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非点源污染在世界各地普遍存在，全世界12亿hm2耕地出现了中度到严重程度的退化，其中有12％是由于非点源污染引起的。非点源污染还严重影响地下水水质，对人类健康和农牧业生产造成严重威胁。预测大规模的非点源污染物的空间和时间的变化，需要多学科的理论知识，将这些知识有机结合起来才能准确预测。而利用GIS建立起来的非点源污染模型可有效解决这一难题。
Non-point source pollution is widespread throughout the world, with moderate to severe degradation of 1.2 billion hm2 of arable land worldwide, of which 12% is due to non-point source pollution. Non-point source pollution has also seriously affected the quality of groundwater, posing a serious threat to human health and the production of agriculture and animal husbandry. Predicting the spatial and temporal changes of large-scale non-point source pollutants requires multidisciplinary theoretical knowledge, which can be organically combined to predict accurately. The use of GIS to establish a non-point source pollution model can effectively solve this problem.