scholarly journals Study on Optimization of Water Pollutant Tax in Inner Mongolia Under the Constraint of Water Environmental Carrying Capacity

2020 ◽  
Author(s):  
Xinjiletu Yang ◽  
Wenzheng Wang ◽  
Weihong Han ◽  
Yanli Yang
Keyword(s):  
Carrying Capacity ◽  
Inner Mongolia ◽  
Environmental Carrying Capacity ◽  
Water Pollutant ◽  
Water Environmental Carrying Capacity

scholarly journals Allocating total emission pollutant control based on water environmental carrying capacity: model establishment and case study

Water Policy ◽  
2019 ◽  
Vol 21 (6) ◽  
pp. 1175-1192
Author(s):  
Hui Bai ◽  
Wei Gao ◽  
Dong Wang ◽  
Yan Chen ◽  
Huanzhen Zhang ◽  
...  
Keyword(s):  
Water Quality ◽  
Carrying Capacity ◽  
Point Sources ◽  
Pollutant Emission ◽  
Total Emission ◽  
Allocation Model ◽  
Cod Reduction ◽  
Environmental Carrying Capacity ◽  
Water Pollutant ◽  
Water Environmental Carrying Capacity

Abstract The determination of the total amount of water pollutant emission in different regions is a difficult problem faced by managers and researchers. Previous studies mostly focused on operability and fairness with little attention paid to local water quality. In order to make total emission pollutant control (TEPC) truly serve the improvement of water quality, a water total emission pollutant allocation model was built based on water environmental carrying capacity (WECC) in this paper. This model was used to construct a water pollutant emission control allocation scheme for 28 cities in Henan Province, China. The results showed that the chemical oxygen demand (COD) reduction rates for these cities ranged from 16.8 to 38.6% and ammonia-nitrogen (NH3-N) reduction rates ranged from 5.7 to 43.5% in 2020, which were different from the previous targets for these cities without considering their current status of water quality. The largest COD reduction rates for different types of point sources (industrial, urban, and large-scale livestock sources) were 35.4%, 39.0%, and 38.0%, respectively, and the largest NH3-N reduction rates were 62.2%, 42.5%, and 43.5%, respectively. This study solves the problem of long-term disconnection between TEPC and water quality improvement in China. The results can also be applied to implement the TEPC to improve water quality in other regions with a similar problem.

Optimization of industrial structure based on water environmental carrying capacity in Tieling City

2015 ◽  
Vol 71 (8) ◽  
pp. 1255-1262 ◽  
Author(s):  
Qiang Yue ◽  
Limin Hou ◽  
Tong Wang ◽  
Liusuo Wang ◽  
Yue Zhu ◽  
...  
Keyword(s):  
Carrying Capacity ◽  
Industrial Structure ◽  
Optimal Solution ◽  
Policy Recommendations ◽  
Environmental Carrying Capacity ◽  
Social And Economic Development ◽  
Scientific Decision ◽  
City Policy ◽  
Economic Development Model ◽  
Water Environmental Carrying Capacity

A system dynamics optimization model of the industrial structure of Tieling City based on water environmental carrying capacity has been established. This system is divided into the following subsystems: water resources, economics, population, contaminants, and agriculture and husbandry. Three schemes were designed to simulate the model from 2011 to 2020, and these schemes were compared to obtain an optimal social and economic development model in Tieling City. Policy recommendations on industrial structure optimization based on the optimal solution provide scientific decision-making advice to develop a strong and sustainable economy in Tieling.

Study on Tieling City's water environmental carrying capacity

2015 ◽  
Vol 16 (1) ◽  
pp. 52-60 ◽  
Author(s):  
Limin Hou ◽  
Qiang Yue ◽  
Xiangzheng Hu ◽  
Tong Wang ◽  
Liusuo Wang ◽  
...  
Keyword(s):  
Water Quality ◽  
Economic Development ◽  
Carrying Capacity ◽  
Oxygen Demand ◽  
Quality Data ◽  
Quality Model ◽  
Water Quality Data ◽  
Environmental Carrying Capacity ◽  
Definition Of ◽  
Water Environmental Carrying Capacity

The water environmental carrying capacity (WECC) of a city can demonstrate a balance between the level of exploitation of the local water resources and the population growth and concomitant socio-economic development. To begin with, the definition of WECC was elaborated. Combined with hydraulic, hydrologic and water quality data, a one-dimensional water quality model was subsequently applied to simulate the water pollutants (chemical oxygen demand (COD)) in Tieling City. Then, a multi-objective model was applied to explore WECC. Economy, demography, and contaminant were selected as goals, taking into account the constraints of macroeconomic aggregates, water supply, water quality, and population. The results showed WECC could nearly carry all planned gross domestic product (GDP), population in the planning years 2015, 2020, and 2025 with the maximum COD of 30,681.7 t, but not for the condition of maximum COD of 15,709.0 t. That is, COD overload would occur if GDP and population develop as planned. Some measures must be taken to improve WECC in Tieling City, which are valuable for supporting the adjustment and planning for social-economic development.

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