1
HYDRO-GEOCHEMICAL PROCESSES DRIVING ARSENIC CONCENTRATIONS IN SPRINGS IN THE THE HIGHLANDS OF COSTA RICA Glen V. C. Aguilar [1] , Daniel Riddle [2] , Melissa Zapata [3] , Kaya Weatherby [4] , Peter S. K. Knappett [3] , Kelly Brumbelow [3] , Georgianne Moore [3] University of Guam[1]; Utah Valley University[2]; Texas A&M University[3]; Boston University[4] Acknowledgements: Funding for this Research Experiences for Undergraduate program is provided by the National Science Foundation’s Division of Earth Sciences (EAR-1659848). References: Knappet, Peter, et. al, 2019. “Processes Driving Rising Arsenic Concentrations in an Intensively Pumped Agricultural Basin in Central Mexico”. Kibet, J., et. Al, 2016. “The Geochemical Speciation of Hand-dug Well Water of Kakamega County, Kenya”. The objectives of this study are to: 1. assess levels of arsenic (As) and fluoride (F) in drinking water springs as potential human health risks in the highlands of Costa Rica; 2. investigate the hydro-geochemical processes driving observed concentrations across this region. We hypothesize that in geothermally active areas, a gradation of springs exist from purely fresh, meteoric recharge water with low Total Dissolved Solids (TDS) to geothermal spring water with high TDS. Field Analysis Locate springs and map coordinates (Garmin eTrex 30) Test water for temperature, pH, specific conductance, and ORP (YSI 1030 Pro) Test water for alkalinity (HACH Model AL-DT) Filter and bottle samples for laboratory analysis Samples were then stored at 4°C prior to lab analysis. Data supports hypothesis that there is a gradient between freshwater and geothermal water Nitrite and nitrate may not adhere to the gradient due to them not being part of the biosphere We will not yet fully understand hydro-geochemical processes of the system until water isotopes results are completed Further studies and analysis may explain why certain parameters decrease and specific conductance and temperature increase Figure 1: Sample sites in Costa Rica METHODOLOGY INTRODUCTION % = Σ −Σ || Σ +Σ || ∗ 100 RESULTS Lab Analysis Anions and cations were analyzed using ion chromatography (Dionex 500, Thermo-Fischer Scientific, Waltham, MA). Water isotopes δ18O and δ2H were analyzed on a Picarro cavity ring down system (Picarro Inc., Santa Clara, CA). Trace elements were analyzed using Inductively Coupled Plasma Mass Spectroscopy (ICP-MS) Figure 4: Piper plot showing major ion proportions in samples. Equation 1: Charge Balance Error helps us judge the validity of water analyses. Ideally CBE is ±5% Water chemistry of geothermal springs mostly consist of sodium chloride Treated river water and freshwater springs mostly consist of magnesium bicarbonate Box and whisker plots show there is a gradient in most of the chemical parameters Our bivariate plots show that as specific conductance increase, many chemical parameters seem to decrease DISCUSSION CONCLUSION AND FUTURE RESEARCH Figure 2: The graphs above show the gradient in field measurements and TDS between the different water types Figure 3: The graphs above show the relationship between the highest correlating parameters 1 10 100 1000 1 10 100 1000 10000 Alkalinity (mg/L) Specific Conductance (S/cm) CATIONS ANIONS 1 10 100 1 10 100 1000 10000 Calcium (mg/L) Specific Conductance (µS/cm) 1 10 100 1000 1 10 100 1000 10000 Sodium (mg/L) Specific Conductance (µS/cm) 1 10 100 1 10 100 1000 Calcium (mg/L) Alkalinity (mg/L) 0.0001 0.001 0.01 0.1 1 10 1 10 100 1000 10000 Lithium (mg/L) Specific Conductance (µS/cm) RESULTS Fluoride (mg/L) 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5 Chloride (mg/L) 0 100 200 300 400 500 600 700 Nitrite (mg/L) 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 Sulfate (mg/L) 0 20 40 60 80 100 120 140 160 180 200 Bromide (mg/L) 0 0.2 0.4 0.6 0.8 1 1.2 1.4 Nitrate (mg/L) 0 0.2 0.4 0.6 0.8 1 1.2 1.4 Phosphate (mg/L) 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 Lithium (mg/L) 0 0.5 1 1.5 2 2.5 Sodium (mg/L) 0 100 200 300 400 500 600 700 800 Ammonium (mg/L) 0 2 4 6 8 10 12 14 16 Potassium (mg/L) 0 10 20 30 40 50 60 70 Specific Conductance (µS/cm) 0 500 1000 1500 2000 2500 3000 3500 Magnesium (mg/L) 0 10 20 30 40 50 60 70 Calcium (mg/L) 5 15 25 35 45 55 65 75 85 95 Alkalinity (mg/L) 30 50 70 90 110 130 150 170 190 ORP (mV) 100 150 200 250 300 350 400 450 500 550 600 pH 0 1 2 3 4 5 6 7 8 9 Figure 5: Sample sites and field sampling in Costa Rica

Alkalinit y (mg/ L) - Costa Rica Research Experience for ... · health risks in the highlands of Costa Rica; 2. investigate the hydro-geochemical processes driving observed concentrations

  • Upload
    others

  • View
    2

  • Download
    0

Embed Size (px)

Citation preview

Page 1: Alkalinit y (mg/ L) - Costa Rica Research Experience for ... · health risks in the highlands of Costa Rica; 2. investigate the hydro-geochemical processes driving observed concentrations

HYDRO-GEOCHEMICAL PROCESSES DRIVING ARSENIC CONCENTRATIONS

IN SPRINGS IN THE THE HIGHLANDS OF COSTA RICA

Glen V. C. Aguilar[1], Daniel Riddle[2], Melissa Zapata[3], Kaya Weatherby[4], Peter S. K.

Knappett[3], Kelly Brumbelow[3], Georgianne Moore[3]

University of Guam[1]; Utah Valley University[2]; Texas A&M University[3]; Boston University[4]

Acknowledgements:Funding for this Research Experiences for Undergraduate program is provided by the National Science Foundation’s Division of

Earth Sciences (EAR-1659848).

References:Knappet, Peter, et. al, 2019. “Processes Driving Rising Arsenic Concentrations in an Intensively Pumped Agricultural Basin in

Central Mexico”.

Kibet, J., et. Al, 2016. “The Geochemical Speciation of Hand-dug Well Water of Kakamega County, Kenya”.

• The objectives of this study are to:

1. assess levels of arsenic (As) and fluoride (F)

in drinking water springs as potential human

health risks in the highlands of Costa Rica;

2. investigate the hydro-geochemical processes

driving observed concentrations across this

region.

We hypothesize that in geothermally active areas,

a gradation of springs exist from purely fresh,

meteoric recharge water with low Total Dissolved

Solids (TDS) to geothermal spring water with high

TDS.

Field Analysis

• Locate springs and map coordinates (Garmin

eTrex 30)

• Test water for temperature, pH, specific

conductance, and ORP (YSI 1030 Pro)

• Test water for alkalinity (HACH Model AL-DT)

• Filter and bottle samples for laboratory analysis

• Samples were then stored at 4°C prior to lab

analysis. • Data supports hypothesis that there is a gradient

between freshwater and geothermal water

• Nitrite and nitrate may not adhere to the gradient due to

them not being part of the biosphere

• We will not yet fully understand hydro-geochemical

processes of the system until water isotopes results are

completed

• Further studies and analysis may explain why certain

parameters decrease and specific conductance and

temperature increase

Figure 1: Sample sites in Costa Rica

METHODOLOGY

INTRODUCTION

%𝐶𝐵𝐸 =Σ 𝑐𝑎𝑡𝑖𝑜𝑛𝑠 −Σ |𝑎𝑛𝑖𝑜𝑛𝑠|

Σ 𝑐𝑎𝑡𝑖𝑜𝑛𝑠+Σ |𝑎𝑛𝑖𝑜𝑛𝑠|∗ 100

RESULTS

Lab Analysis

• Anions and cations were analyzed using ion

chromatography (Dionex 500, Thermo-Fischer

Scientific, Waltham, MA).

• Water isotopes δ18O and δ2H were analyzed on

a Picarro cavity ring down system (Picarro Inc.,

Santa Clara, CA).

• Trace elements were analyzed using Inductively

Coupled Plasma Mass Spectroscopy (ICP-MS)

Figure 4: Piper plot showing major ion proportions in

samples.

Equation 1: Charge Balance Error helps us judge the

validity of water analyses. Ideally CBE is ±5%

• Water chemistry of geothermal springs mostly

consist of sodium chloride

• Treated river water and freshwater springs mostly

consist of magnesium bicarbonate

• Box and whisker plots show there is a gradient in

most of the chemical parameters

• Our bivariate plots show that as specific

conductance increase, many chemical parameters

seem to decrease

DISCUSSION CONCLUSION AND FUTURE RESEARCH

Figure 2: The graphs above show the gradient in field measurements and TDS between the different water types

Figure 3: The graphs above show the relationship between the highest correlating parameters

1

10

100

1000

1 10 100 1000 10000Alk

alin

ity (

mg

/L)

Specific Conductance (𝜇S/cm)

CA

TIO

NS

AN

ION

S

1

10

100

1 10 100 1000 10000

Cal

ciu

m (

mg

/L)

Specific Conductance (µS/cm)

1

10

100

1000

1 10 100 1000 10000

Sod

ium

(m

g/L

)

Specific Conductance (µS/cm)

1

10

100

1 10 100 1000

Cal

ciu

m (

mg

/L)

Alkalinity (mg/L)

0.0001

0.001

0.01

0.1

1

10

1 10 100 1000 10000

Lith

ium

(m

g/L

)

Specific Conductance (µS/cm)

RESULTS

Flu

ori

de

(m

g/L)

00.05

0.10.15

0.20.25

0.30.35

0.40.45

0.5

Ch

lori

de

(mg/

L)0

100

200

300

400

500

600

700

Nit

rite

(m

g/L)

00.20.40.60.8

11.21.41.61.8

2

Sulf

ate

(mg/

L)

020406080

100120140160180200

Bro

mid

e (

mg/

L)

0

0.2

0.4

0.6

0.8

1

1.2

1.4

Nit

rate

(m

g/L)

0

0.2

0.4

0.6

0.8

1

1.2

1.4

Ph

osp

hat

e (

mg/

L)

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

Lith

ium

(m

g/L)

0

0.5

1

1.5

2

2.5

Sod

ium

(m

g/L)

0

100

200

300

400

500

600

700

800

Am

mo

niu

m (

mg/

L)

0

2

4

6

8

10

12

14

16

Po

tass

ium

(m

g/L)

0

10

20

30

40

50

60

70

Spec

ific

C

on

du

ctan

ce

(µS/

cm)

0

500

1000

1500

2000

2500

3000

3500

Mag

nes

ium

(m

g/L)

0

10

20

30

40

50

60

70

Cal

ciu

m (

mg/

L)

515

25

35

45

55

6575

85

95

Alk

alin

ity

(mg/

L)

30

50

70

90

110

130

150

170

190

OR

P (

mV

)

100150200250300350400450500550600

pH

0

12

3

4

5

6

7

8

9

Figure 5: Sample sites and field sampling in Costa Rica