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Application of AHP-ICM and AHP-EWM in Collapse Disaster Risk Mapping in Huinan County

Bibliographic Data

ID22032629
AuthorsZengkang Lu (Changchun Institute of Technology), Chenglong Yu (0000-0003-2961-1641, Changchun Institute of Technology, corresponding author), Huanan Liu (0000-0002-5578-408X, Changchun Institute of Technology), Rui Wang (0000-0001-7155-3356, Northeast Normal University), Jiquan Zhang (0000-0002-2396-1782, Northeast Normal University), Yichen Zhang (0009-0002-2097-0840, Changchun Institute of Technology), Jie Wang (0000-0003-3564-6808, Changchun Institute of Technology), Yanan Chen (0000-0002-6346-6372, Changchun Institute of Technology)
Year2023
Volume12
Issue10
Pages395
Publication date2023-09-28
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi12100395
OpenAlexW4387132079
LanguageEN
Citations received1
References cited53

Collapses are one of the most common geological disasters in mountainous areas, which easily damage buildings and infrastructures and bring huge property losses to people’s production and life. This paper uses Huinan County as the study area, and with the help of a geographic information system (GIS) based on the formation principle of natural disaster risk, the information content method (ICM), the analytical hierarchy process (AHP), and the analytical hierarchy process–information content method (AHP-ICM) model are applied to hazard mapping, and the analytical hierarchy process-entropy weight method (AHP-EWM) model is applied to exposure, vulnerability and emergency responses, and recovery capability mapping. A risk mapping model for collapse disasters was also constructed using these four elements. Firstly, an inventory map of 52 landslides was compiled using remote sensing interpretation, field verification, and comprehensive previous survey data. Then, the study area mapping units were delineated using the curvature watershed method in the slope unit, and 21 indicators were used to draw the collapse disaster risk zoning map by considering the four elements of geological disaster risk. The prediction accuracy of the three hazard mapping models was verified using the receiver operating characteristic (ROC) curve, and the area under the curve (AUC) results of the AHP, ICM, and AHP-ICM models were 80%, 85.7%, and 87.4%, respectively. After a comprehensive comparison, the AHP-ICM model is the best of the three models in terms of collapse hazard mapping, and it was applied to collapse risk mapping with the AHP-EWM model to produce a reasonable and reliable collapse risk zoning map, which provides a basis for collapse management and decision making

Analytic hierarchy process · Cartography · Civil engineering · Computer security · Data mining · Geographic information system · Geography · Geotechnical engineering · Hazard · Landslide · Natural hazard · Operations research · Pairwise comparison · Risk assessment · Computer Science · Engineering · Flood Risk Assessment and Management · Geotechnical Engineering and Analysis · Landslides and related hazards · Artificial Intelligence

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Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

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