Evaluation of Serviceability of Canal Lining Based on AHP–Simple Correlation Function Method–Cloud Model: A Case Study in Henan Province, China

In the process of sustainable development within modern agriculture, in order to ensure that agricultural production has adequate water resources, canal lining (CL) is often used to transport water in order to reduce water seepage, thus promoting the sustainable utilization of water resources. However, due to the influence of the terrain, environment, human factors and other factors, the CL often suffers a certain degree of damage. Therefore, it is necessary to evaluate the serviceability of the CL, so to realize the sustainable use of the CL strategy. Aiming at the weight assignment of CL evaluation indices that are subjective and not combined with actual index data, a weight calculation method based on the Analytic Hierarchy Process (AHP)–simple correlation function (SCF) method was proposed, and game theory was used to achieve combination weighting. For the evaluation indices with the characteristics of fuzziness and randomness, the cloud model (CM) was used to comprehensively consider these characteristics in order to realize the evaluation. Finally, a method to measure serviceability of CL based on AHP–SCF–CM was proposed. Taking a CL project in China as an example, this method was used to evaluate the serviceability of the CL. The evaluation result showed that the serviceability of the CL was poor, and the qualitative evaluation result was consistent with the actual damage condition of the project; meanwhile, a comparative study was performed in combination with the AHP–Entropy Weight (EW)–unascertained measurement theory (UMT). The quantitative evaluation results of the two methods displayed the same grade of serviceability, which verifies that the method proposed in this paper is more reasonable, objective and feasible from both qualitative and quantitative perspectives. Furthermore, the evaluation results lay the foundation for subsequent maintenance and fault prevention of the canal.

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Durability evaluation of highway tunnel lining structure based on matter element extension-simple correlation function method-cloud model: A case study

Mathematical Biosciences and Engineering ◽

10.3934/mbe.2021202 ◽

2021 ◽

Vol 18 (4) ◽

pp. 4027-4054

Author(s):

Qingfu Li ◽

◽

Huade Zhou ◽

Hua Zhang

Keyword(s):

Correlation Function ◽

Function Method ◽

Cloud Model ◽

Tunnel Lining ◽

Simple Correlation ◽

Highway Tunnel ◽

Lining Structure ◽

Simple Correlation Function

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Construction of Water Resources Utilization Efficiency Evaluation Index System Based on Cloud Model

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.864-867.2249 ◽

2013 ◽

Vol 864-867 ◽

pp. 2249-2256

Author(s):

Xin Jian Guan ◽

Yu Meng ◽

Ze Ning Wu

Keyword(s):

Water Resources ◽

Index System ◽

Cloud Model ◽

Qualitative Evaluation ◽

Evaluation Index System ◽

Utilization Efficiency ◽

Evaluation Index ◽

Index Set ◽

Quantitative Score ◽

Water Resources Utilization

This paper presents a method for selecting indexes based on cloud model. The natural language qualitative evaluation of water resources utilization efficiency (WRUE) indexes from several experts were converted into quantitative score values. The randomness and fuzziness of conversion process could be fully reflected. Based on the basic index set of WRUE and fifty experts` comments, cloud model was used to calculate each index`s value. Finally, eight indexes covering overall, agricultural, industrial and living industry were selected to construct the evaluation index system. Cloud model is convenient, objective, and the calculation process is simple. The construction of evaluation index system lays a good foundation for the evaluation of WURE.

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Assessment of the Tarim River basin water resources sustainable utilization based on entropy weight set pair theory

Water Science & Technology Water Supply ◽

10.2166/ws.2018.141 ◽

2018 ◽

Vol 19 (3) ◽

pp. 908-917 ◽

Cited By ~ 2

Author(s):

Shibao Lu ◽

Yizi Shang ◽

Wei Li

Keyword(s):

Water Resources ◽

Water Resource ◽

Sustainable Use ◽

Environmental Water ◽

Value Theory ◽

Evaluation Index System ◽

Evaluation Index ◽

Tarim River ◽

Tarim River Basin ◽

Entropy Weight

Abstract Scientific assessment provides important tools for the sustainable use of water resources. This paper applies the set pair theory of entropy weight to evaluate the uncertainty involved. A preliminary classification of samples is conducted by calculating the connection degree of each evaluation index, and then uniform, differential and confrontational analyses of set pairs are carried out on the samples to identify their level. In identifying the weight of each evaluation index, the entropy value theory of information theory is introduced into the model. Combined with Tarim 2004 to 2007 water resource data, an evaluation of the sustainable water resource utilization in this region is made from the social and economic, water resource and ecological environmental water resource evaluation index system. The results show that the development and utilization of water resources in the Sanyuanliu region of Tarim are saturated, and the utilization of water resources in the Hotan region (III), Aksu region (III) and Kashgar region (III) appears to be unsustainable. After a comparison with other methods, it is concluded that the evaluation result provided by the method is reasonable and objective.

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Evaluation of Water Resources Sustainable Utilization in Wuhan Based on the Model of SUDE

10.3233/faia210264 ◽

2021 ◽

Author(s):

Lan Dong

Keyword(s):

Life Cycle ◽

Water Resources ◽

Sustainable Use ◽

Water System ◽

Entropy Weight ◽

Use Phase ◽

Water Resources Sustainable Utilization ◽

Whole Life Cycle ◽

Model Water ◽

Stage D

SUDE model is a systematic sustainable use model based on the view of the whole life cycle of water resources. The analysis of the model water resources has been divided into four stages according to the state of motion water resourcesat different times in its life cycle, namely the water supply stage (“S”),water use phase (“U”),water collection,treatment anddrainage stage (“D”) and water return to natural ecological (ecology) environment for dilution, degradation stage (“E”).on the analysis above,SUDE theoretical model of water system has been built and corresponding evaluation index systemhas therefore been established. Then, we use entropy weight TOPSIS method to evaluate thesustainability of water resource during 2013∼2017 yearsin Wuhan, and finally the corresponding conclusions and suggestion have been drawn according to the result of evaluation in the paper.

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Water Governance and Management in Indus Basin - Challenges & Threats

Studies of Applied Economics ◽

10.25115/eea.v38i3.3601 ◽

2020 ◽

Vol 38 (3) ◽

Author(s):

Marium Sara Minhas Bandeali

Keyword(s):

Water Management ◽

Civil Society ◽

Water Resources ◽

Water Policy ◽

Water Governance ◽

Sustainable Use ◽

Water Security ◽

Sampling Technique ◽

The State ◽

Indus Basin

Water governance and management are important challenges for the River Indus Basin in Pakistan. Water governance refers to social, political and economic factors that influence water management. The water scarcity and water security are a major concern for the state to control its water resources. The study aims to give Sindh water policy by exploring the challenges to Indus Basin in managing water resources and to identify opportunities Indus Basin can look to improve water management. Interviews were conducted from water experts and analysts having 5 years’ experience or more in the water sector of Pakistan through a semi-structured self-developed questionnaire using purposive sampling technique and transcripts were analyzed using thematic content analysis. The findings show that increasing population, climatic change and rising demand of water are major challenges Indus is facing and Indus with time is getting water-scarce therefore need strong institutions, civil society and legislatures to ensure equitable distribution of water and maintain the ecosystem. The study emphasizes that water governance and management are necessary for sustainable use of water. Pakistan, the water stress country needs to address ‘governance’ at a wider scale to solve problems in the Indus Basin for the livelihood of people. The research will benefit the state, water experts, institutions as well as civil society to promote efficient use of water in Indus Basin.

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Quantitative Risk Assessment for Deep Tunnel Failure Based on Normal Cloud Model: A Case Study at the ASHELE Copper Mine, China

Applied Sciences ◽

10.3390/app11115208 ◽

2021 ◽

Vol 11 (11) ◽

pp. 5208

Author(s):

Jianpo Liu ◽

Hongxu Shi ◽

Ren Wang ◽

Yingtao Si ◽

Dengcheng Wei ◽

...

Keyword(s):

Risk Assessment ◽

Large Scale ◽

Cloud Model ◽

Quantitative Risk Assessment ◽

Geological Condition ◽

Deep Tunnel ◽

Entropy Weight ◽

Copper Mine ◽

Evaluation Indexes ◽

Metal Mines

The spatial and temporal distribution of tunnel failure is very complex due to geologic heterogeneity and variability in both mining processes and tunnel arrangement in deep metal mines. In this paper, the quantitative risk assessment for deep tunnel failure was performed using a normal cloud model at the Ashele copper mine, China. This was completed by considering the evaluation indexes of geological condition, mining process, and microseismic data. A weighted distribution of evaluation indexes was determined by implementation of an entropy weight method to reveal the primary parameters controlling tunnel failure. Additionally, the damage levels of the tunnel were quantitatively assigned by computing the degree of membership that different damage levels had, based on the expectation normalization method. The methods of maximum membership principle, comprehensive evaluation value, and fuzzy entropy were considered to determine the tunnel damage levels and risk of occurrence. The application of this method at the Ashele copper mine demonstrates that it meets the requirement of risk assessment for deep tunnel failure and can provide a basis for large-scale regional tunnel failure control in deep metal mines.

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Energy sustainability evaluation of 30 provinces in China using the improved entropy weight-cloud model

Ecological Indicators ◽

10.1016/j.ecolind.2021.107657 ◽

2021 ◽

Vol 126 ◽

pp. 107657

Author(s):

Xiaoran Hou ◽

Tao Lv ◽

Jie Xu ◽

Xu Deng ◽

Feng Liu ◽

...

Keyword(s):

Cloud Model ◽

Energy Sustainability ◽

Sustainability Evaluation ◽

Entropy Weight

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Co-creating narratives for WEF nexus governance: a Quantitative Story-Telling case study in the Canary Islands

Sustainability Science ◽

10.1007/s11625-021-00933-y ◽

2021 ◽

Author(s):

Violeta Cabello ◽

David Romero ◽

Ana Musicki ◽

Ângela Guimarães Pereira ◽

Baltasar Peñate

Keyword(s):

Water Resources ◽

Canary Islands ◽

Sustainable Use ◽

Quantitative Information ◽

Practical Case ◽

Story Telling ◽

Practical Applications ◽

Narrative Assessment ◽

Alternative Water

AbstractThe literature on the water–energy–food nexus has repeatedly signaled the need for transdisciplinary approaches capable of weaving the plurality of knowledge bodies involved in the governance of different resources. To fill this gap, Quantitative Story-Telling (QST) has been proposed as a science for adaptive governance approach that aims at fostering pluralistic and reflexive research processes to overcome narrow framings of water, energy, and food policies as independent domains. Yet, there are few practical applications of QST and most run on a pan-European scale. In this paper, we apply the theory of QST through a practical case study regarding non-conventional water sources as an innovation for water and agricultural governance in the Canary Islands. We present the methods mixed to mobilize different types of knowledge and analyze interconnections between water, energy, and food supply. First, we map and interview relevant knowledge holders to elicit narratives about the current and future roles of alternative water resources in the arid Canarian context. Second, we run a quantitative diagnosis of nexus interconnections related to the use of these resources for irrigation. This analysis provides feedback to the narratives in terms of constraints and uncertainties that might hamper the expectations posed on this innovation. Thirdly, the mixed analysis is used as fuel for discussion in participatory narrative assessment workshops. Our experimental QST process succeeded in co-creating new knowledge regarding the water–energy–food nexus while addressing some relational and epistemological uncertainties in the development of alternative water resources. Yet, the extent to which mainstream socio-technical imaginaries surrounding this innovation were transformed was rather limited. We conclude that the potential of QST within sustainability place-based research resides on its capacity to: (a) bridge different sources of knowledge, including local knowledge; (b) combine both qualitative and quantitative information regarding the sustainable use of local resources, and (c) co-create narratives on desirable and viable socio-technical pathways. Open questions remain as to how to effectively mobilize radically diverse knowledge systems in complex analytical exercises where everyone feels safe to participate.

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