基于BP神经网络的尼尔基水库水质评价
Water Quality Evaluation Based on BP Neural Network in Nierji Reservoir
DOI: 10.12677/JWRR.2017.63029, PDF, HTML, XML,  被引量 下载: 1,731  浏览: 4,620  国家科技经费支持
作者: 张 正, 郑国臣：松辽流域水资源保护局，吉林 长春；秦 雨：松辽流域水资源保护局，吉林 长春；长春工程学院，吉林 长春；李 聪：松辽委水文局嫩江水文水资源中心，黑龙江 齐齐哈尔；王兆波：长春工程学院，吉林 长春
关键词: BP神经网络；水质综合评价；尼尔基水库；单因子评价；BP Neural Network； Comprehensive Evaluation of Water Quality； Nierji Reservoir； Single Factor Evaluation
摘要: 根据溶解氧、高锰酸盐指数、化学需氧量、氨氮、总氮、总磷的实测数据，本文基于BP神经网络对尼尔基水库水质进行了综合评价，评价结果表明：近年来水库水质介于IV至V类之间。水库库尾水质较库中和坝前水质略好，汛期水质与非汛期水质差别不大，介于IV至V类之间，水库水质污染问题尚未得到有效解决。BP神经网络综合评价方法相较于传统的单因子评价方法，评价结果更为客观、合理。
Abstract: According to the measured data of O2, KMnO4, COD, NH3-N, TN, TP, the BP neural network was used to evaluate the water quality of Nierji Reservoir in this paper, the results showed: in recent years, the water qua- lity of the reservoir was between IV to V. The water quality of the reservoir tail is slightly better than that of the reservoir and the dam, the water quality of the flood season and non-flood season are between IV to V, and the problem of reservoir water pollution has not been effectively solved. Compared with the tradi- tional single factor evaluation method, the result of BP neural network is more objective and reasonable.
文章引用：张正, 秦雨, 李聪, 王兆波, 郑国臣. 基于BP神经网络的尼尔基水库水质评价[J]. 水资源研究, 2017, 6(3): 247-253. https://doi.org/10.12677/JWRR.2017.63029

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