太阳成8722(中国)有限公司-GREEN NO.1

标题：Modelling the Effect of Weather Conditions on Cyanobacterial Bloom Outbreaks in Lake Dianchi:a Rough Decision-Adjusted Logistic Regression Model

作者：Yong Liu;Zhen Wang ;Huaicheng Guo;Shuxia Yu ;Hu Sheng

来源出版物：Environmental Modeling & Assessment卷：18期：2页：199-207出版年：April 2013

摘要：Lake Dianchi, one of the main water sources for Kunming, China, experiences severe cyanobacterial blooms due to rapid urbanization and local industrial development.Scientific interest in the mechanisms that cause blooms has been increasing. An integrated model combining rough set theory with binary logistic regression was used to examine the correlation between weather conditions and cyanobacterial blooms in LakeDianchibased on daily monitoring data. The binary logistic regression yielded quantitative correlations between cyanobacterial blooms and the assessed meteorological variables, including temperature, wind velocity, and wind direction. The rough decision process connected the weather conditions and cyanobacterial blooms, which were used to verify the binary regression model results. It was shown that by comparing the methods, the rough decision-adjusted binary.

文献类型：Article

语种：English

作者关键词：Weather condition,Cyanobacterial bloom,Rough set,Logistic regression,Lake Dianchi

通讯作者地址：Zhen Wang, School of Resource and Environmental Science, Hubei Biomass-Resource Chemistry and Environmental Biotechnology Key Laboratory, Wuhan University, Wuhan, China 430072

电子邮件地址：sinoo.WHU@gmail.com

地址：

[Yong Liu;Huaicheng Guo; Hu Sheng] College of Environmental Science and Engineering,PekingUniversity,Beijing,China100871

[Shuxia Yu] College of Resource and Environment, Huazhong Agricultural University,Wuhan,China430070

研究方向：Environmental Sciences

ISSN：1420-2026