Eutrophication Evaluation of Heihe River Based on Comprehensive Trophic State Index Method and BP Neural Network
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    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.

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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].水土保持通报英文版,2018,38(1):264-269

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History
  • Received:June 09,2017
  • Revised:July 28,2017
  • Adopted:
  • Online: March 08,2018
  • Published: