A hybrid model using data mining and multi-criteria decision-making methods for landslide risk mapping at Golestan Province, Iran

Author:

Rafiei Sardooi Elham,Azareh Ali,Mesbahzadeh Tayyebeh,Soleimani Sardoo Farshad,Parteli Eric J. R.,Pradhan Biswajeet

Publisher

Springer Science and Business Media LLC

Subject

Earth-Surface Processes,Geology,Pollution,Soil Science,Water Science and Technology,Environmental Chemistry,Global and Planetary Change

Reference161 articles.

1. Abay A, Barbieri G, Woldearegay K (2019) GIS-based landslide susceptibility evaluation using analytical hierarchy process (AHP) approach: the case of tarmaber district Ethiopia Momona Ethiopian. J Sci 11(1):14–36

2. Abdulwahid WM, Pradhan B (2017) Landslide vulnerability and risk assessment for multi-hazard scenarios using airborne laser scanning data (LiDAR). Landslides 14(3):1057–1076

3. Abedini M, Ghasemian B, Shirzadi A (2014) Modeling landslide hazard using statistical model of logistic regression (case study: Kurdistan province, Bijar city). Geography Dev 37:85–102 (In Persian)

4. Achour Y, Pourghasemi HR (2020) How do machine learning techniques help in increasing accuracy of landslide susceptibility maps? Geoscientif Front 11(3):871–883

5. Adineh F, Motamedvaziri B, Ahmadi H, Moeini A (2018) Landslide susceptibility mapping using genetic algorithm for the rule set production (GARP) model. J Mt Sci 15(9):2013–2026

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