【摘要】 将神经网络引入河水污染建模,并将该模型用于水质预测,使用GIS的空间分析功能将河流水质污染现状及预测结果可视化(以溶解氧Do值为例),并利用GIS建立缓冲区,使得污染物对河流周边影响可视化,对于污染信息定位准确、可视,为做出正确决策提供简明的信息,对GIS在水环境中的应用作了有益尝试.更多还原

【Abstract】 Neural Network was introduced to model the pollution of river in this paper. And GIS was used to visualize the prediction result of the model. By the spatial analysis functions of GIS, we made the polluted areas visualized. It helps the decision-makers to make decisions more conveniently and correctly.更多还原