Cao-E river water quality variation and its simulating by ANN

被引：0
作者：
Yuan, Shaofeng [1 ]
Yang, Lixia [2 ]
机构：
[1] Department of land resources management, Zhejiang Gongshang University
[2] Department of resources and environment management, Zhejiang Institute of Finance and Economics
来源：
Journal of Convergence Information Technology | 2012年 / 7卷 / 21期
关键词：
Ann; Artificial neural network; Cao-e river; Drainage basin; Pollution; Water quality;
D O I：
10.4156/jcit.vol7.issue21.49
中图分类号：
学科分类号：
摘要：
Cao-E River basin is chosen as the study region, and the relationships among the 15 water quality indexes and the relationships of the water quality between the upper and lower reaches are analyzed. Then, artificial neural network (ANN) is introduced in the simulating and forecasting of water quality indexes, which show significant relativities among them. Based on the analysis and forecast, conclusions are drawn as following: 1) Particle phosphorus (PP) makes main contribution to total phosphorus; 2) While the total nitrogen (TN) is mainly consisted by dissolved nitrogen (DN); 3) In a certain extent, the river is polluted by domestic sewage and industrial wastewater or livestock drainage; 4) It is feasible for Artificial neural network (ANN) to be used in river water quality forecasting.
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页码：400 / 05
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