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GIS-based landslide susceptibility mapping in Lantau Island, Hong Kong by frequency ratio and logistic regression model

机译:基于频率比和逻辑回归模型的香港大屿山基于GIS的滑坡敏感性图

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Landslides are one of the most destructive disasters that cause damage to both property and life every year. There is an increasingly high demand for land resource to support the growth of economic and population in Hong Kong. The mountainous terrain, heavy and prolonged rainfall and dense development near steep hillsides make Hong Kong as one of the most vulnerable metropolitans to the risk of landslides. Therefore, regional specific landslide susceptibility assessment in Hong Kong is necessary for hazard management and effective land use planning. Various methodologies have been proposed for landslide susceptibility mappings. By applying the statistically-based frequency ratio and logistic regression models in Lantau Island, Hong Kong, this study attempts to add extra value to the literature of evaluating their "prediction rate" (rather than "success rate") for landslide susceptibility mapping in a temporal context. The spatial relationship among landslide occurrence and nine causative factors (elevation, slope, aspect, plan curvature, profile curvature, NDVI, distance to river, distance to fault and lithology) were examined, and landslide susceptibility maps were generated by frequency ratio and logistic regression model. Validations of the mapping results were performed by calculating relative operating characteristics (ROC). 1864 (70%) landslides records in the Enhanced Natural Terrain Landslide Inventory (ENTLI) from 2000 to 2008 are utilized to train the model while the subsequent 799 (30%) landslide occurred from 2008 to 2009 are used for model validation. The validation result shows that logistic regression model (84.05%) possesses a better prediction power than frequency ratio model (76.64%) for the study area. This study attempts to offer a new model assessment strategy for landslide susceptibility mapping. The resultant maps also provide a scientific assessment of the risk areas with respect to landslides on Lantau Island, and could serve as a basis for decisions or justification of the Lantau development planning.
机译:滑坡是最具破坏性的灾难之一,每年都会对财产和生命造成破坏。为了支持香港的经济和人口增长,对土地资源的需求越来越高。多山的地形,长时间的强降雨和陡峭山坡附近的密集发展使香港成为最容易遭受山体滑坡危险的大都市之一。因此,在香港进行区域特定的滑坡敏感性评估对于进行灾害管理和有效的土地利用规划是必要的。已经提出了用于滑坡敏感性地图的各种方法。通过在香港大屿山应用基于统计的频率比和逻辑回归模型,本研究试图为评估其“预测率”(而不是“成功率”)的文献在滑坡易感性制图中增加额外的价值。时间上下文。研究了滑坡发生与9个成因(高程,坡度,坡向,平面曲率,剖面曲率,NDVI,到河流的距离,到断层的距离和岩性)之间的空间关系,并通过频率比和Logistic回归生成了滑坡敏感性图模型。映射结果的验证是通过计算相对工作特性(ROC)进行的。利用2000年至2008年增强自然地形滑坡清单(ENTLI)中的1864个滑坡记录对模型进行了训练,而随后使用了2008年至2009年发生的799个滑坡(30%)进行了模型验证。验证结果表明,研究区域的逻辑回归模型(84.05%)比频率比率模型(76.64%)具有更好的预测能力。这项研究试图为滑坡敏感性图提供一种新的模型评估策略。生成的地图还可以对大屿山滑坡的危险区域进行科学评估,并可作为决策或合理制定大屿山发展规划的基础。

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