A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam)

The main objective of this study is to investigate potential application of an integrated evidential belief function (EBF)-based fuzzy logic model for spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam). First, a landslide inventory map was constructed from...

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Main Authors: Bui, Dieu Tien, Pradhan, Biswajeet, Revhaug, Inge, Nguyen, Duy Ba, Pham, Ha Viet, Bui, Quy Ngoc
Format: Article
Language:English
Published: Taylor & Francis 2015
Online Access:http://psasir.upm.edu.my/id/eprint/36219/
http://psasir.upm.edu.my/id/eprint/36219/1/A%20novel%20hybrid%20evidential%20belief%20function.pdf
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author Bui, Dieu Tien
Pradhan, Biswajeet
Revhaug, Inge
Nguyen, Duy Ba
Pham, Ha Viet
Bui, Quy Ngoc
author_facet Bui, Dieu Tien
Pradhan, Biswajeet
Revhaug, Inge
Nguyen, Duy Ba
Pham, Ha Viet
Bui, Quy Ngoc
author_sort Bui, Dieu Tien
building UPM Institutional Repository
collection Online Access
description The main objective of this study is to investigate potential application of an integrated evidential belief function (EBF)-based fuzzy logic model for spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam). First, a landslide inventory map was constructed from various sources. Then the landslide inventory map was randomly partitioned as a ratio of 70/30 for training and validation of the models, respectively. Second, six landslide conditioning factors (slope angle, slope aspect, lithology, distance to faults, soil type, land use) were prepared and fuzzy membership values for these factors classes were estimated using the EBF. Subsequently, fuzzy operators were used to generate landslide susceptibility maps. Finally, the susceptibility maps were validated and compared using the validation dataset. The results show that the lowest prediction capability is the fuzzy SUM (76.6%). The prediction capability is almost the same for the fuzzy PRODUCT and fuzzy GAMMA models (79.6%). Compared to the frequency-ratio based fuzzy logic models, the EBF-based fuzzy logic models showed better result in both the success rate and prediction rate. The results from this study may be useful for local planner in areas prone to landslides. The modelling approach can be applied for other areas.
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spelling upm-362192016-04-18T06:40:00Z http://psasir.upm.edu.my/id/eprint/36219/ A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam) Bui, Dieu Tien Pradhan, Biswajeet Revhaug, Inge Nguyen, Duy Ba Pham, Ha Viet Bui, Quy Ngoc The main objective of this study is to investigate potential application of an integrated evidential belief function (EBF)-based fuzzy logic model for spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam). First, a landslide inventory map was constructed from various sources. Then the landslide inventory map was randomly partitioned as a ratio of 70/30 for training and validation of the models, respectively. Second, six landslide conditioning factors (slope angle, slope aspect, lithology, distance to faults, soil type, land use) were prepared and fuzzy membership values for these factors classes were estimated using the EBF. Subsequently, fuzzy operators were used to generate landslide susceptibility maps. Finally, the susceptibility maps were validated and compared using the validation dataset. The results show that the lowest prediction capability is the fuzzy SUM (76.6%). The prediction capability is almost the same for the fuzzy PRODUCT and fuzzy GAMMA models (79.6%). Compared to the frequency-ratio based fuzzy logic models, the EBF-based fuzzy logic models showed better result in both the success rate and prediction rate. The results from this study may be useful for local planner in areas prone to landslides. The modelling approach can be applied for other areas. Taylor & Francis 2015 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/36219/1/A%20novel%20hybrid%20evidential%20belief%20function.pdf Bui, Dieu Tien and Pradhan, Biswajeet and Revhaug, Inge and Nguyen, Duy Ba and Pham, Ha Viet and Bui, Quy Ngoc (2015) A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam). Geomatics, Natural Hazards and Risk, 6 (3). pp. 243-271. ISSN 1947-5705; ESSN: 1947-5713 10.1080/19475705.2013.843206
spellingShingle Bui, Dieu Tien
Pradhan, Biswajeet
Revhaug, Inge
Nguyen, Duy Ba
Pham, Ha Viet
Bui, Quy Ngoc
A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam)
title A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam)
title_full A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam)
title_fullStr A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam)
title_full_unstemmed A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam)
title_short A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam)
title_sort novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the lang son city area (vietnam)
url http://psasir.upm.edu.my/id/eprint/36219/
http://psasir.upm.edu.my/id/eprint/36219/
http://psasir.upm.edu.my/id/eprint/36219/1/A%20novel%20hybrid%20evidential%20belief%20function.pdf