Evaluation of Water Resources Carrying Capacity and Its Obstruction Factor Analysis: A Case Study of Hubei Province, China

Abstract

The carrying capacity of water resources can provide a reference index for regional economic construction and development. Hubei produces 13.2% of China’s hydroelectric energy and 4% of China’s water resources, highlighting that the reservoir group in Hubei province is relatively developed. In the current research on water resources carrying capacity, only the amount of water resources was considered; the benign mutual feeding effect of regional reservoirs on regional water resources carrying capacity was not reflected upon. In order to guide social and economic activities better, this paper proposes the addition of reservoir water storage to the calculation of water resources carrying capacity as a separate indicator. In this paper, the cloud model method was used to calculate the water resources carrying capacity of Hubei province and the Dematel method was used to determine the degree of importance of reservoir water storage. Finally, the degree of obstacles was also considered to discuss the main factors affecting the water resources carrying capacity of Hubei province. In the system discussed in this paper, the degree of influence and the affected degree of reservoir water storage were found to be 1.2915 and 0.5759, respectively. The calculation results showed that Hubei province’s water resources carrying capacity has been increasing every year and the amount of water resources per unit area was the main restricting factor, with the obstacle degree reaching 19.24% of the average annual level.

A bibliometric analysis and review of water resources carrying capacity using rené descartes’s discourse theory

“…After nearly 30 years of exploration and development, a large number of scientific research results have been discovered in the research of WRCC which has increasingly become a hot issue in regional water resources management. Early researches on WRCC mostly focused on cities (Yue et al, 2015;Dai et al, 2019;Yang et al, 2019), provinces (Huang et al, 2014;Yang and Ding, 2018;Deng et al, 2019;Zhu et al, 2019) and river basins (Yang et al, 2010;Wu et al, 2018a;Meng et al, 2018;Wang et al, 2018;Kang et al, 2019). With the continuous deepening of research on WRCC, especially in recent years, its research objects have also changed.…”

The gap of water supply—Demand and its driving factors: From water footprint view in Huaihe River Basin

“…It is a "bottleneck" index to measure whether the water resources shortage area can support the coordinated development of population, economy and environment. At some extent this index could reflect the water resources supply of one area [ 27 , 28 ]. Therefore, we use the water ecological carrying capacity represents the supply of water resources.…”

“…Fresh water resources only account for 2.5% of the total water resources. Of these remaining freshwater of one area [27,28]. Therefore, we use the water ecological carrying capacity represents the supply of water resources.…”

A prediction method of regional water resources carrying capacity based on artificial neural network

“…The research on water resources carrying capacity can be used as a tool to judge whether the regional water resources supply and social development are in a coordinated state, and also can provide certain reference for scientific management of water resources (Chenini et al, 2019). Zhu et al (2019) proposed to increase the water storage capacity of the reservoir as a separate index, used a cloud model to calculate the water resources carrying capacity of Hubei Province, and used the Dematel method to determine the importance of reservoir water storage. Finally, the degree of obstacles was considered to explore the main factors affecting the water resources carrying capacity of Hubei Province.…”