Spatial and temporal relation rule acquisition of eutrophication in Da'ning River based on rough set theory
文献类型：期刊论文
| 作者 | Yan, Hu Yong1; Zhang, Xue Rui1; Dong, Jian Hua1; Shang, Ming Sheng1; Shan, Kun1 ; Wu, Di1; Yuan, Ye1; Wang, Xu1,2; Meng, Hui1; Huang, Yu1
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| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2016-07-01 |
| 卷号 | 66页码:180-189 |
| 关键词 | Rough set Spatiotemporal relation Eutrophication Rule extraction |
| ISSN号 | 1470-160X |
| DOI | 10.1016/j.ecolind.2016.01.032 |
| 英文摘要 | Since the mechanisms of eutrophication are complicated and many other factors affect these mechanisms, methods such as quantitative statistics and numerical simulation, have their limitations in analyzing the spatiotemporal relations of eutrophication. The rough set theory (RST) was used to describe the spatiotemporal relations of eutrophication in Da'ning River without any of other prior knowledge. Rules of relations in time and space affecting eutrophication in the Da'ning River backwater area were extracted by taking representation of relations in time and space among eutrophication at a long river section of Da'ning River backwater area, by taking nine sets of encrypted monitoring data in 2003 as example, and by making season, area and eutrophication level as the decision attributes, respectively, to represent specific features of the eutrophication phenomenon in the Da'ning River backwater area from the points of view of time, space, and level by analysis of spatiotemporal relationship rules. This study result shows that the temporal and spatial differences between eutrophication phenomena in the long river section of the Da'ning River backwater area are significant. Eutrophication for each section is less serious in autumn, more in spring and most in summer. Eutrophication degree gradually decreases from estuary to upstream, which is in conformity with reality. The RST of eutrophication in Da'ning River may inform environmental decision-makers and assist them in making more cost-effective decisions. (C) 2016 Elsevier Ltd. All rights reserved. |
| 资助项目 | National Science and Technology Major Project[2014ZX07104-006] ; National Natural Science Foundation of China[61272060] ; Key Natural Science Foundation of Chongqing[CSTC2013jjB40003] |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000388912300018 |
| 出版者 | ELSEVIER SCIENCE BV |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/3174]  |
| 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, Big Data Min & Applicat Ctr, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China 2.Chongqing Univ Posts & Telecommun, Chongqing Key Lab Computat Intelligence, Chongqing 400065, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yan, Hu Yong,Zhang, Xue Rui,Dong, Jian Hua,et al. Spatial and temporal relation rule acquisition of eutrophication in Da'ning River based on rough set theory[J]. ECOLOGICAL INDICATORS,2016,66:180-189. |
| APA | Yan, Hu Yong.,Zhang, Xue Rui.,Dong, Jian Hua.,Shang, Ming Sheng.,Shan, Kun.,...&Wang, Guo Yin.(2016).Spatial and temporal relation rule acquisition of eutrophication in Da'ning River based on rough set theory.ECOLOGICAL INDICATORS,66,180-189. |
| MLA | Yan, Hu Yong,et al."Spatial and temporal relation rule acquisition of eutrophication in Da'ning River based on rough set theory".ECOLOGICAL INDICATORS 66(2016):180-189. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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