Spatial modeling of ground subsidence susceptibility along Al-Shamal train pathway in Saudi Arabia

Al-Shamal train pathway, which is extended between Saudi Arabia and Jordan, is prone to geo-hazards due to the geological features, proximity to faults, earthquake epicenter, and the human activities along the pathway. The objectives of this study are to shed light on the ground subsidence susceptib...

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Autores principales:	Alogayell Haya M., Al-Alola Seham S., Alkadi Ibtesam I., Mohamed Soha A., Ismail Ismail Y., El-Bukmi Farida
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2021
Materias:	geohazards multicriteria decision analysis al-shamal train pathway Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/0cb1ebcd61ac47c69b0f593638467135
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spelling	oai:doaj.org-article:0cb1ebcd61ac47c69b0f5936384671352021-12-05T14:10:49ZSpatial modeling of ground subsidence susceptibility along Al-Shamal train pathway in Saudi Arabia2391-544710.1515/geo-2020-0296https://doaj.org/article/0cb1ebcd61ac47c69b0f5936384671352021-10-01T00:00:00Zhttps://doi.org/10.1515/geo-2020-0296https://doaj.org/toc/2391-5447Al-Shamal train pathway, which is extended between Saudi Arabia and Jordan, is prone to geo-hazards due to the geological features, proximity to faults, earthquake epicenter, and the human activities along the pathway. The objectives of this study are to shed light on the ground subsidence susceptibility along Al-Shamal train pathway in Qarrayat city in Saudi Arabia and develop a ground subsidence susceptibility model to determine the prone areas to the impacts of ground subsidence to mitigate and avoid the loss of life and property. This study integrated the various data types to map the subsidence susceptibility along Al-Shamal train pathway. Nine ground subsidence causative parameters were selected as subsidence controlling factors in the study area including lithology, land cover/land use, elevation, slope, aspect, annual average rainfall, distance to faults, distance to earthquake epicenter, and distance to streams. The analytical hierarchy process is applied to obtain accurate weight to each criterion through the distribution of online Google form questionnaire to experts in different expertise and get their judgments on the weights of ground subsidence causative parameters in the study area. A subsidence susceptibility index was derived by classifying susceptible maps into five classes, namely, very low, low, moderate, high, and very high using the statistical distribution analysis. The results revealed that the study area is subjected to moderate susceptibility with about 32.56. A total of 29.8 and 11.52% of the study area had very low and low susceptibilities, respectively, and 8.44 and 17.68% had very high and high susceptibilities, respectively. The results were validated using the receiver operating characteristic using previous ground subsidence locations. The area under the curve showed 0.971, which is equivalent to 97.1%. Consequently, the findings of the study are thought to be beneficial to managers and decision makers for future planning, mitigating, and preventing subsidence in the study area.Alogayell Haya M.Al-Alola Seham S.Alkadi Ibtesam I.Mohamed Soha A.Ismail Ismail Y.El-Bukmi FaridaDe Gruyterarticlegeohazardsmulticriteria decision analysisal-shamal train pathwayGeologyQE1-996.5ENOpen Geosciences, Vol 13, Iss 1, Pp 1158-1173 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	geohazards multicriteria decision analysis al-shamal train pathway Geology QE1-996.5
spellingShingle	geohazards multicriteria decision analysis al-shamal train pathway Geology QE1-996.5 Alogayell Haya M. Al-Alola Seham S. Alkadi Ibtesam I. Mohamed Soha A. Ismail Ismail Y. El-Bukmi Farida Spatial modeling of ground subsidence susceptibility along Al-Shamal train pathway in Saudi Arabia
description	Al-Shamal train pathway, which is extended between Saudi Arabia and Jordan, is prone to geo-hazards due to the geological features, proximity to faults, earthquake epicenter, and the human activities along the pathway. The objectives of this study are to shed light on the ground subsidence susceptibility along Al-Shamal train pathway in Qarrayat city in Saudi Arabia and develop a ground subsidence susceptibility model to determine the prone areas to the impacts of ground subsidence to mitigate and avoid the loss of life and property. This study integrated the various data types to map the subsidence susceptibility along Al-Shamal train pathway. Nine ground subsidence causative parameters were selected as subsidence controlling factors in the study area including lithology, land cover/land use, elevation, slope, aspect, annual average rainfall, distance to faults, distance to earthquake epicenter, and distance to streams. The analytical hierarchy process is applied to obtain accurate weight to each criterion through the distribution of online Google form questionnaire to experts in different expertise and get their judgments on the weights of ground subsidence causative parameters in the study area. A subsidence susceptibility index was derived by classifying susceptible maps into five classes, namely, very low, low, moderate, high, and very high using the statistical distribution analysis. The results revealed that the study area is subjected to moderate susceptibility with about 32.56. A total of 29.8 and 11.52% of the study area had very low and low susceptibilities, respectively, and 8.44 and 17.68% had very high and high susceptibilities, respectively. The results were validated using the receiver operating characteristic using previous ground subsidence locations. The area under the curve showed 0.971, which is equivalent to 97.1%. Consequently, the findings of the study are thought to be beneficial to managers and decision makers for future planning, mitigating, and preventing subsidence in the study area.
format	article
author	Alogayell Haya M. Al-Alola Seham S. Alkadi Ibtesam I. Mohamed Soha A. Ismail Ismail Y. El-Bukmi Farida
author_facet	Alogayell Haya M. Al-Alola Seham S. Alkadi Ibtesam I. Mohamed Soha A. Ismail Ismail Y. El-Bukmi Farida
author_sort	Alogayell Haya M.
title	Spatial modeling of ground subsidence susceptibility along Al-Shamal train pathway in Saudi Arabia
title_short	Spatial modeling of ground subsidence susceptibility along Al-Shamal train pathway in Saudi Arabia
title_full	Spatial modeling of ground subsidence susceptibility along Al-Shamal train pathway in Saudi Arabia
title_fullStr	Spatial modeling of ground subsidence susceptibility along Al-Shamal train pathway in Saudi Arabia
title_full_unstemmed	Spatial modeling of ground subsidence susceptibility along Al-Shamal train pathway in Saudi Arabia
title_sort	spatial modeling of ground subsidence susceptibility along al-shamal train pathway in saudi arabia
publisher	De Gruyter
publishDate	2021
url	https://doaj.org/article/0cb1ebcd61ac47c69b0f593638467135
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Spatial modeling of ground subsidence susceptibility along Al-Shamal train pathway in Saudi Arabia

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