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Identifying regional groundwater risk areas using a WWW GIS model system

机译:使用WWW GIS模型系统识别区域地下水风险区域

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To evaluate the National Agricultural Pesticide Risk Analysis (NAPRA) WWW system (http://pasture.ecn.purdue.edu/~napra), NAPRA WWW predicted nitrate and atrazine losses to shallow groundwater were compared with well nitrate and atrazine data within Indiana. The NAPRA system correctly categorised 84% of the 'High' and 'Very High' nitrate observations, although the predicted nitrate losses are generally in more severe categories than measured nitrate levels. The NAPRA system also correctly categorised 69% of the 'High' and 'Very High' atrazine observations. Predicted results match measured concentrations reasonably, if assumptions and limitations of the NAPRA WWW system are considered. This system has the potential to identify areas vulnerable to nitrate and atrazine groundwater pollution. Thus, a web GIS version of the NAPRA model was developed (http://pasture.ecn.purdue.edu/~napra/NAPRA_SPATIAL) to facilitate the assessment of the effects of more refined agricultural management on water quality at farm field scales.
机译:为了评估国家农业农药风险分析(NAPRA)WWW系统(http://pasture.ecn.purdue.edu/~napra),NAPRA WWW预测了印第安那州浅层地下水的硝酸盐和r去津损失与井中硝酸盐和at去津的数据进行了比较。 。 NAPRA系统正确分类了84%的“高”和“非常高”的硝酸盐观测值,尽管预测的硝酸盐损失通常比测量的硝酸盐水平更严重。 NAPRA系统还正确分类了69%的“高”和“极高” at去津观察结果。如果考虑到NAPRA WWW系统的假设和局限性,则预测结果应与测得的浓度合理匹配。该系统有潜力确定易受硝酸盐和at去津地下水污染的区域。因此,开发了NAPRA模型的Web GIS版本(http://pasture.ecn.purdue.edu/~napra/NAPRA_SPATIAL),以促进评估更精细的农业管理对农田规模水质的影响。

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