GIS based novel hybrid computational intelligence models for mapping landslide susceptibility: A case study at Da Lat City, Vietnam
artificial intelligence; computer simulation; damage mechanics; disaster management; GIS; land use planning; landslide; mapping; NDVI; weathering; Da Lat; Viet Nam
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2023
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my.uniten.dspace-242602023-05-29T15:22:28Z GIS based novel hybrid computational intelligence models for mapping landslide susceptibility: A case study at Da Lat City, Vietnam Nguyen V.-T. Tran T.H. Ha N.A. Ngo V.L. Nadhir A.-A. Tran V.P. Nguyen H.D. Malek M.A. Amini A. Prakash I. Ho L.S. Pham B.T. 57213173188 57217085119 57218650327 57195242782 51664437800 57212081293 57208347181 55636320055 49361121300 57130381500 57191583880 57021167000 artificial intelligence; computer simulation; damage mechanics; disaster management; GIS; land use planning; landslide; mapping; NDVI; weathering; Da Lat; Viet Nam Landslides affect properties and the lives of a large number of people in many hilly parts of Vietnam and in the world. Damages caused by landslides can be reduced by understanding distribution, nature, mechanisms and causes of landslides with the help of model studies for better planning and risk management of the area. Development of landslide susceptibility maps is one of the main steps in landslide management. In this study, the main objective is to develop GIS based hybrid computational intelligence models to generate landslide susceptibility maps of the Da Lat province, which is one of the landslide prone regions of Vietnam. Novel hybrid models of alternating decision trees (ADT) with various ensemble methods, namely bagging, dagging, MultiBoostAB, and RealAdaBoost, were developed namely B-ADT, D-ADT, MBAB-ADT, RAB-ADT, respectively. Data of 72 past landslide events was used in conjunction with 11 landslide conditioning factors (curvature, distance from geological boundaries, elevation, land use, Normalized Difference Vegetation Index (NDVI), relief amplitude, stream density, slope, lithology, weathering crust and soil) in the development and validation of the models. Area under the receiver operating characteristic (ROC) curve (AUC), and several statistical measures were applied to validate these models. Results indicated that performance of all the models was good (AUC value greater than 0.8) but B-ADT model performed the best (AUC= 0.856). Landslide susceptibility maps generated using the proposed models would be helpful to decision makers in the risk management for land use planning and infrastructure development. � 2019 by the authors. Final 2023-05-29T07:22:28Z 2023-05-29T07:22:28Z 2019 Article 10.3390/su11247118 2-s2.0-85081628946 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081628946&doi=10.3390%2fsu11247118&partnerID=40&md5=216c0f0f987545caa6a5a61ac1f84e6a https://irepository.uniten.edu.my/handle/123456789/24260 11 24 7118 All Open Access, Gold, Green MDPI Scopus |
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artificial intelligence; computer simulation; damage mechanics; disaster management; GIS; land use planning; landslide; mapping; NDVI; weathering; Da Lat; Viet Nam |
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57213173188 |
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57213173188 Nguyen V.-T. Tran T.H. Ha N.A. Ngo V.L. Nadhir A.-A. Tran V.P. Nguyen H.D. Malek M.A. Amini A. Prakash I. Ho L.S. Pham B.T. |
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Article |
| author |
Nguyen V.-T. Tran T.H. Ha N.A. Ngo V.L. Nadhir A.-A. Tran V.P. Nguyen H.D. Malek M.A. Amini A. Prakash I. Ho L.S. Pham B.T. |
| spellingShingle |
Nguyen V.-T. Tran T.H. Ha N.A. Ngo V.L. Nadhir A.-A. Tran V.P. Nguyen H.D. Malek M.A. Amini A. Prakash I. Ho L.S. Pham B.T. GIS based novel hybrid computational intelligence models for mapping landslide susceptibility: A case study at Da Lat City, Vietnam |
| author_sort |
Nguyen V.-T. |
| title |
GIS based novel hybrid computational intelligence models for mapping landslide susceptibility: A case study at Da Lat City, Vietnam |
| title_short |
GIS based novel hybrid computational intelligence models for mapping landslide susceptibility: A case study at Da Lat City, Vietnam |
| title_full |
GIS based novel hybrid computational intelligence models for mapping landslide susceptibility: A case study at Da Lat City, Vietnam |
| title_fullStr |
GIS based novel hybrid computational intelligence models for mapping landslide susceptibility: A case study at Da Lat City, Vietnam |
| title_full_unstemmed |
GIS based novel hybrid computational intelligence models for mapping landslide susceptibility: A case study at Da Lat City, Vietnam |
| title_sort |
gis based novel hybrid computational intelligence models for mapping landslide susceptibility: a case study at da lat city, vietnam |
| publisher |
MDPI |
| publishDate |
2023 |
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1806426426714357760 |