Evolutionary Modeling of Risk Transfer for Safe Operation of Inter-Basin Water Transfer Projects Using Dempster–Shafer and Bayesian Network Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.3390/systems13121064
Inter-basin water transfer projects (IBWTPs) play a crucial role in addressing the uneven spatial and temporal distribution of water resources and ensuring water security in the receiving areas. However, these projects are subject to various risk factors during their operation. While risk management is critical, current research in this field lacks a systematic and dynamic approach. A three-dimensional measurement model for probability, loss, and risk value, based on Dempster–Shafer (DS) evidence theory, Bayesian networks, and the equivalence method, was established in this study and, in consideration of the engineering characteristics of the IBWTP, a dynamic transmission evolution model for risk is constructed. The applicability and effectiveness of the model are demonstrated through a case study of the Central Line Project of South-to-North Water Diversion (CLPSNWD). The results indicate that the system risk of the CLPSNWD is in an unstable state, with the key influencing factors being channel engineering risk, flood disaster risk, pipeline engineering risk, and water transfer (discharge) cross-structure risk. The research findings offer a novel approach to the quantitative analysis and evolution of risk and contribute to the further development of engineering risk management theory.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/systems13121064
- https://www.mdpi.com/2079-8954/13/12/1064/pdf
- OA Status
- gold
- OpenAlex ID
- https://openalex.org/W7106530627
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W7106530627Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/systems13121064Digital Object Identifier
- Title
-
Evolutionary Modeling of Risk Transfer for Safe Operation of Inter-Basin Water Transfer Projects Using Dempster–Shafer and Bayesian NetworkWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-11-24Full publication date if available
- Authors
-
Tianyu Fan, Qikai Li, Bo Wang, Zhiyong Li, Xiangtian NieList of authors in order
- Landing page
-
https://doi.org/10.3390/systems13121064Publisher landing page
- PDF URL
-
https://www.mdpi.com/2079-8954/13/12/1064/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2079-8954/13/12/1064/pdfDirect OA link when available
- Concepts
-
Water transfer, Risk analysis (engineering), Risk management, Bayesian network, Flood myth, Risk assessment, Flood risk management, Water security, Water supply, Computer science, Pipeline (software), Engineering, Key (lock), Field (mathematics), Risk management framework, Scope (computer science), Water resources, Channel (broadcasting), Water hammer, Vulnerability (computing), Emergency management, System dynamics, Stochastic modelling, Risk management tools, Systems engineering, Transmission (telecommunications), Bayesian inference, Environmental resource managementTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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| abstract_inverted_index.and | 14, 20, 53, 63, 74, 104, 155, 172, 176 |
| abstract_inverted_index.are | 31, 109 |
| abstract_inverted_index.for | 60, 98 |
| abstract_inverted_index.key | 142 |
| abstract_inverted_index.the | 11, 25, 75, 87, 91, 107, 116, 129, 133, 141, 169, 179 |
| abstract_inverted_index.was | 78 |
| abstract_inverted_index.(DS) | 69 |
| abstract_inverted_index.Line | 118 |
| abstract_inverted_index.and, | 83 |
| abstract_inverted_index.case | 113 |
| abstract_inverted_index.play | 5 |
| abstract_inverted_index.risk | 35, 41, 64, 99, 131, 175, 184 |
| abstract_inverted_index.role | 8 |
| abstract_inverted_index.that | 128 |
| abstract_inverted_index.this | 48, 81 |
| abstract_inverted_index.with | 140 |
| abstract_inverted_index.Water | 122 |
| abstract_inverted_index.While | 40 |
| abstract_inverted_index.based | 66 |
| abstract_inverted_index.being | 145 |
| abstract_inverted_index.field | 49 |
| abstract_inverted_index.flood | 149 |
| abstract_inverted_index.lacks | 50 |
| abstract_inverted_index.loss, | 62 |
| abstract_inverted_index.model | 59, 97, 108 |
| abstract_inverted_index.novel | 166 |
| abstract_inverted_index.offer | 164 |
| abstract_inverted_index.risk, | 148, 151, 154 |
| abstract_inverted_index.risk. | 160 |
| abstract_inverted_index.study | 82, 114 |
| abstract_inverted_index.their | 38 |
| abstract_inverted_index.these | 29 |
| abstract_inverted_index.water | 1, 18, 22, 156 |
| abstract_inverted_index.IBWTP, | 92 |
| abstract_inverted_index.areas. | 27 |
| abstract_inverted_index.during | 37 |
| abstract_inverted_index.state, | 139 |
| abstract_inverted_index.system | 130 |
| abstract_inverted_index.uneven | 12 |
| abstract_inverted_index.value, | 65 |
| abstract_inverted_index.CLPSNWD | 134 |
| abstract_inverted_index.Central | 117 |
| abstract_inverted_index.Project | 119 |
| abstract_inverted_index.channel | 146 |
| abstract_inverted_index.crucial | 7 |
| abstract_inverted_index.current | 45 |
| abstract_inverted_index.dynamic | 54, 94 |
| abstract_inverted_index.factors | 36, 144 |
| abstract_inverted_index.further | 180 |
| abstract_inverted_index.method, | 77 |
| abstract_inverted_index.results | 126 |
| abstract_inverted_index.spatial | 13 |
| abstract_inverted_index.subject | 32 |
| abstract_inverted_index.theory, | 71 |
| abstract_inverted_index.theory. | 186 |
| abstract_inverted_index.through | 111 |
| abstract_inverted_index.various | 34 |
| abstract_inverted_index.(IBWTPs) | 4 |
| abstract_inverted_index.Bayesian | 72 |
| abstract_inverted_index.However, | 28 |
| abstract_inverted_index.analysis | 171 |
| abstract_inverted_index.approach | 167 |
| abstract_inverted_index.disaster | 150 |
| abstract_inverted_index.ensuring | 21 |
| abstract_inverted_index.evidence | 70 |
| abstract_inverted_index.findings | 163 |
| abstract_inverted_index.indicate | 127 |
| abstract_inverted_index.pipeline | 152 |
| abstract_inverted_index.projects | 3, 30 |
| abstract_inverted_index.research | 46, 162 |
| abstract_inverted_index.security | 23 |
| abstract_inverted_index.temporal | 15 |
| abstract_inverted_index.transfer | 2, 157 |
| abstract_inverted_index.unstable | 138 |
| abstract_inverted_index.Diversion | 123 |
| abstract_inverted_index.approach. | 55 |
| abstract_inverted_index.critical, | 44 |
| abstract_inverted_index.evolution | 96, 173 |
| abstract_inverted_index.networks, | 73 |
| abstract_inverted_index.receiving | 26 |
| abstract_inverted_index.resources | 19 |
| abstract_inverted_index.(CLPSNWD). | 124 |
| abstract_inverted_index.addressing | 10 |
| abstract_inverted_index.contribute | 177 |
| abstract_inverted_index.management | 42, 185 |
| abstract_inverted_index.operation. | 39 |
| abstract_inverted_index.systematic | 52 |
| abstract_inverted_index.(discharge) | 158 |
| abstract_inverted_index.Inter-basin | 0 |
| abstract_inverted_index.development | 181 |
| abstract_inverted_index.engineering | 88, 147, 153, 183 |
| abstract_inverted_index.equivalence | 76 |
| abstract_inverted_index.established | 79 |
| abstract_inverted_index.influencing | 143 |
| abstract_inverted_index.measurement | 58 |
| abstract_inverted_index.constructed. | 101 |
| abstract_inverted_index.demonstrated | 110 |
| abstract_inverted_index.distribution | 16 |
| abstract_inverted_index.probability, | 61 |
| abstract_inverted_index.quantitative | 170 |
| abstract_inverted_index.transmission | 95 |
| abstract_inverted_index.applicability | 103 |
| abstract_inverted_index.consideration | 85 |
| abstract_inverted_index.effectiveness | 105 |
| abstract_inverted_index.South-to-North | 121 |
| abstract_inverted_index.characteristics | 89 |
| abstract_inverted_index.cross-structure | 159 |
| abstract_inverted_index.Dempster–Shafer | 68 |
| abstract_inverted_index.three-dimensional | 57 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile |