Water eutrophication evaluation based on rough set and petri nets: A case study in Xiangxi-River,Three Gorges Reservoir |
| |
| Institution: | 1. Institute of Information Technology and Management, Gwalior 474001, India;2. Graduate School of Green Energy Technology, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 305-764, Republic of Korea;3. Clean Fuel Department, Korea Institute of Energy Research, 71-2 Jang-dong, Yuseong-gu, Daejeon 305-343, Republic of Korea;4. School of Studies in Chemistry, Jiwaji University, Gwalior, India;1. College of Environment, Hohai University, Nanjing 210098, China;2. Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, Hohai University, Nanjing 210098, China;1. School of Marine Sciences, Ningbo University, Ningbo, 315211, China;2. Collaborative Innovation Center for Zhejiang Marine High-Efficiency and Healthy Aquaculture, Ningbo, 315211, China;3. Department of Marine Sciences, Ocean College, Zhejiang University, Hangzhou, 310058, China;4. Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, CAS, Beijing, 100085, China;1. College of Marine Science and Technology, China University of Geosciences (Wuhan), No. 388 Lumo Road, Wuhan 430074, China;2. Changjiang River Scientific Research Institute, No.23 Huangpu Road, Wuhan 430010, China;3. National Inland Waterway Regulation Engineering Research Center, Chongqing Jiaotong University, Chongqing 400074, China |
| |
| Abstract: | After impoundment of the Three Gorges Reservoir (TGR), the water area of Xiangxi River becomes a typical area of reservoir tributaries where eutrophication develops and water bloom occurs. In order to assess the eutrophication status in Xiangxi River faster and more accurate, an integrated model (RSPN) for eutrophication assessment based on eleven monitoring sections samples in Xiangxi River from 2015 to 2016, which integrates rough set theory (RST) and petri nets (PN), is presented. Firstly, RST was employed to remove redundant eutrophication features and simple eutrophication information, so that the minimal eutrophication assessment rules can be obtained and the eutrophication rank was roughly assessed. Secondly, the PN structure was built and the eutrophication rank was completely realized through matrix operation of PN. Finally, comparison using RSPN and other classical classification algorithms was performed. The results reveal that the RSPN model can accurately and efficiently analyze the relation between condition indicators and variations of eutrophication degree. Therefore, the RSPN model is a promising alternative method to develop a water eutrophication information system and offers decision rules base for the utility management as well as operations staff. |
| |
| Keywords: | Xiangxi River Rough set theory Petri nets Eutrophication |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
