Risk assessment of geological disasters in Beichuan County after the Wenchuan earthquake based on ArcGIS

Bulletin of Engineering Geology and the Environment - Tập 82 - Trang 1-23 - 2023
Fu-gang Xu1, Yi-heng Ou1, Feng Wang2, Bo-wen Wei1, Ruokun-Nie1
1School of Infrastructure Engineering, Nanchang University, Nanchang, People’s Republic of China
2Jiangxi Water Resources Institute, Nanchang, People’s Republic of China

Tóm tắt

Extreme geological disasters have been occurring with increasing frequency, especially in Southwest China, seriously affecting people’s lives and production. It is necessary and urgent to quickly assess the risk level of geological disasters and formulate reasonable emergency measures. In this paper, we take Beichuan Qiang Autonomous County (hereinafter referred to as Beichuan County) after the Wenchuan earthquake as an example, use ArcGIS software and SPSS software to determine the optimal geological disaster evaluation factors, and apply the frequency ratio model method (FR) to evaluate the susceptibility risk of the study area. Geological hazard risk assessment (R) combines the hazard assessment (H) and the vulnerability assessment of the hazard-bearing body (V), namely, R = H × V. The hazard assessment is based on the vulnerability assessment zoning map, which is obtained by overlaying the danger level onto each village, thus producing a danger assessment zoning map. H is then combined with the vulnerability assessment zoning map of the bearing body, which is obtained via the fuzzy comprehensive evaluation method, and the final risk assessment result is achieved. The results show that the medium- and high-risk areas make up the vast majority of the study area. Qushan town, Yong’an town, and Xiaoba town are extremely high-risk areas with both high risk and high vulnerability and therefore need to be the focus of prevention and control measures. The results of this study can provide a scientific basis for geological disaster management, monitoring, forecasting, emergency disaster relief, and environmental protection; furthermore, they have a certain reference value for early warning of geological disaster risks.

Tài liệu tham khảo

Bao H, Qi Q, Lan HX, Yan CG, Feng L, Xu JB, Yin PJ, Peng JB (2020) Sliding mechanical properties of fault gouge studied from ring shear test-based microscopic morphology characterization. Eng Geol 279:105879

Bronowski B, Chybiorz R, Jura D (2016) Landslide susceptibility mapping in the Beskid Niski Mts. Western Carpathians (Dukla commune, Poland). Geol Q 60(3):586–596

Cavallaro A, Grasso S, Sammito MSV (2022) A seismic microzonation study for some areas around the Mt. Etna Volcano on the East Coast of Sicily, Italy. In book: Proceedings of the 4th International Conference on Performance Based Design in Earthquake Geotechnical Engineering, Beijing, China, 15-17 July 2022.

Devrani R, Srivastava P, Kumar R, Kasana P (2022) Characterization and assessment of flood inundated areas of lower Brahmaputra River basin using multitemporal synthetic aperture Radar data: a case study from NE India. Geol J 57(2):622–646

Fan C, Liu ZP, Zeng C, Bi HJ, Zhou TL, Liu X (2021) Susceptibility assessment of landslide geological disasters in Beichuan County based on impact factor feedback calibration. Secu Envi Eng 28:121–130

Gao ZM, Ding MT, Yang GH, Huang T, Zhang XY, Zhou YT, Xi CJ (2021) Hazard assessment of debris flow disaster in Zire-Bomi section of Sichuan-Tibet railway. J Eng Ge 29:478–485

Grasso S, Sammito MSV (2022) Uncertainties in performance based design methodologies for seismic microzonation of ground motion and site effects: state of development and applications for Italy. In book: Proceedings of the 4th International Conference on Performance Based Design in Earthquake Geotechnical Engineering, Beijing, China, 15-17 July 2022.

Jiang WG, Rao PZ, Cao R, Tang ZH, Chen K (2017) Comparative evaluation of geological disaster susceptibility using multi-regression methods and spatial accuracy validation. J Geogr Sci 27:439–462

Kang H, Chen YL, Li DP, Bao C, Zhang HZ (2018) Zircon U-Pb ages and Hf isotopic compositions of fluvial sediments from the Huangshui, Beichuan, and Xichuan rivers, Northwest China: constraints on the formation and evolution history of the Central Qilian Block. Geochem J 52(1):37–57

Karymbalis E, Andreou M, Batzakis DV, Tsanakas K, Karalis S (2021) Integration of gis-based multicriteria decision analysis and analytic hierarchy process for flood-hazard assessment in the Megalo Rema river catchment (East Attica, Greece). Sustainability-Basel 13:1–24

Kawagoe S, Kazama S, Sarukkalige PR (2009) Assessment of snowmelt triggered landslide hazard and risk in Japan. Cold Reg Sci Technol 58:99–112

Li GH, Tie YB, Bai YJ, Xiong XH (2022) Development law and susceptibility evaluation of geological disasters in Zemuhe fault zone (Puge section). Chin J Geol Disa Prev 33:123–133

Lin JH, Chen WH, Qi XH, Hou HR (2021) Risk assessment and its influencing factors analysis of geological hazards in typical mountain environment. J Clean Prod 309:127077

Liu Y, Chen Z, Hu BD, Jin JK, Wu Z (2019) A non-uniform spatiotemporal kriging interpolation algorithm for landslide displacement data. B Eng Geol Environ 78(6):4153–4166

Mori F, Gaudiosi I, Tarquini E, Bramerini F, Castenetto S, Naso G, Spina D (2020) HSM: a synthetic damage constrained seismic hazard parameter. B Earthq Eng 18:5631–5654

Nafchi RF, Yaghoobi P, Vanani HR, Ostad-Ali-Askari K, Maghsoudlou B (2021) Eco-hydrologic stability zonation of dams and power plants using the combined models of SMCE and CEQUALW2. Appl Water Sci 11:109. https://doi.org/10.1007/s13201-021-01427-z

Niu Q, Cheng W, Liu Y (2012) Risk assessment of secondary geological disasters induced by the Yushu Earthquake. J Mt Sci-Engl 09:232–242

Peng SH, Wang K (2015) Risk evaluation of geological hazards of mountainous tourist area: a case study of Mengshan, China. Nat Hazards 78:517–529

Qian LH, Zang SY (2022) Differentiation rule and driving mechanisms of collapse disasters in Changbai County. Sustainability-Basel 14:1–12

Qiu DH, Chen QQ, Xue YG, Su MX, Liu Y, Cui JH, Zhou BH (2022) A new method for risk assessment of water inrush in a subsea tunnel crossing faults. Mar Georesour Geotec 5/6:679–689

Ran YK, Chen WS, Xu XW, Chen LC, Wang H, Li YB (2013) Paleoseismic events and recurrence interval along the Beichuan-Yingxiu fault of Longmenshan fault zone, Yingxiu, Sichuan, China. Tectonophysics 33:2218–2232

Talebmorad H, Ostad-Ali-Askari K (2022) Hydro geo-sphere integrated hydrologic model in modeling of wide basins. Sustain Water Resour Manag 08:118. https://doi.org/10.1007/s40899-022-00689-y

Tan QL, Bai MZ, Zhou PG, Hu J, Qin XC (2021) Geological hazard assessment of line landslide based on measurement sensor and gis. Measurement 169:108370

Tie YB, Xu W, Xiang BL, Jy L, Gong LF, Gao YC, Tian K (2022) Construction and thinking of ‘point-surface double control’ system of geological disaster risk in southwest China. Chin J Geol Disa Prev 33:106–113

Ullah J, Luo M, Ashraf U, Pan HP, Anees A, Li D, Ali M, Ali J (2022) Evaluation of the geothermal parameters to decipher the thermal structure of the upper crust of the Longmenshan fault zone derived from borehole data. Geothermics 98:102268

Wang YY, Chen JF, Li SJ, Wang SY, Shi DY, Shen WB (2022) Coseismic fluid-rock interactions in the Yingxiu-Beichuan surface rupture zone of the Mw 7.9 Wenchuan earthquake and their implications for the structural diagenesis of fault rocks. J Struct Geol 159:104603

Wu CS, Guo YG, Su LB (2021) Risk assessment of geological disasters in Nyingchi, Tibet. Open Geosci 13(1):219–232

Yang XY, Fu J, Han XD, Pan SH, Zhang C, Li G, Lu FL (2022) Risk assessment of geological disasters in cities and towns along the Yangtze River in the Three Gorges Reservoir Area-Taking Dazhou Town, Wanzhou District, Chongqing as an example. Chin Geol Surv 09:27–36

Yilmaz I, Keskin I (2009) Gis based statistical and physical approaches to landslide susceptibility mapping (Sebinkarahisar, Turkey). B Eng Geol Environ 68(4):459–471

Zamanzade E, Wang X (2020) Estimating the area under a receiver operating characteristic curve using partially ordered sets. Int J Biostat 17:139–152

Zhang J, Chen Y (2019) Risk Assessment of flood disaster induced by typhoon rainstorms in Guangdong Province, China. Sustainability-Basel 11:2738

Zhang X, Zhu C, He MC, Dong ML, Zhang GC, Zhang FM (2021) Failure mechanism and long short-term memory neural network model for landslide risk prediction. Remote Sens-Basel 14:166

Zhao Y, Gong ZW, Wang WH, Luo K (2014) The comprehensive risk evaluation on rainstorm and flood disaster losses in China mainland from 2004 to 2009: based on the triangular gray correlation theory. Nat Hazards 71:1001–1016

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Bulletin of Engineering Geology and the Environment

Tập 82

1-23

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