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Subsurface intake systems: Green choice for improving feed water quality at SWRO desalination plants, Jeddah, Saudi Arabia Abdullah H.A. Dehwah a , Thomas M. Missimer b, * a Water Desalination and Reuse Center, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabia b U. A. Whitaker College of Engineering, Florida Gulf Coast University,10501 FGCU Boulevard South, Fort Myers, FL, 33965-6565, United States article info Article history: Received 16 July 2015 Received in revised form 3 October 2015 Accepted 8 October 2015 Available online xxx Keywords: Seawater reverse osmosis Membrane fouling/biofouling Subsurface intakes Well system Transparent exopolymer particles abstract An investigation of three seawater reverse osmosis facilities located along the shoreline of the Red Sea of Saudi Arabia that use well intake systems showed that the pumping-induced ow of raw seawater through a coastal aquifer signicantly improves feed water quality. A comparison between the surface seawater and the discharge from the wells shows that turbidity, algae, bacteria, total organic carbon, most fractions of natural organic matter (NOM), and particulate and colloidal transparent exopolymer particles (TEP) have signicant reductions in concentration. Nearly all of the algae, up to 99% of the bacteria, between 84 and 100% of the biopolymer fraction of NOM, and a high percentage of the TEP were removed during transport. The data suggest that the owpath length and hydraulic retention time in the aquifer play the most important roles in removal of the organic matter. Since the collective concentra- tions of bacteria, biopolymers, and TEP in the intake seawater play important roles in the biofouling of SWRO membranes, the observed reductions suggest that the desalination facilities that use well intakes systems will have a potentially lower fouling rate compared to open-ocean intake systems. Furthermore, well intake system intakes also reduce the need for chemical usage during complex pretreatment sys- tems required for operation of SWRO facilities using open-ocean intakes and reduce environmental impacts. © 2015 Elsevier Ltd. All rights reserved. 1. Introduction The use of membrane technology in the desalination industry has increased rapidly during the last 20 years due to its lower cost and energy consumption in comparison with conventional distil- lation processes (Ghaffour et al., 2013). Currently, membrane technology is used in 60% of seawater desalination processes around the world (GWI, 2012). The major persistent problem that most of seawater reverse osmosis (SWRO) desalination facilities face is membrane biofouling. Membrane biofouling causes the reduction of membrane life-expectancy, reduction of operational efciency, and increases operation and maintenance costs (Flemming, 1997; Vrouwenvelder et al., 1998). In some cases, membrane biofouling can lead to temporary plant shutdowns. As a means of reducing the effect of this problem, pretreatment pro- cesses are installed to improve the quality of raw water before it enters the SWRO process. Although expensive and extensive treatment processes using chemicals are operated for this purpose, frequent membrane cleaning is still commonly necessary (Missimer et al., 2010). Therefore, it is important to supply high feed water quality to the desalination facility at the initial intake stage in order to reduce the complexity of the pretreatment components. One way to achieve that is by implementing the appropriate type of intake. Conventional open-ocean intakes are used by most SWRO desalination facilities for supply of unlimited feed water capacity. Generally, this type of intake provides poor and inconsistent seawater quality based on the seasonal changes, especially during harmful algal bloom events which can cause temporary plant shutdowns (Berktay, 2011; Villacorte et al., 2015). In addition, the operation of surface intake systems makes the desalination plant more vulnerable to environmental impacts, such as entrainment and impingement of sh and other marine organisms (Lattemann and Hopner, 2008; WateReuse Association, 2011). In general, extensive pretreatment systems have to be installed to improve the poor quality of the raw water supplied by the open-ocean intake system to avoid membrane biofouling, particularly removal of * Corresponding author. E-mail address: [email protected] (T.M. Missimer). Contents lists available at ScienceDirect Water Research journal homepage: www.elsevier.com/locate/watres http://dx.doi.org/10.1016/j.watres.2015.10.011 0043-1354/© 2015 Elsevier Ltd. All rights reserved. Water Research 88 (2016) 216e224

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lable at ScienceDirect

Water Research 88 (2016) 216e224

Contents lists avai

Water Research

journal homepage: www.elsevier .com/locate/watres

Subsurface intake systems: Green choice for improving feed waterquality at SWRO desalination plants, Jeddah, Saudi Arabia

Abdullah H.A. Dehwah a, Thomas M. Missimer b, *

a Water Desalination and Reuse Center, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabiab U. A. Whitaker College of Engineering, Florida Gulf Coast University, 10501 FGCU Boulevard South, Fort Myers, FL, 33965-6565, United States

a r t i c l e i n f o

Article history:Received 16 July 2015Received in revised form3 October 2015Accepted 8 October 2015Available online xxx

Keywords:Seawater reverse osmosisMembrane fouling/biofoulingSubsurface intakesWell systemTransparent exopolymer particles

* Corresponding author.E-mail address: [email protected] (T.M. Missim

http://dx.doi.org/10.1016/j.watres.2015.10.0110043-1354/© 2015 Elsevier Ltd. All rights reserved.

a b s t r a c t

An investigation of three seawater reverse osmosis facilities located along the shoreline of the Red Sea ofSaudi Arabia that use well intake systems showed that the pumping-induced flow of raw seawaterthrough a coastal aquifer significantly improves feed water quality. A comparison between the surfaceseawater and the discharge from the wells shows that turbidity, algae, bacteria, total organic carbon,most fractions of natural organic matter (NOM), and particulate and colloidal transparent exopolymerparticles (TEP) have significant reductions in concentration. Nearly all of the algae, up to 99% of thebacteria, between 84 and 100% of the biopolymer fraction of NOM, and a high percentage of the TEP wereremoved during transport. The data suggest that the flowpath length and hydraulic retention time in theaquifer play the most important roles in removal of the organic matter. Since the collective concentra-tions of bacteria, biopolymers, and TEP in the intake seawater play important roles in the biofouling ofSWRO membranes, the observed reductions suggest that the desalination facilities that use well intakessystems will have a potentially lower fouling rate compared to open-ocean intake systems. Furthermore,well intake system intakes also reduce the need for chemical usage during complex pretreatment sys-tems required for operation of SWRO facilities using open-ocean intakes and reduce environmentalimpacts.

© 2015 Elsevier Ltd. All rights reserved.

1. Introduction

The use of membrane technology in the desalination industryhas increased rapidly during the last 20 years due to its lower costand energy consumption in comparison with conventional distil-lation processes (Ghaffour et al., 2013). Currently, membranetechnology is used in 60% of seawater desalination processesaround the world (GWI, 2012). The major persistent problem thatmost of seawater reverse osmosis (SWRO) desalination facilitiesface is membrane biofouling. Membrane biofouling causes thereduction of membrane life-expectancy, reduction of operationalefficiency, and increases operation and maintenance costs(Flemming, 1997; Vrouwenvelder et al., 1998). In some cases,membrane biofouling can lead to temporary plant shutdowns. As ameans of reducing the effect of this problem, pretreatment pro-cesses are installed to improve the quality of raw water before itenters the SWRO process. Although expensive and extensive

er).

treatment processes using chemicals are operated for this purpose,frequent membrane cleaning is still commonly necessary(Missimer et al., 2010). Therefore, it is important to supply high feedwater quality to the desalination facility at the initial intake stage inorder to reduce the complexity of the pretreatment components.Oneway to achieve that is by implementing the appropriate type ofintake.

Conventional open-ocean intakes are used by most SWROdesalination facilities for supply of unlimited feed water capacity.Generally, this type of intake provides poor and inconsistentseawater quality based on the seasonal changes, especially duringharmful algal bloom events which can cause temporary plantshutdowns (Berktay, 2011; Villacorte et al., 2015). In addition, theoperation of surface intake systems makes the desalination plantmore vulnerable to environmental impacts, such as entrainmentand impingement of fish and other marine organisms (Lattemannand Hopner, 2008; WateReuse Association, 2011). In general,extensive pretreatment systems have to be installed to improve thepoor quality of the raw water supplied by the open-ocean intakesystem to avoid membrane biofouling, particularly removal of

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A.H.A. Dehwah, T.M. Missimer / Water Research 88 (2016) 216e224 217

algae, bacteria, and natural organic compounds.An alternative “green” intake that can be utilized to improve the

quality of feed water delivered to a SWRO desalination facility is asubsurface intake system. This type of intake is similar in concept toriver bank filtration wherein the native geological media is used tonaturally filter the raw water before entering the treatment facility(Ray et al., 2002; Hubbs, 2005). Subsurface intakes provide physicaland biological mechanisms for filtering the feed water by strainingand biodegrading of organic matter and other particulates whilepassing through marine sediments and the seabed similar to a slowsand filter used in freshwater treatment plants (Schwartz, 2000;Laparc et al., 2007; Missimer et al., 2013; Rachman and Missimer,2014). The operation of this intake type is more environmentallyfriendly since no impingement and entrainment of marine organ-isms occurs as well as less or no chemical additives are required tobe used during the pretreatment stage (Missimer et al., 2013).

Since biofouling of SWRO membranes has been documentedalong the Red Sea coast of Saudi Arabia (Saeed et al., 2000), the keyresearch objective of this investigation is to evaluate the perfor-mance of subsurface intake systems in terms of improving the rawseawater quality with the potential of reducing the rate of mem-brane biofouling. Three SWRO desalination plants located in Jeddahcity along the Red Sea coastline of Saudi Arabia were investigated(Fig. 1). These three plants use vertical well systems as a means ofextracting the raw seawater. The aquifer systems at these sites arecomposed of either siliciclastic or carbonate sediments. Water

Fig. 1. Location of studied SWRO facilities alo

samples were collected from surface seawater and the well dis-charges for comparison. Algae, bacteria, fractions of natural organicmatter (NOM) and transparent exopolymer particle (TEP) concen-trations were measured to determine the degree of concentrationreduction by the aquifer system during flow from the sea into thewells. The results of this research will be very useful in planningand improving the design of intake and pretreatment systems forexisting and future SWRO plants.

2. Material and methods

2.1. Description of the studied SWRO plants

2.1.1. North Obhor (Site A), Jeddah, Saudi ArabiaThe North Obhor SWRO plant is located north of Jeddah city and

it has been in operation since 2001. This plant has a permeate ca-pacity of 13,350 m3/day. A total of 14 vertical wells are used toproduce a total of 33,375 m3/day of feed water required for oper-ation (Fig. 2, site A). The wells are constructed into a corallinelimestone aquifer with depths ranging between 50 and 55m. Thesewells are located inland at a distance of about 450 m from theseawater source. The age of thewells ranges from 4 to 14 years withwells 1A and 2A being 14 years, well 3A at 11 years, and well 4 at 4years. Since 2007 the membranes at this facility are cleaned lessthan once every 2 years.

ng the Red Sea coastline of Saudi Arabia.

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Fig. 2. Schematic diagram for the well intake designs at site A (top left) and site B (top right) (a), for site C (b).

A.H.A. Dehwah, T.M. Missimer / Water Research 88 (2016) 216e224218

2.1.2. Corniche (Site B), Jeddah, Saudi ArabiaThe Corniche SWRO desalination plant is located in the middle

of Jeddah city and has a total permeate capacity of 4500 m3/day.This facility requires 11,250m3/day of feed water which is extractedby a series of 5 vertical wells that are constructed into an aquiferconsisting of siliciclastic sediments (Fig. 2, site B). The total depth ofthese wells ranges from 46 to 50 m below surface. At this site, thewells are located at a distance of about 300m from the sea. The agesof the wells range from 6 to 8 years. The raw water extracted fromthis site has a secondary problem with high iron concentration,which causes challenges for the pretreatment system. The life spanof the cartridge filters used at this facility is very short due to thehigh iron concentration problemwhich is attributed to the passageof raw water through the heterogeneous siliciclastic system con-taining various natural and perhaps man-made sources of iron(buried metallic debris). Cleaning frequency of the SWRO mem-branes is every 6 month due to the occurrence of dissolved iron inthe raw water.

2.1.3. South Jeddah Corniche (Site C), Jeddah, Saudi ArabiaThe South Jeddah Corniche SWRO desalination plant is located

south of Jeddah city and has a total permeate capacity of 10,000m3/day. The intake system at this site has a feed water capacity of25,000 m3/day, which is produced from 10 vertical wells that havebeen operating for 3 years. The SWRO membrane cleaning fre-quency at this facility typically ranges from 6 months to a year. Ageochemical problem unrelated to biofouling affected operationsfor about a year in 2012.

These wells are drilled on an artificial fill peninsula constructedinto the nearshore area of the Red Sea (Fig. 2, site C). During theinitial construction of the plant, several wells were installed alongthe shoreline for raw water extraction. During the testing phase, itwas found that the salinity of the produced feed water from thesewells was significantly higher than that in the Red Sea and thewellshad low yields. The geological conditions at this site were thereason for this high salinity and limited capacity of produced water.This site was constructed into a coastal sabkha environment whichis an area where the trapped seawater evaporates causing theprecipitation of evaporite minerals and ultimately the formation ofhypersaline conditions (Dehwah et al., 2014). This sabkha

environment is in hydraulic connection with the sea which causesthe flow of hypersaline water toward the shoreline making thecoastal alluvial aquifer unfeasible for subsurface intake develop-ment. An innovative design was implemented at this site to over-come this hypersaline condition problem, in which an artificialpeninsula was constructed from the beach seaward on the innerreef hardground (no corals present). The wells were drilled usingthe artificial fill as a base. The aquifer beneath this artificialpeninsula consists of soft limestone and unlithified carbonatesediments. The offshore wells are spaced 20 m apart and range indepth from 40 to 50 m.

2.2. Sampling methods

Seawater samples were collected from selected well dischargesat the three different sites. A total of 12 wells were included in thestudy, four wells from each desalination plant. Samples for site Awere collected at the end of October, 2014, site B at the beginning ofNovember 2014 and site C at the end of December 2014. In addition,a sample from open seawater was collected at each of the threesites at the same time as the collection of the well samples. Theseawater sample was used as a reference to evaluate the changes inthe raw seawater quality as it passes through the aquifer system.

The water samples were collected using quality assurance pro-tocols to preserve the constituents to be analyzed in the laboratory.Water was taken from the pump discharge of the operating wells,which is considered to be a representative sample. Upon collection,all samples were placed in bottles that were placed in a containerfilled with ice to minimize biological activity. The collected sampleswere initially fixed with 0.02% (w/v) sodium azide solution duringthe sampling to further control bioactivity. The collected sampleswere transported the same day to the laboratory for analysis of theconcentrations of algae, bacteria, natural organic matter fractions(NOM), transparent exopolymer particles (TEP), and the physicalparameters. Samples were stored at 4 �C in the laboratory beforeanalysis to limit bioactivity. Sample retention time was minimizedto be sure that the sample concentrations represented fieldconditions.

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2.3. Water quality measurements

2.3.1. Fundamental water quality parametersThe collected samples were analyzed to measure the funda-

mental water quality parameters. The physical parameters includedturbidity, salinity, conductivity, and pH. A portable turbidity meter(HACH 2100Q) was used to measure the sample turbidities while aportable pHmeter (WTWpH 3310) was used tomeasure pH values.The conductivity and salinity measurements were performed usinga portable conductivity meter (WTW Con 3210).

2.3.2. Micro-organism quantificationAlgae and bacteria counts in the collected water samples were

determined using a flow cytometer. A BD FACSVers flow cytometerwas used to analyze the algae cells, while an Accuri flow cytometerwas used for bacterial counts. Light scattering properties and/orfluorescent intensity was determined by the flow cytometer todistinguish between the different organism classifications (Van derMerwe et al., 2014). Lasers are used to excite both unstainedautofluorescent organisms (algae) and stained bacterial cells. Thered laser wavelength was set at 640 nm and the blue laser at488 nm. Algal cell counting was performed by combining 500 mL ofeach sample with a 1 mL volume of a standard containing 1 mmbeads in a 10 mL tube. The tube was then vortexed and measuredusing the high flow rate with a 200 mL injection volume for 2 min.The counting procedure was repeated three times to assess theprecision of the measurements. The different types of algae, Cya-nobacteria, Prochlorococcus, and Pico/Nanoplankton, were distin-guished based on their autofluorescence as well as by the cell sideangle scatter which is used to identify them by size (Radi�c et al.,2009).

For bacterial counts, a comparative protocol employing SYBR®

Green stain was used. A volume of 500 mL from each sample wastransferred to a 10 mL tube, incubated in a 35 �C water bath for10 min and stained with the SYBR® Green dye (5 mL into 500 mLaliquot), vortexed, and incubated for another 10 min. The preparedsamples were then analyzed at a medium flow setting with a 50 mLinjection volume for 1 min. Triplicate measurements were made oneach sample to assess measurement precision.

2.3.3. Total organic carbon and NOM fraction concentrationsThe total organic carbon concentrations in the samples were

measured using a Shimadzu TOC-VCSH instrument. The detailedfractions of dissolved organic carbon were determined by using aLiquid Chromatography Organic Carbon Detector (LCOCD) fromDOC-Labor. The protocols and methods developed by Huber et al.(2011) were followed in order to measure the different fractionsof NOM using LCOCD and have been previously described inDehwah et al. (2015).

The size exclusion chromatography column that was used forthis experiment is a Toyopearl HW-50S which is produced byTOSOH. Prior to the sample measurements, a calibration curve wasestablished for both molecular masses of humic substances anddetector sensitivity. For the molecular mass calibration, humic acidand fulvic acid standards (Suwannee River Standard II) were usedwhile potassium hydrogen phthalate and potassium nitrate (KNO3)were used for sensitivity calibration (Huber et al., 2011).

The samples for the LC-OCD were manually pre-filtered using a0.45 mm syringe filter to exclude the non-dissolved organics. Beforeanalyzing the samples, a system cleaning was performed by in-jection of 4000 mL of 0.1 mol/L NaOH through the column for260 min. Following the cleaning step, 2000 mL of the sample wasinjected for analysis with 180 min of retention time and a flow rateof 1.5 mL/min. A mobile phase of phosphate buffer with STD28mmol and a pH of 6.58 was used to carry the sample through the

system. The analysis result is a chromatogram showing a plot ofsignal response of different organic fractions to retention time.Manual integration of the data was then performed to determinethe concentration of the different organic fractions including bio-polymers, humic substances, building blocks, lowmolecular weightacids and low molecular weight neutrals. The manual integrationwas performed based on the method developed by Huber et al.(2011).

2.3.4. TEP concentration measurementsTwo types of TEP were investigated, particulate and colloidal.

Particulate TEP has a size greater than 0.4 mm, while colloidal TEPsize ranges between 0.1 and 0.40 mm (Villacorte et al., 2009). Par-ticulate TEP is formed predominantly by the self-assembly of pre-cursor substances, such as dissolved polysaccharides andbiopolymers, that are produced by extra-cellular excretion of algaeand bacteria (Passow and Alldredge, 1995; Passow, 2000, 2002).

Analysis of TEP was conducted based on the method developedby Passow and Alldredge (1995) which includes sample filtration,membrane staining with alcian blue and UV spectrometer mea-surements. A staining solution was prepared from 0.06% (m/v)Alcian Blue 8GX (Standard Fluka) in an acetate buffer solution (pH4) and freshly pre-filtered through a 0.2 mm polycarbonate filterbefore usage. A 300mL volume of seawater from eachwater samplewas filtered through a 0.4 mm pore size polycarbonate membraneusing an adjustable vacuum pump at low constant vacuum. Afterfiltration, the membrane was rinsed with 10 mL of Milli-Q water toavoid the coagulation of the Alcian Blue with possible saltremaining on the filter after the seawater filtration. This helps avoidoverestimation of the TEP concentration. The retained TEP particleson the membrane surface were then stained with the Alcian Bluedye for 10 s. After staining, the membrane was flushed with 10 mLof Milli-Q water to remove excess dye. The flushed membrane wasthen placed into a small beaker, where it was soaked in 80% sulfuricacid for 6 h to extract the Alcian Blue dye that was bound to the TEP.Finally, the absorbance of the acid solution was measured using aUV spectrometer at 752 nm wavelength to determine the TEPconcentration. The same methodology was applied to determinethe colloidal TEP. The only difference is that a 250 mL volume of thewater sample from the 0.4 mm polycarbonate membrane permeatewas filtered through a 0.1 mm pore size membrane to allow depo-sition of the colloidal TEP on the membrane surface.

In order to relate the UV absorbance values to estimated TEPconcentrations, a calibration curve was established. Xanthan gumsolutions with different volumes (0, 0.5, 1, 2, 3 mL) were used toobtain the calibration curve (Supplemental Information). The TOCconcentrations of xanthan gum before and after 0.4 mm filtrationwere analyzed, and the TOC concentration difference was used tocalculate the gum mass on each filter and the TEP concentrationwas estimated using the calibration curve. The same procedureswere used for the 0.1 mm membrane to establish the calibrationcurve for colloidal particles. Afterwards, the TEP concentration wasexpressed in terms of Xanthan Gum equivalent in mg Xeq,/L bydividing the TEP mass on the corresponding volume of TEP sam-ples. Because particulate and colloidal TEP is determined indirectly,these values must be considered to be semi-quantitative.

3. Results

3.1. Fundamental water quality parameters

The fundamental water quality parameters, which include theconductivity, salinity, pH, and turbidity, are presented in Table 1.The results show that the conductivity and associated salinity areslightly higher in all well discharges compared to that in the

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Table 1Fundamental water quality parameters and total organic carbon concentrations.

Parameter Conductivity [ms/cm] Salinity pH Turbidity [NTU]

Site ASeawater 58.1 39.1 8.2 1.94Well A1 61.1 41.4 7.3 0.3Well A2 59.3 40.0 7.3 0.33Well A3 58.9 39.7 7.4 0.3Well A4 60.3 40.7 7.4 0.35Site BSeawater 59.3 38.8 8.5 0.5Well B1 60.5 39.5 7.6 1.4Well B2 59.9 39.2 7.6 1.0Well B3 59.4 38.8 7.7 0.2Well B4 53.4 34.3 7.6 0.4Site CSeawater 59.9 40.3 8.3 0.51Well C1 69.3 47.7 7.4 0.3Well C2 60.3 40.7 7.6 0.7Well C3 59.3 39.9 7.7 0.4Well C4 59.4 40 7.8 0.4

Fig. 3. Measured bacterial concentrations at the studied sites.

A.H.A. Dehwah, T.M. Missimer / Water Research 88 (2016) 216e224220

adjacent surface seawater. The pH values in the seawater are higherthan in the corresponding well discharge water at all sites. Theturbidity is much lower in the well discharges at sites A and B andslightly lower at site C.

3.2. Microorganism quantification

Algae and bacterial concentrations were measured in both thesurface seawater and the well discharges. The algal count includedthree different clusters Cyanobacteria, Prochlorococcus, and pico/nanoplankton. The predominant cluster at all the three sites iscyanobacteria. The total algae concentration in the raw seawaterwas about 130,000 cells/ml for site A, 90,000 cells/ml for site B and43,000 cells/ml for site C. The algal concentration in the wells wasbelow the detection limit of the method at sites A and B. Therefore,the algae were totally removed by the aquifer system at sites A andB, but some very low concentrations algae were present at site C(Table 2).

The original bacterial concentration of seawater was520,000 cells/mL for site A, 254,000 cells/mL at site B, and216,000 cells/mL at site C. The bacterial population was signifi-cantly reduced after the seawater passed through the aquifer fromthe sea into the wells (Fig. 3). The average bacterial concentrationremoval by the aquifer system was 98% for site A and 88% for both

Table 2Measured concentrations of algae in the surface seawater well discharges.

Sampling point Cyanobacteria Prochlorococcus Pico/nanoplankton Total algae (cells/mL)

Site ASeawater 99,420 25,455 4863 129,738Well A1 <50 <50 <50 <100Well A2 <50 <50 <50 <100Well A3 <50 <50 <50 <100Well A4 <50 <50 <50 <100Site BSeawater 54,347 24,663 10,023 89,033Well B1 <50 <50 <50 <100Well B2 <50 <50 <50 <100Well B3 <50 <50 <50 <100Well B4 <50 <50 <50 <100Site CSeawater 28,483 10,633 3807 42,923Well C1 230 487 <50 730Well C2 <50 180 <50 230Well C3 <50 567 80 677Well C4 <50 77 <50 107

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A.H.A. Dehwah, T.M. Missimer / Water Research 88 (2016) 216e224 221

sites B and C.

3.3. Total organic carbon and natural organic matter (NOM)fraction concentrations

The well discharges showed significant reductions of totalorganic carbon concentration from the surface seawater to the welldischarges (Table 3). The reduction ranged between 16 and 70%.The highest percentages of reduction were observed at site A. Thereduction percentage at site C was significantly lower comparedwith the other two sites.

The different fractions of natural organic matter were measuredfor the raw seawater and the well discharges. The measurementsshowed that humic substances and low molecular weight neutralsare the most abundant fraction in the raw seawater, followed bybuilding blocks, biopolymers and low molecular weight acids(Fig. 4).

The analysis of the well discharge samples revealed that most ofthe different fractions experienced a reduction in the concentrationas seawater passed through the aquifer system from the sea to thewells (Fig. 4). The percentage reduction of each fraction variedbetween the sites and internally between different wells at thesame site. However, the highest removal percentage of most of thefractions was observed at site A. The fraction that exhibited thehighest reduction percentage was the biopolymers. The averagebiopolymer removal percentage was 96%, 95% and 90% for sites A, Band C respectively. Reductions in humic substances and buildingblocks were observed in all wells compared to the surface seawaterwith greater removal percentages occurring in the humic substanceconcentrations. Significant reductions in the lower molecularweight acids also occurred. However, the removal of the low mo-lecular weight neutrals was much lower and in certain cases therewas an increase in concentration compared to seawater.

Fig. 4. Natural organic matter fraction concentrations at the studied sites.

3.4. TEP concentration

Particulate and colloidal TEP concentrations were measured forthe natural surface seawater and the well discharges at the threestudied sites (Fig. 5). Particulate TEP concentrations measured inthe raw seawater were about 320 mg Xeq./L for site A and about250 mg Xeq./L for sites B and C. The colloidal TEP concentrations inthe raw seawater were significantly lower than particulate TEP

Table 3Concentrations of total organic carbon (TOC) in the surface seawater and in the welldischarges with a calculation of reduction in concentration provided by aquifertransport.

Parameter TOC (mg/l) (%) Difference (TOC)

Site ASeawater 1.1Well A1 0.3 70%Well A2 0.3 70%Well A3 0.4 58%Well A4 0.3 69%Site BSeawater 1.0Well B1 0.6 41%Well B2 0.5 51%Well B3 0.5 51%Well B4 0.5 50%Site CSeawater 0.9Well C1 0.7 16%Well C2 0.5 40%Well C3 0.6 31%Well C4 0.6 36%

concentration at all sites. At the well discharges, particulate andcolloidal TEP concentrations were significantly lower compared tocorresponding values in the raw seawater (Fig. 5). The particulateTEP concentration reduction in the well discharges averaged 86%,73% and 72% for sites A, B and C respectively. Moreover, the colloidalTEP concentration reduction by the aquifer transport averaged 59%,56%, and 68% for sites A, B and C respectively.

4. Discussion

4.1. Improvement of feed water quality by the well intake system

It was observed that raw seawater quality was improved greatlyafter passing through the aquifer system at all the studied sites. Thephysical water characteristics did exhibit some minor increases insalinity and a decrease in pH, both of which have minimal impacton membrane treatment efficiency. The turbidity was reducedsignificantly between the raw water and the most of the well dis-charges. This improvement is significant and reduces the potentialfor general biofouling of the membranes. In addition, a significantreduction occurred in concentrations of algae, bacteria, TOC, NOMfractions (with exception of the low molecular weight neutrals),and TEP concentrations.

The analysis of physical water quality parameters showed thatphysical straining by the aquifer system removes most of the

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Fig. 5. Particulate and colloidal TEP concentrations at the studied sites.

A.H.A. Dehwah, T.M. Missimer / Water Research 88 (2016) 216e224222

particulates from the raw seawater as indicated by the lowerturbidity values in most of the well discharges. The remainingturbidity likely occurs due to scour of some particulates from theaquifer. In general, the salinity and conductivity of water from theproduction wells were similar or slightly higher than the rawseawater which supports the assumption that wells are mostlyrecharged from the seawater source. The lower pH values at thewell discharges compared to the seawater are related to the highersaturation of seawater with calcium carbonate compared to thegroundwater samples. The high rate of evaporation along the RedSea nearshore area causes increased calcium carbonate saturationwithin the water column. As the seawater passes through the un-derlying sediments, it is expected that some calcium carbonatewould precipitate at the seafloor and dissolved carbon dioxideslightly is commonly higher in the groundwater due to degradationof organic matter. Therefore, the raw seawater with less calciumcarbonate content will pass through the aquifer system. Evidencefor precipitation of CaCO3 occurs on the seabed where a limestonehardground is found in most areas. The sediments are cementedwith fine-grained aragonite and high magnesium calcite.

The rawwater extracted from thewell systemwas almost free ofalgae with the exception of the wells at site C where some algae

breakthrough occurs. Bacterial concentrations were significantlyremoved from the seawater during the transport through theaquifer. The reduction in microorganism count is associated withthe organic carbon removal close to the marine sediment/waterinterface. Therefore, less organic matter will be available for bac-terial uptake in the aquifer. There is also a possibility that theseorganisms have been strained and adsorbed by the aquifer matrix.Moreover, it is expected that the predation by groundwater bac-terial species may also play a role in decreasing the seawater bac-terial population. However, more research will be required tovalidate this assumption.

In general, influx of raw seawater into the SWRO treatment fa-cility with a lower microorganism concentration should improvethe membrane performance since the tendency for biofilm for-mation should be lower. The reduction in the rate of biofilm for-mation may also be related to a lower concentration of associatedorganic compounds, such as algal-derived organic matter (AOM)and TEP, which are produced by algae and bacteria in the rawwater.AOM is known to increase bacterial activity in seawater (Villacorteet al., 2015). The elimination of algae is of a great benefit to thedesalination plants especially in areas where algal bloom events arecommon. Having such a systemwill help in protecting desalinationplants from unexpected algal bloom events that might cause tem-porary plant shutdowns (Berktay, 2011; Villacorte et al., 2015).

The total organic carbon concentration at the raw seawater wasreduced by more than 50% as it passed through aquifer that feedsthe vertical wells at both sites A and B. The removal percentage atsite C was lower at 16e24% of the total organic carbon. Mostprobably, during the transport of seawater to the wellfield, thisorganic carbon was partially degraded by the bacterial populationthat lives within the aquifer matrix. Moreover, the additionalbiochemical processes within the aquifer matrix will play a role inorganic carbon reduction. The adsorption of organic carbon intosediment/water interface andwithin the aquifermatrix reduces theorganic content as well.

A similar trend was observed in the NOM fractions compared toTOC, wherein most of the studied fractions showed a reduction inconcentration as seawater is pumped through the aquifer and isyielded from the wells. The biopolymer fraction, which has thelargest molecular weight among all other studied fractions, wassignificantly removed from the seawater as it percolates throughthe aquifer. Most probably the removal of the biopolymer fractionby the aquifer is attributed to the size exclusion mechanism(straining) and adsorption because it has the largest molecular sizeand may contain sticky polysaccharides. The other fractions whichinclude humic substances and building blocks were also reducedgreatly at site A (64%, 54%) and moderately at site B (45%, 31%) forhumic substances and building blocks respectively. The totalreduction percentage at site C was low for both fractions (14%, 17%).The lowmolecular weight acids were also partially removed by theaquifer system, but the removal rate differs from one site toanother. However, the low molecular weight neutrals were noteffectively removed. The increase in concentration of this fractionin some wells may be the result of bacterial breakdown of largemolecular weight substances in the groundwater system, causingsome production of the low molecular weight organics as a result.

There is a tendency for the removal percentage of NOM fractionsto be related to the molecular weight with the highest weightsbeing removed at the highest percentages. Moreover, biochemicalprocesses are playing a role in the NOM removal such as biodeg-radation by bacteria. The removal of the NOM is of significantimportance to the operation of the desalination plants. The organicmatter is food for bacteria and its presence within the raw watercauses an operational problem for the downstream components ofthe desalination plant. In addition, the biopolymer fraction contains

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proteins and polysaccharides (Repeta et al., 2002) which enhancemembrane biofouling by producing membrane conditioning (Baeket al., 2011), which harms the facility by reducing the membraneflux and its expected life. Filloux et al. (2012) found that reducingthe concentration of the biopolymer fraction of NOM reduces thefouling rate in low-pressure membranes.

The measurement of TEP concentrations showed that theaquifer matrix is effective in reducing particulate and colloidal TEPconcentrations. The total percentage reduction of particulate TEPwas >70% and colloidal TEP >55% at all three sites. Most probably,filtration, adsorption and biological activities occurring within theaquifer matrix and the underlying sediments are the reasonsbehind TEP concentration reduction. Having low concentrations ofTEP will help increase the membrane life expectancy, as well asminimizing the chemical cleanings. TEP particles tend to form aconditioning layer on the membrane surface which leads to for-mation of a biofilm layer that ultimately causes flux reduction andoperational problems within the SWRO desalination plant (Bar-Zeev et al., 2015).

The use of well intakes at the facilities investigated showed aclear improvement in operations based on a lower frequency ofmembrane cleaning. At site A the membrane cleaning frequencywas less than every 2 years, at site B it is every 6 months even withthe dissolved iron problem, and at site C the cleaning frequency isevery 6months to one year. In comparison, a survey of SWRO plantsusing open-ocean intakes in this region showed a membranecleaning frequency of 2.5e3 months.

4.2. Effects of well intake design by variation of travel distance andaquifer hydraulic retention time on improving raw seawater quality

The design of a subsurface intake system can control the per-formance and efficiency of downstream components within thedesalination plant. The geological media, bottom conditions, flowline path length, and hydraulic retention play a role in improvingthe natural treatment effectiveness of a subsurface intake system(e.g., wells). In this study, three desalination plants with differinggeological media and well intake designs were investigated.

The aquifer at site A consists of carbonate sediments andcoralline limestone, site B wells were drilled into siliciclastic sedi-ments, and the design of site C was unique, where the wells weredrilled into an artificial fill peninsula that was constructed in thenearshore area of the Red Sea. Site C also has an underlying aquiferconstituted of unlithified carbonate sediments and limestone. Thelimestone may contain some vertical solution cavities that mayshort-circuit travel of the seawater through the porous media. Theshoreline geology at site C was originally not supportive for con-struction of production wells since the area was a sabkha con-taining high salinity within the groundwater system. Site A whichcontains carbonate sediments showed superb performancecompared to the other sites. The reduction in algae, bacteria, TOC,NOM and TEP concentrations was extremely high. Most probablythe high surface area of the unlithified carbonate sediments allowsgreater adsorption rates and the biochemical breakdown of organicmatter. The aquifer system at site B consists of heterogeneous sil-iciclastic sediments of an alluvial nature, and also showed a sig-nificant improvement in seawater quality, but not as high as thecarbonate sediments found at site A, especially in terms of NOMand TEP concentration reduction. The site C wellfield has theunique design, lying on an artificial fill peninsula, but showed thelowest reduction percentage of the organics in terms of TOC andNOM concentrations. The algae, bacterial and TEP removal per-centages were similar to those found at site B, but some algaebreakthrough was observed at site C. While there were differencesin the geology, no clear relationship between the aquifer matrix

material and the degree of treatment of the inflowing seawater wasobserved. However, the possible dissolution of the limestonewithin the subsea limestone at site C may be responsible for thealgae breakthrough.

Additional considerations that influence the potential treatmenteffectiveness are the length of the pumping-induced flowpath fromthe sea bottom to the wells and the aquifer retention time. Theseissues are directly related. To study the effect of flow pathwaylength and associated retention time in improving the rawseawater quality, the distances between the wells and the seawatersource were measured. Site A wells have a flowpath length of atleast 450 m from the seawater source and site B wells are 300 mfrom the seawater source. Site C has the shortest and most directpathway since the wells are drilled into the sea directly. Thisflowpath may be as short as 50 m. Dissolution conduits at site Cmay have shortened the flowpath and retention time in somewells.The algae removal amounts showed a possible relation betweenflowpath and associated retention time in that site A had thelongest flowpath and showed the highest removal percentage.However, the bacterial removal percentages were similar at sites Band C. The TOC and the NOM fraction data support a relationshipbetween flowpath length with a longer aquifer retention time and areduction in concentration, particularly the TOC and thebiopolymer fraction of NOM. The retention time is considered inthis case to be directly proportional to the length of the flowpath, sothey work together in reducing the concentration of NOM. The datacollected on the particulate and colloidal TEP shows the samegeneral trend, but there is more scatter in the removal percentages.Another investigation of several well intake systems that supportsthe general relationship between flowpath/retention time andreduction in organic matter concentrations was conducted byRachman and Missimer (2014). They found that there is a directrelationship between flowpath from the shoreline to the produc-tion well and silt density index reduction and some influence onthe concentration reduction of NOM.

Other factors also impact the removal of organic compoundsduring transport in a coastal aquifer system. The hydraulic con-ductivity, the effective porosity of the aquifer, and the well pump-ing rate (hydraulic gradient) control the rate of seawater flow. Thisrate affects the attenuation processes within the aquifer includingabsorption, adsorption, and biological assimilation and breakdownof organic compounds. Also, the type of pore geometry can influ-ence the rates of organic carbon uptake based on the formation ofinternal biofilms. Therefore, while the hydraulic retention time isperhaps the most important factor in the removal rate of organicmatter, other factors also exert some influence on the rate and ul-timate concentration that occurs at the wellhead.

Another possible impact to the removal efficiency of organicmatter may be the age of the wells. Greater internal bacterial ac-tivity could be promoted by the continuing influx of NOM into theaquifer system. However, no direct correlation could be made be-tween well age and NOM or TEP removal. A recent investigation byDehwah and Missimer (2015) found that well age seems to have aminimal effect on organic carbon removal in well intake systems.

5. Conclusions

Three different SWRO treatment facilities that use well intakesystems with different geological characteristics and wellfield de-signs located along the Red Sea coastline of Saudi Arabia wereinvestigated. The purpose of the investigation was to evaluate theperformance of subsurface intake systems (vertical wells) inimproving the raw seawater quality with particular emphasis onremoval of organic carbon. Physical water parameters, algae, bac-teria, TOC, NOM fractions and TEP concentrations were measured

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in this study. In general, the results showed that vertical wells arehighly effective at improving the raw water quality before enteringthe various SWRO desalination plants. Almost all algae, up to 99% ofthe bacteria, up to 70% of the TOC, >90% of biopolymer NOM frac-tion, >70% of particulate TEP, and >50% of colloidal TEP wereremoved while passing through the aquifer from the sea into thewells. The length of flow pathway, and associated retention time inthe aquifer during induced flow, appear to affect the removal per-centage for the TOC and the biopolymer fraction of NOM, but noclear difference was observed in terms of other organic parameterconcentrations based on the flow pathway length. The wells drilledinto carbonate sediment and the coral formation showed thehighest reduction percentagewithin the different geological media,but the association appears to be predominantly related to flow-path length and retention time. Other factors within the structureof the aquifer system also exert some influence, such as the hy-draulic conductivity, pores types and distribution, and the wellpumping rates which control the gradient inducing flow.

The lower concentration of bacteria, TOC, and the biopolymerfraction of NOM collectively decreases the probability of rapidbiofilm formation on the SWRO membrane surfaces. Subsequently,the need for a complicated pretreatment systemwill be lower sincethe natural treatment mechanisms occurring within the aquiferwill replace the sophisticated, engineered pretreatment systems.The natural treatment mechanisms occurring within the aquifersystem includes straining, biochemical degradation and adsorptionwhich help reduce the organic and microorganism content of theraw seawater during transport. Therefore, the need for membranecleaning as well as chemical usage within an SWRO plant using asubsurface intakewill beminimized and ultimately that will reducethe operating cost. In addition, this type of intake is environmen-tally friendly with no impingement and entrainment of marineorganisms that occurs when using operation of conventional open-ocean intake systems. Also, the required membrane cleaning fre-quency to remove organic fouling material has been reduced by50e75% by using the well intake system.

Acknowledgments

Funding for this research was provided by King Abdullah Uni-versity of Science and Technology, Thuwal, Saudi Arabia. The au-thors thank the Water Desalination and Reuse Center for the use ofanalytical equipment. The authors thank Samir Al-Mashharawi,Khaled Bin Bandar, Nizar Jaber, Noor Zaouri and Sheng Li for fieldand lab support, the SAWACO company team, and Eng. NizarKammourie, Eng. Najm El-Jafery, Eng.Firas Yaish, Eng. Safwan ALIssa, Mr. Jilly Edisan, Mr. Ronald Llamera, and Mr. Nestro Genterolafor access to the facilities and on-site support.

Appendix A. Supplementary data

Supplementary data related to this article can be found at http://dx.doi.org/10.1016/j.watres.2015.10.011.

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