A fast method to evaluate water eutrophication
文献类型：期刊论文
| 作者 | Yan Hu-yong1; Wang Guo-yin1; Zhang Xue-rui1 ; Dong Jian-hua1; Shan Kun1; Wu Di1; Huang Yu1; Zhou Bo-tian1; Su Yu-ting2
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| 刊名 | JOURNAL OF CENTRAL SOUTH UNIVERSITY
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| 出版日期 | 2016-12-01 |
| 卷号 | 23期号:12页码:3204-3216 |
| ISSN号 | 2095-2899 |
| 关键词 | rough set theory petri nets eutrophication |
| DOI | 10.1007/s11771-016-3386-4 |
| 通讯作者 | Wang, GY (reprint author), Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Big Data Min & Applicat Ctr, Chongqing 400714, Peoples R China. |
| 英文摘要 | Water eutrophication has become a worldwide environmental problem in recent years. Once a water body is eutrophicated, it will lose its primary functions and subsequently influence sustainable development of society and economy. Therefore, analysis of eutrophication becomes one of the most essential issues at present. With the ability to deal with vague and uncertain information, and express knowledge in a rule form, the rough set theory (RST) has been widely applied in diverse domains. The advantage of RST is that it can compress the rule and remove needless features by reduction inference rule. By this way, the rule gets effectively simplified and inference efficiency gets improved. However, if data amount is relatively big, it could be a process with large calculated amount to search rules by looking up tables. Petri nets (PNs) possesses so powerful parallel reasoning ability that inference result could be obtained rapidly merely by simple matrix manipulation with no need for searching rules by looking up tables. In this work, an integrated RPN model combining RST with PN was used to analyze relations between degrees of water eutrophication level and influence factors in the Pengxi River of Three Gorges Reservoir. It was shown that the RPN model could analyze water eutrophicaion accurately and quickly, and yield decision rules for the decision-makers at water purification plants of the water quality and assist them in making more cost-effective decisions. |
| 资助项目 | National Scientific and Technological Major Project of China[2014ZX07104-006] |
| WOS研究方向 | Metallurgy & Metallurgical Engineering |
| 语种 | 英语 |
| 出版者 | JOURNAL OF CENTRAL SOUTH UNIV TECHNOLOGY |
| WOS记录号 | WOS:000393590600019 |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/3342]  |
| 专题 | 大数据挖掘及应用中心 太赫兹技术研究中心 |
| 通讯作者 | Wang Guo-yin |
| 作者单位 | 1.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Big Data Min & Applicat Ctr, Chongqing 400714, Peoples R China 2.Northeast Petr Univ, Sch Comp & Informat Technol, Daqing 163318, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yan Hu-yong,Wang Guo-yin,Zhang Xue-rui,et al. A fast method to evaluate water eutrophication[J]. JOURNAL OF CENTRAL SOUTH UNIVERSITY,2016,23(12):3204-3216. |
| APA | Yan Hu-yong.,Wang Guo-yin.,Zhang Xue-rui.,Dong Jian-hua.,Shan Kun.,...&Su Yu-ting.(2016).A fast method to evaluate water eutrophication.JOURNAL OF CENTRAL SOUTH UNIVERSITY,23(12),3204-3216. |
| MLA | Yan Hu-yong,et al."A fast method to evaluate water eutrophication".JOURNAL OF CENTRAL SOUTH UNIVERSITY 23.12(2016):3204-3216. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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