Integration of the Pesticide Impact Rating Index with a Geographic Information System for the Assessment of Pesticide Impact on Water Quality
作者： Daniel W. Pollock , Rai S. Kookana , Raymond L. Correll
DOI: 10.1007/S11267-005-7398-6
关键词: Hydrology 、 Groundwater 、 Nonpoint source pollution 、 Land use 、 Water quality 、 Atrazine 、 Soil classification 、 Environmental science 、 Hydrogeology 、 Soil type
摘要: The pesticide impact rating index (PIRI) has been integrated with a Geographic Information System (GIS) to enable regional assessment of on groundwater and surface water resources. GIS version PIRI (PIRI-GIS) was used assess the pre-planting atrazine use in pine plantations Gnangara Mound, Western Australia. found be spatially variable, mainly dependent soil type depth groundwater, because land variables were constant. Areas greatest those where had low sorption capacity for atrazine. Knowledge spatial distribution coefficient based organic carbon (Koc) significantly improve results from PIRI-GIS. Average values Koc (i.e. overseas data) too most local types, resulting general overestimation resources, but an underestimation areas that should concern atrazine).
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