Infiltration of pesticides in surface water into nearby drinking water supply wells

Flavio Malaguerra, Hans-Jørgen Albrechtsen, Philip John Binning

    Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

    Abstract

    Drinking water wells are often placed near streams because streams often overly permeable sediments and the water table is near the surface in valleys, and so pumping costs are reduced. The lowering of the water table by pumping wells can reverse the natural flow from the groundwater to the stream, inducing infiltration of surface water to groundwater and consequently to the drinking water well. Many attenuation processes can take place in the riparian zone, mainly due to mixing, biodegradation and sorption. However, if the water travel time from the surface water to the pumping well is too short, or if the compounds are poorly degradable, contaminants can reach the drinking water well at high concentrations, jeopardizing drinking water quality. Here we developed a reactive transport model to evaluate the risk of contamination of drinking water wells by surface water pollution. The model was validated using data of a tracer experiment in a riparian zone. Three compounds were considered: an older pesticide MCPP (Mecoprop) which is mobile and persistent, glyphosate (Roundup), a new biodegradable and strongly sorbed pesticide, and its degradation product AMPA. Global sensitivity analysis using the method of Morris was employed to identify the dominant model parameters. Results showed that the presence of an aquitard and its characteristics (degree of fracturing and thickness), pollutant properties and well depth are the crucial factors affecting the risk of drinking water well contamination from surface water. Global sensitivity analysis results were compared with rank correlation statistics between pesticide concentrations and geological parameters derived from a comprehensive database of Danish drinking water wells. Aquitard thickness and well depth are the most critical parameters in both the model and observed data.
    Original languageEnglish
    Publication date2010
    Number of pages1
    Publication statusPublished - 2010
    Event2010 AGU Fall Meeting - San Francisco, CA, United States
    Duration: 13 Dec 201017 Dec 2010
    http://www.agu.org/meetings/fm10/

    Conference

    Conference2010 AGU Fall Meeting
    Country/TerritoryUnited States
    CitySan Francisco, CA
    Period13/12/201017/12/2010
    Internet address

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