基于BP神经网络的中国漠水河水质预测

Q. Miao, Hui Yuan, Changfei Shao, Zhiqiang Liu
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引用次数: 3

摘要

胶州湾北部已经成为中国青岛市发展战略的重要区域,因为旧城区的发展空间已经饱和。漠水河将成为该地区的主要污染河流。利用神经网络建立了该河流排水口水质预测模型,对COD、氨氮和矿物油的浓度进行了预测。根据分析结果,分析了排放的有害影响,确定了该地区的污染接收能力,能够满足这些高新技术产业区建成后的污染总量控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Water Quality Prediction of Moshui River in China Based on BP Neural Network
The north of Jiaozhou Bay has become the important region for the development strategy of Qingdao in China, because the development space of the old city district gets saturated. The Moshui River will become the main contaminated river of this area. Neural network was used to build the water quality prediction model of the discharge outlet of the river to predict the concentration of COD, ammonia nitrogen and mineral oil. According to the result, the harmful effects of the emission can be analyzed and the pollution receiving ability of this area can be identified, which can meet the pollution gross control after the completion of these new and high-tech industry regions.
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