scholarly journals Analysis of the ultimate water resources carrying capacity in Yancheng, China

Author(s):  
Zengchuan Dong ◽  
Guang Yang ◽  
Shengnan Feng ◽  
Jiayi Ma ◽  
Bing Li

Abstract Unreasonable development and utilization of resources has caused serious environmental problems, especially water shortage and water pollution. Determining the largest population size and economic scale that water resources can support without destroying the ecological environment in a region, that is, ultimate water resources carrying capacity (UWRCC) helps to realize the sustainable utilization of water resources. UWRCC is a variable value which is easily affected by natural conditions, technical level and economic status. This study proposes a UWRCC research method that combines multi-objective optimization and scenario analysis. This method draws the diagram of UWRCC result sets based on multi-scenario UWRCC calculation, through which UWRCC values under different specific technical and economic levels are easily and quickly obtained. This method has been applied to Yancheng in this study and the quantitative relationship between technical level, economic level and UWRCC of Yancheng is analyzed. Taking Yancheng as the research area, this study analyzes the quantitative relationship between the technical level, economic level and UWRCC of Yancheng. The results show that according to the existing government planning, Yancheng's water resources will be sufficient to support the development of socioeconomic. But the districts of Yandu, Tinghu, and Binghai will experience population and gross domestic product overloading in future years. In addition, the diagram of the UWRCC sets of Yancheng is obtained and it provides a reference for the local water resources management.

2016 ◽  
Vol 11 (4) ◽  
pp. 796-805 ◽  
Author(s):  
Li Bo ◽  
Wu Qiang ◽  
Chen Li-xia

The uneven temporal and spatial distributions and the unreasonable development and utilization of water resources have caused increasingly severe water resources shortage around the world. Studying on regional water carrying capacity is beneficial for the optimal management of water resources, and can provide assistance for the sustainable utilization of water resources. The typical karst area in China – Guizhou province was applied as the research area in the paper. Meanwhile, twelve indexes were selected from three perspectives including water supply, water demand and social economy to establish the evaluation index system of regional water carrying capacity. Afterwards, the analysis hierarchy process was utilized to construct the evaluation model of regional water resources carrying capacity, so as to evaluate, compare and analyze the regional water carrying capacity in each city of Guizhou province, China. This model verified the feasibility of the evaluation method. Relevant studies can provide certain theory evidence and method support for the investigation on regional water carrying capacity.


2014 ◽  
Vol 14 (6) ◽  
pp. 1057-1066 ◽  
Author(s):  
Ying Xie ◽  
Xuyong Li ◽  
Chunsheng Yang ◽  
Yang Yu

Water shortage is a major problem in northern China, because of a huge population and rapid economic growth. Taking the Luanhe River Basin (LRB) as a study area, we set up a System Dynamics (SD) model of the basin for the period 2005–2010, and considered various important socioeconomic and environmental factors and their correlation. Significant trends for the period 2011–2030 were simulated and the water resource carrying capacity (WRCC) of the LRB and its trends over the next 30 years were analyzed. The results indicate a decreasing trend of WRCC in the basin and that current economic growth is not sustainable. The study investigated possible optimized allocation projects. The most apt project would involve a combination of strategies that could considerably increase the WRCC, reduce demand, and improve water quality.


2015 ◽  
Vol 1092-1093 ◽  
pp. 1202-1208
Author(s):  
Ming Xia Jing

This paper predicted HuangShui River carrying capacity level of environmental resources at the end of the "twelfth five-year" period and even longer, based on the economic and social development in the base year 2011 data, to provide reference for the development of various government related department reference.


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