Comprehensive evaluation of water-use efficiency in China’s Huai river basin using a cloud–compound fuzzy matter element–entropy combined model

Guan, Xin; Qin, Haidong; Yu, Mengxi; Wu, Zening

doi:10.1007/s12040-019-1206-6

Cited by 15 publications

(6 citation statements)

References 36 publications

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“…It can achieve a good conversion between a qualitative concept and its quantitative instantiations. So far, it has been widely applied in the stability classification of surrounding rocks, evaluation of water-use efficiency, prevention and control of disaster, and other areas [28][29][30].…”

Section: The Normal Cloud Modelmentioning

confidence: 99%

A Normal Cloud Model-Based Method for Risk Assessment of Water Inrush and Its Application in a Super-Long Tunnel Constructed by a Tunnel Boring Machine in the Arid Area of Northwest China

Wang

Shi

et al. 2020

Water

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Tunnel water inrush is complex, fuzzy, and random, and it is affected by many factors, such as hydrology, geology, and construction. However, few papers have considered the impact of dynamic monitoring on water inrush in previous research. In this study, considering geological, hydrological, and construction factors, as well as dynamic monitoring, a new multi-index evaluation method is proposed to analyze the risk of tunnel water inrush based on the normal cloud model. A new weight algorithm combining analytic hierarchy process and entropy method is used to calculate the index weight. The certainty degree of each evaluation index belonging to the corresponding cloud can be obtained by the cloud model theory. The final level of tunnel water inrush is determined via the synthetic certainty degree. The proposed method is applied to analyze the risk of water inrush in the SS (Shuang-san) tunnel constructed by a tunnel boring machine in the arid area of Northwest China. The evaluation results are not only basically identical to the results calculated by the ideal point and gray relation projection methods, but also agree well with the actual excavation results. This demonstrates that this new risk assessment method of water inrush has high accuracy and feasibility. Simultaneously, it also provides a new research idea to analyze the probability of tunnel water inrush and can provide a reference for related projects.

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Section: The Normal Cloud Modelmentioning

confidence: 99%

A Normal Cloud Model-Based Method for Risk Assessment of Water Inrush and Its Application in a Super-Long Tunnel Constructed by a Tunnel Boring Machine in the Arid Area of Northwest China

Wang

Shi

et al. 2020

Water

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show abstract

“…At the same time, this model is used to evaluate and analyze the urban ecological risk in Hexi region. Guan et al 13 take the Huaihe River Basin as the research object, and use the cloud model to select some indicators, so then construct the comprehensive evaluation index system. The entropy weight method was used to calculate the weight of each index.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of land resources carrying capacity based on entropy weight and cloud similarity

Xu,

Yang

2024

Sci Rep

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Land is the foundation of human life and development, which is also the most important part of a country. The study of land carrying capacity is one of the important contents of land management, wherein the evaluation of land resource carrying capacity (LRCC) is an important reference for land resource planning. Aiming at the information fuzziness and uncertainty in the evaluation of LRCC, firstly, a comprehensive evaluation model based on entropy weight and normal cloud similarity was proposed, which is based on cloud model theory and combined with normal cloud similarity measurement method and entropy weight method. Secondly, taking the asphalt pavement experiment as an example for empirical analysis, the experimental results are consistent with the actual situation, which proves the feasibility and effectiveness of the proposed model. Finally, taking China’s Chongqing city as the research area, the proposed evaluation model is used to study LRCC. The research results indicate that the comprehensive carrying capacity and average carrying capacity of various systems in China’s Chongqing have been improved in the past decade. Among them, the comprehensive carrying capacity rose from the second level during the "12th Five-Year Plan" period to the third level during the "13th Five-Year Plan" period. In the future, it is necessary to focus on the improvement of soil and water resources system and economic and technological system. This conclusion reflects LRCC of Chongqing in China objectively and has a reference value for Chongqing's land planning.

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“…At the same time, this model is used to evaluate and analyze the urban ecological risk in Hexi region. Guan et al 13 takes the Huaihe River Basin as the research object, uses the cloud model to select some indicators, and constructs the comprehensive evaluation index system. The entropy weight method was used to calculate the weight of each index, and the composite fuzzy meta-model was used to calculate the comprehensive index.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of land resources carrying capacity based on entropy weight and cloud similarity

Yang

2023

Preprint

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Land is the foundation of human life and development, which is also the most important part of a country. The study of land carrying capacity is one of the important contents of land management, wherein the evaluation of land resource carrying capacity (LRCC) is an important reference for land resource planning. Aiming at the information fuzziness and uncertainty in the evaluation of LRCC, firstly, a comprehensive evaluation model based on entropy weight and normal cloud similarity was proposed, which is based on cloud model theory and combined with normal cloud similarity measurement method and entropy weight method. Secondly, taking the asphalt pavement experiment as an example for empirical analysis, the experimental results are consistent with the actual situation, which proves the feasibility and effectiveness of the proposed model. Finally, taking Chongqing city as the research area, the proposed evaluation model is used to study LRCC of Chongqing. The research results indicate that the comprehensive carrying capacity and average carrying capacity of various systems in Chongqing have been improved in the past decade. In the future, it is necessary to focus on the improvement of soil and water resources system and economic and technological system. This conclusion reflects LRCC of Chongqing objectively and has a reference value for Chongqing's land planning.

show abstract

Comprehensive evaluation of water-use efficiency in China’s Huai river basin using a cloud–compound fuzzy matter element–entropy combined model

Cited by 15 publications

References 36 publications

A Normal Cloud Model-Based Method for Risk Assessment of Water Inrush and Its Application in a Super-Long Tunnel Constructed by a Tunnel Boring Machine in the Arid Area of Northwest China

A Normal Cloud Model-Based Method for Risk Assessment of Water Inrush and Its Application in a Super-Long Tunnel Constructed by a Tunnel Boring Machine in the Arid Area of Northwest China

Evaluation of land resources carrying capacity based on entropy weight and cloud similarity

Evaluation of land resources carrying capacity based on entropy weight and cloud similarity

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