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author:

Fei, Zheng (Fei, Zheng.) [1] | Zhang, Xin (Zhang, Xin.) [2] | Liu, Guichuan (Liu, Guichuan.) [3] | Xu, Huihong (Xu, Huihong.) [4] | Chen, Yu (Chen, Yu.) [5] | Liu, Baoxian (Liu, Baoxian.) [6] | Sillanpaa, Mika (Sillanpaa, Mika.) [7] | Zhong, Wenwu (Zhong, Wenwu.) [8] | Li, Tao (Li, Tao.) [9] | Yang, Xin (Yang, Xin.) [10]

Indexed by:

SCIE

Abstract:

As one of the regions with frequent engineering construction and frequent geological disasters, the alpine gorge area of the Qinghai-Xizang Plateau is of great significance for its environmental risk assessment. This paper takes Chaya County in the region as the research object, combined with the essential data survey, using remote sensing images and a geographic information system (GIS) platform to carry out spatial statistics and analyze common geological disasters in the study area. Based on this, the SMOTE-Tomek-random forest (STRF) geological disaster evaluation model and the information method model were used to explore the impact of engineering construction on the susceptibility and vulnerability of geological disasters in the Alpine Canyon area. The results show that small geological disasters are mainly distributed in the study area, accounting for 67.95%; the vulnerability zoning of geological disasters in the study area is mainly low vulnerability area and low vulnerability area. Among them, the high vulnerability area accounts for 3.2%, and the high vulnerability area accounts for 9.86%. From the perspective of administrative regions, the vulnerability values of Yanduo Town, Xiangdui Town, and Jitang Town are higher, which is consistent with the distribution law regarding hidden danger points of geological disasters. Based on the STRF susceptibility model and the traditional random forest susceptibility model, the AUC values are all above 0.9. In the test set and training set, the accuracy of the STRF model is slightly reduced. However, the interpretability of the address disaster model in the Alpine Gorge area is enhanced. The region's susceptibility area is the highest, accounting for 50.59, 46.96, and 38.74%, respectively. The project's construction has increased the geological disaster-prone areas in the study area by 183.21 and 38.9 km2, respectively. The results show that the STRF model is feasible in assessing geological disaster susceptibility in the Alpine Canyon area.

Keyword:

Alpine and canyon areas Engineering construction Geological hazards GIS SMOTE-Tomek-RF Susceptibility assessment Vulnerability assessment

Community:

  • [ 1 ] [Fei, Zheng]Xihua Univ, Sch Architecture & Civil Engn, Chengdu 610039, Peoples R China
  • [ 2 ] [Zhang, Xin]Xihua Univ, Sch Architecture & Civil Engn, Chengdu 610039, Peoples R China
  • [ 3 ] [Liu, Guichuan]Xihua Univ, Sch Architecture & Civil Engn, Chengdu 610039, Peoples R China
  • [ 4 ] [Xu, Huihong]Xihua Univ, Sch Architecture & Civil Engn, Chengdu 610039, Peoples R China
  • [ 5 ] [Chen, Yu]Xihua Univ, Sch Architecture & Civil Engn, Chengdu 610039, Peoples R China
  • [ 6 ] [Liu, Baoxian]Xihua Univ, Sch Architecture & Civil Engn, Chengdu 610039, Peoples R China
  • [ 7 ] [Chen, Yu]Fuzhou Univ, Coll Civil Engn, Fuzhou 350116, Peoples R China
  • [ 8 ] [Chen, Yu]Fuzhou Univ, Macao & Taiwan Joint Lab Struct Engn, Int & Hong Kong, Fuzhou 350108, Peoples R China
  • [ 9 ] [Liu, Baoxian]Chengdu Technol Univ, Chengdu 611730, Peoples R China
  • [ 10 ] [Sillanpaa, Mika]Lappeenranta Univ Technol, Lab Green Chem, Sammonkatu 12, Mikkeli 50130, Finland
  • [ 11 ] [Zhong, Wenwu]Chengdu Univ Technol, Coll Environm & Civil Engn, Chengdu 610059, Sichuan, Peoples R China
  • [ 12 ] [Li, Tao]Chengdu Univ Technol, Coll Environm & Civil Engn, Chengdu 610059, Sichuan, Peoples R China
  • [ 13 ] [Yang, Xin]Pingwu Cty Housing & Urban Rural Dev Bur, Mianyang 622550, Peoples R China

Reprint 's Address:

  • [Zhang, Xin]Xihua Univ, Sch Architecture & Civil Engn, Chengdu 610039, Peoples R China;;[Liu, Baoxian]Xihua Univ, Sch Architecture & Civil Engn, Chengdu 610039, Peoples R China;;[Liu, Baoxian]Chengdu Technol Univ, Chengdu 611730, Peoples R China

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Source :

SCIENTIFIC REPORTS

ISSN: 2045-2322

Year: 2025

Issue: 1

Volume: 15

3 . 8 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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