scholarly journals Conception and evaluation methodology of water resources carrying capacity based on three-level analysis

2020 ◽  
Vol 20 (6) ◽  
pp. 2359-2374
Author(s):  
Pengfei Lin ◽  
Jinjun You ◽  
Lin Wang ◽  
Ling Jia ◽  
Hong Gan ◽  
...  
Keyword(s):  
Water Resources ◽  
Carrying Capacity ◽  
Evaluation Methodology ◽  
Water Efficiency ◽  
Water Resources Systems ◽  
Shiyang River Basin ◽  
Water Resources Carrying Capacity ◽  
Rigid Constraint ◽  
System Water ◽  
Level Analysis

Abstract In supply-oriented water development, water is a rigid constraint on sustainable development in many parts of the world, especially in arid and semi-arid areas. The water resources carrying capacity (WRCC) concept represents the maximum socio-economic scale that can be supported by water exploitation without causing an irreversible impact on the ecosystem. In this paper, three-level framework is put forward to illustrate and quantitatively evaluate the WRCC. The first level is the principal body, which focuses on the study of water resources systems. The second level is the carried object, including the socio-economic system, water ecological system, and environment system. The third level is the coupling of the principal body and carried object to calculate the WRCC. This three-level WRCC model was applied to the load conditions of the Shiyang River Basin (SRB). The results show that the SRB is overloaded, and only 1.99 million people can be carried at the modern carrying level. The WRCC could be increased by optimizing industrial structures and improving water efficiency. This method provides a tool to help policymakers develop sustainable approaches to environmental management and planning.

scholarly journals A Three-Stage Hybrid Model for Space-Time Analysis of Water Resources Carrying Capacity: A Case Study of Jilin Province, China

Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 426 ◽  
Author(s):  
Tong Liu ◽  
Xiaohua Yang ◽  
Leihua Geng ◽  
Boyang Sun
Keyword(s):  
Economic Development ◽  
Water Resources ◽  
Carrying Capacity ◽  
Water Demand ◽  
Water Transfer ◽  
Jilin Province ◽  
Development Pattern ◽  
Industrial Water ◽  
Water Efficiency ◽  
Water Resources Carrying Capacity

Water shortage, water pollution, shrinking water area and water mobility are the main contents of the water resources crisis, which are widespread in the social and economic development of Jilin Province. In this paper, a three-stage hybrid model integrating evaluation, prediction and regulation is constructed by combining the load-balance method and the system dynamics method. Using this model, the current states of water resources carrying capacity (WRCC) in 2017 and the trend of water demand/available from 2018 to 2030 were obtained. Using the orthogonal test method, the optimal combination program of agricultural and industrial water efficiency regulation and water resources allocation was selected. The results show that the pressure of the human–water resources system in Changchun, Liaoyuan and Baicheng is greater than the support, and the other six cities are not overloaded. The water demand in Jilin Province and its nine cities will increase from 2018 to 2030, if the current socio-economic development pattern is maintained. Therefore, we change the water quantity carrying capacity index by controlling agriculture, industrial water efficiency and trans-regional water transfer. Compared with 2015, among the optimal program obtained, the change range of the water use per 10,000 RMB of agricultural output is (−5%, 25%), and the water use per 10,000 RMB of industrial added value is (−45%, −35%), and the maximum water transfer is 1.5 billion m3 per year in 2030. This study analyzes the development pattern of WRCC in the process of water conservancy modernization in Jilin Province and provides reference for other provinces to make the similar plan.

Water Resources Carrying Capacity Analysis of Huangshui River during the Period of the Twelfth Five-Year Plan

2015 ◽  
Vol 1092-1093 ◽  
pp. 1202-1208
Author(s):  
Ming Xia Jing
Keyword(s):  
Water Resources ◽  
Social Development ◽  
Carrying Capacity ◽  
Capacity Analysis ◽  
Environmental Resources ◽  
Water Resources Carrying Capacity ◽  
Capacity Level

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.

Study on Water Resources Efficiency with the Regional Water Resources Carrying Capacity into Consideration

2018 ◽  
Vol 06 (04) ◽  
pp. 1850023 ◽  
Author(s):  
Xifeng WANG
Keyword(s):  
Water Resources ◽  
Carrying Capacity ◽  
High Water ◽  
Coastal Regions ◽  
Coordinated Development ◽  
Policy Makers ◽  
Water Resources Carrying Capacity ◽  
Decision Making Unit ◽  
High Level ◽  
Regional Water

Most of the existing studies on regional water resources efficiency only consider the total regional water use while ignoring the regional endowment. Therefore, it is essential to introduce the water resources carrying capacity into the study. Given that data envelopment analysis (DEA) cannot compare the time series of a single decision-making unit, we employ the DEA-window analysis to study China’s water resources efficiency during 2005–2012 with the regional carrying capacity being considered, and analyze the spatiotemporal evolution. The study shows that such efficiency has increased from 0.71 in 2005 to 0.79 in 2012. High water resources efficiency is observed in Liaoning, Tibet, Yunnan, Beijing, Tianjin, Shanghai, Jiangsu, Zhejiang, Guangdong and Sichuan, where the output levels and utilization ratios of water resources are positively correlated. Low water resources efficiency is observed in Henan, Shaanxi, Gansu, Ningxia and Xinjiang which feature high-level utilization and low carrying capacity of water resources. As for regional water resources efficiency, eastern and southern coastal regions rank first, followed by Northeast China and northern coastal regions, southwest and northwest regions of China and lastly the middle reaches of the Yellow and Yangtze Rivers. Therefore, policy-makers should not only accord the regional development with carrying capacity, but also enhance cross-regional industrial cooperation for coordinated development.

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