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Watershed Planning within a Quantitative Scenario Analysis Framework
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Estimating catchment vulnerability to diffuse herbicide losses from hydrograph statistics.

Christian Leu1, Manuel K Schneider, Christian Stamm

  • 1Syngenta Crop Protection, P.O. Box, CH-4002 Basel, Switzerland.

Journal of Environmental Quality
|September 14, 2010
PubMed
Summary

A new tool using river flow data screens catchments for herbicide loss risk. The fast flow index (FFI) and fast flow volume (FFVs) proxy identifies vulnerable areas more efficiently than complex models.

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Area of Science:

  • Environmental Science
  • Hydrology
  • Water Quality

Background:

  • Process-based models for predicting diffuse herbicide losses to surface waters are data and time intensive.
  • There is a need for simplified, efficient screening tools for catchment vulnerability assessment.

Purpose of the Study:

  • To develop and validate a novel proxy for screening catchments for diffuse herbicide loss vulnerability.
  • To utilize only widely available river flow data for catchment screening.

Main Methods:

  • Developed a proxy combining the fast flow index (FFI) and fast flow volume (FFVs).
  • Tested the proxy using regression analyses on high-frequency, multiannual monitoring data of four herbicides (atrazine, metolachlor, alachlor, acetochlor) from six catchments.
  • Derived quantitative proxies for atrazine and metolachlor losses based on FFI and FFVs.

Main Results:

  • Herbicide losses to surface waters positively correlated with FFVs, with correlation slope increasing with FFI.
  • Quantitative proxies for atrazine and metolachlor losses were successfully derived.
  • Application to 65 European catchments indicated many had lower vulnerability than the initial test catchments.

Conclusions:

  • The FFI-FFVs proxy effectively screens catchments for diffuse herbicide loss vulnerability using only river flow data.
  • This proxy offers a more efficient alternative to complex process-based models.
  • The FFI-FFVs proxy can aid in selecting monitoring areas, contextualizing results, and prioritizing mitigation strategies.