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Field Evaluation of a Passive Sampler for Soluble
Nitrogen and Phosphorous: Performance
Comparison to Grab and Continuous Sampling
Niroj Aryal, Ph.D.
ORISE Post-Doctoral Fellow
USDA-ARS, Delta Water Management Research Unit
Michele L. Reba, Ph.D., PE (PI/Mentor)
Research Hydrologist
USDA-ARS, Delta Water Management Research Unit
Philip A. Moore, Ph.D.
Soil Scientist
USDA-ARS, Poultry Production and Products Safety
Research
Submission ID 74
Overview
• Introduction
• Non-point source from agriculture
• Nutrient monitoring
• Current methods
• Passive sampling technology
• Objectives
• Methods
• Watersheds location
• Deployment and sample collection
• Sample preparation
• Laboratory analysis
• Preliminary Results
• Ongoing studies
Introduction: Non-Point Source from Agriculture
• Agriculture in MR Basin
• 31 states and 2 Canadian provinces
• 92% of country’s agricultural exports
• $105 billion worth GDP
• 200 million jobs directly and indirectly
• Water quality in MR Basin
• Source of drinking water to 18 million people
• 180 fish species unique to the Mississippi river
• Aesthetics, tourism and economic value of water
• Hypoxia in the Gulf of Mexico and agriculture
• 22,000 km2 areal cover in 2002 (26,131 km2 predicted for 2017)
• Gulf of Hypoxia Action Plan 2008
• Decrease of N and P loading by 20%
• Decrease of hypoxia to less than 5,000 km2 by 2035
• Monitoring of tributaries-largest source of nutrients-
identified as necessary Source: Gulf Hypoxia Action Plan 2008
Source: Dr. Bill Dennison http://ian.umces.edu/blog/2014/04/24/lower-
mississippi-river-environmental-literacy/
• Concentration, loads and yields from a watershed
• Daily, seasonal, or event locally or regionally
• Effectiveness of mitigation measures
eg. conservation practices
• Compliance of regulatory standards
• Total maximum daily load
• Water treatment methods
• Recreational use of water body
Introduction: Nutrient Monitoring
• Grab/Manual/Bottle sampling
• Quick, simple, accurate (at the time of sampling), inexpensive
• Not indicative of the temporal variability
• Passive sampling
• Continuous sampling/monitoring
• Most accurate, labor intensive, expensive
• Requires specialized instruments for sampling (autosamplers)
and for in-situ measurement/analysis
• Requires frequent calibration and maintenance
• Requires power, perhaps cooling/heating also
Introduction: Current Methods of Nutrient
Monitoring
Source: Deltares
Introduction: A Passive Sampler-Sorbi Cell
The concentration of N or P
The volume of flow
Flow
entrance
Filter
Sorbent
Tracer salt
Luer lock tip
Permeable frit
Flow entrance
Introduction: Passive Sampling Technology
• No power requirement
• In-situ sampling over time
• Flow proportional sampling (represents flow conditions)
• Flexible time period (weeks to months)
• Comparable cost to grab sampling or cheaper
Source: Deltares
Introduction: Prior Application
Rozemeijer et al. 2010. Application and Evaluation of a New Passive Sampler
for Measuring Average Solute Concentrations in a Catchment Scale Water
Quality Monitoring Study. Environment Science and Technology.
1. Measure nitrate and phosphate concentrations in the agricultural drainage ditches at two watersheds in
Northeast Arkansas using a passive sampler (Sorbi cell)
2. Compare the phosphate concentrations from passive sampler to phosphate concentration from grab
sampling
3. Compare the nitrate concentrations from passive sampler to nitrate concentration from grab sampling
and from continuous measurement using sondes
4. Evaluate and contrast the cost and management requirements for three methods of sampling
Objectives
Methods: Watersheds
Lower St. Francis Basin (LSFB)
• Approximately 5769 acres (23.4 km2)
• >90% area in row crops, rice and soybean
• Mostly Sharkey clay soils (>97.4% group D)
• Ditch no. 1-St. Francis River
Little River Ditches Basin (LRDB)
• Approximately 13,200 acres (53.4 km2)
• >87% in row crops, cotton and soybean
• Mostly silty loam soil (>64.5% group C/D)
• Ditch no. 14-Buffalo Creek Ditch
• Grab samples
• Every week for 20 weeks May-Sep
• Nitrate+nitrite using Skalar auto-analyzer (EPA 353.2)
• Phosphate using Skalar auto-analyzer (EPA 365.1)
• Continuous measurement of nitrate
• Hach Hydromet DS5X Sonde
• Measurement every 15 min, May-Sep
• Calibration every 2 weeks
• Passive sampling
• Sorbi cells
• Every week sampling, May-Sep
Methods
Methods: Sorbi Deployment and Sample Collection
Methods: Sample Preparation
Samples from field
Tools required A cartridge
ready for
extraction
Wash filter
at the top
Cut the
cartridge
using
sharp
Stanley
knife
Wash
the silica
Methods: Sample Preparation (2)
Remove top filter, wash
sorbent
Push with
piston
towards the
opposite
direction of
flow
Add 50 mL of 2M HCL to
sorbent and 50 mL of 0.4 M
HCl to salt solution; sonicate
Recovered
salt and
sorbent
Washout
salt
• Analyzed in USDA lab at Fayetteville, AR
• Calcium by Varian Vista Pro ICP-OES
• Volume of flow calculated by
• Nitrate+nitrite using Skalar auto-analyzer (EPA 353.2)
• Concentration of nitrate or phosphorous calculated using
Methods: Laboratory Analysis
Results: Phosphorous
0.33±0.16 (sorbi) vs. 0.16±0.04 (grab) 0.33±0.22 (sorbi) vs. 0.16±0.04 (grab)
0
1
2
3
4
5
6
7
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
4/6 5/26 7/15 9/3 10/23
Discharge,m3/s
Phosphate-Pconcentration,mg/L
Grab
Sorbi
Discharge
LSFB
0
1
2
3
4
5
6
7
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
4/6 5/26 7/15 9/3 10/23
Discharge,m3/s
Phosphate-Pconcentration,mg/L
Grab
Sorbi
Discharge
LRDB
Results: Nitrate
0
1
2
3
4
50
1
2
3
4
5
6
7
8
9
10
5/12 7/1 8/20
Discharge,m3/s
Nitrate,Nmg/L
LSFB
Discharge-daily
Sonde_15 min
Grab_weekly
Sorbi_weekly
0
1
2
3
4
50
1
2
3
4
5
6
7
8
9
10
5/12 7/1 8/20
Discharge,m3/s
Nitrate,Nmg/L
LSFB
Discharge-daily
Grab_weekly
Sorbi_weekly
Results: Nitrate (2)
0
1
2
3
4
5
6
70
5
10
15
20
25
5/12 7/1 8/20
Discharge,m3/s
Nitrate,mgN/L
LRDB
Discharge_daily
Sonde_15 min
Grab_weekly
Sorbi_weekly
0
1
2
3
4
5
6
70.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
5/12 7/1 8/20
Discharge,m3/s
Nitrate,mgN/L
LRDB
Discharge_daily
Grab_weekly
Sorbi_weekly
Published literature
Bringhurst and Jordan 2015.
The impact on nutrient cycles
from tropical forest to pasture
conversion in Costa Rica.
Sustainable Water Resources
Management.
• Waiting for the laboratory analysis results from experiment in 2016/17
• 2-week sampling interval
• Identify the reason for low concentration of nitrate
• Non-retention of nitrate in the sorbent section?
• Injection of standard samples of nitrate showed 39-43% error
• Less than detectable nitrate-N concentration in the water?
• Continuous measurement and grab sampling consistently measure concentration >0.2 mg/L
• Possible interference from other ions?
• Inject stream/ditch water manually
• Beyond the limit of detection of sorbi?
• Inject stream/ditch water spiked with nitrate in increasing concentrations
• Skalar auto-analyzer or analysis issues?
• Used spectrophotometer
• Plan to use analysis method that is suitable for sea water
Ongoing Studies
Acknowledgement
Delta Water Management Research Unit
USDA-ARS Lab at
Fayetteville, AR
SorbiSense A/S, sorbi cells manufacturer
CEAP (Conservation
Effect Assessment
Project

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Field Evaluation of a Passive Sampler

  • 1. Field Evaluation of a Passive Sampler for Soluble Nitrogen and Phosphorous: Performance Comparison to Grab and Continuous Sampling Niroj Aryal, Ph.D. ORISE Post-Doctoral Fellow USDA-ARS, Delta Water Management Research Unit Michele L. Reba, Ph.D., PE (PI/Mentor) Research Hydrologist USDA-ARS, Delta Water Management Research Unit Philip A. Moore, Ph.D. Soil Scientist USDA-ARS, Poultry Production and Products Safety Research Submission ID 74
  • 2. Overview • Introduction • Non-point source from agriculture • Nutrient monitoring • Current methods • Passive sampling technology • Objectives • Methods • Watersheds location • Deployment and sample collection • Sample preparation • Laboratory analysis • Preliminary Results • Ongoing studies
  • 3. Introduction: Non-Point Source from Agriculture • Agriculture in MR Basin • 31 states and 2 Canadian provinces • 92% of country’s agricultural exports • $105 billion worth GDP • 200 million jobs directly and indirectly • Water quality in MR Basin • Source of drinking water to 18 million people • 180 fish species unique to the Mississippi river • Aesthetics, tourism and economic value of water • Hypoxia in the Gulf of Mexico and agriculture • 22,000 km2 areal cover in 2002 (26,131 km2 predicted for 2017) • Gulf of Hypoxia Action Plan 2008 • Decrease of N and P loading by 20% • Decrease of hypoxia to less than 5,000 km2 by 2035 • Monitoring of tributaries-largest source of nutrients- identified as necessary Source: Gulf Hypoxia Action Plan 2008 Source: Dr. Bill Dennison http://ian.umces.edu/blog/2014/04/24/lower- mississippi-river-environmental-literacy/
  • 4. • Concentration, loads and yields from a watershed • Daily, seasonal, or event locally or regionally • Effectiveness of mitigation measures eg. conservation practices • Compliance of regulatory standards • Total maximum daily load • Water treatment methods • Recreational use of water body Introduction: Nutrient Monitoring
  • 5. • Grab/Manual/Bottle sampling • Quick, simple, accurate (at the time of sampling), inexpensive • Not indicative of the temporal variability • Passive sampling • Continuous sampling/monitoring • Most accurate, labor intensive, expensive • Requires specialized instruments for sampling (autosamplers) and for in-situ measurement/analysis • Requires frequent calibration and maintenance • Requires power, perhaps cooling/heating also Introduction: Current Methods of Nutrient Monitoring Source: Deltares
  • 6. Introduction: A Passive Sampler-Sorbi Cell The concentration of N or P The volume of flow Flow entrance Filter Sorbent Tracer salt Luer lock tip Permeable frit Flow entrance
  • 7. Introduction: Passive Sampling Technology • No power requirement • In-situ sampling over time • Flow proportional sampling (represents flow conditions) • Flexible time period (weeks to months) • Comparable cost to grab sampling or cheaper Source: Deltares
  • 8. Introduction: Prior Application Rozemeijer et al. 2010. Application and Evaluation of a New Passive Sampler for Measuring Average Solute Concentrations in a Catchment Scale Water Quality Monitoring Study. Environment Science and Technology.
  • 9. 1. Measure nitrate and phosphate concentrations in the agricultural drainage ditches at two watersheds in Northeast Arkansas using a passive sampler (Sorbi cell) 2. Compare the phosphate concentrations from passive sampler to phosphate concentration from grab sampling 3. Compare the nitrate concentrations from passive sampler to nitrate concentration from grab sampling and from continuous measurement using sondes 4. Evaluate and contrast the cost and management requirements for three methods of sampling Objectives
  • 10. Methods: Watersheds Lower St. Francis Basin (LSFB) • Approximately 5769 acres (23.4 km2) • >90% area in row crops, rice and soybean • Mostly Sharkey clay soils (>97.4% group D) • Ditch no. 1-St. Francis River Little River Ditches Basin (LRDB) • Approximately 13,200 acres (53.4 km2) • >87% in row crops, cotton and soybean • Mostly silty loam soil (>64.5% group C/D) • Ditch no. 14-Buffalo Creek Ditch
  • 11. • Grab samples • Every week for 20 weeks May-Sep • Nitrate+nitrite using Skalar auto-analyzer (EPA 353.2) • Phosphate using Skalar auto-analyzer (EPA 365.1) • Continuous measurement of nitrate • Hach Hydromet DS5X Sonde • Measurement every 15 min, May-Sep • Calibration every 2 weeks • Passive sampling • Sorbi cells • Every week sampling, May-Sep Methods
  • 12. Methods: Sorbi Deployment and Sample Collection
  • 13. Methods: Sample Preparation Samples from field Tools required A cartridge ready for extraction Wash filter at the top Cut the cartridge using sharp Stanley knife Wash the silica
  • 14. Methods: Sample Preparation (2) Remove top filter, wash sorbent Push with piston towards the opposite direction of flow Add 50 mL of 2M HCL to sorbent and 50 mL of 0.4 M HCl to salt solution; sonicate Recovered salt and sorbent Washout salt
  • 15. • Analyzed in USDA lab at Fayetteville, AR • Calcium by Varian Vista Pro ICP-OES • Volume of flow calculated by • Nitrate+nitrite using Skalar auto-analyzer (EPA 353.2) • Concentration of nitrate or phosphorous calculated using Methods: Laboratory Analysis
  • 16. Results: Phosphorous 0.33±0.16 (sorbi) vs. 0.16±0.04 (grab) 0.33±0.22 (sorbi) vs. 0.16±0.04 (grab) 0 1 2 3 4 5 6 7 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 4/6 5/26 7/15 9/3 10/23 Discharge,m3/s Phosphate-Pconcentration,mg/L Grab Sorbi Discharge LSFB 0 1 2 3 4 5 6 7 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 4/6 5/26 7/15 9/3 10/23 Discharge,m3/s Phosphate-Pconcentration,mg/L Grab Sorbi Discharge LRDB
  • 17. Results: Nitrate 0 1 2 3 4 50 1 2 3 4 5 6 7 8 9 10 5/12 7/1 8/20 Discharge,m3/s Nitrate,Nmg/L LSFB Discharge-daily Sonde_15 min Grab_weekly Sorbi_weekly 0 1 2 3 4 50 1 2 3 4 5 6 7 8 9 10 5/12 7/1 8/20 Discharge,m3/s Nitrate,Nmg/L LSFB Discharge-daily Grab_weekly Sorbi_weekly
  • 18. Results: Nitrate (2) 0 1 2 3 4 5 6 70 5 10 15 20 25 5/12 7/1 8/20 Discharge,m3/s Nitrate,mgN/L LRDB Discharge_daily Sonde_15 min Grab_weekly Sorbi_weekly 0 1 2 3 4 5 6 70.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 5/12 7/1 8/20 Discharge,m3/s Nitrate,mgN/L LRDB Discharge_daily Grab_weekly Sorbi_weekly
  • 19. Published literature Bringhurst and Jordan 2015. The impact on nutrient cycles from tropical forest to pasture conversion in Costa Rica. Sustainable Water Resources Management.
  • 20. • Waiting for the laboratory analysis results from experiment in 2016/17 • 2-week sampling interval • Identify the reason for low concentration of nitrate • Non-retention of nitrate in the sorbent section? • Injection of standard samples of nitrate showed 39-43% error • Less than detectable nitrate-N concentration in the water? • Continuous measurement and grab sampling consistently measure concentration >0.2 mg/L • Possible interference from other ions? • Inject stream/ditch water manually • Beyond the limit of detection of sorbi? • Inject stream/ditch water spiked with nitrate in increasing concentrations • Skalar auto-analyzer or analysis issues? • Used spectrophotometer • Plan to use analysis method that is suitable for sea water Ongoing Studies
  • 21. Acknowledgement Delta Water Management Research Unit USDA-ARS Lab at Fayetteville, AR SorbiSense A/S, sorbi cells manufacturer CEAP (Conservation Effect Assessment Project

Notes de l'éditeur

  1. Monday July 30 1:30 PM session, this is at 2:30PM, for 20 min, less than 25 slides, room k/l
  2. Outline of this talk
  3. Agriculture and water quality are both important in MR basin. Excess nutrients such as N and P are nuisance both at fresh water bodies like lake Erie or marine water bodies like gulf of Mexico. Agricultural activities in the Mississippi river basin has been attributed to hypoxia in Gulf of Mexico. Monitoring provides important information about daily, seasonal or event based water quality, locally, regionally or nationally. Turner Rabalais 2017 Hypoxia Forcast
  4. Conservation practices have been widely regarded as the solution to nutrient problems in the streams. These regression equations are used to estimate nutrient, bacteria, and other constituent concentrations.
  5. Advective flow due to pressure differential between atmosphere and cell The SorbiCell sampler (SC-sampler) is a new passive sampling technique that can measure average concentrations over longer periods of time (days-months) for various substances. Dissolution of Ca-salt Adsorption of the solute/analyte of interest
  6. Gives average N and P for 7 days unlike snapshot conc by grab sampling The SorbiCell sampler (SC-sampler) is a new passive sampling technique that can measure average concentrations over longer periods of time (days-months) for various substances
  7. Gives average N and P for 7 days unlike snapshot conc by grab sampling
  8. avg±std dev
  9. Add ceap project