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Landslide Susceptibility Mapping along Bhalubang–Shiwapur Area of Mid-Western Nepal Using Frequency Ratio and Conditional Probability Models

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Journal of Mountain Science 2014年第5期11卷 1266-1285页

作者： amar deep regmi Kohki YOSHIDA Hamid Reza POURGHASEMI Megh Raj DHITAL Biswajeet PRADHAN Faculty of Technology Nepal Academy of Science and Technology Department of Geology Faculty of Science Shinshu University College of Natural Resources & Marine Sciences Tarbiat Modares University (TMU) Noor 14115-335 Tehran Iran Central Department of Geology Tribhuvan University Faculty of Engineering Department of Civil Engineering Geosptial Information Science Research Centre (GISRC) University of Putra Malaysia Serdang Selangor Darul Ehsan 43400 Malaysia

Roads constructed in fragile Siwaliks are prone to large number of instabilities. Bhalubang–Shiwapur section of Mahendra Highway lying in Western Nepal is one of them. To understand the landslide causative factor and to predict future occurrence of the landslides, landslide susceptibility mapping(LSM) of this region was carried out using frequency ratio(FR) and weights-of-evidence(W of E) models. These models are easy to apply and give good results. For this, landslide inventory map of the area was prepared based on the aerial photo interpretation, from previously published/unpublished reposts, and detailed field survey using GPS. About 332 landslides were identified and mapped, among which 226(70%) were randomly selected for model training and the remaining 106(30%) were used for validation purpose. A spatial database was constructed from topographic, geological, and land cover maps. The reclassified maps based on the weight values of frequency ratio and weights-of-evidence were applied to get final susceptibility maps. The resultant landslide susceptibility maps were verified andcompared with the training data, as well as with the validation data. From the analysis, it is seen that both the models were equally capable of predicting landslide susceptibility of the region(W of E model(success rate = 83.39%, prediction rate = 79.59%); FR model(success rate = 83.31%, prediction rate = 78.58%)). In addition, it was observed that the distance from highway and lithology, followed by distance from drainage, slope curvature, and slope gradient played major role in the formation of landsides. The landslide susceptibility maps thus produced can serve as basic tools for planners and engineers to carry out further development works in this landslide prone area.

关键词：滑坡灾害概率模型空间数据库频率比尼泊尔中西部面积山体滑坡

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Landslide susceptibility assessment of the region affected by the 25 April 2015 Gorkha earthquake of Nepal

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山地科学学报（英文） 2016年第11期13卷 1941-1957页

作者： amar deep regmi Megh Raj Dhital ZHANG Jian-qiang SU Li-jun CHEN Xiao-qing Key Laboratory of Mountain Hazards and Earth Surface Process Institute of Mountain Hazards and EnvironmentCASChengdu 610041China Central Department of Geology Tribhuvan UniversityKirtipur 44613Nepal

Nepal was hit by a 7.8 magnitude earthquake on 25^(th) April,*** main shock and many large aftershocks generated a large number of coseismic landslips in central *** have developed a landslide susceptibility map of the affected region based on the coseismic landslides collected from remotely sensed data and fieldwork,using bivariate statistical model with different landslide causative *** the investigation,it is observed that most of the coseismic landslides are independent of previous *** of 3,716 mapped landslides,we used 80% of them to develop a susceptibility map and the remaining 20% were taken for validating the model.A total of 11 different landslide-influencing parameters were *** include slope gradient,slope aspect,plan curvature,elevation,relative relief,Peak Ground Acceleration(PGA),distance from epicenters of the mainshock and major aftershocks,lithology,distance of the landslide from the fault,fold,and drainage *** success rate of 87.66% and the prediction rate of86.87% indicate that the model is in good agreement between the developed susceptibility map and theexisting landslides ***,lithology,slope angle and elevation have played a major role in triggering the coseismic mass *** susceptibility map can be used for relocating the people in the affected regions as well as for future land development.

关键词：地震 Himalaya Coseismic 山崩危险性 bivariate 统计模型尼泊尔

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An international program on Silk Road Disaster Risk Reduction--a Belt and Road initiative (2016-2020)

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Journal of Mountain Science 2018年第7期15卷 1383-1396页

作者： LEI Yu CUI Peng amar deep regmi Virginia MURRAY Alessandro PASUTO Giacomo TITTI Muhammad SHAFIQUE Tilak PRIYADARSHANA D.G. Key Laboratory of Mountain Hazards and Earth Surface Processes/Institute of Mountain Hazards and Environment Chinese Academy of Sciences Chengdu 610041 China University of Chinese Academy of Sciences Bering 100049 China CAS Center for Excellence in Tibetan Plateau Earth Sciences Beijing 100101 China Public Health England London 133-155 England UNISDR Scientific and Technical Advisory Group Geneva Switzerland Integrated Research on Disaster Risk Scientific Committee Beijing 100094 China Research Institute for C-eo-Hydrological Protection National Research Council 4- 35127 Padova Italy National Center of excellence in Geology University of Peshawar Peshawar 25130 Pakistan Internal Quality Assurance Unit &Center for International Affairs University ofRuhuna Matara Sri Lanka

Belt and Road Initiative(BRI) is a Chinese national strategy which calls for cooperative economic, political and cultural exchange at the global level along the ancient Silk Road. The overwhelming natural hazards located along the belt and road bring great challenges to the success of BRI. In this framework, a 5-year international program was launched to address issues related to hazards assessment and disaster risk reduction(DRR). The first workshop of this program was held in Beijing with international experts from over 15 countries. Risk conditions on Belt and Road Countries(BRCs) have been shared and science and technology advancements on DRR have been disseminated during the workshop. Under this program, six task forces have been setup to carry out collaborative research works and three prioritized study areas have been established. This workshop announced the launching of this program which involved partners from different countries including Pakistan, Nepal, Russia, Italy, United Kingdom, Sri Lanka and Tajikistan. The program adopted the objectives of Sendai Framework for Disaster Risk Reduction 2015-2030 and United Nation Sustainable Development Goals 2030 and was implemented to assess disaster risk in BRCs and to propose suitable measures for disaster control which can be appropriate both for an individual country and for specific sites. This paper deals with the outcomes of the workshop and points out opportunities for the near future international cooperation on this matter.

关键词：专题讨论会国际合作合作经济危险评价巴基斯坦斯里兰卡持续开发控制建议

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