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DESIGN OF A BIOLOGICALLY-MEDIATED MANGANESE REMOVAL SYSTEM WITH ULTRAFILTRATION MEMBRANES by CARLOS ANDRES CORREA A thesis submitted to the Graduate School-New Brunswick Rutgers, The State University of New Jersey in partial fulfillment of the requirements for the degree of Master of Science Graduate Program in Civil and Environmental Engineering written under the direction of Dr. Qizhong Guo and approved by ____________________________ ____________________________ ____________________________ New Brunswick, New Jersey October 2011

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Page 1: DESIGN OF A BIOLOGICALLY-MEDIATED MANGANESE REMOVAL …

DESIGN OF A BIOLOGICALLY-MEDIATED MANGANESE

REMOVAL SYSTEM WITH ULTRAFILTRATION MEMBRANES

by

CARLOS ANDRES CORREA

A thesis submitted to the

Graduate School-New Brunswick

Rutgers, The State University of New Jersey

in partial fulfillment of the requirements

for the degree of

Master of Science

Graduate Program in Civil and Environmental Engineering

written under the direction of

Dr. Qizhong Guo

and approved by

____________________________

____________________________

____________________________

New Brunswick, New Jersey

October 2011

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ABSTRACT OF THE THESIS

DESIGN OF A BIOLOGICALLY-CATALYZED MANGANESE

REMOVAL SYSTEM WITH ULTRAFILTRATION MEMBRANES

by CARLOS ANDRES CORREA

Thesis Directors:

Steve Medlar P.E.

Dr. Qizhong Guo

The purpose of this thesis is to propose an innovative system to integrate biologically-

catalyzed oxidation of manganese with ultrafiltration membranes for drinking water

treatment. The published literature dealing specifically with biological processes in

membrane filtration systems is very limited. The literature review is divided into two

related subthemes. The first part of the literature review concentrates on recent

advances in biologically-mediated oxidation of manganese, while the second addresses

the necessary conditions to operate a membrane filtration system including how

biofouling can affect performance.

Manganese in drinking water causes taste and odor problems as well as other nuisance

problems such as discoloration of laundry and staining of fixtures. Manganese can also

cause severe corrosion problems. Biological manganese oxidation is currently being

explored and evaluated by different researchers and institutions such as the American

Water Works Association (AWWA) and the Environmental Protection Agency (EPA).

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Chlorine oxidation of manganese has become increasingly problematic due to the EPA

rule on disinfectant byproducts (DBP), making it necessary to find alternative processes.

Biologically-catalyzed oxidation of manganese is still not fully understood and a

standardized process that can be deployed to treat waters with high concentrations of

manganese has yet to be developed. It is thus necessary to build a pilot system that can

later be scaled up for field application.

Based on findings from studies by other researchers, a full-scale system was designed

based on a 2 million gallon per day (MGD) flow rate in order to understand the footprint

such a system would have compared to a traditional water treatment plant. A pilot-scale

system was designed based on the full-scale system in order to provide a basis for

possible further research and laboratory testing of the system. The pilot-scale design

shows that it is possible to build a biologically-catalyzed manganese removal treatment

system integrated with ultrafiltration membranes with a relatively small footprint.

However, the design presented here is based on many presumptions that remain to be

confirmed once the pilot-scale system is built. With the data from the pilot-scale systems,

adjustments can be made to the system for eventual field implementation.

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Acknowledgements

This thesis would not have been possible without the support and encouragement of

many people who generously contributed their time and knowledge.

First, I wish to extend the most sincere gratitude to my thesis directors Mr. Steve Medlar

P.E. and Dr. Qizhong Guo. Their honest insight and extensive knowledge were

invaluable during the course of this thesis. Also, to Sandy Kutzing who generously

offered her time and insight as a member of the thesis panel.

To the professors and instructors from the Department of Civil and Environmental

Engineering and from the Department of Environmental Sciences for sharing their

knowledge and for encouraging my intellectual growth.

To the staff of the Department of Civil and Environmental Engineering who were always

willing to help and answer my questions.

Finally, my utmost gratitude goes to my wife Karen and my family, who with their love

and caring have supported me throughout this process.

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Table of Contents

Acknowledgements.................................................................................................................... iv

Table of Contents ........................................................................................................................ v

List of Tables .............................................................................................................................. vi

List of Illustrations...................................................................................................................... vi

1 Introduction ........................................................................................................................ 1

2 Summary Background on Manganese.................................................................................. 4

3 Summary Background on Membrane Filtration ................................................................... 8

4 State of the art in biological removal of manganese in membrane filtration systems ......... 12

4.1 Biologically-mediated oxidation of manganese .......................................................... 12

4.2 Operating conditions for membrane filtration systems and biofouling. ...................... 20

5 Problem Statement ........................................................................................................... 25

6 Designing a biologically-mediated manganese removal system ......................................... 26

6.1 Selection of design parameters and equipment ......................................................... 26

6.2 Bioreactor.................................................................................................................. 27

6.3 Intermediate filtration stage ...................................................................................... 33

6.4 Ultrafiltration (membrane filtration) stage ................................................................. 36

7 Designing a pilot scale test system .................................................................................... 39

7.1 Pilot-scale Bioreactor ................................................................................................. 39

7.2 Pilot-scale secondary filtration ................................................................................... 41

7.3 Pilot-scale membrane filtration.................................................................................. 43

7.4 Minor equipment and pump sizing ............................................................................ 44

7.5 Sampling .................................................................................................................... 47

7.5.1 Parameters ........................................................................................................ 47

7.5.2 Sampling interval and methods .......................................................................... 48

8 Discussion ......................................................................................................................... 49

9 Conclusions ....................................................................................................................... 53

10 Further Research ........................................................................................................... 55

11 Bibliography .................................................................................................................. 56

APPENDIX I – Characteristics of bioreactors in reviewed literature ............................................ 59

APPENDIX II – Scaled drawings of pilot scale system .................................................................. 62

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List of Tables

Table 1 – Flow rate and type of microorganisms used by some bioreactors in other studies. ..... 19

Table 2 – Summary of bioreactor specifications ......................................................................... 31

Table 3 – Summary of intermediate filtration stage specifications .............................................. 35

Table 4 – Summary of membrane filtration stage specifications ................................................. 38

Table 5 – Summary of pilot-scale bioreactor specifications ........................................................ 41

Table 6 – Summary of pilot-scale intermediate filtration stage specifications .............................. 43

Table 7 – Summary of pilot-scale membrane filtration stage ...................................................... 44

Table 8 – Estimated initial head loss of pilot-scale system ......................................................... 46

Table 9 – Parameters to be measured....................................................................................... 47

Table 10 – Characteristics of some bioreactors in the literature ................................................. 60

List of Illustrations

Figure 1– Manganese oxide covered rock(Photo: Rob Lavinsky, iRocks.com – CC-BY-SA-3.0) ... 6

Figure 2– Hollow fiber membrane module (Photo: Alexdruz, CC- BY) .......................................... 9

Figure 3– Ultrafiltration modules in Waldassen, Germany (Photo: Benreis, CC-BILD BY) .......... 11

Figure 4– Bacteria of the genre Siderocapsa ............................................................................. 14

Figure 5– Plot for equation used for estimating minimum filter depth .......................................... 19

Figure 6– Sketch of proposed full-scale bioreactor .................................................................... 32

Figure 7– Diagram of filtration vessel (based on Cuno Betapure vessel dimensions) ................. 36

Figure 8– Dead-end direct filtration mode of membrane modules .............................................. 37

Figure 9– Side view of pilot-scale system .................................................................................. 45

Figure 10 – Scale side view of pilot-scale system ...................................................................... 63

Figure 11 – Scale plan view of pilot-scale system ...................................................................... 64

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1 Introduction

Manganese is not considered harmful to human health except at very high

concentrations (US EPA, 2004). However, manganese can cause nuisance problems in

drinking water such as discoloration, staining, rust, taste, and odor. In traditional water

treatment plants, high concentrations of manganese in water have been addressed

mainly through chemical oxidation using chlorine and manganese oxide coated media to

catalyze the precipitation of manganese. Manganese oxide coated media normally also

requires a constant feed of oxidants to maintain its properties.

The second section of this thesis briefly summarizes the problems associated with high

concentrations of manganese and some of the treatment techniques commonly

employed. The third section briefly summarizes what membrane filtration is and the

associated terminology. The fourth section summarizes the current knowledge on

biologically-catalyzed removal of manganese and on optimal operating conditions for

membrane filtration systems. Sections 6 and 7 present the design process of a full-scale

and pilot-scale plant respectively.

In recent years, membrane filtration has emerged as a leading technology for water

treatment because membranes can effectively remove pathogens from water.

Disinfection kills pathogens but leaves them in the water. With the advent of membrane

filtration, a new series of challenges has evolved for treating certain contaminants. For

example, some types of membranes do not tolerate the high or low pH required by

certain processes. Membranes can degrade in the presence of chemicals that have

been extensively used in the water treatment industry (Viessman et al., 2008). In the

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case of manganese, chemical oxidation requires a high pH. The precipitation of oxidized

manganese particulates can rapidly clog a membrane filtration system. In applications

with limited space, it might not be possible to fit a full chemical oxidation system and the

equipment required to adjust the pH before the membranes. Biologically-catalyzed

manganese removal is known to be effective even at neutral pH but usually requires a

large footprint as can be concluded from the slow flow rates observed in other pilot plant

studies (See Table 1 in section 6).

However one study showed that it is possible to have flow rates above 1 foot per minute

(ft/min) through bioreactors seeded with manganese-catalyzing bacteria (Stembal et al.,

2005). This thesis proposes that with properly sized media of almost uniform size and

high porosity, a biologically-mediated system with a small footprint is possible. The

proposed system is composed of a bioreactor, an intermediate filtration stage, and a

membrane filtration stage. The bioreactor is based on a modified version of the one used

by Stembal et al. (2005) but using media with different characteristics. The constants

used to size the reactor proposed by this thesis can be adjusted once the pilot-scale is

built. However, it was designed with enough tolerance that if the actual velocity or

pressure drop is higher than anticipated, the system will most likely be capable of

handling it.

Section 8 discusses design alternatives that were considered for the proposed system

and the reasons for using the type of bioreactor used in the final design. The alternatives

not used in the final design included ultrasonic disinfection and dual core membranes.

The design chosen is based on proven and tried methods that have been successfully

used for different purposes under laboratory or field conditions. A purely theoretical

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approach to completely novel technologies would have had too many unknowns, while

the proposed system is likely to work under actual field conditions.

The proposed system has not been tested under laboratory conditions. The system

should be sufficiently robust to warrant laboratory testing at a later date. This system

could have potential full-scale applications for membrane filtration systems that require

the removal of manganese while maintaining a small footprint relative to traditional water

treatment plants. Traditional water treatment plants can occupy an area up to 8 times

that of a membrane filtration plant (Medlar, 2009). The proposed design would take

approximately one fifth of the space required by a conventional treatment plant using

flocculation and settling. The design proposed in this thesis also offers the advantage of

not relying on chemical processes to remove manganese.

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2 Summary Background on Manganese

Manganese (Mn) is a commonly found element in water and soils. Manganese plays an

important role in the biogeochemical cycling of carbon and of metals such as lead and

iron (Spiro et al., 2010). Reduction of insoluble Mn(IV) is a naturally occurring process

and is also a well-known mechanism for the oxidation of some organic contaminants in

water. This process occurs in most anaerobic sedimentary environments and is the

major cause for the release of soluble Mn(II) found in many aquifers and surface waters

(Viessman et al., 2008). Normal concentrations of manganese in groundwater ranges

from 0.1 to 1 milligram per liter (mg/L), but it can reach levels of several units in some

settings (Katsoyiannis and Zouboulis, 2004). Due to anoxic conditions common to

aquifers and to the hypolimnion of reservoirs and lakes, soluble manganese is

particularly prevalent in groundwater and in the bottom of reservoirs and lakes

(Viessman et al., 2008).

Manganese can be found in many oxidation states (+2, +3, +4, +5, +6, +7). In nature

manganese is most commonly found in the +2, +4 and +7 oxidation states (Kohl and

Medlar, 2006). In the +2 state, which is commonly expressed as Mn(II), it is highly

soluble in water and must be removed from drinking water down to the treatment

standard of 0.05 mg/L (e-CFR, 1979). Mn(II), however, is unstable and tends to oxidize

and precipitate or dissociate to either Mn (III) or Mn (IV) (Tekerlekopoulou et al., 2008).

In fact, the oxidation of manganese occurs naturally in the environment but at a very

slow rate. A recent study estimated that at neutral pH without catalysts or photochemical

enhancements, it could take up to 500,000 years for the oxidation of Mn(II) to occur

naturally (Spiro et al., 2010). Another recent study concluded that very little oxidation of

Mn(II) can be observed below pH 8 and that in many occasions it proceeds even more

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slowly in the presence of iron (Hallberg and Johnson, 2005). Given these conditions, the

removal of manganese from waters with concentrations over the secondary treatment

standard of 0.05 mg/L needs to be addressed by promoting more favorable conditions

either through chemical or biological means.

High concentrations of manganese have been observed in surface waters both from

anthropogenic and from naturally occurring sources. A common source of high

manganese concentrations in surface waters is mine drainage from coal mining and ore

extraction. High concentrations of soluble manganese can increase the acidity of mine

drainage waters (Hallberg and Johnson, 2005). Concentrations of soluble Mn in mine

drainage polluted waters has been found to be as high as 90 mg/L (Edwards et al.,

2009) with the added problem that in many cases these waters are acidic in nature

(Hallberg and Johnson, 2005) and Mn oxidation occurs preferentially under alkaline

conditions.

Manganese is not considered a toxic contaminant when ingested at concentrations

below 500 µg/l. However, at levels above 100 µg/l, manganese produces several

nuisance effects such as staining of laundry and fixtures (Tekerlekopoulou et al., 2008)

as well as raising odor, color and taste considerations (Qin et al., 2009). While

manganese is not considered to be toxic at low concentrations, certain studies have

shown a high correlation between high levels of manganese and the toxicity levels of

lake sediment pore water (Hallberg and Johnson, 2005). Apart from the organoleptic and

nuisance considerations, the control of dissolved manganese in drinking water is

important because manganese can oxidize in the presence of oxygen and clog wells and

pipes (e-CFR, 1979) due to the precipitation of manganese oxides and the formation of

catalyzing-bacteria biofilms.

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The United States Environmental Protection Agency (US EPA) has set legally

enforceable primary maximum contaminant levels in drinking water for contaminants that

pose serious risk when ingested above certain concentrations. US EPA has also set

non-enforceable National Secondary Drinking Water Regulations to regulate

contaminants, such as manganese, that do not pose serious health risks in drinking

water but cause nuisance problems. The secondary standard for manganese has been

set at 0.05 mg/L (US EPA Office of Ground Water and Drinking Water, 2006). According

to Kohl and Medlar (2006), the standard was originally established subjectively. Recent

studies have found that manganese can cause nuisance problems at lower levels than

the current secondary treatment standard and have thus recommended lowering the

allowable concentration of manganese below 0.02 mg/l (Kohl and Medlar, 2006).

It is necessary to remove manganese from drinking water with high concentrations due

to the associated nuisance and health problems. In traditional water treatment plants

that use settling and sand filters, the removal of manganese can be accomplished

through chemical oxidation or through the use of manganese oxide coated media (Islam

et al., 2010). Figure 1 shows a manganese oxide coated rock with characteristic dark

black coloring.

Figure 1– Manganese oxide covered rock (Photo: Rob Lavinsky, iRocks.com – CC-BY-SA-3.0)

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Oxidation of Mn(II) to the insoluble form Mn(IV) allows for the precipitation of manganese

oxides. Some of the common processes used for the removal of manganese from

drinking water include chemical sequestration, chemical oxidation/filtration, chemical

oxidation/clarification/filtration, ion exchange, lime/soda ash softening, biological

treatment, and ballasted flocculation (Polito, 2011). Chemical oxidation followed by

physical filtration has been used extensively and remains one of the most common

approaches to manganese removal (Kohl and Medlar, 2006). Several oxidizing agents

can be used for the chemical oxidation of manganese including oxygen, ozone,

potassium permanganate, chlorine dioxide, and hypochlorous acid. Chemical oxidation

of manganese requires a high pH (usually above 9.5) and good aeration (Johnson and

Younger, 2005; Viessman et al., 2008). This high pH is not a problem for sand filters and

the pH can be lowered once the manganese has precipitated. The use of chemical

oxidation with chlorine has decreased in recent years because it can cause harmful

secondary byproducts to be formed (US EPA, 2010).

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3 Summary Background on Membrane Filtration

Membrane filtration is a water treatment method consisting of a synthetic fabric

(membrane) that provides a physical barrier to retain particles exceeding a certain size

or molecular weight. Membranes used in drinking water applications can be either

submersible or encased (AWWA Subcommittee on Periodical Publications of the

Membrane Process Committee, 2008).

Submersible membranes are submerged in tanks containing water to be treated and

filter the contaminants by forcing water to the inside of the membrane, leaving the

contaminants to concentrate in the tank. Submersible membranes are normally operated

under atmospheric pressure and water is forced to pass through the membrane using a

vacuum. This kind of membrane is usually cleaned using air jet pulses in reverse flow

mode. Submersible membranes are more common in retrofits than in new applications

(AWWA Subcommittee on Periodical Publications of the Membrane Process Committee,

2008).

Encased membranes work under pressure and consist of a protective outer encasement

with the membrane itself inside. There are two main configurations found in encased

membranes: hollow fiber and spiral wound (also called flat sheet) (Paul, 2002). Spiral

wound membranes consist of several layers of flat sheets of material rolled around a

central core. Hollow fiber membranes on the other hand consist of thin hollow strands of

material bundled together. Hollow fiber membranes are encased inside a protective

cover. Figure 2 shows a typical hollow fiber membrane module.

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Figure 2– Hollow fiber membrane module (Photo: Alexdruz, CC- BY)

Encased membranes can be operated either in crossflow or direct filtration mode. The

difference between these two modes of operation is that in crossflow operation, part of

the concentrate is recirculated, while in direct filtration mode, there is no recirculation

(AWWA Subcommittee on Periodical Publications of the Membrane Process Committee,

2008). Encased hollow fiber membranes will be used for practical purposes in this thesis

because they offer certain advantages over submerged and spiral wound membranes

like higher flow rates and better chemical resistance.

In recent years, membrane filtration plants have become more and more common

because they offer certain advantages over other disinfection methods. An advantage of

membrane filtration plants is that they usually have a smaller footprint than traditional

water treatment plants. Membranes can potentially remove bacteria rather than

inactivating them with a disinfectant like most traditional systems do (Viessman et al.,

2008). Finally, since less disinfectant products, such as chlorine, need to be used in

membrane filtration plants, the potential for disinfectant byproducts is reduced. Excess

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chlorine in water can react with other elements present in the water to form disinfectant

byproducts that are detrimental to human health. Trihalomethanes, haloacetic acids, and

chlorite are among the disinfection byproducts that the EPA has identified as deriving

from chlorine residuals in drinking water (US EPA, 2010).

The removal of manganese can be problematic in water treatment plants that use

membranes. Membranes generally do not tolerate the high pH required for chemical

oxidation of manganese and they can become clogged rapidly with the precipitated

manganese or with microorganisms contained in the water or that migrate from other

points in the treatment system (biofouling). In conventional water treatment systems,

biological oxidation of manganese can occur naturally in sand filters due to the formation

of biofilms of manganese-oxidizing bacteria (Tekerlekopoulou et al., 2008). When

membrane filtration is added to such a system, membranes can quickly be clogged due

to biofouling. One of the goals of this thesis is to propose a system where biological

oxidation of manganese can be used prior to a membrane filtration stage without

causing biofouling of the membranes.

Recent studies have shown that biologically-mediated oxidation of Mn(II) can occur at

much lower pH than purely chemical oxidation. Bacterial oxidation of Mn(II) to Mn (IV)

has been shown to occur at a pH as low as 6.5 and 7.2 (Burger et al., 2008;

Katsoyiannis and Zouboulis, 2004). Manganese is often found together with iron in

groundwater (El Araby et al., 2009) and many of the same bacteria are capable of

catalyzing the oxidation of both elements (Katsoyiannis and Zouboulis, 2004).

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Figure 3– Ultrafiltration modules in Waldassen, Germany (Photo: Benreis, CC-BILD BY)

Bio-fouling can affect the performance of membranes and cause their premature

replacement, adding a financial burden to the operation. Biological oxidation generally

requires a prolonged contact time that is not compatible with the flow rate and pressure

necessary for membrane filtration, and biological treatment systems can have a large

footprint that might not be available or practical where membrane filtration systems have

been implemented.

The objective of this research is to explore how biological oxidation of manganese can

be applied to membrane filtration plants while avoiding the problems that are known to

happen while maintaining a small footprint.

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4 State of the art in biological removal of manganese in

membrane filtration systems

The literature on removal of manganese from drinking water through biologically-

mediated oxidation is limited and scarce. Most of the existing literature on manganese

removal focuses on chemical oxidation processes like the ones previously mentioned.

Some biological oxidation processes used in wastewater treatment applications are

described in a few journal articles. Presently only one reference was available that

addresses specifically membrane filtration coupled with biologically mediated oxidation

of manganese, but it describes an application with submerged membranes and granular

activated carbon (Suzuki et al., 1998).

Since the availability of references for the topic of biological oxidation of manganese in

drinking water applications is so limited, the literature review revolves around two related

topics: biologically-mediated oxidation of manganese, and membrane filtration systems

and biofouling.

4.1 Biologically-mediated oxidation of manganese

Biologically-mediated oxidation of manganese refers to a process in which

microorganisms are used to help catalyze the oxidation of manganese from a soluble to

an insoluble state (usually from Mn(II) to Mn(IV)). Biologically-mediated oxidation of

manganese has gained popularity in the United States in the last few years, but there

are still many parts of the process that remain poorly understood (Spiro et al., 2010). For

example, the physiological mechanism of bacterial oxidation of Mn(II) is still being

researched, and many of the variables involved (such as the impact of UV light and the

types of viable reactive oxygen, among others) remain to be fully comprehended (Spiro

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et al., 2010). Additionally, biofilms in drinking water systems are known to contain a wide

diversity of microorganisms and many of them have not been cultured so very little

information on their genetic identity is available (Zhu et al., 2010). The interactions

between different types of microorganisms that might enhance or harm the oxidation

process of manganese are unknown. However, while chemical processes using strong

oxidants such as potassium permanganate or chlorine dioxide can leave residuals or

produce harmful secondary byproducts (Katsoyiannis and Zouboulis, 2004), biologically-

mediated reactions have not been reported to produce known harmful byproducts or

residuals.

Most of the solid phases formed by biologically-oxidized manganese appear to be in the

+4 state, although other oxides such as manganite (MnO[OH]), where manganese is in

the +3 state, have also been observed (Spiro et al., 2010). Once manganese is in a solid

phase, it can be precipitated or filtered and removed from the water. Microorganisms can

contribute to the oxidation process of manganese either by precipitating the manganese

directly or by accumulating manganese oxides on their surface (Spiro et al., 2010) or on

the surface of the biologically active media (Tekerlekopoulou et al., 2008), which in turn

helps the manganese oxidize and precipitate.

According to several studies consulted, there are species of bacteria, algae, and fungi

that are capable of catalyzing the oxidation of Mn(II) to Mn (III) or Mn(IV) and they are

found in nature in many forms (Robbins and Corley, 2005; Spiro et al., 2010). Some of

the microorganisms known to be present in biological treatment systems for manganese

removal are Bacillus sp. Strain SG-1, Pseudomonas putida, Leptothrix discophora,

Pedomicrobium sp, Crenotrix, Siderocapsa, Hyphomicrobium, and Metallogenium

among others (Katsoyiannis and Zouboulis, 2004; Pacini et al., 2005; Spiro et al., 2010;

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Tekerlekopoulou et al., 2008). The most widely studied manganese oxidizing bacteria

appears to be Leptothrix discophora, which has been demonstrated to be effective for

catalyzing the oxidation process. However, it is not conclusive that this is the most

effective type of microorganism for manganese oxidation, or that, in a biofilm that

contains this species it will be the sole organism responsible for the oxidation process.

For example, in a comparative study conducted in Canada, a filter with an indigenous

biofilm without any presence of L. discophora appeared to perform better than a filter

seeded with L. discophora exclusively (Burger et al., 2008). Further, in field studies it has

been observed that different species can be active in manganese precipitation during

different seasons, and that the microorganisms can even vary from one year to the next

(Robbins and Corley, 2005). It should be noted that in one particular study it was

mentioned that Pedomicrobium manganicum and Metallogenium sp. were particularly

prevalent in high water velocity conditions where Mn deposition was observed (Kohl and

Medlar, 2006).

Figure 4– Bacteria of the genre Siderocapsa

(Photo: David J. Patterson, CC- BY NC)

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There are several documented methods of biologically-mediated water treatment

systems for the removal of Manganese (Aziz and Smith, 1996; Burger et al., 2008;

Edwards et al., 2009; Gantzer et al., 2009; Ginter and Grobicki, 1997; Hallberg and

Johnson, 2005; Hope and Bott, 2004; Johnson and Younger, 2005; Katsoyiannis and

Zouboulis, 2004; Pacini et al., 2005; Qin et al., 2009; Stembal et al., 2005; Suzuki et al.,

1998; Tekerlekopoulou et al., 2008; Tekerlekopoulou and Vayenas, 2008; Thornton,

1995; Yang et al., 2009; Yoo et al., 2004; Zhu et al., 2010). One method used in mine

drainage waters with very high content of manganese uses a passive treatment method

involving algal ponds and several other passive treatment steps (Hallberg and Johnson,

2005). However, this system is extremely complex and uses a very large land area due

to the high concentration of manganese in acid mine drainage. Given the complexity of

the system and the extremely high manganese content present in acid mine drainage,

the system is not applicable to the treatment of drinking water. The method offers useful

insight on the need to provide a reliable source of carbon for microorganisms to thrive as

well as a suitable media for attachment. In most cases, it has been documented that

enough dissolved oxygen needs to be present for manganese to be successfully

oxidized by biologically-mediated processes (Johnson and Younger, 2005; Pacini et al.,

2005; Tekerlekopoulou et al., 2008). A more suitable method for the removal of

manganese in drinking water applications seems to be the use of bioreactors.

Bioreactors consist of a containment device filled with a type of media that provides

good conditions for biological growth to occur. The media can either be seeded with

microorganisms or allowed to grow a biofilm of naturally occurring microorganisms in the

feed water. As water flows through the media, the biofilm develops. The

microorganisms, in turn, help catalyze the oxidation of manganese and its subsequent

precipitation and deposition on the media. Manganese oxides deposited on the media

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help further catalyze the oxidation of manganese (Tekerlekopoulou et al., 2008). Several

types of media have been used in biological reactors for manganese removal. These

include sand (Hope and Bott, 2004; Qin et al., 2009; Stembal et al., 2005), polyethylene

beads (Katsoyiannis and Zouboulis, 2004), limestone (Johnson and Younger, 2005;

Thornton, 1995), and gravel (Pacini et al., 2005; Tekerlekopoulou et al., 2008). In all

cases, the bioreactor needs to “mature” and acclimate before reaching its full

manganese-removal potential. Maturation involves passing water with a sufficient

amount of dissolved oxygen through the media and letting the microorganisms develop

on the surface. The microorganisms can either be seeded in the bioreactor from an

external source known to contain manganese-oxidizing organisms, or by allowing the

naturally occurring organisms in the source water to grow. Depending on the method

used and on the conditions of the bioreactor (e.g. availability of dissolved oxygen), the

maturation time can take from a few weeks to several months (Tekerlekopoulou et al.,

2008). The amount of dissolved oxygen available in the bioreactor is often enhanced by

injecting air through mechanical devices. Some studies suggest that the aeration

process itself rather than the added oxygen can aid the oxidation process because the

bubbles created assist the mass transfer of oxygen to the surfaces where reactions

occur (Johnson and Younger, 2005).

The rate at which water can be treated, pH range, dissolved oxygen concentration, water

temperature, effective manganese removal capacity, maturation time, and size and

configuration of the bioreactor varies greatly from one study to another. In a field study

conducted on natural attenuation of acid mine drainage, for example, it was observed

that the amount of precipitation of manganese oxides changed according to the season

and other environmental conditions. Precipitation was more efficient in the summer

possibly due to warmer water temperatures and better oxygenation (Robbins and

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17

Corley, 2005). Even with such a high degree of variability and uncertainty in the right

combination of parameters, a number of different configurations of pilot bioreactors have

reported success in reducing the concentration of manganese to drinking water

standards, which has been set at 0.05 mg/L both in the US (e-CFR, 1979) and in the

European Union (The Council of the European Union, 1998). One study in particular

suggests that bioreactors can remove manganese at a higher rate than chemical

processes (Pacini et al., 2005). Table 10 in Appendix I summarizes some of the main

characteristics of the bioreactors in the studies reviewed.

There are many possible configurations of bioreactors that can effectively remove

manganese from drinking water (Aziz and Smith, 1996; Burger et al., 2008; Edwards et

al., 2009; Ginter and Grobicki, 1997; Hallberg and Johnson, 2005; Hope and Bott, 2004;

Johnson and Younger, 2005; Pacini et al., 2005; Qin et al., 2009; Stembal et al., 2005;

Tekerlekopoulou et al., 2008; Tekerlekopoulou and Vayenas, 2008; Thornton, 1995;

Yang et al., 2009; Yoo et al., 2004; Zhu et al., 2010). While some conclusions can be

drawn from the studies, such as the need for a sufficient amount of dissolved oxygen

and the possibility of using water with near neutral pH, many other variables might be

beyond the control of the designer of a treatment system. For example, the initial

manganese concentration will depend on the source water. While one system can be

effective under certain water quality parameters at a set treatment rate, the same system

may not work for another set of conditions. Another variable that might be difficult to

control is the presence of native microorganisms in the water, which can compete with

seeded microorganisms in the bioreactor. The native microorganisms can alter the

chemical and biological balance of the system and affect its efficiency for manganese

removal. Also, other elements or chemicals present in the source water can affect the

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bacterial population and rate of growth. This will possibly affect how the biofilm will

respond to manganese.

In some studies, it has been noted that the effective surface area of the media is critical

to the success of the biofilter (Tekerlekopoulou et al., 2008). A larger surface area

translates into more places for the microorganisms to attach. However, a larger effective

surface area also means smaller grain sizes in the media for a given filter volume. The

filter can clog more rapidly (Tekerlekopoulou et al., 2008). An important operational

consideration is to control the biofilm thickness in order to prevent filter clogging and the

associated head loss which consequently affects the treatment flow rate. Frequent

backwashing may be necessary to control this variable (Zhu et al., 2010). The

maturation time for bioreactors using different microorganisms is difficult to predict as

can be seen from the large variations presented in Table 10 (Appendix I). In general, the

maturation time involves passing aerated water through the filter column for a certain

amount of time until the formation of a biofilm is observed on the media (Hope and Bott,

2004).

An equation for the concentration profile for mass-transfer has been proposed by

researchers from the University of Zagreb for estimating the size of a bioreactor for

manganese removal (Stembal et al., 2005):

����� = exp− �� ��

Where, CA is the target concentration of manganese, CA0 is the initial concentration, u is

the flow velocity, L is the depth of the media, K is the treatability factor, and n is a factor

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related to the media characteristics; these two last factors are obtained experimentally

(Stembal et al., 2005). This sizing formula can be a good starting point for a bioreactor

design, but specific site characteristics will ultimately play an important role. For

example, turbidity and the presence of other contaminants might affect the performance

of the bioreactor.

Figure 5– Plot for equation used for estimating minimum filter depth

with target concentration of 0.02 mg/L and flow velocity of 15 m/h (0.82 ft/min)

0

0.2

0.4

0.6

0.8

1

1.2

0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2

Min

imu

m F

ilte

r D

ep

th (

m)

Initial Concentration (mg/L)

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Table 1 – Flow rate and type of microorganisms used

by some pilot and bench-scale bioreactors in other studies.

Type of bioreactor Source of microorganisms Flow rate Flow rate

(gpm)

Trickling filter with silicic

gravel

Seeded with sample from

wastewater plant

500 to 2000 ml /

min 0.53 gpm

Up-flow filtration columns

with PE beads Leptothrix ochracea from sludge 7 m / h 0.11 gpm

Down-flow bioreactor

Coated stones taken from

stream – Phoma herbarum and

Pleosporales identified as main

catalysts

N/A N/A

Down-flow bioreactor. One

with manganese sand and

one with siliceous sand

Filter sand from old sand filter of

existing plant – Leptothrix

identified

3.9 L/h 0.017

gpm

Down flow sand filter Leptothrix discophora SP-6 N/A N/A

Pressure sand filters

Leptothrix discophora SP-6 and

indigenous biofilm from

microorganisms in the source

water.

1 mL/min 0.000264

gpm

Limestone-filled tanks Indigenous biofilm from existing

ponds 3.8 L/min 1 gpm

Dolomite substrate with a

bentonite and MnO2 basal

layer.

Indigenous biofilm – not

attempted to identify bacteria 5 mL/min

0.00132

gpm

Quartz sand 0.5 to 2 mm Siderocapsa from operating

plant 22 m/h 12 gpm

Gravel 10-15 mm Galionella – biofilm allowed to

develop spontaneously 12 m/h N/A

Hybrid MF membranes with

PAC and sludge

Sludge from wastewater

treatment plant – leptothrix

ochracea and siderocapsa

0.00625 m/h N/A

4.2 Operating conditions for membrane filtration systems and biofouling.

There are 4 types of membranes that can be used for drinking water applications:

microfiltration (MF), ultrafiltration (UF), nanofiltration (NF) and reverse osmosis (RO)

membranes. Nanofiltration and reverse osmosis membranes are typically used in

desalination or to treat brackish waters. Nanofiltration and reverse osmosis membranes

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can remove Mn (II) but will likely foul with Mn (IV). Nanofiltration and reverse osmosis

membranes need high pressures to operate (200 to 500 psi typically) given their reduced

pore size and high osmotic pressure. Most common in the drinking water treatment of

surface and ground waters are microfiltration and ultrafiltration membranes, which are

often referred to as low pressure membranes (AWWA Membrane Technology Research

Committee, 2005). While microfiltration membranes typically have a pore size of 0.1

microns (µm), ultrafiltration membranes have a typical pore size of 0.01 µm (Paul, 2002).

Giardia and Cryptosporidium have typical sizes larger than 3 µm, so both types of

membranes will remove them. However, many viruses have smaller sizes than

protozoan organisms and can bypass microfiltration membranes; but they are typically

retained by ultrafiltration membranes (AWWA Subcommittee on Periodical Publications

of the Membrane Process Committee, 2008). The removal of microorganisms by

membranes is usually measured in logs. There are studies that have shown up to 7 logs

(99.99999%) removal of protozoans by ultrafiltration membranes (AWWA Subcommittee

on Periodical Publications of the Membrane Process Committee, 2008).

According to the available literature, membranes offer certain advantages over other

methods of pathogen removal, especially with respect to the regulations on disinfectant

byproducts, due to their capacity to remove pathogens without depending on chemical

treatment (AWWA Membrane Technology Research Committee, 2005). Disinfectant

byproducts are formed when residual disinfectants react with other chemicals in the

water to form different substances, some of which are detrimental to human health and

aquatic flora and fauna.

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Several materials can be used for MF and UF membranes, the most common in drinking

water applications are polyvinylidene fluoride (PVDF), polyethersulfone (PES),

polysulfone (PS), and cellulose acetate (CA) (AWWA Subcommittee on Periodical

Publications of the Membrane Process Committee, 2008). Given the limited number of

membrane manufacturers, it is typical for each one to have a proprietary technology and

choose a suitable material. For example, Koch’s ultrafiltration membranes are spiral

wound membranes that use PES with a polyester backing material (Koch Membrane

Systems Inc., 2011). Toray, on the other hand, uses hollow fiber membranes

constructed of PVDF with a Polyvinyl Chloride (PVC) casing for their ultrafiltration

applications (Toray Industries Inc., 2011). CA membranes were common in the past but

have slowly been replaced by PVDF membranes due to their propensity to biological

attack and hydrolysis (AWWA Membrane Technology Research Committee, 2005).

However, PVDF membranes are not without their faults; they have low mechanical

resistance so they tend to be more fragile than membranes built from other materials

(AWWA Membrane Technology Research Committee, 2005).

The amount of water that can pass through a membrane is measured as flux, which is

the flow per unit area (AWWA Subcommittee on Periodical Publications of the

Membrane Process Committee, 2008). Some common units for flux are gallons per

square foot per day (GFD) or cubic meters per hour per square meter of membrane area

in the SI system. In some cases, flux can also include units of pressure since the flow

going through the membranes is proportional to the pressure of the system. The flux of a

system will impact the fouling rate, the durability of the membranes and the operating

costs among other variables (Freeman et al., 2006). Membrane systems can be

designed to work either at constant pressure or at constant flux using variable speed

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drives for the pumps to compensate for the loss in flux caused be fouling (AWWA

Subcommittee on Periodical Publications of the Membrane Process Committee, 2008).

Fouling can be caused by suspended particles, organic matter or biological

contaminants (biofouling). Fouling can be either reversible or irreversible. Biofouling in

membranes can become irreversible due to the attachment of microorganisms and the

formation of biofilms (AWWA Subcommittee on Periodical Publications of the Membrane

Process Committee, 2008). While several methods such as surface modification have

been tested in an attempt to minimize membrane fouling, the additional hydraulic

resistance created by these surface modifications is a handicap to the practical

application of the modified membranes. Also, since fouling is normally associated to

several processes and materials (e.g. NOM, inorganic compounds, organic colloids), it is

very difficult to create a type of membrane that will resist fouling across a wide enough

spectrum of conditions (AWWA Membrane Technology Research Committee, 2005).

Backwashing in combination with chemical cleaning can be used to partially control

fouling (AWWA Subcommittee on Periodical Publications of the Membrane Process

Committee, 2008). However, part of the fouling will be irreversible and the membranes

will eventually need to be replaced. Biofouling needs to be controlled in order to keep

irreversible fouling under control. Usually the particles rejected by the membranes will

form a cake layer on the membrane surface and in many cases reduce the flux of water.

Air sparging is commonly used to encourage mass transfer of accumulated material

away from the surface, thus restoring part of the lost flux (AWWA Membrane Technology

Research Committee, 2005). However, the material that is not removed or becomes

permanently attached will create irreversible fouling. Also, certain microbial substances

tend to modify the adhesive strength of the membrane surfaces which can promote more

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bacterial attachment, sometimes resulting in the formation of a biofilm (AWWA

Membrane Technology Research Committee, 2005).

From the specifications data sheet of ultrafiltration membranes from two manufacturers

(Koch Membrane Systems Inc., 2011; Toray Industries Inc., 2011), commercially

available ultrafiltration membranes used in drinking water processes typically operate

between 30 and 60 psi and up to a temperature of 50 °C. The maximum continuous free

chlorine to avoid deterioration is 2 mg/L. The presence of iron or other catalyzing metals

in the presence of chlorine can cause the membrane to degrade prematurely. In the

case of manganese removal that concerns this research, any chlorine would need to be

added after the water passes through the membranes. Design pH levels are between 1

and 10 and the maximum design turbidity in the feed water is 1 NTU, but it is

recommended not to exceed 0.2 NTU in order to avoid a high cleaning frequency. The

design flux of the membranes is between 10 and 22 GFD for the Koch membranes and

21 to 65 GFD for the Toray (where GFD = Gallons per square Foot of membrane area

per Day). The transmembrane pressure is typically kept between 7 and 30 psi (AWWA

Subcommittee on Periodical Publications of the Membrane Process Committee, 2008).

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5 Problem Statement

In order to successfully implement a biologically-mediated manganese removal system

in membrane filtration applications, it is necessary to find a way to avoid fouling of the

membranes while keeping the system small and without the addition of high doses of

chemicals.

Membrane filtration offers an excellent alternative to conventional water treatment

models because it can reduce the amount of disinfectant byproducts, reduce the surface

area of a water treatment facility, and completely remove bacteria and viruses.

Biologically-mediated manganese removal can be an alternative to purely chemical

processes and can also avoid the addition of chemicals that can potentially lead to the

formation of harmful byproducts. Further, in membrane filtration systems, using

biologically-mediated removal of manganese could avoid fouling of the membranes

caused by flocculation and sedimentation processes associated with chemical treatment

systems. However, coupling biological treatment systems and membrane filtration poses

several challenges. On one hand, biofouling can cause the membranes to clog

prematurely and cause a shortened life span that can potentially drive up operating

costs. Biofouling of the membranes could be driven by migration of microorganisms from

the bioreactor stage or by other microorganisms that pass through the system. On the

other hand, most biological remediation systems require a long contact time and thus

low water velocities which translate into large system footprints, while membrane

filtration systems are known for having a small footprint and high water output when

compared to traditional systems. Given that one of the advantages of building a

membrane filtration plant can be the efficient use of space, having a large footprint

biological remediation system attached to it would be inconvenient.

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6 Designing a biologically-mediated manganese removal system

6.1 Selection of design parameters and equipment

The calculations for the proposed system will be based on parameters for a full scale

water treatment plant and later scaled down to pilot scale size. The design was planned

this way to have an estimate of the footprint of a full scale system. Hydraulic scaling can

be problematic but having an initial full scale design will provide useful data so the pilot

scale system will replicate as closely as possible the conditions of a full scale system.

The design will assume a 2 million gallon per day (mgd) water treatment plant. The

membranes used will be Toray HFS-2020 Ultrafiltration membranes (specifications

available at http://www.toraywater.com/america/en/Home.aspx). These membranes are

some of the most common in water treatment plants and have excellent chemical

resistance and mechanical properties. The filtration rate will be calculated in the next

sections based on manufacturer recommendations and on the performance expected

from the system.

From the literature review, it was observed that Siderocapsa was the microorganism of

choice in the only study where bioreactors were successful in removing manganese with

high flow rates (Table 1). For this reason, it will be assumed that the bioreactor will be

seeded with this genre of bacteria. It might be necessary to isolate and culture this type

of microorganisms in order to conduct the experiment or to identify a nearby wastewater

treatment facility with sludge that contains it. In the study cited, the bacteria observed

came from sludge from a wastewater treatment plant used to seed the plant and the

specific strain was not identified (Stembal et al., 2005). The substrate used for the

bioreactor will be gravel with a nominal diameter of 4 mm. The original experiment by

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Stembal et al. (2005) used quartz sand ranging from 0.5 to 2 mm; however, it is believed

that by having a larger pore size, the flow rate per unit area can be increased.

An intermediate filtration stage will be included between the bioreactor and the

membrane filtration stage. The filters used for this stage will be the Cuno Betapure NT-T

Series (specifications available at http://www.cuno.com/) with an absolute rating of 2

microns, which should minimize the bacteria migrating to the final membrane filtration

stage. These filters are constructed of polypropylene and have a high chemical

compatibility. Also, their price is much lower than that of the Toray membranes (more

than 50 times less for the same flow rate), so fouling and replacing of these elements will

be less expensive than having to replace fouled membranes. The filters will be paired

with a Cuno Express Series Filter Housing constructed in 316 L Stainless Steel

(specifications available at http://www.cuno.com/). The sizing of this unit will be

determined in subsequent sections.

The raw water manganese concentration used for this study will be around 1 mg/L,

which is a reasonable assumption of what could be encountered under field conditions

(Viessman et al., 2008). It will be assumed that the source water used will be either

surface or ground water with an average concentration close to 1 mg/L.

6.2 Bioreactor

As mentioned previously, the bioreactor will use 4 mm nominal diameter gravel as the

substrate. Other substrates such as anthracite and limestone could be used, but due to

the high velocities that the system will operate at, gravel should offer the mechanical

properties and roughness that shall allow the microorganisms to attach firmly. A previous

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study showed that a similar setup can effectively remove Mn at a rate up to 1.2 ft/min (22

m/h) (Stembal et al., 2005). The gravel will have to be sorted carefully in order to

maintain the particle size as uniform as possible. This will allow having a high porosity

and thus keeping the bioreactor small. The initial calculations will be based on a rate of

0.8 ft/min but this velocity would be ramped up during laboratory testing in order to

determine the maximum velocity at which the system could still be effective for removing

manganese down to 0.02 mg/L.

A total flow of 2 mgd translates approximately to 185.67 ft3/min. So with a rate of 0.8

ft/min, the surface area of an empty pipe to convey the flow would be:

� = 185.67���/���0.8��/��� = 232.1��!

However, since the bioreactor contains gravel, the actual flow area consists of the

openings between the gravel particles. Given the large nominal size of the gravel being

used and the uniformity in size expected, it will be assumed that the total porosity of the

setup will be around 50%. With this porosity, the effective surface area of the bioreactor

would be:

�" = 232.1��!0.50 = 464.2��!

If a circular bioreactor is used, the radius of the bioreactor would be:

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$ = %464.2��!& = 12.15��

Given that there is a large margin of tolerance for the velocity, and that a 24 foot

diameter could pose problems for the construction and water distribution through the

surface, an array of 4 bioreactors with a 12 foot diameter each will be proposed. With

this adjusted diameter, the velocity of water passing through the system will be 0.82

ft/min keeping the total flow at 2 mgd.

The minimum filter depth can be calculated by rearranging the concentration profile

equation (Stembal et al., 2005):

� = −'� � ( ln ' �����(

Since the values of K and n in the previous equation are determined experimentally,

there is no way of knowing what their value will be before running laboratory or pilot

scale testing. Using K=30.2 and n=0.74 as found by Stembal et al. (2005) in their study,

using u = 0.82 ft/min = 15 m/h, and setting a target concentration of 0.02 mg/L in order to

minimize problems, the equation becomes:

� = −'15+.,-30.2 ( ln 0.021 � = 0.96m = 3.15ft

This is the minimum depth required for the bioreactor to be able to remove the

manganese down to the target level. However, given that the constants used were not

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specific to the media being used and that they will have to be adjusted when the pilot

scale system is built, a depth of 12 feet of gravel with a 4 mm average diameter will be

used for the design. This will also facilitate the construction of the bioreactors and insure

a good contact time between the water and the microorganisms.

The 4mm gravel layer will be supported on a 2 feet thick layer of gravel with an average

diameter of 6 mm. The head loss through each layer of the filter can be estimated using

the Kozeny equation (Viessman et al., 2008):

ℎ3 = 45(1 − 7)!9:!;7�<!

The grains used are going to be assumed to be semi-spherical with an S shape factor of

6.5, the J constant will be assumed to be 7 since the flow will not be in the laminar flow

region and it can be assumed to be closer to that observed in that of unidirectional fiber

arrays (Chen and Papathanasiou, 2006), the water temperature will be assumed to be

held around 15 °C, so the kinematic viscosity v will be assumed to be 1.139 X 10-6 m2/s,

the porosity was defined earlier to be 50%, the approach velocity V is 4.17 x 10-3 m/s.

For effects of this estimate, the two layers will be defined with average diameters of 4

and 6 mm respectively. With this numbers, the head loss through the clean bioreactors

is calculated as 0.23 feet. It is expected to backwash the bioreactor when the pressure

drop reaches between 10 and 12 feet, however, given the large diameter of the

substrate used and the low head loss expected in the system, backwashing will be

considered unnecessary for the bioreactor except as a measure to control biofilm

thickness.

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Table 2 – Summary of bioreactor specifications

Effective surface area: 232.1 ft2

Porosity: 50%

Total surface area: 464.2 ft2

Minimum filter depth: 3.15 ft.

Bioreactors: 4

Diameter per bioreactor: 12 ft

Filtration rate: 0.82 ft/min

Filter depth (4 mm gravel) 12 ft.

Supporting layer (6 mm gravel) 2 ft.

Head loss through bioreactor: 0.23 ft.

Active microorganisms: Siderocapsa

A peristaltic pump will be connected near the top of the bioreactor in order to insure that

the Dissolve Oxygen (DO) of the water passing through the bioreactor is kept high to

keep aerobic conditions throughout the process.

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Figure 6– Sketch of proposed full-scale bioreactor

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6.3 Intermediate filtration stage

The intermediate filtration stage aims to minimize the amount of biofouling in the

ultrafiltration membranes. Its main objective is to retain microorganisms migrating from

the bioreactor. This stage is particularly important in this system given the high flow rate

of the bioreactor.

There is no available information on the rate at which microorganisms are expected to

migrate from the bioreactor to subsequent stages. However, it is known that most

bacteria are over 5 microns in size, so this stage will be planned with cartridge filters

rated at 2 microns. It is expected that these cartridges will retain most of the biological

residue that passes from the bioreactor in the effluent. Several manufacturers of

industrial equipment produce cartridges for use in the food, beverage, pharmaceutical,

and oil industries among others. Given that this system will be used to produce drinking

water, cartridges normally used for the production of bottled water and drinks will be

used. Most commercially available cartridge filters from different manufacturers have

similar characteristics. In fact, in many cases a filter cartridge manufacturer will produce

cartridge filters that can be used in the vessels of other manufacturers. For practical

purposes, it will be assumed that Cuno Betapure cartridges will be used for this design.

However, FSI and GAF, among others, produce equivalent cartridges and vessels that

could be used instead.

From the technical information available from the manufacturer (Cuno, 2011), the

specific pressure drop per 10” cartridge length for a 2 micron rating would be 0.87

psi/gpm/cps. To calculate the initial pressure drop for the system, the following formula is

provided by Cuno (2011):

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�3=>�∆@@A� = (BC�>3ADA�=�;@�)(9�AECA��DE@A)(A@=E���E@$=AA�$=<$C@)(#C�=G��5>3=��A��;3=3=�;�ℎE>$�$�<;=A��ℎC�A��;)

By setting the clean differential pressure target to be between 5 and 10 psi and

rearranging this equation, it is possible to find the number of equivalent single length

cartridges in the housing:

HG��5>3=���>$�$�<;=A = (1389;@�)(1E@A)(0.87@A�/;@�/E@A)5@A� = 242

HG��5>3=���>$�$�<;=A = (1389;@�)(1E@A)(0.87@A�/;@�/E@A)10@A� = 121

The viscosity in cps is assumed to be 1, since this is the approximate value for water at

20 °C (68 °F) (Viessman et al., 2008).

Using a double open end cartridge configuration and the available information on

standard filter housings, two units with a capacity of 18 forty inch filters each one will be

chosen. These units have a diameter of 14 inches each one and can each handle the

flow coming from 5 bioreactors. Even though it would be viable to have only one unit

with 36 filters to handle all the flow, it is considered prudent to have two units in case

there are problems in the system that require one of the filtration units to be shut down. It

will also be helpful for routine maintenance so the system does not have to be shut down

completely. With these specifications, the new initial pressure drop can be calculated as:

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35

�3=>�∆@@A� = (1389;@�)(1E@A)(0.87@A�/;@�/E@A)(144) = 8.4@A�

The head loss in feet through the intermediate filtration stage would thus be 19.4 ft. The

maximum head loss recommended by the manufacturer is 115 ft (50 psi) at 86 °F (Cuno,

2011). Pump calculations for the system will need to consider that the filters will be

changed when they reach a maximum head loss of around 60 feet. Manufacturers of

these type of filter normally do not recommend backwashing them in order to avoid

compromising the pore size and due to their low cost, so it will be assumed that they will

not be backwashed but changed when they get clogged. However, if pilot-scale testing

shows excessive clogging due to the characteristics of the source water or of a high rate

of biofouling, it might be necessary to evaluate how they perform with backwashing, and

also how many times they could be backwashed without damaging the media.

Table 3 – Summary of intermediate filtration stage specifications

Filtration Vessels: 2

Vessel diameter: 14 inches

Filters per vessel: 18

Filter length: 40 inches

Filter rating: 2 microns

Clean ∆ p 19.4 ft.

Maximum head loss: 60 ft.

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Figure 7– Diagram of filtration vessel (based on Cuno Betapure vessel dimensions)

6.4 Ultrafiltration (membrane filtration) stage

There are several manufacturers of membranes suitable for treating water. However,

given that the characteristics of the membranes vary widely between manufacturers, it is

imperative to choose a specific type of membrane for purposes of designing the system.

The membranes chosen for this system are the Toray HFU series ultrafiltration

membranes with a rating of 150,000 Daltons. The module model used will be the HFU-

2020 with a surface area of 775 ft2 and a design flux of 2.6 to 8 m3/hr (92 to 282 ft3/hr).

They are 7 feet in length and are composed of PVDF hollow fiber membranes contained

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in a PVC casing (Toray Industries Inc., 2011). These membranes will be used in dead-

end direct filtration configuration.

Figure 8– Dead-end direct filtration mode of membrane modules

The flux specified for the design needs to balance the high operating costs of using a

high flux with the high capital expense of using a low flux and thus more membranes.

For this design, since it is a small facility, a design flux of 140 ft3/hr (25,135 gpd) will be

chosen. Given that these membranes are used in a dead end configuration, the recovery

rate is expected to be close to 90%. However, a conservative estimate of 80% will be

used for the design. The actual total output of the system will thus be 1.6 mgd instead of

2 mgd. This could be addressed by increasing the capacity of the previous stages, but

for the purposes of this thesis will not be modified. The pilot scale system will provide

more accurate data to determine the recovery rate of the system. With the chosen

parameters, the amount of membrane modules needed would be:

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2,000,000;>3/<>D25,135 ;>3<>D /�C<�3= = 79.57�C<�3=A ≅ 80�C<�3=A

Table 4 – Summary of membrane filtration stage specifications

Membrane type: Toray HFU-2020

Rating: 150,000 Daltons

Surface Area per module: 775 ft2

Membrane Material: PVDF

Casing Material: PVC

Filtration Modules: 80

Flux per module: 140 ft3/hr

Incoming flow: 2 mgd

Recovery Rate: 80%

Permeate: 1.6 mgd

Filtration mode: Constant flow

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7 Designing a pilot scale test system

7.1 Pilot-scale Bioreactor

Given that the main goal of the pilot scale test will be to analyze the manganese removal

capability of the system, it will not be considered imperative to conserve strict hydraulic

scaling. In fact, the gravel size for the bioreactor and pore sizes for the intermediate

filtration stage and ultrafiltration modules will be kept constant. The flow rate used for the

pilot scale testing will correspond to around 1% of the flow of the full-scale system. The

full scale system will be operated at 2 mgd, so the pilot scale system will operate at

20,000 gal/day, or equivalently 14 gpm.

The pilot-scale bioreactor stage will consist of four 15-inch internal diameter bioreactors.

The bioreactors will preferably be constructed of acrylic in order to facilitate visual

monitoring of the media. If acrylic tubes in this diameter are not available, PVC tubes

could be used instead. It is assumed that the piping used to build the bioreactors will be

half-inch thick, so the nominal diameter of the piping will be 16 inches. Table 5

summarizes the calculations and assumptions for the construction of the pilot-scale

bioreactors.

Given that the equation for the minimum depth of the bioreactor is not going to vary from

that of the full scale model, it is known that the minimum depth shall be around 3 feet. In

order to facilitate the construction of the pilot system, the length of the columns used will

be half of those in the full-scale model. Each of the four bioreactors will be loaded with a

different type of media for a first run aimed at detecting the optimal type of media for the

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hydraulic conditions of the system. The four types of media to be tested will be: 1) 4 mm

gravel supported on 1 foot of 6 mm gravel; 2) 0.5 to 2 mm sand with the same particle

size distribution as that used by Stembal et al. (2005); 3) crushed limestone with an

average diameter of 5 mm.; 4) crushed dolomite with an average diameter of 5 mm. All

of the bioreactors will be seeded with sludge known to contain Siderocapsa and left to

mature for at least 8 weeks. It will be assumed for now, that the porosity of all the

substrates will be close to 50%. However, this will be reevaluated upon testing and the

diameter of the particles will be adjusted as necessary to try to maintain similar hydraulic

conditions across all bioreactors.

Based on the results of the first run, a second run would be performed with the media

chosen from the previous test but seeding each bioreactor with a different type of

microorganism. The microorganisms to be tested are: 1) Siderocapsa, 2) Leptothrix

Discophora, 3) Sludge from a nearby wastewater treatment plant with unknown microbial

composition, 4) Not seeded, control bioreactor to observe if microorganisms naturally

occurring in the source water can catalyze the oxidation of manganese. As with the

previous run, the filters will be left to mature for at least 8 weeks.

The pressure loss across the bioreactor will be assumed to be half of that calculated for

the full-scale system, which equates to approximately 0.12 feet of clean filter head loss.

This head loss only takes into account the media itself, but the supporting metal grid for

the gravel and the friction against the walls of the bioreactor will add head loss so the

initial head loss will be adjusted to 0.6 ft. However, it is known that for the test run with

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different types of media, it is likely that each bioreactor will have a different head loss

depending on the porosity and hydraulic characteristics of the media.

Table 5 – Summary of pilot-scale bioreactor specifications

Flow rate: 1.87 ft3/min

Velocity in bioreactor: 0.80 ft/min

Area of empty bioreactor: 2.34 ft2

Porosity: 50%

Area of bioreactor with media: 4.68 ft2

Radius of single bioreactor: 1.22 ft

Number of bioreactors: 4

Area per small bioreactor: 1.17 ft2

Radius of small bioreactors: 0.61 ft

Diameter of small bioreactors: 14.64 in

Standard size available: 16 in

Inner diameter of std size: 15 in

New bioreactor area: 1.23 ft2

Adjusted velocity: 0.76 ft/min

Initial Head loss: 0.6 ft

The bioreactors will be equipped with sampling ports spaced 1 foot apart along the

height to allow for sampling of water passing through the bioreactor.

7.2 Pilot-scale secondary filtration

Using the same cartridge filters selected in the full-scale plant (Cuno Betapure), the size

of the secondary filtration stage can be calculated. The first step is to determine the

amount of filters to maintain the pressure between 5 and 10 psi:

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HG��5>3=���>$�$�<;=A = (14;@�)(1E@A)(0.87@A�/;@�/E@A)5@A� = 2.4

HG��5>3=���>$�$�<;=A = (14;@�)(1E@A)(0.87@A�/;@�/E@A)10@A� = 1.2

From the calculations above, it can be seen that 2 10” cartridges will need to be used for

the pilot-scale system. The initial pressure loss for the secondary filtration stage can thus

be calculated as:

�3=>�∆@@A� = (14;@�)(1E@A)(0.87@A�/;@�/E@A)(2) = 6.09@A�

The initial pressure loss for the pilot scale system will thus be slightly lower than that of

the full-scale system. However, given that the system is evaluating primarily the capacity

of the system to remove manganese; this will have a negligible effect in the study. 6 psi

is equivalent to approximately 14 feet of head loss. Given that in the original system the

filters will be changed when the differential pressure reaches 60 feet of head loss, it can

be assumed that this pilot scale system will be backwashed at 55 feet of head loss to

account for the difference in initial head loss.

In order to maintain similarity with the full-scale system, 2 separate 10-inch filters will be

used. Given the reduced scale of the pilot-scale system, the filter housing will be in-line

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instead of with perpendicular inlet and outlet ports as the full-scale system. However,

this should not affect the performance of the system.

Table 6 – Summary of pilot-scale intermediate filtration stage specifications

Filtration Vessels: 2

Vessel diameter: 3 inches

Filters per vessel: 1

Filter length: 10 inches

Filter rating: 2 microns

Clean ∆ p 14.05 ft.

Maximum head loss: 55 ft.

7.3 Pilot-scale membrane filtration

Using the same design flux of 140 ft3/hr (25,135 gpd) chosen for the full-scale system,

the computation for the amount of modules needed to handle the pilot-scale flow of

20,000 gpd would be:

20,000;>3/<>D25,135 ;>3<>D /�C<�3= = 0.8�C<�3=

Since a whole module is to be used, the design flux would be adjusted to 20,000 gal/day

per module, or equivalently 111 ft3/hr, which is still within the range stated by the

manufacturer. Assuming an 80% recovery rate as in the full-scale system, the filtrate

flow will be 16,000 gallons per day (11 gpm).

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The initial pressure loss for the system is assumed to be close to 14 psi (32 ft) since this

is the initial clean pressure flow estimated by the manufacturer in its specifications.

Table 7 – Summary of pilot-scale membrane filtration stage

Membrane type: Toray HFU-2020

Rating: 150,000 Daltons

Surface Area per module: 775 ft2

Membrane Material: PVDF

Casing Material: PVC

Filtration Modules: 1

Flux per module: 111 ft3/hr

Incoming flow: 20,000 gal/d

Recovery Rate: 80%

Permeate: 16,000 gal/d

Filtration mode: Constant flow

Assumed initial pressure loss: 32 ft

7.4 Minor equipment and pump sizing

Apart from the three major components of the system (bioreactor, secondary filtration,

membrane filtration), other minor components such as a solution feed pump, solution

preparation feed tank, static mixer, peristaltic air pump, pump for the membrane filtration

stage, and backwashing pumps will be needed. Figure 4 shows the layout of the pilot-

scale system with all major and minor components to be used. The side and plant view

can be seen at scale in Appendix II.

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Figure 9– Side view of pilot-scale system

For the pilot-scale system it will be assumed that only one pump is to be used for the

whole system. However, it must be considered that depending on how the system

performs, it could be necessary to add a storage tank after the bioreactor and secondary

filtration stages and an additional pump before the ultrafiltration stage. Given that at this

time it is unknown if the source water will be coming from ground water, surface water or

an elevated reservoir, calculations for the pump will not be provided. However, once the

location of the pilot plant is identified, this should be straightforward given that the

pressure loss through the system has been calculated.

It can be seen from the diagram that the system will include 3 ball valves to isolate

sections of the system for backwashing. It must be noted that the secondary filtration

stage is assumed not to be backwashed since it is assumed that these cartridge filters

are disposable and the cost of down time and backwashing will exceed the cost of

replacing them during actual operation. However, if considered necessary during the

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pilot testing, a simple modification of the piping would allow backwashing these filtration

elements.

In order to maintain aerobic conditions in the system, a peristaltic pump with a capacity

of 0.5 mL/min will be feeding air into the system before the bioreactors. This should be

enough to maintain saturated dissolved oxygen conditions within the pilot-scale system.

A one-way valve will be installed so water does not feed back into the air pump.

A rough calculation of the pressure loss through the pipes using the Hazen-Williams

equation with a friction coefficient of 140, gives approximately 6 feet of head loss. With

this, the total for the clean system would be approximately 53 feet of head loss. This

however does not take into account the pressure loss or gain from the source to the

pump. A summary of the expected initial pressure loss is shown in Table 8.

Table 8 – Estimated initial head loss of pilot-scale system

COMPONENT hL Unit

Bioreactor 0.6 ft

Sec filters 14 ft

Membranes 32 ft

Pipes and minor components 6.3 ft

TOTAL HEAD LOSS 52.9 ft

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7.5 Sampling

In order to evaluate the performance of the system, it will be necessary to take samples

of the water passing through the system. Aside from dissolved manganese, other factors

that affect the oxidation of manganese such as dissolved oxygen and pH will be

evaluated. Samples will be taken before and after before each of the three treatment

stages (bioreactor, secondary filtration, membranes) as well as from the bioreactors from

sampling ports spaced a foot apart along their lengths.

7.5.1 Parameters

The parameters to be measured and range of possible values are summarized in Table

9 below.

Table 9 – Parameters to be measured

PARAMETER Max Min

Dissolved manganese 2.0 mg/L 0.0 mg/L

Dissolved iron 10.0 mg/L 0.0 mg/L

Dissolved oxygen 8.0 mg/L 1.0 mg/L

Water temperature 50 °C 0 °C

Absolute pressure 300 psi 14 psi

pH 14 0

Turbidity 9.99 NTU 0.00 NTU

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7.5.2 Sampling interval and methods

Absolute pressure will be monitored daily using permanently installed gages before and

after each stage. There will thus be 3 pressure gages installed. This will give an

indication of the total pressure within the system and of the head loss at each stage of

the system to allow backwashing in a timely manner.

Full water sampling at all sampling ports will be carried out once a week. However,

during startup of the system, daily sampling will be conducted at the top, center, and

bottom of each bioreactor in order to monitor if the system is maturing as expected.

Once a steady state is reached, only weekly samplings will be conducted.

pH, temperature, DO and turbidity will be measured immediately as the sample is taken

from the system. Also, the influent and effluent at each stage of the system will be

sampled and analyzed. A calibrated digital pH meter will be used to take both pH and

temperature readings at once. Several manufacturers of laboratory equipment offer

equipment with these characteristics. Dissolved oxygen will be measured using a

suitable DO meter and probe, and turbidity using a suitable calibrated turbidity meter.

Dissolved manganese will be measured using the ASTM method D858-07. All water

samples will be collected in acid washed bottles and prepared according to the

requirements of the method. Dissolved iron will be measured using the ASTM method

D1068 – 10 for measuring iron in water.

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8 Discussion

Several design alternatives were pondered during the course of this research. From

double core membrane filters to ultrasonic disinfection, there is a wide range of

possibilities that could allow biological removal of manganese to be coupled with

membranes while maintaining a small footprint. However, most of these innovations are

only in the theoretical stage or in the first stages of development.

In the case of a double core membrane module for example, it was considered to

propose a central core of spiral wound membrane made of acetate or PES and an outer

core made of anthracite or silicic gravel for the microorganisms to attach. However, there

are many foreseeable problems with such a design. For example, controlling the

migration of microorganism to the inner membrane layer and controlling their growth to

avoid biofouling could be difficult. Another problem could be that changes in temperature

that might arise during field conditions could affect each core and in turn affect the

performance of the module (e.g. gaps between layers due to difference in expansion and

contraction rates). The added resistance to flow from the second layer might require the

system to operate under very high pressures that could affect both the capital and

operational costs. Finally, since performing actual laboratory testing is out of the scope

of this thesis, the answers to these questions would be based on assumptions given that

there is no literature mentioning any attempt to do something similar.

As for using ultrasonic disinfection as an intermediate stage between the bioreactor and

the membrane filtration stage to avoid biofouling, this could allow maintaining a small

footprint. However, ultrasonic disinfection is still under development and in the very early

stages of development. It is unknown if the system would be robust enough to provide

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the amount of protection required to avoid biofouling. There is simply not enough

information to proceed with a theoretical design of such system.

Another option that was considered was attempting to isolate microorganisms that have

been identified to cause manganese-related corrosion in piping under pressure, and

designing a system that would promote the growth of this biofilm in metallic pipes.

Several problems were foreseen with such a system so it was discarded. For one part, it

would be difficult to control the amount on manganese being deposited in the pipes. For

another, given the high velocity in the pipes and the high pressure to which they are

subjected during system startup, it would be likely to have some of the deposited

manganese migrate with every system shut down for maintenance. Finally, as the pipes

corrode, they would tend to fail and to clog, making it very difficult to predict when to

change them and risking structural failure.

The design components chosen are proven and tried methods that have not been used

in conjunction before. The proposed system, however, uses large diameter gravel as

the media instead of sand or other materials because the goal of the bioreactor is not to

retain a large number of particles so much as to help the manganese precipitate. The

bioreactor is based on that used by Stembal et al. (2005) in their study, the intermediate

filtration stage has been successfully used in the food and drink industry for years, and

the membrane filtration systems have become ubiquitous in the past few years for

drinking water treatment. The intermediate filtration stage should be robust enough to

retain most of the precipitated manganese that passes from the bioreactor stage and

most of the biological material that could potentially foul the membranes.

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It is unknown how changing media and flow conditions within the bioreactor would affect

the migration of microorganisms, but several studies have successfully used limestone

and other coarse material in bioreactors for removing manganese. The smaller pore size

available with the sand media could aid in holding the bacteria in place and the larger

surface area might allow a smaller bioreactor by providing more places for

microorganisms to attach. If laboratory testing is performed in the future, this is a

variable that is most certainly valuable to explore further. In fact, having a media surface

that also provides a source of carbon could provide added benefits like some of the

studies mentioned in the literature review suggest.

The array of bioreactors could have any number of units. Four units were chosen to

keep a small enough diameter to allow for water to be distributed evenly over the surface

and for ease in constructing or purchasing the tanks. However, a more thorough analysis

would be required both in terms of balancing costs and of the optimal relationship

between diameter and depth to allow manganese to be removed adequately by the

bioreactor. Another point of concern is that the head loss through the bioreactor is based

on several gross assumptions such as the constants used, which would need to be

verified through experimental procedures.

It is unknown if the Siderocapsa bacteria will be available or even present in samples of

wastewater sludge available in proximity to a potential test site. From the literature

review it was not possible to determine if Siderocapsa has been isolated and cultured

yet or if it will be necessary to find an adequate wastewater sludge source that contains

this specific type of bacteria.

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As for the intermediate filtration stage, it is unknown if it will be effective in preventing the

biofouling of the ultrafiltration membranes. To optimize the operation of the system, it

would be ideal to coordinate backwashing of the membranes, bioreactors and cartridge

filters replacement simultaneously. However, there is not enough information at the

present time to know if this is feasible. Also, it might be necessary to have completely

separate backwashing systems for the bioreactor and the membranes to avoid cross

contamination and to avoid excessive migration of microorganisms to the membranes

during the backwashing cycles. The theory behind using an intermediate filtration stage

is that this cartridge filters cost a fraction of what the membrane modules cost, so they

will reduce operational costs by protecting the ultrafiltration membranes. Only laboratory

and pilot testing will allow determining the ultimate benefits of this filtration stage.

Finally, the ultrafiltration stage will be affected by the intake water quality and by the

effectiveness of the previous stages. Thus, it is unknown if the actual operating

conditions will resemble the theoretical performance on which the proposed system is

based.

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9 Conclusions

A new design for a biologically-catalyzed manganese removal system with membrane

filtration was proposed. The new design is based on existing technology and on previous

studies published by other researchers. The bioreactor itself is based on a modified and

adjusted version of the one proposed by Stembal et al. (2005), but pilot-scale testing will

allow further improving the design by trying different substrates for the biofilm to form

and different types of microorganisms. For example, it might be possible that either

limestone or dolomite might cause less compaction in the long term and still allow

enough porosity to keep a high flow rate through the bioreactor.

The proposed design has a high probability of success if built as laid out in this thesis.

However the pilot-scale plant would allow changing and analyzing how varying

parameters such as temperature, pH, flow rate, and substrate; to name a few; can affect

the performance of the system. It is possible that during pilot-scale testing, a new

substrate could be found to work better for the selected microorganisms or that an even

higher flow rate could be tolerated thus allowing making the bioreactors smaller.

It was assumed that it would be possible to achieve a porosity of 50% with carefully

selected and sorted media. While this is believed to be possible under controlled

conditions, it will be necessary to monitor the process carefully to determine how the

porosity and flow vary as the system reaches steady state and manganese oxides start

to be deposited on the substrate. This will also be crucial in order to determine the

backwashing rate necessary to keep a balance between biofilm thickness and downtime

for backwashing.

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By using a proven and tried technology from the beverage industry (cartridge filters rated

at 2 microns), it is believed that the system will be capable of operating cost-efficiently

and effectively for the removal of manganese. However, it remains to be seen if the 2-

micron rated cartridges will prevent both biological contamination and manganese-

induced fouling in the membrane ultrafiltration stage.

It is believed that the proposed system is an effective solution to the problem of

removing manganese without the use of chemicals while keeping a small footprint.

When the proposed pilot-scale system is built, the system can be refined further and an

even more robust system is expected to emerge.

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10 Further Research

The physiological aspects of biologically-mediated removal of manganese still remain to

be completely understood, as well as the interaction between different microorganic

populations that can contribute simultaneously to the removal of manganese. In regards

to Siderocapsa, which is used in this study, it remains to be seen if it can be isolated and

cultured to allow seeding a bioreactor.

Standardized constants for the depth equation to size a bioreactor could be researched

for different types of substrate. This could be achieved by running a bioreactor with all

parameters constant and varying the type of media used. A formula using porosity

and/or density could be developed to allow for media with different conditions to be used

in modeling a bioreactor.

A mathematical model for migration of microorganisms in relation to flow rate and media

characteristics could be developed in order to aid in the design of future bioreactors.

Also, different filtration devices, configurations and materials can be tested for the

intermediate filtration stage to minimize biofouling of the membranes. Backwashing rates

to maintain optimal microbial balance and biofilm thickness in the bioreactor remains to

be investigated. The influence of grain size in the media and how it relates to bioreactor

efficacy are still not fully understood and warrant further research.

Many unknowns remain to be elucidated regarding the use of biologically mediated

oxidation of manganese with membrane filtration technology. However, as more data is

generated and the bioreactors refined, the potential for full-scale application increases.

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Viessman, W.J., M.J. Hammer, E.M. Perez, and P.A. Chadik, 2008. Water Supply and Pollution Control. Prentice Hall.

Yang, Q., H. Shang, and J. Wang, 2009. Treatment of Municipal Wastewater by Membrane Bioreactor: a Pilot Study. International Journal of Environment and Pollution 38:280-288.

Yoo, K., K. Sasaki, N. Hiroyoshi, M. Tsunekawa, and T. Hirajima, 2004. The Effect of Mn2+ Concentration on Mn Removal by a Sulfate Reducing Bacteria Bioreactor. Materials Transactions 45:2429-2434.

Zhu, I., T. Getting, and D. Bruce, 2010. Review of Biologically Active Filters in Drinking Water Applications. Journal of the American Water Works Association 102:67-77.

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APPENDIX I – Characteristics of bioreactors in reviewed literature

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Table 10 – Characteristics of some bioreactors in the literature

Authors of the

study

Type of

bioreactor

Maturation

Time

Source of

microorganisms

Water

temp pH

Water

treatment

rate

Initial Mn

C (mg/L)

Mn

Removal

%

D.O.

(mg/L)

Redox

Potential (V)

Backwash rate

and time

Tekerlekopoulos et.

Al

Trickling

filter with

silicic gravel

5 months

Seeded with

sample from

wastewater plant

25 ± 1 ° C Inlet: 7 – 7.3

Outlet: 8 – 8.3

500 to

2000 ml /

min

0.6 to 2 100 to

54% 7 to 8 0.3 to 0.5

Air: 10 L/min for

30 min.

Water: 12 L/min

for 30 min.

Katsoyannis and

Zoubolis

Up-flow

filtration

columns

with PE

beads

8 months

Leptothrix

ochracea from

sludge

N/A 7.2 7 m / h 0.4 95% 3.8 0.34

Every 3 days with

3 L of treated

water.

Mariner et al. Down-flow

bioreactor N/A

Coated stones

taken from

stream – Phoma

herbarum and

Pleosporales

identified as main

catalysts

5-30 ° C 3.5 - 6 N/A N/A N/A N/A N/A N/A

Qin et al.

Down-flow

bioreactor.

One with

manganese

sand and

one with

siliceous

sand

7 days

Filter sand from

old sand filter of

existing plant –

Leptothrix

identified

N/A 7.2 3.9 L/h 1.5 to 2.25 60% 5 N/A 5 L/m2 s for 8

minutes

Hope and Bott Down flow

sand filter 3 months

Leptothrix

discophora SP-6 26 ° C 7.3 N/A 4.7 97% 8.2 N/A N/A

Burger et al. Pressure

sand filters 6 weeks

Leptothrix

discophora SP-6

and indigenous

biofilm from

microorganisms

in the source

water.

N/A 6.5 – 7.5 1 mL/min 0.5 90% N/A 481 N/A

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Thornton Limestone-

filled tanks 3 weeks

Indigenous

biofilm from

existing ponds

N/A 6.43-7.55 3.8 L/min 3.15 88% 6.9 – 7.1 N/A N/A

Johnson and

Younger

Dolomite

substrate

with a

bentonite

and MnO2

basal layer.

8 weeks

Indigenous

biofilm – not

attempted to

identify bacteria

As low as

4 °C 7 5 mL/min 20 97% N/A N/A N/A

Stembal et al. Quartz sand

0.5 to 2 mm 3 to 4 weeks

Siderocapsa from

operating plant

11.2 – 14.6

°C 7 – 8.09 22 m/h .224 – 1.06 99% N/A N/A N/A

Pacini et al. Gravel 10-

15 mm 8 weeks

Galionella –

biofilm allowed to

develop

spontaneously

N/A 7.1 12 m/h 1.35 95% 8.1 N/A 50 m/h for 10

minutes

Suzuki et al.

Hybrid MF

membranes

with PAC

and sludge

90 days

Sludge from

wastewater

treatment plant –

leptothrix

ochracea and

siderocapsa

18 °C

(average) N/A 0.15 m/d 0.31 69% 3.09 N/A

Backwash and air

scrubbing every

30 mins with 40 to

80% of volume of

treated water

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62

APPENDIX II – Scaled drawings of pilot scale system

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2 cartridge

filters in parallel

4 bioreactors

in parallel.

6 ft - media

1 ft - supporting layer

1 membrane

module (7 ft)Pump

Backwash

Pump

Water inlet

Air

pump

Filtrate

Concentrate/reject

Ball

valve

Ball valve

Ball

valve

Backwash

Outlet

Backwash

Inlet

Check

Valve

8'-4"

9'-10"

5'-6" 4'-2"

1" pipe

1/2" pipe

1/2" pipe

1" pipe

Pressure

Gauges

Pressure

Gauges

Pressure

Gauges

Pressure

Gauges

Sampling ports

Sampling

valve

Sampling

valve

Design of a biologically-mediated

manganese removal system with

ultrafiltration membranes

Figure 5

Pilot-scale system

SIDE VIEW

Prepared by:

Carlos A. Correa

SCALE 1/4" = 1'

0 2'4' 6'

PRODUCED BY AN AUTODESK EDUCATIONAL PRODUCTP

RO

DU

CE

D B

Y A

N A

UT

OD

ES

K E

DU

CA

TIO

NA

L P

RO

DU

CT

PRODUCED BY AN AUTODESK EDUCATIONAL PRODUCTP

RO

DU

CE

D B

Y A

N A

UT

OD

ES

K E

DU

CA

TIO

NA

L P

RO

DU

CT

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Ball

valvePump

Air pump

90° Elbow

Backwash

Outlet

1'

1'

Flow Meters

(at outlet)

Bioreactors

1" Pipe

90° Elbows

1/2" Pipe

1" cross

1" to 1/2" reducers

1" tee

Ball valve

Backwash Outlet

Cartridge Filters

Ball valve

Sampling

valve

Backwash

Pump

Membrane

module (7 ft)

Design of a biologically-mediated

manganese removal system with

ultrafiltration membranes

Figure 6

Pilot-scale system

PLAN VIEW

Prepared by:

Carlos A. Correa

SCALE 1/4" = 1'

0 2'4' 6'

PRODUCED BY AN AUTODESK EDUCATIONAL PRODUCTP

RO

DU

CE

D B

Y A

N A

UT

OD

ES

K E

DU

CA

TIO

NA

L P

RO

DU

CT

PRODUCED BY AN AUTODESK EDUCATIONAL PRODUCTP

RO

DU

CE

D B

Y A

N A

UT

OD

ES

K E

DU

CA

TIO

NA

L P

RO

DU

CT