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Review
. 2023 Jul 13;9(7):e17972.
doi: 10.1016/j.heliyon.2023.e17972. eCollection 2023 Jul.

A review on landslide susceptibility mapping research in Bangladesh

Md Sharafat Chowdhury  1   2
Affiliations
Review

A review on landslide susceptibility mapping research in Bangladesh

Md Sharafat Chowdhury. Heliyon. .

Abstract

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.

Keywords: Accuracy assessment; Bangladesh; Chi-square; Correlation; Landslide; Landslide susceptibility mapping.

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Conflict of interest statement

The author declares that he has no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
Elevation of Chattogram hilly areas.
Fig. 2
Fig. 2
Landslide affected people from 2008 to 2020 (Source: World Bank, 2020).
Fig. 3
Fig. 3
Steps of systematic analysis process of the research.
Fig. 4
Fig. 4
Year of publication on landslide susceptibility mapping in Bangladesh from 2015 to 2022.
Fig. 5
Fig. 5
Journal with landslide susceptibly mapping publications in Bangladesh.
Fig. 6
Fig. 6
Areas covered by landslide susceptibility research. a) three hill districts studied in research, b) Chattogram metropolitan area, c) Chattogram city corporation area, d) Rangamati municipality and e) Kutupalong Rohingya refugee camp.
Fig. 7
Fig. 7
Number of research paper according to district.
Fig. 8
Fig. 8
Number of research paper according to specific study area.
Fig. 9
Fig. 9
Size of the study area in square kilometers.
Fig. 10
Fig. 10
Inventory data source for LSM of all publications.
Fig. 11
Fig. 11
Number of landslide location in inventory database.
Fig. 12
Fig. 12
Number of methods used in Bangladesh.
Fig. 13
Fig. 13
Percentage of methods used for landslide susceptibility mapping in Bangladesh.
Fig. 14
Fig. 14
Method used to prepare LSM according to district.
Fig. 15
Fig. 15
Categorization and Frequency of Conditioning Factors used in Bangladesh.
Fig. 16
Fig. 16
Percentage of conditioning Factor used in Bangladesh.
Fig. 17
Fig. 17
Source of DEM
Fig. 18
Fig. 18
Accuracy assessment methods used in Bangladesh.
Fig. 19
Fig. 19
Accuracy assessment results of landslide susceptibility maps in Bangladesh.
Fig. 20
Fig. 20
Pearson's correlation test (95%) and the distribution of the data.
Fig. 21
Fig. 21
Kendall and Spearman's correlation test.
See this image and copyright information in PMC

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