Water Quality Prediction of Moshui River in China Based on BP Neural Network

Q. Miao, Hui Yuan, Changfei Shao, Zhiqiang Liu
{"title":"Water Quality Prediction of Moshui River in China Based on BP Neural Network","authors":"Q. Miao, Hui Yuan, Changfei Shao, Zhiqiang Liu","doi":"10.1109/CINC.2009.176","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":173506,"journal":{"name":"2009 International Conference on Computational Intelligence and Natural Computing","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Computational Intelligence and Natural Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CINC.2009.176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于BP神经网络的中国漠水河水质预测
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Edge Detection Algorithm for Uneven Lighting Image Based on Vision Theory Independent Global Constraints Web Service Composition Optimization Based on Color Petri Net Summarization for Internet News Based on Clustering Algorithm Some Characterizations about 4-band Symmetric Cardinal Orthogonal Scaling Function Nutritional Diet Decision Using Multi-objective Difference Evolutionary Algorithm
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1