Development of an automated sampling technique for estimation of pesticides concentrations in drainage flow

Finn Plauborg, Ruth Grant, Marlene Ullum

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedings

Abstract

In 1998, the Danish Government initiated the Pesticide Leaching Assessment Programme (PLAP), an intensive monitoring programme aimed at evaluating the,leaching risk of pesticides under field conditions. The PLAP, which includes six different field sites, is intended to serve as an early warning system providing decision-makers with advance warning if approved pesticides - applied in accordance with the current regulations - leach to the groundwater in unacceptable concentrations. The monitoring programme includes sampling of water drained through a tile drainage system. The automated sampling of drainage water is designed to give peak concentrations of leached pesticides and tracers, but also to estimate a yearly average concentration. A sampling strategy combining time and flow proportional sampling models have been designed. The flow proportional model is a conceptual/empirical model, which is parameterised based on local experience including the time varying hydraulic response of the site. The question is how successful the initial parameterisation has been and how eventually to optimise the model parameters. An analysis of this problem is presented for two different clay sites with the use of measured drainage flow and modelling.
Original languageEnglish
Title of host publicationProceedings of the XII Symposium on Pesticide Chemistry: Pesticide in air, plant, soil & water system
PublisherLa Goliardica Pavese
Pages789-800
Number of pages12
Publication statusPublished - 2003
EventXII Symposium on Pesticide Chemistry : Pesticide in air, plant, soil & water system - Piacenza, Italy
Duration: 4 Jun 20036 Jun 2003

Conference

ConferenceXII Symposium on Pesticide Chemistry 
Country/TerritoryItaly
CityPiacenza
Period4/06/036/06/03

Programme Area

  • Programme Area 2: Water Resources

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