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      Simulating pesticides in ditches to assess ecological risk (SPIDER): I. Model description.

      1 , ,
      The Science of the total environment

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          Abstract

          Risk assessment for pesticides in the aquatic environment relies on a comparison between estimated exposure concentrations in surface water bodies and endpoints from a series of effect tests. Many field- and catchment-scale models have been developed, ranging from simple empirical models to comprehensive, physically-based, distributed models that require complex parameterisation, often through inverse modelling methods. Routine use of catchment models for assessment and management of pesticides requires a tool that is comprehensive in being able to address all major routes of entry of pesticides into surface water and that has reasonable parameter requirements. Current models either focus primarily on transport of pesticides in surface runoff or are restricted in application because they require calibration against data from detailed monitoring programmes. SPIDER (Simulating Pesticides In Ditches to assess Ecological Risk) was developed to address the gap in models available to simulate pesticide exposure within networks of small surface water bodies (ditches and streams) in support of ecological risk assessment for pesticides. SPIDER is a locally distributed, capacitance-based model that accounts for pesticide entry into surface water bodies via spray drift, surface runoff, interlayer flow and drainflow and that can be used for small agricultural catchments. This paper provides a detailed description of the model.

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          Author and article information

          Journal
          Sci. Total Environ.
          The Science of the total environment
          0048-9697
          0048-9697
          May 1 2008
          : 394
          : 1
          Affiliations
          [1 ] Cranfield University, School of Applied Sciences, Natural Resources Department, Integrated Environmental Systems Institute, Cranfield, Bedfordshire, MK43 0AL, UK. renaud@ehs.unu.edu
          Article
          S0048-9697(08)00040-5
          10.1016/j.scitotenv.2007.11.038
          18275984
          529e6024-41a6-4c91-9c5c-5bb7a11c955c
          History

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