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Landslide hazard and risk assessment and their application in risk management and landuse planning in eastern flank of Menoreh Mountains, Yogyakarta Province, Indonesia

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The Menoreh Mountains in Yogyakarta are severely affected by landslides. Due to the high population densities, mass movements are generally damaging and fatal. More than other Javanese mountains, the Menoreh Mountains cumulate several factors causing landslides. Therefore, it is necessary to evaluate the ways to map landslide risk in order to improve the risk mitigation. The objectives of this paper are to provide landslide hazard and risk assessment that will be useful for risk prevention and landuse planning in the Menoreh Mountains. So far, risk management has been developed by the Research Centre for Disasters Gadjah Mada University in collaboration with the Regional Development Planner (BAPPEDA), which carries out fundamental and applied researches. The results of the studies have been integrated in the risk prevention and landuse planning in order to improve the integrated landslide mitigation programme. Copyright Springer Science+Business Media B.V. 2010

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  • Danang Hadmoko & Franck Lavigne & Junun Sartohadi & Pramono Hadi & Winaryo, 2010. "Landslide hazard and risk assessment and their application in risk management and landuse planning in eastern flank of Menoreh Mountains, Yogyakarta Province, Indonesia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 54(3), pages 623-642, September.
    • Handle: RePEc:spr:nathaz:v:54:y:2010:i:3:p:623-642
    DOI: 10.1007/s11069-009-9490-0
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    1. C. van Westen & N. Rengers & R. Soeters, 2003. "Use of Geomorphological Information in Indirect Landslide Susceptibility Assessment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 30(3), pages 399-419, November.
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    2. Javed Mallick & Saeed Alqadhi & Swapan Talukdar & Majed AlSubih & Mohd. Ahmed & Roohul Abad Khan & Nabil Ben Kahla & Saud M. Abutayeh, 2021. "Risk Assessment of Resources Exposed to Rainfall Induced Landslide with the Development of GIS and RS Based Ensemble Metaheuristic Machine Learning Algorithms," Sustainability, MDPI, vol. 13(2), pages 1-30, January.
    3. Danang Sri Hadmoko & Franck Lavigne & Guruh Samodra, 2017. "Application of a semiquantitative and GIS-based statistical model to landslide susceptibility zonation in Kayangan Catchment, Java, Indonesia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(1), pages 437-468, May.
    4. Bucała-Hrabia, Anna & Kijowska-Strugała, Małgorzata & Śleszyński, Przemysław & Rączkowska, Zofia & Izdebski, Waldemar & Malinowski, Zbigniew, 2022. "Evaluating the use of the landslide database in spatial planning in mountain communes (the Polish Carpathians)," Land Use Policy, Elsevier, vol. 112(C).

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