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Modeling landslides hazard along Amman–Jerash–Irbid Highway, Jordan by integrating open street map (OSM) and weighted linear combination (WLC) techniques

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Abstract

Many critical landslides frequently occur along the Amman–Jerash–Irbid Highway (AJIH) in Jordan causing many disastrous consequences. Landslides Susceptibility Mapping (LSM) is important for land use planning and risk management. The study presented in this research developed a landslide hazard map by integrating the Geographic Information System (GIS) and the Fuzzy Analytical Hierarchy Process (FAHP) method. This integration was based on the analysis of ten thematic layers believed to influence landslide occurrence in the study area. Our landslide hazard map is classified into five hazard classes: very high (8.9%), high (20.7%), moderate (26.9%), low (29.2%), and very low (14.3%), which was validated by comparison with an existing landslide inventory map. It was found that lithology, slope, and drainage are the most important factors contributing to mass wasting in the AJIH. The comparison showed that 97.62% of the inventory of landslides were located in the unstable areas (classified as very high and high) of the hazard map, thereby validating our map’s results. We believe our proposed hazard map is a reliable tool for development and construction planning to mitigate the potential social-eco impact caused by landslides.

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Data availability

The datasets used in this study are available from the corresponding author on reasonable request.

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Funding

All the authors acknowledge the funding received from the World Federation of Scientists (Geneve) (grant no. 2021) and the Deanship of Scientific Research and Higher Studies at Yarmouk University (grant no. 2020).

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All the authors were involved in the data interpretation, discussion of the results, and paper writing.

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Correspondence to Muheeb Awawdeh.

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Al-Rawabdeh, A., Awawdeh, M., Al Quraan, H. et al. Modeling landslides hazard along Amman–Jerash–Irbid Highway, Jordan by integrating open street map (OSM) and weighted linear combination (WLC) techniques. Model. Earth Syst. Environ. 10, 2547–2565 (2024). https://doi.org/10.1007/s40808-023-01910-3

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