Landslide hazard assessment of the Neom promising city, northwestern Saudi Arabia: An integrated approach

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 in...

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Main Authors: Ali Y. Kahal, Kamal Abdelrahman, Hussain J. Alfaifi, Madyan M.A. Yahya
Format: Article
Language:English
Published: Elsevier 2021-03-01
Series:Journal of King Saud University: Science
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S101836472030392X
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author Ali Y. Kahal
Kamal Abdelrahman
Hussain J. Alfaifi
Madyan M.A. Yahya
author_facet Ali Y. Kahal
Kamal Abdelrahman
Hussain J. Alfaifi
Madyan M.A. Yahya
author_sort Ali Y. Kahal
collection DOAJ
description 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.
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spelling doaj.art-dd75ee7794cd4615afc4e144c9d277d72022-12-21T19:50:52ZengElsevierJournal of King Saud University: Science1018-36472021-03-01332101279Landslide hazard assessment of the Neom promising city, northwestern Saudi Arabia: An integrated approachAli Y. Kahal0Kamal Abdelrahman1Hussain J. Alfaifi2Madyan M.A. Yahya3Department of Geology and Geophysics, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia; Corresponding author.Department of Geology and Geophysics, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia; Seismology Department, National Research Institute of Astronomy and Geophysics, EL Marsad Street 1, Helwan, Cairo, EgyptDepartment of Geology and Geophysics, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi ArabiaKing Abdulaziz University, Jeddah, Saudi ArabiaLandslides 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.http://www.sciencedirect.com/science/article/pii/S101836472030392XLandslideSusceptibilityGISThematic layersNeomSaudi Arabia
spellingShingle Ali Y. Kahal
Kamal Abdelrahman
Hussain J. Alfaifi
Madyan M.A. Yahya
Landslide hazard assessment of the Neom promising city, northwestern Saudi Arabia: An integrated approach
Journal of King Saud University: Science
Landslide
Susceptibility
GIS
Thematic layers
Neom
Saudi Arabia
title Landslide hazard assessment of the Neom promising city, northwestern Saudi Arabia: An integrated approach
title_full Landslide hazard assessment of the Neom promising city, northwestern Saudi Arabia: An integrated approach
title_fullStr Landslide hazard assessment of the Neom promising city, northwestern Saudi Arabia: An integrated approach
title_full_unstemmed Landslide hazard assessment of the Neom promising city, northwestern Saudi Arabia: An integrated approach
title_short Landslide hazard assessment of the Neom promising city, northwestern Saudi Arabia: An integrated approach
title_sort landslide hazard assessment of the neom promising city northwestern saudi arabia an integrated approach
topic Landslide
Susceptibility
GIS
Thematic layers
Neom
Saudi Arabia
url http://www.sciencedirect.com/science/article/pii/S101836472030392X
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AT hussainjalfaifi landslidehazardassessmentoftheneompromisingcitynorthwesternsaudiarabiaanintegratedapproach
AT madyanmayahya landslidehazardassessmentoftheneompromisingcitynorthwesternsaudiarabiaanintegratedapproach