scholarly journals Quantification of eco-compensations based on a bidirectional compensation scheme in a water environment: a case study in the Jiangsu Province, China

Water Policy ◽  
2019 ◽  
Vol 21 (6) ◽  
pp. 1162-1174 ◽  
Author(s):  
Jianjian Wang ◽  
Jie Zhou ◽  
Qiaohua Zhao ◽  
Hong Jiang ◽  
Zixuan Wang

Abstract This study delineates adjustments to the eco-compensation pilot work of the Taihu Lake Basin and the Huaihe River Basin. The number and location of original compensation sites were adjusted based on the characteristics of the river network and of the water pollution status. A bidirectional eco-compensation system based on water quality exceeding multiple was then implemented. Under this scheme, the eco-compensation payments of each city under three different compensation standards were calculated. A suitable unified short-term compensation standard for the whole province is determined among several compensation payment schemes. The results obtained after implementing the most relevant scheme reveal that (1) the bidirectional eco-compensation system is highly flexible and is viable economically, as the payment of fiscal expenditures used to pay eco-compensation is reasonable. (2) In the southern Jiangsu Province, the ratio of pollutant flux at each compensation site to the total regional flux is relatively high and may, therefore, accurately reflect the water quality condition of the main rivers flowing into the Taihu Lake. (3) The ratio of pollutant flux in the northern Jiangsu Province is low, which highlights the need for further improving the number and location of eco-compensation sites, as well as the compensation methods and standards.

Author(s):  
Huang ◽  
Zhang ◽  
Tong

The water quality target management of the control unit is a convenient and direct technology for water environment management and the development direction of water environment management in China, involving control unit division and water environment capacity calculation. Taking the Taihu Lake Basin in Jiangsu Province as an example, we propose herein the basic principle of the division of a regional control unit in a plain river network and the method of analyzing the rationality of the control unit division. On this basis, the Taihu Lake Basin in Jiangsu Province was divided into 70 control units. To calculate the water environmental capacity in the plain river network area, we established a water environmental capacity calculation framework based on multiple targets of lakes and rivers, and proposed the goal of water quality "double compliance" of the water environmental functional zone and the assessment section. For this study, we calculated the regional water environmental capacity using the mathematical model of the Taihu Lake Basin’s water environmental capacity, and the water environmental capacities of the 70 control units were allocated by the weight coefficient method, which established water area and functional division length. The research results described herein were applied to the pollution permit management of the Taihu Lake Basin in Jiangsu Province. It provides important technical support for the establishment of a pollution permit system based on the total capacity to improve environmental quality.


Water ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 3127
Author(s):  
Wei Ye ◽  
Wei Song ◽  
Chen-Feng Cui ◽  
Jia-Hao Wen

In response to the problems of large computational volume and tedious computational process of fuzzy integrated evaluation, and general neural network models without clear water quality training criteria, this paper organically combines fuzzy rules, affiliation function, and neural network, and proposes a comprehensive method for the evaluation of water quality based on a T-S fuzzy neural network. On the three water quality monitoring data of six national key monitoring stations in Taihu Lake Basin, three evaluation methods—the one-factor evaluation method, the fuzzy integrated evaluation method, and the T-S fuzzy neural network evaluation method—were used to comprehensively evaluate water environment quality, and the results showed that the T-S fuzzy neural network method has the advantages of convenient calculation, strong applicability, and scientific results.


2013 ◽  
Vol 23 (2) ◽  
pp. 203-215 ◽  
Author(s):  
Haixia Zhao ◽  
Bensheng You ◽  
Xuejun Duan ◽  
Stewart Becky ◽  
Xiaowei Jiang

2011 ◽  
Vol 356-360 ◽  
pp. 924-928 ◽  
Author(s):  
Chun Fen Zeng ◽  
La Chun Wang ◽  
Wen Yu Huang ◽  
Wei Wang

Taihu Lake basin is a typical water shortage area for water quality problem in China. Studying the influencing water environment factors in this area provides a scientific basis to propose effective pollution water control. This article selects lakes in the western basin as the study area which has the largest contribution to the pollution in Taihu Lake. Influencing factors of water pollution of Tianmuhu Lake and Gehu Lake have been analyzed based on principal component analysis of SPSS, to study the major influencing factors of water environment. The results show that the major influencing factors of water environment in Taihu Lake is dissolved oxygen, water turbidity, and water N, P and other nutrient elements, and the water environment nutrients is much influenced by the N element. While the major influencing factors of water environment in Gehu Lake is P nutrition elements, physical and chemical factors and nutrients such as N and P element, and P elements are seriously polluted. Thus, the corresponding countermeasures should be forward according to different water characteristics during the process of water Pollution Control at the basin.


2012 ◽  
Vol 32 (16) ◽  
pp. 5043-5053 ◽  
Author(s):  
周文 ZHOU Wen ◽  
刘茂松 LIU Maosong ◽  
徐驰 XU Chi ◽  
何舸 HE Ge ◽  
王磊 WANG Lei ◽  
...  

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