Institutional Repository of Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences
| An engineering geological suitability comprehensive evaluation index (EGSCEI) for large-scale infrastructure site selection | |
| Yang, Peng1,2,3; Shang, Yanjun4; Li, Yanyan5; Li, Kun6 | |
| 2022-11-07 | |
| Source Publication | QUARTERLY JOURNAL OF ENGINEERING GEOLOGY AND HYDROGEOLOGY
 |
| ISSN | 1470-9236 |
| Volume | 55Issue:4Pages:8 |
| Abstract | The purpose of this paper is to present a quantitative method for evaluating the engineering geological suitability of potential sites in order to select the optimal site for large-scale infrastructure. Based on the fuzzy comprehensive evaluation decision method and analytic hierarchy process (AHP), an engineering geological suitability comprehensive evaluation index (EGSCEI) model was applied in the selection of a site for the construction of the China Initiative Accelerator-Driven System (CiADS) and the High-Intensity Heavy-Ion Accelerator Facility (HIAF). In this model, seven parameters, including land use, geomorphology, geological structure, lithology, hydrogeology, geological disaster and rock weathering, were selected as the evaluation factors. The factor evaluation matrices were established, and the weight vector of the seven factors was determined using the AHP. The engineering geological suitability fuzzy comprehensive evaluation vectors were then computed. Finally, according to the normalized engineering geological suitability comprehensive evaluation vectors and the quantified evaluation ranking vector, the EGSCEI values were calculated. As a result, site No. 3 was evaluated as the most optimal site of the three potential sites for the construction of the CiADS and HIAF. The result was adopted by the Chinese government, and site No. 3 became the selected location. This case study shows that the EGSCEI model is scientific, reasonable and applicable in providing a reference for similar large-scale infrastructure site selection. |
| DOI | 10.1144/qjegh2021-011 |
| Funding Organization | National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Basic Research Program of China (973 Program) ; National Basic Research Program of China (973 Program) ; China Geological Survey ; China Geological Survey ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Basic Research Program of China (973 Program) ; National Basic Research Program of China (973 Program) ; China Geological Survey ; China Geological Survey ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Basic Research Program of China (973 Program) ; National Basic Research Program of China (973 Program) ; China Geological Survey ; China Geological Survey ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Basic Research Program of China (973 Program) ; National Basic Research Program of China (973 Program) ; China Geological Survey ; China Geological Survey |
| WOS Keyword | LOCATION ; SYSTEM ; STATION ; PROJECT |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China[41772320] ; National Basic Research Program of China (973 Program)[2014CB046901] ; China Geological Survey[DD20211301] |
| Funding Organization | National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Basic Research Program of China (973 Program) ; National Basic Research Program of China (973 Program) ; China Geological Survey ; China Geological Survey ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Basic Research Program of China (973 Program) ; National Basic Research Program of China (973 Program) ; China Geological Survey ; China Geological Survey ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Basic Research Program of China (973 Program) ; National Basic Research Program of China (973 Program) ; China Geological Survey ; China Geological Survey ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Basic Research Program of China (973 Program) ; National Basic Research Program of China (973 Program) ; China Geological Survey ; China Geological Survey |
| WOS Research Area | Engineering ; Geology |
| WOS Subject | Engineering, Geological ; Geosciences, Multidisciplinary |
| WOS ID | WOS:000868298100001 |
| Publisher | GEOLOGICAL SOC PUBL HOUSE |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.iggcas.ac.cn/handle/132A11/107794 |
| Collection | 页岩气与地质工程院重点实验室 |
| Corresponding Author | Yang, Peng |
| Affiliation | 1.China Geol Survey, Tianjin Ctr, Tianjin 300170, Peoples R China 2.China Geol Survey, Key Lab Coast Geoenvironm, Tianjin 300170, Peoples R China 3.China Geol Survey, North China Ctr Geosci Innovat, Tianjin 300170, Peoples R China 4.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn, Beijing 100029, Peoples R China 5.Beijing Univ Technol, Fac Urban Construct, Beijing 100124, Peoples R China 6.Minist Water Resources, Gen Inst Water Resources & Hydropower Planning &, Beijing 100120, Peoples R China |
| Recommended Citation GB/T 7714 | Yang, Peng,Shang, Yanjun,Li, Yanyan,et al. An engineering geological suitability comprehensive evaluation index (EGSCEI) for large-scale infrastructure site selection[J]. QUARTERLY JOURNAL OF ENGINEERING GEOLOGY AND HYDROGEOLOGY,2022,55(4):8. |
| APA | Yang, Peng,Shang, Yanjun,Li, Yanyan,&Li, Kun.(2022).An engineering geological suitability comprehensive evaluation index (EGSCEI) for large-scale infrastructure site selection.QUARTERLY JOURNAL OF ENGINEERING GEOLOGY AND HYDROGEOLOGY,55(4),8. |
| MLA | Yang, Peng,et al."An engineering geological suitability comprehensive evaluation index (EGSCEI) for large-scale infrastructure site selection".QUARTERLY JOURNAL OF ENGINEERING GEOLOGY AND HYDROGEOLOGY 55.4(2022):8. |
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