| BP网络应用于长江水质研究 |
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| 引用本文： | 高学民,陈静生,王立新.BP网络应用于长江水质研究[J].环境科学研究,2001,14(1):49-52. |
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| 作者姓名： | 高学民 陈静生 王立新 |
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| 作者单位： | 北京大学 城市与环境学系,北京 100871 |
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| 基金项目： | 国家自然科学基金资助项目!(496 710 17) |
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| 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。
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| 关 键 词： | 长江流域 人工神经网络 水质 |
| 文章编号： | 1001-6929(2001)01-0049-04 |
| 收稿时间： | 2000/1/3 0:00:00 |
Applying BP Neutral Network to Study Water Quality of the Yangtze River |
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| GAO Xue-min,CHEN Jing-sheng and WANG Li-xin.Applying BP Neutral Network to Study Water Quality of the Yangtze River[J].Research of Environmental Sciences,2001,14(1):49-52. |
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| Authors: | GAO Xue-min CHEN Jing-sheng and WANG Li-xin |
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| Institution: | Department of Urban and Environmental Sciences,Peking University,Beijing 100871,China |
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| 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. |
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| Keywords: | the Yangtze River watershed BP neutral network water quality |
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