【摘要】 运用我国地面水环境质量标准 (GB3838-88)作为学习样本 ,选取了包括氧平衡参数、营养元素、重金属离子、油类等 14个指标 ,运用人工神经网络BP模型对长江干流和主要支流 (含湖泊 )的水环境质量进行分类研究。将计算结果与GIS数字化图形相结合 ,表明长江干流和大部分支流水质状况基本良好 ,上游支流沱江、下游支流大运河及太湖已受到较为严重的污染 ;长江干流城镇区段已经受到一定程度的污染更多还原

【Abstract】 Environmental quality standards for surface water of China(GB3838-88)acted as training samples,14 indexes including oxygen-balance parameters,nutrient elements,heavy metal ions and oils were selected,and water quality classification for the mainstream and major tributaries of the Yangtze River was studied with neural network-BP model.The results were combined with GIS digital graphs and indicated that the water quality situation of the mainstream and most tributaries is good,the Tuo River,Great Canal and Taihu Lake are polluted heavily,and the water quality of urban areas of the Yangtze River mainstream are contaminated.更多还原