会议论文详细信息
2017 International Conference on Environmental and Energy Engineering | |
Application of Entropy Method in River Health Evaluation Based on Aquatic Ecological Function Regionalization | |
生态环境科学;能源学 | |
Shi, Yan-Ting^1 ; Liu, Jie^1 ; Wang, Peng^1,2 ; Zhang, Xu-Nuo^1 ; Wang, Jun-Qiang^1 ; Guo, Liang^1,2 | |
School of Municipal and Environmental Engineering, Harbin Institute of Technology, Harbin | |
150090, China^1 | |
State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin | |
150090, China^2 | |
关键词: Agricultural productions; Biodiversity conservation; Ecological functions; Entropy weight method; Evaluation methods; Habitat maintenance; Monitoring and evaluations; Water environments; | |
Others : https://iopscience.iop.org/article/10.1088/1755-1315/63/1/012046/pdf DOI : 10.1088/1755-1315/63/1/012046 |
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学科分类:环境科学(综合) | |
来源: IOP | |
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【 摘 要 】
With the implementation of water environment management in key basins in China, the monitoring and evaluation system of basins are in urgent need of innovation and upgrading. In view of the heavy workload of existing evaluation methods and the cumbersome calculation of multi-factor weighting method, the idea of using entroy method to assess river health based on aquatic ecological function regionalization was put forward. According to the monitoring data of songhua river in the year of 2011-2015, the entropy weight method was used to calculate the weight of 9 evaluation factors of 29 monitoring sections, and the river health assessment was carried out. In the study area, the river health status of the biodiversity conservation function area (4.111 point) was good, the water conservation function area (3.371 point), the habitat maintenance functional area (3.262 point), the agricultural production maintenance functional area (3.695 point) and the urban supporting functional area (3.399 point) was light pollution.【 预 览 】
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Application of Entropy Method in River Health Evaluation Based on Aquatic Ecological Function Regionalization | 492KB | ![]() |