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GIS-Based Geological Hazard Mapping Using Statistical Analysis and Cell Assignment Method for Western Sichuan Region, China

Received: 26 April 2022    Accepted: 9 May 2022    Published: 19 May 2022
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Abstract

Geological hazards pose severe threats to the natural ecological environment, which endanger human life, cause damage to the environment, and undermine social stability. Studying geological hazards is intended to minimize or reduce any potential losses or threats. Although geotechnical hazards present a complex problem, hazard mapping and zoning studies can improve predictions and reduce losses. Based on the principle of geological hazard zoning, this paper describes a GIS-based approach to regional mapping for geological hazards, including collapse, landslide, debris flow, and overall geological hazards. First, four main factors affecting the occurrence of geological hazards, namely, digital elevation model (DEM), soil property, vegetation type, and average annual rainfall, are determined for analysis. Afterward, the investigated region of western Sichuan province, China, is divided into cells using GIS. The factors are then valued and assigned to the cells for statistical analysis. According to the relationship between the development/occurrence of geological hazards and various influencing factors, the region is first zoned with different degrees of susceptibility. Moreover, the response degree values for different levels of susceptibility to different influencing factors are determined for each cell, and then the superposition values of response degree for each cell are calculated for different geological hazards. Finally, the mapping of each geological hazard is done based on the calculated superposition value ranges. The mapping result demonstrates that the proposed approach is efficient and practical for determining the hazard susceptibility of regional geological hazards in western Sichuan province. The conclusions of this study can provide valuable information regarding the prevention and management of similar disasters in a region.

Published in Earth Sciences (Volume 11, Issue 3)
DOI 10.11648/j.earth.20221103.11
Page(s) 50-62
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Geological Hazard, Hazard Mapping, GIS, Western Sichuan Region

References
[1] Pan, Y. Y.; Zhao, X.; Cui, X. L. Study about construction of sea ice disaster loss chain and assessment of indirect economic losses. Chin. Fish. Econ. 2017, 35, 95-100.
[2] Savchenko, I. F.; Belozerov, N. I.; Girenko, I. V. Geophysical processes, solar energy, and biosphere as system factors of the evolution of the earth. Izv. Acad. Sci. USSR. Atmos. Oceanic. Phys. 2018, 54, 678-687.
[3] Xu, D.; Peng, L.; Liu, S.; Su, C.; Wang, X. Influences of sense of place on farming households’ relocation willingness in areas threatened by geological disasters: evidence from China. Int. J. Disast. Risk. Sc. 2017, 8, 16-32.
[4] Noy, I.; duPont, W. The long-term consequences of disasters: what do we know, and what we still don’t. Int. Rev. Environ. Reso. 2018, 12, 325-354.
[5] Leighton, F. B. Engineering geologic report of general plan study for city of glendora. NTIS. 1969.
[6] Chazan, W.; Zermos, P. Forecast of the risks incurred by the soil and sub-soil strata and the prevention of their effects. Annales. des. Mines. 1974, 3, 37-46.
[7] Dearman, W. R.; Matula, M. Environmental aspects of engineering geological mapping. Bull. Assoc. Eng. Geol. 1976, 13, 141-146.
[8] Drennon, C. B.; Schleining, W. G. Landslide hazard mapping on a shoestring. J. Surv. Mapp. Div. Am. Soc. Civ. Eng. 1975, 101, 107-114.
[9] Finney Michael, A.; Bain Nancy, R. Analyzing landslip hazards with GIS technology. Public Works. 1989, 120, 5-8.
[10] Gupta, R. P.; Joshi, B. C. Landslide hazard zoning using the GIS approach. A case study from the ramganga catchment, himalayas. Eng. Geol. 1990, 28, 119-131.
[11] Carrara, A.; Cardinali, M.; Detti, R.; Guzzetti, F.; Pasqui, V. GIS techniques and statistical models in evaluating landslide hazard. Earth. Surf. Processes. Landforms. 1991, 16, 427-445.
[12] Clouatre, E.; Dubois, J. M. M.; Poulin, A. The geographic information system and regional delimitation of zones at risk for landslides: hull-Gatineau region, quebec. Can. Geogr-Geogr. Can. 1996, 40, 367-386.
[13] Fernandez, C. I.; Del Castillo, T. F.; El Hamdouni, R; Montero J. C. Verification of landslide susceptibility mapping: a case study. Earth Surf. Earth. Surf. Proc. Land. 1999, 24, 537-544.
[14] Pachauri, A. K.; Gupta, P. V.; Chander, R. Landslide zoning in a part of the Garhwal Him alayas. Environ. Geol. 1998, 36, 3-4.
[15] Gupta, P.; Anbalagan, R. Slope stability of tehri am teservoir Area, India, using landslide hazard zonation (LHZ) mapping. Q. J. Eng. Geol. 1997, 30, 27-36.
[16] Alcotti, P.; Chowdhury, R. Landslide hazard assessment: summary review and new perspectives. Bull. Eng. Geol. Env. 1999, 58: 21-44.
[17] Wieczork, G. F. Evaluating danger landslide catalogue map. Bull. Assoc. Eng. Geol. 1984, 1, 337-342.
[18] Brabb, E. Innovative approaches to landslide hazard and risk mapping, proeeedings of the fourth international symposium on landslide. Toronto. 1984, 1, 307-323.
[19] Van Westen, C. J.; Rengers, N.; Terlien M. T. J, Soeters, R. Prediction of the occurrence of slope instability phenomenal through GIS-based hazard zonation. Geol. Rundsch. 1997, 86, 404-414.
[20] Lee, S.; Ryu, J.; Min, K. Development and application of landslides susceptibility analysis techniques using Geographic Information system (GIS), IEEE. 2000, 1 319-321.
[21] Constantin, M.; Bednarik, M.; Jurchescu, M. C, Vlaicu, M. Landslide susceptibility assessment using the bivariate statistical analysis and the index of entropy in the sibiciu basin (Romania). Environ. Earth Sci. 2011, 63, 397-406.
[22] Süzen, M. L.; Doyuran, V. A comparison of the GIS based landslide susceptibility assessment methods: multivariate versus bivariate. Environ. Geol. 2004, 45, 665-679.
[23] Fernandez, T.; Irigaray, C.; Hamdouni, R. E.; Chacon, J. Methodology for landslide susceptibility mapping by means of a GIS, application to the contraviesa area (Granada, Spain). Nat. Hazards. 2003, 30, 297–308.
[24] Yilmaz, I.; Yildirim, M. Structural and geomorphological aspects of the kat landslides (Tokat-Turkey) and susceptibility mapping by means of GIS. Environ. Geol. 2006, 50, 461–472.
[25] Fell, R.; Corominas, J.; Bonnard, C.; Cascini, L.; Leroi, E.; Savage, W. Z. Guidelines for landslide susceptibility, hazard and risk-zoning for land use planning. Eng. Geol. 2008, 102, 85–98.
[26] Mason, P. J.; Rosenbaum, M. S. Geohazard mapping for predicting landslides: an example from the langhe hills in Piemonte, N. W. Italy. Q. J. Eng. Geol. Hydrogeol. 2002, 35, 317–326.
[27] Baillifard, F.; Jaboyedoff, M.; Sartori, M. Rockfall hazard mapping along a mountainous road in switzerland using a GIS-based parameter rating approach. Nat. Hazards. Earth. Syst. Sci. 2003, 3, 431–438.
[28] Mancini, F.; Ce-ppi, C.; Ritrovato, G. GIS and statistical analysis for landslide susceptibility mapping in the daunia area, Italy. Nat. Hazard. Earth. Syst. Sci. 2010, 10, 1851–1864.
[29] Paulin, G. L.; Bursik, M.; Hubp, J. L.; Mejia, L. M. P.; Quesada, F. A. A GIS method for landslide inventory and susceptibility mapping in the Rio El Estado watershed. Pico. de Orizaba. Volcano. Mexico. Nat. Hazards. 2014, 71, 229 241.
[30] Liu, J. M.; Gao, M. T.; Wu, S. R.; Wang, T.; Wu, J. A hazard assessment method for potential earthquake-induced landslides-a case Study in huaxian county, shaanxi province. Acta. Geol. Sin. 2016, 90.
[31] Kaur, H.; Gupta, S.; Parkash, S. Comparative evaluation of various approaches for landslide hazard zoning: a critical review in Indian perspectives. Spat. Inf. Res. 2017, 25, 389-398.
[32] Azimi, S. R.; Nikraz, H.; Yazdani-Chamzini, A. Landslide risk assessment by using a new combination model based on a fuzzy inference system method. Ksce. J. Civ. Eng, 2018, 22, 4263-4271.
[33] Saroglou, C. GIS-based rockfall susceptibility zoning in Greece. Geosciences. 2019, 9, 163.
[34] Tan, Q.; Huang, Y.; Hu, J, Zhou, P. Application of artificial neural network model based on GIS in geological hazard zoning. Neural. Comput. Appl. 2021, 33, 591-602.
[35] Ministry of Land and Resources of the People's Republic of China. National geological disaster Bulletin (January December 2006). Beijing, Ministry of Land and Resources of the People's Republic of China, 2006. (in Chinese).
[36] Ministry of Land and Resources of the People's Republic of China. National geological disaster Bulletin (January December 2008). Beijing, Ministry of Land and Resources of the People's Republic of China, 2008. (in Chinese).
[37] Ministry of Land and Resources of the People's Republic of China. National geological disaster Bulletin (January December 2010). Beijing, Ministry of Land and Resources of the People's Republic of China, 2010. (in Chinese).
[38] Ministry of Land and Resources of the People's Republic of China. National geological disaster Bulletin (January December 2012). Beijing, Ministry of Land and Resources of the People's Republic of China, 2012. (in Chinese).
[39] Ministry of Land and Resources of the People's Republic of China. National geological disaster Bulletin (January December 2014). Beijing, Ministry of Land and Resources of the People's Republic of China, 2014. (in Chinese).
[40] Ministry of Land and Resources of the People's Republic of China. National geological disaster Bulletin (January December 2016) [R]. Beijing, Ministry of Land and Resources of the People's Republic of China, 2016. (in Chinese).
[41] Ministry of Land and Resources of the People's Republic of China. National geological disaster Bulletin (January December 2018)[R]. Beijing, Ministry of Land and Resources of the People's Republic of China, 2018. (in Chinese).
[42] Liu, S. Research and application of geological hazard zoning evaluation model, Private technology, 2016, 39. (in Chinese).
[43] Wang, Z.; Yi, F. Geological hazard zoning and its research status in China, China Mining, 2006, 47-50. (in Chinese).
[44] Xiang, X.; Huang, R. Q. Application of neural network in GIS hazard zoning. Chinese Journal of geological hazards and Prevention, 2000, 11, 23-27. (in Chinese).
[45] Shen, F.; Huang, R. Q.; Miao, F, Luo, W. Q. GIS technology for regional geological environment assessment and disaster prediction. Mountain Journal, 1999, 17, 338-342. (in Chinese).
[46] Shen, F.; Huang, R. Q.; Miao, F, Xu, Q. GIS and geological environment evaluation. Geological hazards and environmental protection, 2000, 11, 6-10. (in Chinese).
Cite This Article
  • APA Style

    Chaoyang Li, Bo Xiang, Duo Qian, Jianjing Zhang, Yin Cheng. (2022). GIS-Based Geological Hazard Mapping Using Statistical Analysis and Cell Assignment Method for Western Sichuan Region, China. Earth Sciences, 11(3), 50-62. https://doi.org/10.11648/j.earth.20221103.11

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    ACS Style

    Chaoyang Li; Bo Xiang; Duo Qian; Jianjing Zhang; Yin Cheng. GIS-Based Geological Hazard Mapping Using Statistical Analysis and Cell Assignment Method for Western Sichuan Region, China. Earth Sci. 2022, 11(3), 50-62. doi: 10.11648/j.earth.20221103.11

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    AMA Style

    Chaoyang Li, Bo Xiang, Duo Qian, Jianjing Zhang, Yin Cheng. GIS-Based Geological Hazard Mapping Using Statistical Analysis and Cell Assignment Method for Western Sichuan Region, China. Earth Sci. 2022;11(3):50-62. doi: 10.11648/j.earth.20221103.11

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  • @article{10.11648/j.earth.20221103.11,
      author = {Chaoyang Li and Bo Xiang and Duo Qian and Jianjing Zhang and Yin Cheng},
      title = {GIS-Based Geological Hazard Mapping Using Statistical Analysis and Cell Assignment Method for Western Sichuan Region, China},
      journal = {Earth Sciences},
      volume = {11},
      number = {3},
      pages = {50-62},
      doi = {10.11648/j.earth.20221103.11},
      url = {https://doi.org/10.11648/j.earth.20221103.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.earth.20221103.11},
      abstract = {Geological hazards pose severe threats to the natural ecological environment, which endanger human life, cause damage to the environment, and undermine social stability. Studying geological hazards is intended to minimize or reduce any potential losses or threats. Although geotechnical hazards present a complex problem, hazard mapping and zoning studies can improve predictions and reduce losses. Based on the principle of geological hazard zoning, this paper describes a GIS-based approach to regional mapping for geological hazards, including collapse, landslide, debris flow, and overall geological hazards. First, four main factors affecting the occurrence of geological hazards, namely, digital elevation model (DEM), soil property, vegetation type, and average annual rainfall, are determined for analysis. Afterward, the investigated region of western Sichuan province, China, is divided into cells using GIS. The factors are then valued and assigned to the cells for statistical analysis. According to the relationship between the development/occurrence of geological hazards and various influencing factors, the region is first zoned with different degrees of susceptibility. Moreover, the response degree values for different levels of susceptibility to different influencing factors are determined for each cell, and then the superposition values of response degree for each cell are calculated for different geological hazards. Finally, the mapping of each geological hazard is done based on the calculated superposition value ranges. The mapping result demonstrates that the proposed approach is efficient and practical for determining the hazard susceptibility of regional geological hazards in western Sichuan province. The conclusions of this study can provide valuable information regarding the prevention and management of similar disasters in a region.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - GIS-Based Geological Hazard Mapping Using Statistical Analysis and Cell Assignment Method for Western Sichuan Region, China
    AU  - Chaoyang Li
    AU  - Bo Xiang
    AU  - Duo Qian
    AU  - Jianjing Zhang
    AU  - Yin Cheng
    Y1  - 2022/05/19
    PY  - 2022
    N1  - https://doi.org/10.11648/j.earth.20221103.11
    DO  - 10.11648/j.earth.20221103.11
    T2  - Earth Sciences
    JF  - Earth Sciences
    JO  - Earth Sciences
    SP  - 50
    EP  - 62
    PB  - Science Publishing Group
    SN  - 2328-5982
    UR  - https://doi.org/10.11648/j.earth.20221103.11
    AB  - Geological hazards pose severe threats to the natural ecological environment, which endanger human life, cause damage to the environment, and undermine social stability. Studying geological hazards is intended to minimize or reduce any potential losses or threats. Although geotechnical hazards present a complex problem, hazard mapping and zoning studies can improve predictions and reduce losses. Based on the principle of geological hazard zoning, this paper describes a GIS-based approach to regional mapping for geological hazards, including collapse, landslide, debris flow, and overall geological hazards. First, four main factors affecting the occurrence of geological hazards, namely, digital elevation model (DEM), soil property, vegetation type, and average annual rainfall, are determined for analysis. Afterward, the investigated region of western Sichuan province, China, is divided into cells using GIS. The factors are then valued and assigned to the cells for statistical analysis. According to the relationship between the development/occurrence of geological hazards and various influencing factors, the region is first zoned with different degrees of susceptibility. Moreover, the response degree values for different levels of susceptibility to different influencing factors are determined for each cell, and then the superposition values of response degree for each cell are calculated for different geological hazards. Finally, the mapping of each geological hazard is done based on the calculated superposition value ranges. The mapping result demonstrates that the proposed approach is efficient and practical for determining the hazard susceptibility of regional geological hazards in western Sichuan province. The conclusions of this study can provide valuable information regarding the prevention and management of similar disasters in a region.
    VL  - 11
    IS  - 3
    ER  - 

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Author Information
  • Sichuan Provincial Highway Planning, Survey and Design Research Institute Co., Ltd., Chengdu, China

  • Sichuan Provincial Highway Planning, Survey and Design Research Institute Co., Ltd., Chengdu, China

  • School of Civil Engineering, Southwest Jiaotong University, Chengdu, China

  • School of Civil Engineering, Southwest Jiaotong University, Chengdu, China

  • School of Civil Engineering, Southwest Jiaotong University, Chengdu, China

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