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Landslide hazard assessment of the Neom promising city, northwestern Saudi Arabia: An integrated approach
Journal of King Saud University-Science ( IF 3.7 ) Pub Date : 2020-12-16 , DOI: 10.1016/j.jksus.2020.101279
Ali Y. Kahal , Kamal Abdelrahman , Hussain J. Alfaifi , Madyan M.A. Yahya

Landslides hazard as one of the major environmental threats of the Neom promising city in northwestern Saudi Arabia has been assessed through data integration of several sources including topographic, geologic, and seismologic data sets. Moreover, Landsat imagery and historical landslide data are introduced in assessing landslide susceptibility of the study area. All these data oriented to generate eight thematic layers representing eight landslide conditioning factors. These factors arranged according to their relative importance for landslide susceptibility mapping as follows: slope angle, elevation, curvature, aspect, earthquake density, fault density, drainage density, and lineaments density. These factors were assessed using GIS through a numerical rating scheme for thematic layers. The ranks and weights were given in association with intensive field studies and authors’ experiences. The estimated values of Landslide Potential Index (LPI) varies from 32 up to 107. Then, the resultant landslide susceptibility map classifies the landslide hazards into three relative classes of susceptibility: high, moderate, and low. Furthermore, this map was tested through several field checks and the extracted historical landslides within Neom area as well. This landslide susceptibility map will boost decision-making authority while executing the developing projects throughout the Neom promising area either avoiding strategic facilities or applying corrective geotechnical procedures to minimize the landslide hazardous impact for Neom city.



中文翻译:

沙特阿拉伯西北部Neom充满希望的城市的滑坡灾害评估:综合方法

滑坡灾害是沙特阿拉伯西北部Neom充满希望的城市的主要环境威胁之一,已通过包括地形,地质和地震数据集在内的多个数据源的数据集成进行了评估。此外,在评估研究区域的滑坡敏感性时,引入了Landsat影像和历史滑坡数据。所有这些数据旨在生成代表八个滑坡条件因子的八个主题层。这些因素根据其在滑坡敏感性图上的相对重要性进行排列,如下所示:坡度角,高程,曲率,纵横比,地震密度,断层密度,排水密度和岩层密度。这些因素是使用GIS通过主题层的数字评级方案评估的。排名和权重是结合深入的现场研究和作者的经验给出的。滑坡潜力指数(LPI)的估计值在32到107之间变化。然后,生成的滑坡敏感性图将滑坡灾害分为三类相对的敏感性:高,中和低。此外,还通过几次现场检查以及在Neom地区内提取的历史滑坡对这张地图进行了测试。该滑坡敏感性图将增强决策权,同时在整个Neom大有希望的地区执行发展中的项目,避免使用战略设施或采取纠正性的岩土工程程序,以最大程度地减少对Neom市的滑坡危险影响。滑坡潜力指数(LPI)的估计值在32到107之间变化。然后,生成的滑坡敏感性图将滑坡灾害分为三类相对的敏感性:高,中和低。此外,还通过几次现场检查以及在Neom地区内提取的历史滑坡对这张地图进行了测试。该滑坡敏感性图将增强决策权,同时在整个Neom大有希望的地区执行发展中的项目,避免使用战略设施或采取纠正性的岩土工程程序,以最大程度地减少对Neom市的滑坡危险影响。滑坡潜力指数(LPI)的估计值在32到107之间变化。然后,生成的滑坡敏感性图将滑坡灾害分为三类相对的敏感性:高,中和低。此外,还通过几次现场检查以及在Neom地区内提取的历史滑坡对这张地图进行了测试。该滑坡敏感性图将增强决策权,同时在整个Neom大有希望的地区执行发展中的项目,避免使用战略设施或采取纠正性的岩土工程程序,以最大程度地减少对Neom市的滑坡危险影响。对该地图进行了多次现场检查,并提取了Neom地区内的历史滑坡。该滑坡敏感性图将增强决策权,同时在整个Neom大有希望的地区执行发展中的项目,避免使用战略设施或采取纠正性的岩土工程程序,以最大程度地减少对Neom市的滑坡危险影响。对该地图进行了多次现场检查,并提取了Neom地区内的历史滑坡。该滑坡敏感性图将增强决策权,同时在整个Neom大有希望的地区执行发展中的项目,避免使用战略设施或采取纠正性的岩土工程程序,以最大程度地减少对Neom市的滑坡危险影响。

更新日期:2020-12-23
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