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GIS-based Frequency Ratio and Logistic Regression Modelling for Landslide Susceptibility Mapping of Debre Sina Area in Central Ethiopia

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Journal of Mountain Science 2015年第6期12卷 1355-1372页

作者： Matebie METEN Netra Prakash BHANDARY ryuichi yatabe Geo-Disaster Research Laboratory Graduate School of Science and Engineering Ehime University

Ethiopia has a mountainous landscape which can be divided into the Northwestern and Southeastern plateaus by the Main Ethiopian Rift and Afar Depression. Debre Sina area is located in Central Ethiopia along the escarpment where landslide problem is frequent due to steep slope, complex geology, rift tectonics, heavy rainfall and seismicity. In order to tackle this problem, preparing a landslide susceptibility map is very important. For this, GISbased frequency ratio(FR) and logistic regression(LR) models have been applied using landslide inventory and the nine landslide factors(i.e. lithology, land use, distance from river & fault, slope, aspect, elevation, curvature and annual rainfall). Database construction, weighting each factor classes or factors, preparing susceptibility map and validation were the major steps to be undertaken. Both models require a rasterized landslide inventory and landslide factor maps. The former was classified into training and validation landslides. Using FR model, weights for each factor classes were calculated and assigned so that all the weighted factor maps can be added to produce a landslide susceptibility map. In the case of LR model, the entire study area is firstly divided into landslide and non-landslide areas using the training landslides. Then, these areas are changed into landslide and non-landslide points so as to extract the FR maps of the nine landslide factors. Then a linear relationship is established between training landslides and landslide factors in SPSS. Based on this relationship, the final landslide susceptibility map is prepared using LR equation. The success-rate and prediction-rate of FR model were 74.8% and 73.5%, while in case of LR model these were 75.7% and 74.5% respectively. A close similarity in the prediction and validation rates showed that the model is acceptable. Accuracy of LR model is slightly better in predicting the landslide susceptibility of the area compared to FR model.

关键词： Landslide susceptibility GIS Frequency Ratio Logistic Regression Debre Sina Ethiopia

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The Impact of Retrofitting Work on Awareness Raising and Knowledge Transfer in Aceh Province,Indonesia

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International Journal of Disaster Risk Science 2013年第4期4卷 182-189页

作者： Hari Darshan Shrestha Jishnu Subedi ryuichi yatabe Netra Prakash Bhandary Department of Civil Engineering Institute of EngineeringTribhuvan UniversityPulchowkKathmanduNepal Graduate School of Science and Engineering Ehime UniversityMatsuyamaEhime 790-8577Japan

Some of the buildings in Aceh Province,Indonesia constructed after the 2004 earthquake and tsunami disaster were found *** vulnerable buildings were retrofitted to make them safer and child *** the Children,one of the implementing agencies,assumed that the process of retrofitting would attract interest from the communities,raise their earthquake awareness,stimulate earthquake safe construction practices,and contribute to earthquake disaster risk *** was also assumed that the retrofitting process would benefit the communities through knowledge transfer of safer construction *** assess the impact on awareness and knowledge transfer of the retrofitting work carried out by Save the Children from 2005 to 2008,a survey was carried out in 2009.A total of 104 people who were directly involved in the retrofitting/rehabilitation process were *** survey covered four districts in Aceh Province,Indonesia where schools,health facilities,and houses were *** survey results show that the respondents felt that the impact of retrofitting work on transferring knowledge in the communities was not ***,the respondents felt that the retrofitting work had a definite impact on raising awareness of disaster risks and measures for disaster risk reduction.

关键词： disaster fitted Impact

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GIS-based landslide susceptibility zonation for roadside slope repair and maintenance in the Himalayan region

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Episodes 2008年第4期31卷 384-391页

作者： Bhoj Raj Pantha ryuichi yatabe Netra Prakash Bhandary Graduate School of Science and Engineering Ehime University Bunkyo-cho 790-8577 Matusyama City Ehime Japan Faculty of Engineering Ehime University Matsuyama Japan

Roadside slope failure is a common problem in the Himalayan region as road construction activities disturb natural slopes. Therefore, landslide susceptibility zonation is necessary for roadside slope disaster management and planning development activities. In this study, we consider a 53-kin section of a major highway in Nepal where road services are suspended for several days in the monsoon season every year. A number of methods have been used for landslide susceptibility zonation. We employed a bivariate statistical approach for this study. Relevant thematic layer maps represent- ing various factors （e.g., slope, aspect, land use, lithology, drainage density, proximity to stream and proximity to road） that are related to landslide activity, have been prepared using Geographic Information System （GIS） techniques. A total of 277 landslides （covering a total of 29.90 km2） of various dimensions have been identified in the area. A landslide susceptibility map was prepared by overlaying a landslide inventory map with various parameter maps segmented into various relevant classes. The landslide susceptibility index was seg- mented into five zones, viz. very low, low, moderate, high and very high susceptibility. Landslide susceptibility zonation maps are useful tools for the efficient planning and management of roadside slope repair and maintenance tasks in the Himalayan region.

关键词：喜马拉雅山滑坡边坡 GIS 地理信息系统

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High-Order FEM Formulation for 3-D Slope Instability

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Applied Mathematics 2013年第5期4卷 8-17页

作者： Tiwari Ram Chandra Bhandary Netra Prakash yatabe ryuichi Geo-Disaster Laboratory Graduate School of Science and Engineering Ehime University Matsuyama Japan Graduate School of Science and Engineering Ehime University Matsuyama Japan

High-order finite element method (FEM) formulation also referred to as spectral element method (SEM) formulation is currently implemented in this paper for 3-dimensional (3-D) elasto-plastic problems in stability assessment of large- scale slopes (vegetated and barren slopes) in different instability conditions such as seismic and saturation. We have reviewed the SEM formulation, and have sought its applicability for vegetated slopes. Utilizing p (high-order polynomial degree or spectral degrees) and h (mesh operation for quality meshing in required elemental budgets) refining techniques in the existing FEM, the complexity of problem domain can be well addressed in greater numerical stability. Unlike the existing FEM formulation, this high-order FEM employs the same integration and interpolation points to achieve a progressive response of the instability, which drastically reduces the computational costs (formation of diagonalized mass matrix) and offers significant benefits to slope instability computations for serial and parallel implementations. With this formulation, we have achieved the following three qualities in slope instability modeling: 1) geometric flexibility of the finite elements, 2) high computational efficiency, and 3) reliable spectral accuracy. A sample problem has also been presented in this paper, which has accommodated all aforesaid numerical qualities.

关键词： Finite Element Method Spectral Element Method Slope Instability Vegetated and Barren Slopes Parallel Algorithm

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