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首页> 外文期刊>Modeling Earth Systems and Environment >Introduce a framework for landslide risk assessment using geospatial analysis: a case study from Kegalle District, Sri Lanka
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Introduce a framework for landslide risk assessment using geospatial analysis: a case study from Kegalle District, Sri Lanka

机译：使用地理空间分析介绍滑坡风险评估的框架 - 以斯里兰卡凯格勒区为例

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摘要

Landslides have become a frequent natural hazard and pressing severe environmental issues in Sri Lanka. The upward trend in high-intensity rainfall events, growing population, expansion of plantation, and lifelines increased the landslide risk of the country. Though developed countries adopted in risk assessment-based management, conversely, they rely on conventional landslide hazard assessment-based risk management. Therefore, this study is attempted to create a standardized landslide risk assessment framework, combining susceptibility and vulnerability. In the experimental design, landslide susceptibility was determined by nine (09) landslide causative factors, and fourteen (14) factors assessed for landslide vulnerability. Factors were prepared, standardized, and analyzed according to the level of contribution to susceptibility and vulnerability by using spatial multi-criteria evaluation method and entropy method under geographical information system. Spatial distribution of susceptibility and vulnerability were integrated to obtain the spatial distribution of risk. Analyses indicate that highly susceptible and high vulnerable areas are not demonstrated a high level of risk individually. However, a combination of them creates a high level of risk. The risk was classified into six classes, such as highest, high, moderate, low, lowest, and no risk. The highest-risk and high-risk zones of the area show 257 km(2) (15%) and 21% (350 km(2)) of the total land area, respectively. Moderately risk zones take part 27% (446 km(2)). However, 22% (375 km(2)) of land area categorized as low or lowest risk and 15% (255 km(2)) under the no-risk. The study concluded that the developed framework is transparent and easy to update periodically by the local authorities. Hence, public policymakers can use the findings of this study to plan the future development of the region and the country. In contrast, risk assessment provides essential information to enhance national disaster risk reduction strategies.
机译：山体滑坡已成为斯里兰卡的常见自然灾害和压迫严重的环境问题。高强度降雨事件的上升趋势，人口不断增长，种植园扩张，生命线增加了该国的滑坡风险。虽然发达国家在风险评估的管理中采用，但相反，他们依靠传统的滑坡危害评估基于风险评估的风险管理。因此，该研究试图创建标准化的滑坡风险评估框架，结合易感性和脆弱性。在实验设计中，Landslide易感性由九（09）次滑坡造成因子确定，并为Landslide脆弱性评估的十四（14）个因素。根据地理信息系统下的空间多标准评估方法和熵方法，根据对易感性和脆弱性的贡献水平制备，标准化和分析的因素。易感性和脆弱性的空间分布被整合以获得风险的空间分布。分析表明，高度易感和高弱势区域未分别表现出高度的风险。然而，它们的组合产生了高度的风险。风险被分为六个课程，如最高，高，中等，低，最低，最低，没有风险。该地区的最高风险和高风险区分别显示257公里（2）（15％）和21％（350公里（2））的土地面积。适度风险区域参加27％（446公里（2））。然而，22％（375公里（2））的土地面积分为低或最低风险，15％（255公里（2））下无风险。该研究得出结论，发达的框架是当地当局定期的透明且易于更新。因此，公共政策制定者可以利用本研究的调查结果来规划该地区和国家的未来发展。相比之下，风险评估提供了加强国家灾害风险减少策略的基本信息。

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