GIS-based ground water contamination risk assessment tool for pesticides
A process-based preferential flow transport model was implemented in a geographic information system to locate areas in the landscape with high risk of contamination by agrochemicals, especially pesticides. Protecting ground water resources necessitates a reliable ground water quality monitoring str...
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| Veröffentlicht in: | Ground water monitoring & remediation 2005-11, Vol.25 (4), p.82-91 |
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| container_title | Ground water monitoring & remediation |
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| creator | Sinkevich, M.G. Jr Walter, M.T Lembo, A.J. Jr Richards, B.K Peranginangin, N Aburime, S.A Steenhuis, T.S |
| description | A process-based preferential flow transport model was implemented in a geographic information system to locate areas in the landscape with high risk of contamination by agrochemicals, especially pesticides. Protecting ground water resources necessitates a reliable ground water quality monitoring strategy. It is valuable to be able to focus monitoring on areas with the highest risk of contamination because monitoring ground water is an expensive activity, especially at the landscape scale. The objective of this project was to develop a tool that quantifiably estimates distributed ground water contamination risk in order to develop reliable, cost-effective ground water observation networks. The tool is based on a mechanistic model of chemical movement via preferential flow and uses land cover data, information about chemical properties, and modeled recharge to estimate the concentration of chemical reaching the ground water at each point in the landscape. The distributed risk assessment tool was tested by comparing the model-predicted risk with observed concentrations from 40 sampling wells in Cortland County, New York, for atrazine (pesticide) and nitrate, the latter assumed to be an indicator of agricultural pollution. The tool predictions agreed well with observed nitrate concentrations and pesticide detections. An Internet-based version of this tool is currently being developed for ready application to New York State. |
| doi_str_mv | 10.1111/j.1745-6592.2005.00055.x |
| format | Article |
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The tool is based on a mechanistic model of chemical movement via preferential flow and uses land cover data, information about chemical properties, and modeled recharge to estimate the concentration of chemical reaching the ground water at each point in the landscape. The distributed risk assessment tool was tested by comparing the model-predicted risk with observed concentrations from 40 sampling wells in Cortland County, New York, for atrazine (pesticide) and nitrate, the latter assumed to be an indicator of agricultural pollution. The tool predictions agreed well with observed nitrate concentrations and pesticide detections. 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The objective of this project was to develop a tool that quantifiably estimates distributed ground water contamination risk in order to develop reliable, cost-effective ground water observation networks. The tool is based on a mechanistic model of chemical movement via preferential flow and uses land cover data, information about chemical properties, and modeled recharge to estimate the concentration of chemical reaching the ground water at each point in the landscape. The distributed risk assessment tool was tested by comparing the model-predicted risk with observed concentrations from 40 sampling wells in Cortland County, New York, for atrazine (pesticide) and nitrate, the latter assumed to be an indicator of agricultural pollution. The tool predictions agreed well with observed nitrate concentrations and pesticide detections. An Internet-based version of this tool is currently being developed for ready application to New York State.</description><subject>equations</subject><subject>geographic information systems</subject><subject>groundwater contamination</subject><subject>mechanistic models</subject><subject>model validation</subject><subject>monitoring</subject><subject>pesticides</subject><subject>risk assessment</subject><subject>water flow</subject><subject>water quality</subject><issn>1069-3629</issn><issn>1745-6592</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><recordid>eNqNkV9v1SAYhxvjEuf0M8iVd63ACxQSb8yi3eKZJvuTXb6hLV046ylH6MnOvr3Umt0qF0DC7_kRHoqCMFqxPD5tK1YLWSppeMUplRXNk6yOr4rTl4PXeU-VKUFx86Z4m9KWUlBSy9Piorm8KVubXE8eYjhMPXmys4ukC9Nsd36ysw8TiT49EpuSS2nnppnMIYxkCJHsXZp953uX3hUngx2Te_93PSvuvn29Pb8oNz-by_Mvm9IKaWQpODDRa9MqK3jPlXZtz7U0ANQqBQCS8ppKNnRtrzkAN1q5zjitWqoUF3BWfFx79zH8OuTrcedT58bRTi4cEuZHg4Fc9c-gqGXNzRLUa7CLIaXoBtxHv7PxGRnFxTFul1aJi0pcHOMfx3jM6OcVffKje_5vDpv7q2spM16uuE-zO77gNj6iqqGWeP-jwYbC7eb7lUKd8x_W_GAD2of8K3h3wykDyrIyIRj8BjvEmPQ</recordid><startdate>200511</startdate><enddate>200511</enddate><creator>Sinkevich, M.G. 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Jr</au><au>Walter, M.T</au><au>Lembo, A.J. Jr</au><au>Richards, B.K</au><au>Peranginangin, N</au><au>Aburime, S.A</au><au>Steenhuis, T.S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>GIS-based ground water contamination risk assessment tool for pesticides</atitle><jtitle>Ground water monitoring & remediation</jtitle><date>2005-11</date><risdate>2005</risdate><volume>25</volume><issue>4</issue><spage>82</spage><epage>91</epage><pages>82-91</pages><issn>1069-3629</issn><eissn>1745-6592</eissn><abstract>A process-based preferential flow transport model was implemented in a geographic information system to locate areas in the landscape with high risk of contamination by agrochemicals, especially pesticides. Protecting ground water resources necessitates a reliable ground water quality monitoring strategy. It is valuable to be able to focus monitoring on areas with the highest risk of contamination because monitoring ground water is an expensive activity, especially at the landscape scale. The objective of this project was to develop a tool that quantifiably estimates distributed ground water contamination risk in order to develop reliable, cost-effective ground water observation networks. The tool is based on a mechanistic model of chemical movement via preferential flow and uses land cover data, information about chemical properties, and modeled recharge to estimate the concentration of chemical reaching the ground water at each point in the landscape. The distributed risk assessment tool was tested by comparing the model-predicted risk with observed concentrations from 40 sampling wells in Cortland County, New York, for atrazine (pesticide) and nitrate, the latter assumed to be an indicator of agricultural pollution. 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| ispartof | Ground water monitoring & remediation, 2005-11, Vol.25 (4), p.82-91 |
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| language | eng |
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| source | Access via Wiley Online Library |
| subjects | equations geographic information systems groundwater contamination mechanistic models model validation monitoring pesticides risk assessment water flow water quality |
| title | GIS-based ground water contamination risk assessment tool for pesticides |
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