Abstract
Geohazards along highways are the main natural hazards that could affect the safety and operation of highway systems. Understanding the risks faced by highways in areas affected by geohazards is an urgent problem to be solved. This study used historical geohazard events from Sichuan Province and highway network data to propose a geohazard risk index that reflects the risk geohazards along highways. Furthermore, this work applied the entropy method and expert scoring to calculate the weight of the index. The spatial distributions of landslides, debris flows, collapses, and unstable slopes along the highways were analysed based on ArcGIS spatial statistics, and the highway geohazard intensity index were obtained. The relationships between slope, rainfall, vegetation coverage, rock type, land use, and incision depth with geohazards were analysed, and the highway geohazard susceptibility index was calculated by the weighted information method. Based on the intensity and susceptibility index, we obtained a geohazard risk index which can better evaluate the risk of highways, and made a highway geohazard risk map to aid the prevention and mitigation of geohazards along highways and assist with highway network planning.
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Reference
Amatya P, Kirschbaum D, Stanley T (2019) Use of very high-resolution optical data for landslide mapping and susceptibility analysis along the Karnali highway, Nepal. Remote Sens 11(19) https://doi.org/10.3390/rs11192284
Bi H, Nie L, Zeng C, et al. (2022) Geological hazard susceptibility evaluation in Wenchuan area based on three models of multivariate instability index analysis. Chin J Geol Hazard Control 33(1): 123–131. (In Chinese) https://doi.org/10.16031/j.cnki.issn.1003-8035.2022.01-15
Chen C, Sun F (2022) Flood damage assessments based on entropy weight-grey relational analyses. J Tsinghua Univ, Sci Technol 62(6): 1067–1073. (In Chinese) https://doi.org/10.16511/j.cnki.qhdxxb.2022.22.024
Ding J, Zhou S, Yang Z, et al. (2005) Quantitative assessment of geological hazards in segment between Ranwu and Dongjiu in Sichuan- Tibet highway:presentation and application of concept of “geological hazard entropy”. J Nat Disasters 14(4): 79–84. (In Chinese)
Fan L, Hu R, Zeng F, et al. (2012) Application of weighted information value model to landslide susceptibility assessmenta case study of Enshi city, Hubei province. J Eng Geo 20(4): 508–513. (In Chinese)
Getis A, Ord JK (1992) The analysis of spatial association by use of distance statistics. Geog Anal. https://doi.org/10.1111/j.1538-4632.1992.tb00261.x
Goumrasa A, Guendouz M, Guettouche MS, et al. (2021) Flood hazard susceptibility assessment in Chiffa Wadi watershed and along the first section of Algeria North-South highway using GIS and AHP method. Appl Geomat 13(4): 565–585. https://doi.org/10.1007/s12518-021-00381-4
Guo J, Huang H, Li G (2017) Basic characteristics and meteorological risk assessment of highway geological hazard in Sichuan province. Plateau Mt Meteor Res 37(03): 82–86. (In Chinese) https://doi.org/10.3969/j.issn.1674-2184.2017.03.013
Hong HY, Pourghasemi HR, Pourtaghi ZS (2016) Landslide susceptibility assessment in Lianhua county (China): a comparison between a random forest data mining technique and bivariate and multivariate statistical models. Geomorphology (Amst) 259: 105–118. https://doi.org/10.1016/j.geomorph.2016.02.012
Hu J, Xu B, Chen Z, et al. (2021) Hazard and risk assessment for hydraulic fracturing induced seismicity based on the Entropy-Fuzzy-AHP method in southern Sichuan basin, China. J Nat Gas Sci Eng 90: 103908. https://doi.org/10.1016/j.jngse.2021.103908
Jang J-S, Sun C-T (1995) Neuro-fuzzy modeling and control. Proc. IEEE 83(3): 378–406. https://doi.org/10.1109/5.364486
Jia X, Xu J, Yang H, et al. (2012) Calculation of broken index of surface based on GIS. J Chongqing Univ 35(11): 126–130. (In Chinese) https://doi.org/10.11835/j.issn.1000-582X.2012.11.021
Jiang N, Su FH, Li Y, et al. (2021) Debris flow assessment in the Gaizi-Bulunkou section of Karakoram highway. Front Earth Sci. 9 https://doi.org/10.3389/feart.2021.660579
Kanungo DP, Arora MK, Sarkar S (2006) A comparative study of conventional, ANN black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling Himalayas. Eng Geol (3/4): 85. https://doi.org/10.1016/j.enggeo.2006.03.004
Kim H-S, Chung C-K, Kim S-R, et al. (2016) A GIS-Based framework for real-time debris-flow hazard assessment for expressways in Korea. Int J Disaster Risk Sci 7(3): 293–311. https://doi.org/10.1007/s13753-016-0096-3
Kim SM, Choi Y (2017) Assessing statistically significant heavy-metal concentrations in abandoned mine areas via hot spot analysis of portable XRF data. Int J Environ Res Public Health 14(6). https://doi.org/10.3390/ijerph14060654
Kosko B, Isaka S (1993) Fuzzy logic. Sci Am 269(1): 76–81.
Li J, Yin C, Tian W, et al. (2015) Vulnerability assessment of natural disasters of Chinese highway. J Beijing Univ Technol 41(007): 1067–1072. (In Chinese) https://doi.org/10.11936/bjutxb2014120077
Li S, Jia Y, Yang T, et al. (2020) Formation condition analysis of geohazards along Chuanzhusi-Jiuzhaigou highway based on their spatial distribution. Geo Geo-Inf Sci 36(3): 104–109. (In Chinese)
Li XN, Ling SX, Sun CW, et al. (2019) Integrated rockfall hazard and risk assessment along highways: an example for Jiuzhaigou area after the 2017 Ms 7.0 Jiuzhaigou earthquake, China. J Mt Sci 16(6): 1318–1335. https://doi.org/10.1007/s11629-018-5355-x
Li X, Xue G, Liu C, et al. (2022) Evaluation of geohazard susceptibility based on information value model and information value-logistic regression model: a case study of the central mountainous area of Hainan Island. J Geomech 28(2): 294–305. (In Chinese) https://doi.org/10.12090/j.issn.1006-6616.2021111
Liu K, Wang M, Cao Y, et al. (2018) Susceptibility of existing and planned Chinese railway system subjected to rainfall-induced multi-hazards. Transp Res Part A Policy Pract 117: 214–226. https://doi.org/10.1016/j.tra.2018.08.030
Marcelino P, Lurdes Antunes Md, Fortunato E (2018) Comprehensive performance indicators for road pavement condition assessment. Struct Infrastruct Eng 14(11): 1433–1445. https://doi.org/10.1080/15732479.2018.1446179
Mccall G, Laming D, Scott SC (1992) Geohazards: Natural and Man-made. United States.
Meng X, Pei X, Liu Q, et al. (2016) GIS-Based susceptibility assessment of geological hazards along the road from Dujiangyan to Wenchuan by factor analysis. Chin J Geol Hazard Control 27(3): 106–115. (In Chinese) https://doi.org/10.16031/j.cnki.issn.1003-8035.2016.03.16
Nefeslioglu HA, Sezer EA, Gokceoglu C, et al. (2013) A modified analytical hierarchy process (M-AHP) approach for decision support systems in natural hazard assessments. Comput Geosci 59: 1–8. https://doi.org/10.1016/j.cageo.2013.05.010
Orejuela IP, Toulkeridis T (2020) Evaluation of the susceptibility to landslides through diffuse logic and analytical hierarchy process (AHP) between Macas and Riobamba in Central Ecuador. 2020 Seventh International Conference on eDemocracy & eGovernment (ICEDEG), Buenos Aires, Argentina. pp 201–207
Pourghasemi HR, Mohammady M, Pradhan B (2012) Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran. Catena (Amst) 97: 71–84. https://doi.org/10.1016/j.catena.2012.05.005
Qi HL, Tian WP, Zhao F (2016) Risk assessment of snow disaster for trunk highway transportation in Shaanxi, China. Nat Hazard 85(1): 523–536. https://doi.org/10.1007/s11069-016-2584-6
Saaty TL, Kearns KP (1985) The Analytic hierarchy process. Anal PLAN.
Salcedo D, Padilla Almeida O, Morales B, et al. (2022) Smart city planning based on landslide susceptibility mapping using fuzzy logic and multi-criteria evaluation techniques in the city of Quito, Ecuador. Doctoral Symposium on Information and Communication Technologies-DSICT. pp 89–103
Shannon CE (1948) A mathematical theory of communication. Bell Syst Tech J 27(4): 623–656. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
Sharma R, Mehta B (2012) Macro-zonation of landslide susceptibility in Garamaura-Swarghat-Gambhar section of national highway 21, Bilaspur district, Himachal Pradesh (India). Nat Hazard 60(2): 671–688. https://doi.org/10.1007/s11069-011-0041-0
Sun J, Qin S, Qiao S, et al. (2021) Exploring the impact of introducing a physical model into statistical methods on the evaluation of regional scale debris flow susceptibility. Na. Hazard 106(1): 881–912. https://doi.org/10.1007/s11069-020-04498-4
Tempa K, Chettri N, Aryal KR, et al. (2021) Geohazard vulnerability and condition assessment of the Asian highway AH-48 in Bhutan. Geomatics Nat Hazards Risk 12(1): 2904–2930. https://doi.org/10.1080/19475705.2021.1980440
Togia H, Francis OP, Kim K, et al. (2019) Segment-based approach for assessing hazard risk of coastal highways in Hawai ‘i. Transp Res Rec 2673(1): 83–91. https://doi.org/10.1177/0361198118821679
Tzampoglou P, Loupasakis C (2017) Mining geohazards susceptibility and risk mapping: the case of the Amyntaio open-pit coal mine, west Macedonia, Greece. Environ Earth Sci 76(15) https://doi.org/10.1007/s12665-017-6866-4
Vaani N, Sekar SK (2012) Regional landslide hazard zonation and vulnerability analysis using AHP and GIS - a case study of Nilgiris district, Tamil Nadu, India. Disaster Adv 5(4): 171–176.
Vahidnia MH, Alesheikh A, Alimohammadi A, et al. (2008) Fuzzy analytical hierarchy process in GIS application. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. ISPRS Archives 37(B2): 593–596.
Vaidya OS, Kumar S (2006) Analytic hierarchy process: an overview of applications. Eur J Oper Res 169(1): 1–29. https://doi.org/10.1016/j.ejor.2004.04.028
Wang J, Guo J, Wang W, et al. (2012) Application and comparison of weighted linear combination model and logistic regression model in landslide susceptibility mapping. J Cent South Univ Sci Technol 43(5): 1932–1939. (In Chinese)
Wang NT, Shi TT, Peng K, et al. (2015) Assessment of geohazard susceptibility based on RS and GIS analysis in Jianshi county of the Three Gorges Reservoir, China. Arabian J Geosci 8(1): 67–86. https://doi.org/10.1007/s12517-013-1196-7
Xiao W, Tian WP (2019) Hazard assessment and zoning of collapse along highways in China based on backward cloud algorithm. Geomatics Nat. Hazards Risk 10(1): 1227–1241. https://doi.org/10.1080/19475705.2018.1502691
Xu Z (2006) Proposing the frame and measures for prevention and cure system of geological disasters in Sichuan province. Geol Prospect 42(4): 97–102. (In Chinese)
Yalcin A (2008) GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): comparisons of results and confirmations. Catena (Amst) 72(1): 1–12. https://doi.org/10.1016/j.catena.2007.01.003
Yang H, Zhao Y, Cheng Q (2020) Geohazards regionalization along highways in Shandong province, China. Geomatics Nat Hazards Risk 11(1): 1760–1781. https://doi.org/10.1080/19475705.2020.1810139
Zadeh LA (1988) Fuzzy logic. Computer 21(4): 83–93. https://doi.org/10.1109/2.53
Zhang N, Huang H, Su B, et al. (2015) Analysis of dynamic road risk for pedestrian evacuation. Physica A 430: 171–183. https://doi.org/10.1016/j.physa.2015.02.082
Zhuang J, Peng J, Zhu X, et al. (2016) Spatial distribution and susceptibility zoning of geohazards along the Silk Road, Xian-Lanzhou. Environ. Earth Sci 75(8): 711. https://doi.org/10.1007/s12665-016-5428-5
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This research was funded by Chang’an University (Xi’an, China) through the National Key Research & Development Program of China (2020YFC1512003).
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Yang, Hz., Dong, Jy. & Guo, Xl. Geohazards and risk assessment along highway in Sichuan Province, China. J. Mt. Sci. 20, 1695–1711 (2023). https://doi.org/10.1007/s11629-022-7500-9
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DOI: https://doi.org/10.1007/s11629-022-7500-9