水土保持通报2018，Vol.38Issue(1)：264-269,6.DOI:10.13961/j.cnki.stbctb.2018.01.046
基于综合营养状态指数和BP神经网络的黑河富营养化评价
Eutrophication Evaluation of Heihe River Based on Comprehensive Trophic State Index Method and BP Neural Network
摘要
Abstract
[Objective] To evaluate the current eutrophication state and provide basic data and theoretical support for the pollution control in Heihe River basin.[Methods] The total nitrogen (TN),total phosphorus (TP),permanganate index (CODMn),chlorophyll a (Chl.a),transparency (SD) were selected as indexes for water quality evaluation,and the comprehensive trophic state index and BP neural network were used to evaluate the eutrophication of Heihe River basin.[Results] The eutrophication status of Heihe River basin was mainly in medium level of nutrition.The nutrition status index of Yeniugou and Zhangye wetland were close to mild eutrophication.The eutrophication status of East Juyanhai Lake was severe and the total nitrogen index was high.The water environment of East Juyanhai Lake should be protected in time.[Conclusion] Compared to the comprehensive trophic state index method,the evaluation results of BP neural network are closer to the actual situation,and more objective and reliable.关键词
黑河流域/综合营养状态指数法/BP神经网络/富营养化评价Key words
Heihe River basin/comprehensive nutrition state index method/BP neural network/eutrophication evaluation分类
资源环境引用本文复制引用
鲍广强,尹亮,余金龙,刘畅,邱小琮..基于综合营养状态指数和BP神经网络的黑河富营养化评价[J].水土保持通报,2018,38(1):264-269,6.基金项目
国家水体污染控制与治理科技重大专项“重点流域水生态功能三级四级分区”(2012ZX07501-002-05) （2012ZX07501-002-05）
