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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2015-04-01
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| Series: | Geomatics, Natural Hazards & Risk |
| Online Access: | http://dx.doi.org/10.1080/19475705.2013.843206 |
| _version_ | 1818619369182199808 |
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| author | Dieu Tien Bui Biswajeet Pradhan Inge Revhaug Duy Ba Nguyen Ha Viet Pham Quy Ngoc Bui |
| author_facet | Dieu Tien Bui Biswajeet Pradhan Inge Revhaug Duy Ba Nguyen Ha Viet Pham Quy Ngoc Bui |
| author_sort | Dieu Tien Bui |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-16T17:36:23Z |
| format | Article |
| id | doaj.art-c2a93d34b23f4a838808fa29ad26cf44 |
| institution | Directory Open Access Journal |
| issn | 1947-5705 1947-5713 |
| language | English |
| last_indexed | 2024-12-16T17:36:23Z |
| publishDate | 2015-04-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geomatics, Natural Hazards & Risk |
| spelling | doaj.art-c2a93d34b23f4a838808fa29ad26cf442022-12-21T22:22:46ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132015-04-016324327110.1080/19475705.2013.843206843206A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam)Dieu Tien Bui0Biswajeet Pradhan1Inge Revhaug2Duy Ba Nguyen3Ha Viet Pham4Quy Ngoc Bui5Norwegian University of Life SciencesUniversity Putra MalaysiaNorwegian University of Life SciencesHanoi University of Mining and GeologyVietnam Institute of Geosciences and Mineral ResourcesHanoi University of Mining and GeologyThe 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.http://dx.doi.org/10.1080/19475705.2013.843206 |
| spellingShingle | Dieu Tien Bui Biswajeet Pradhan Inge Revhaug Duy Ba Nguyen Ha Viet Pham Quy Ngoc Bui 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 & Risk |
| 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://dx.doi.org/10.1080/19475705.2013.843206 |
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