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A review on landslide susceptibility mapping research in Bangladesh

Landslide susceptibility mapping is a common practice for landslide susceptibility assessment across the world. Like many other mountainous areas of the world, Bangladesh is facing frequent catastrophic landslides causing severe damage to the economy and society. As a result, several types of resear...

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Autor principal: Chowdhury, Md. Sharafat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372248/
https://www.ncbi.nlm.nih.gov/pubmed/37519718
http://dx.doi.org/10.1016/j.heliyon.2023.e17972
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author Chowdhury, Md. Sharafat
author_facet Chowdhury, Md. Sharafat
author_sort Chowdhury, Md. Sharafat
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description Landslide susceptibility mapping is a common practice for landslide susceptibility assessment across the world. Like many other mountainous areas of the world, Bangladesh is facing frequent catastrophic landslides causing severe damage to the economy and society. As a result, several types of research have been conducted on landslides in Bangladesh. In the current research, a systematic review is conducted on the existing literature related to landslide susceptibility mapping to assess its contemporary trend with global research. The publications analyzed in this research were extracted from a website comprising landslide research of Bangladesh and by manual search. The aspects of the literature considered are year of publication, the journal where published, location/size of the study area, landslide inventory data type, susceptibility assessment/mapping method, thematic variables used, DEM characteristics, accuracy assessment methods and acquired accuracy of the models. The Chi-square test was conducted and correlation was measured to assess relation between selected features and map accuracy but no significant relationship was found. The studies are concentrated into three administrative districts of Chattogram, Rangamati and Cox's Bazar mainly covering the city centre. The publication rate is increasing but not following the global trend. Though various types of models are used and compared, the application of machine and deep learning algorithms are very limited and no evidence of Physically-based methods is found. Most of the cases, landslide inventory is prepared by conducting field survey, but the size is small. The research will help future practitioner in landslide susceptibility mapping research in the area.
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spelling pubmed-103722482023-07-28 A review on landslide susceptibility mapping research in Bangladesh Chowdhury, Md. Sharafat Heliyon Review Article Landslide susceptibility mapping is a common practice for landslide susceptibility assessment across the world. Like many other mountainous areas of the world, Bangladesh is facing frequent catastrophic landslides causing severe damage to the economy and society. As a result, several types of research have been conducted on landslides in Bangladesh. In the current research, a systematic review is conducted on the existing literature related to landslide susceptibility mapping to assess its contemporary trend with global research. The publications analyzed in this research were extracted from a website comprising landslide research of Bangladesh and by manual search. The aspects of the literature considered are year of publication, the journal where published, location/size of the study area, landslide inventory data type, susceptibility assessment/mapping method, thematic variables used, DEM characteristics, accuracy assessment methods and acquired accuracy of the models. The Chi-square test was conducted and correlation was measured to assess relation between selected features and map accuracy but no significant relationship was found. The studies are concentrated into three administrative districts of Chattogram, Rangamati and Cox's Bazar mainly covering the city centre. The publication rate is increasing but not following the global trend. Though various types of models are used and compared, the application of machine and deep learning algorithms are very limited and no evidence of Physically-based methods is found. Most of the cases, landslide inventory is prepared by conducting field survey, but the size is small. The research will help future practitioner in landslide susceptibility mapping research in the area. Elsevier 2023-07-13 /pmc/articles/PMC10372248/ /pubmed/37519718 http://dx.doi.org/10.1016/j.heliyon.2023.e17972 Text en © 2023 The Author https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review Article
Chowdhury, Md. Sharafat
A review on landslide susceptibility mapping research in Bangladesh
title A review on landslide susceptibility mapping research in Bangladesh
title_full A review on landslide susceptibility mapping research in Bangladesh
title_fullStr A review on landslide susceptibility mapping research in Bangladesh
title_full_unstemmed A review on landslide susceptibility mapping research in Bangladesh
title_short A review on landslide susceptibility mapping research in Bangladesh
title_sort review on landslide susceptibility mapping research in bangladesh
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372248/
https://www.ncbi.nlm.nih.gov/pubmed/37519718
http://dx.doi.org/10.1016/j.heliyon.2023.e17972
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