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 ◽  
...  

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.

2014 ◽  
Vol 584-586 ◽  
pp. 487-492
Author(s):  
Shuai Zhong Wang ◽  
Qing Qing Liu ◽  
Chang Cao

With the use of statistical methods processing the data,we measure and analysis the quantify environmental carrying capacity of Qujiang new District basing on constraints of control indicators, adjust the industrial structure and layout of their productivity, development and utilization of social and economic development goals, and resources on the development of proposed scientific, rational, innovative proposals and implement measures to prevent over-exploitation of resources and the environment, and promoting sustainable development in the region. Provide reference, help for the continued development of high-tech zones, technology parks and other areas in the southern suburbs of Xi'an, creating livable, prosperous Xi'an.


2013 ◽  
Vol 12 (7) ◽  
pp. 1481-1486 ◽  
Author(s):  
Ya-ni Geng ◽  
Jun Zhang ◽  
Qi Zhou ◽  
Ya-qian Zhao

2015 ◽  
Vol 16 (1) ◽  
pp. 52-60 ◽  
Author(s):  
Limin Hou ◽  
Qiang Yue ◽  
Xiangzheng Hu ◽  
Tong Wang ◽  
Liusuo Wang ◽  
...  

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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