Analysis of the Spatial Variation and Identification of Factors Affecting the Water Resources Carrying Capacity Based on the Cloud Model

2018 ◽  
Vol 32 (8) ◽  
pp. 2767-2781 ◽  
Author(s):  
K. Cheng ◽  
Q. Fu ◽  
J. Meng ◽  
T. X. Li ◽  
W. Pei
Keyword(s):  
Water Resources ◽  
Spatial Variation ◽  
Carrying Capacity ◽  
Cloud Model ◽  
Factors Affecting ◽  
Water Resources Carrying Capacity

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

Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2573
Author(s):  
Longjun Zhu ◽  
Xinchen Li ◽  
Yiran Bai ◽  
Tailai Yi ◽  
Liqiang Yao
Keyword(s):  
Water Resources ◽  
Carrying Capacity ◽  
Cloud Model ◽  
Water Storage ◽  
Hubei Province ◽  
Economic Activities ◽  
Reservoir Water ◽  
Factors Affecting ◽  
Hydroelectric Energy ◽  
Water Resources Carrying Capacity

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.

scholarly journals Water Carrying Capacity Evaluation Method Based on Cloud Model Theory and an Evidential Reasoning Approach

Mathematics ◽  
2022 ◽  
Vol 10 (2) ◽  
pp. 266
Author(s):  
Wenzhi Cao ◽  
Jilin Deng ◽  
Yi Yang ◽  
Yangyan Zeng ◽  
Limei Liu
Keyword(s):  
Water Resources ◽  
Model Theory ◽  
Carrying Capacity ◽  
Cloud Model ◽  
Evidential Reasoning ◽  
Hunan Province ◽  
Evaluation Index ◽  
Water Resources Carrying Capacity ◽  
Evidential Reasoning Approach ◽  
Cloud Model Theory

The scientific and reasonable evaluation of the carrying capacity of water resources is of guiding significance for solving the issues of water resource shortages and pollution control. It is also an important method for realizing the sustainable development of water resources. Aiming at an evaluation of the carrying capacity of water resources, an evaluation model based on the cloud model theory and evidential reasoning approach is studied. First, based on the existing indicators, a water resources evaluation index system based on the pressure-state-response (PSR) model is constructed, and a classification method of carrying capacity grade is designed. The cloud model theory is used to realize the transformation between the measured value of indicators and the degree of correlation. Second, to obtain the weight of the evaluation index, the weight method of the index weights model based on the entropy weight method and evidential reasoning approach is proposed. Then, the reliability distribution function of the evaluation index and the graded probability distribution of the carrying capacity of water resources are obtained by an evidential reasoning approach. Finally, the evaluation method of the carrying capacity of water resources is constructed, and specific steps are provided. The proposed method is applied to the evaluation of water resources carrying capacity for Hunan Province, which verifies the feasibility and effectiveness of the method proposed in the present study. This paper applies this method of the evaluation of the water resources carrying capacity of Hunan Province from 2010 to 2019. It is concluded that the water resources carrying capacity of Hunan Province belongs to III~V, which is between the critical state and the strong carrying capacity state. The carrying capacity of the province’s water resources is basically on the rise. This shows that the carrying capacity of water resources in Hunan Province is in good condition, and corresponding protective measures should be taken to continue the current state.

scholarly journals A Novel Hybrid Approach for Water Resources Carrying Capacity Assessment by Integrating Fuzzy Comprehensive Evaluation and Analytical Hierarchy Process Methods with the Cloud Model

Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3241
Author(s):  
Bo Ren ◽  
Qiuwen Zhang ◽  
Juanhui Ren ◽  
Song Ye ◽  
Fei Yan
Keyword(s):  
Water Resources ◽  
Analytical Hierarchy Process ◽  
Carrying Capacity ◽  
Comprehensive Evaluation ◽  
Cloud Model ◽  
Hybrid Approach ◽  
Fuzzy Comprehensive Evaluation ◽  
Indicator System ◽  
Water Resources Carrying Capacity ◽  
Hierarchy Process

The water resources carrying capacity (WRCC) shows remarkable fuzziness and randomness, which causes the uncertainty and instability of the WRCC assessment (WRCCA). In order to solve these problems, we proposed a novel hybrid approach for WRCCA, in which the fuzzy comprehensive evaluation (FCE) and analytical hierarchy process (AHP) methods were integrated with the cloud model (CM). Firstly, an evaluation indicator system of WRCC was constructed. Secondly, the AHP and FCE methods were subsequently improved with the CM. The CM was used to scale the relative importance and aggregate the judgment matrices, where the weights of the clouds were obtained. These integrations of AHP and CM greatly reduced the randomness in the weight calculation; the CM was used to describe the comment sets, calculate the membership degree matrices and determine the assignment clouds, the evaluation sets and the WRCCA index clouds were obtained. These integrations of FCE and CM effectively blurred the boundary fuzziness and gave more intuitive results. Finally, the hybrid FCE-AHP-CM approach was applied to a case study. It was concluded that the novel approach has particular advantages in dealing with the fuzziness and randomness comprehensively, and therefore could assess the WRCC and enhance the robustness and intuition of WRCCA results.

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.

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