![DRIPS-a DSS for estimating the input quantity of pesticides for German river basins [An article from: Environmental Modelling and Software]](https://www.ebooknetworking.net/books/B00/0RR/bigB000RR1II4.jpg)
DRIPS-a DSS for estimating the input quantity of pesticides for German river basins [An article from: Environmental Modelling and Software]
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Book Details
Author(s)
B. Ropke, M. Bach, H.G. Frede
Publisher
Elsevier
ISBN / ASIN
B000RR1II4
ISBN-13
978B000RR1II9
Marketplace
France 🇫🇷
Description
This digital document is a journal article from Environmental Modelling and Software, published by Elsevier in 2004. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
The GIS-based decision support system (DSS)-drainage runoff input of pesticides in surface water, DRIPS-has been developed on behalf of the German EPA (UBA) for exposure assessment of agriculturally used pesticides in surface waters. The tool estimates the quantity of pesticide input from non-point sources via surface runoff, tile drainage and spraydrift. Furthermore, the resulting predicted environmental concentration of pesticides in surface waters (PEC"s"w) can be calculated considering the mean daily inputs of substances into river basins, characterized by their daily discharge. A graphical user interface (GUI) was created to provide users of the DSS with easy access to the model algorithms. Model parameters such as sorption (K"o"c), half-life (DT50), dose rate and application date of pesticides can be modified by the user in order to generate customized scenarios predicting PEC"s"w for a choice of field crops, orchards or vineyards. Results are available as grid cell maps for the territory of Germany, featuring monthly catchment specific PEC"s"w values.
Description:
The GIS-based decision support system (DSS)-drainage runoff input of pesticides in surface water, DRIPS-has been developed on behalf of the German EPA (UBA) for exposure assessment of agriculturally used pesticides in surface waters. The tool estimates the quantity of pesticide input from non-point sources via surface runoff, tile drainage and spraydrift. Furthermore, the resulting predicted environmental concentration of pesticides in surface waters (PEC"s"w) can be calculated considering the mean daily inputs of substances into river basins, characterized by their daily discharge. A graphical user interface (GUI) was created to provide users of the DSS with easy access to the model algorithms. Model parameters such as sorption (K"o"c), half-life (DT50), dose rate and application date of pesticides can be modified by the user in order to generate customized scenarios predicting PEC"s"w for a choice of field crops, orchards or vineyards. Results are available as grid cell maps for the territory of Germany, featuring monthly catchment specific PEC"s"w values.
