Landslide Identification and Zonation Using the Index of Entropy Technique at Ossey Watershed Area in Bhutan
The landslide is one of the natural disasters which claim human lives and incur huge economic losses, especially in the mountainous area. The main aim of this study is to develop different zones of landslide-prone area using the index of entropy (IOE) at the Ossey watershed area in Bhutan. During t...
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| Format: | Article |
| Language: | English |
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Environmental Research Institute, Chulalongkorn University
2021-01-01
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| Series: | Applied Environmental Research |
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| Online Access: | https://ph01.tci-thaijo.org/jer/index.php/aer/article/view/241776 |
| _version_ | 1797294893145522176 |
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| author | Thongley Thongley Chaiwiwat Vansarochana |
| author_facet | Thongley Thongley Chaiwiwat Vansarochana |
| author_sort | Thongley Thongley |
| collection | DOAJ |
| description |
The landslide is one of the natural disasters which claim human lives and incur huge economic losses, especially in the mountainous area. The main aim of this study is to develop different zones of landslide-prone area using the index of entropy (IOE) at the Ossey watershed area in Bhutan. During the landslide inventory, 164 landslides were identified of which 115 locations were used for the training dataset while the remaining 49 locations were used for the validation dataset. A total of ten causal factors were used for this study including elevation, slope, aspect, slope curvature, stream power index, normalized difference vegetation index (NDVI), distance from the road, distance from the river, lithology, and rainfall. The IOE was used to obtain the relationship between the landslide events and the causal factors. The most influential causal factors were NDVI, slope, and rainfall with the weightage of 0.377, 0.347, and 0.175 respectively as per the IOE. The final landslide susceptibility map was classified into five classes using the geometrical interval classification. The validation was done using the receiver operating characteristic (ROC) curves and the kappa index. The area under the curve (AUC) for the success rate and prediction rate was 0.7821 and 0.8377, respectively. The kappa index using the training dataset and validation dataset were 0.4111 and 0.4898, respectively. The final landslide susceptibility map is accurate enough for the future references by the decision-makers and the engineers.
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| first_indexed | 2024-03-07T21:38:43Z |
| format | Article |
| id | doaj.art-99d15f545a0a45739e6707ce180e56e3 |
| institution | Directory Open Access Journal |
| issn | 2287-075X |
| language | English |
| last_indexed | 2024-03-07T21:38:43Z |
| publishDate | 2021-01-01 |
| publisher | Environmental Research Institute, Chulalongkorn University |
| record_format | Article |
| series | Applied Environmental Research |
| spelling | doaj.art-99d15f545a0a45739e6707ce180e56e32024-02-26T10:49:50ZengEnvironmental Research Institute, Chulalongkorn UniversityApplied Environmental Research2287-075X2021-01-0143110.35762/AER.2021.43.1.8Landslide Identification and Zonation Using the Index of Entropy Technique at Ossey Watershed Area in BhutanThongley Thongley0Chaiwiwat Vansarochana1Faculty of Agriculture, Natural Resources and Environment, Naresuan University, Phitsanulok, ThailandFaculty of Agriculture, Natural Resources and Environment, Naresuan University, Phitsanulok, Thailand The landslide is one of the natural disasters which claim human lives and incur huge economic losses, especially in the mountainous area. The main aim of this study is to develop different zones of landslide-prone area using the index of entropy (IOE) at the Ossey watershed area in Bhutan. During the landslide inventory, 164 landslides were identified of which 115 locations were used for the training dataset while the remaining 49 locations were used for the validation dataset. A total of ten causal factors were used for this study including elevation, slope, aspect, slope curvature, stream power index, normalized difference vegetation index (NDVI), distance from the road, distance from the river, lithology, and rainfall. The IOE was used to obtain the relationship between the landslide events and the causal factors. The most influential causal factors were NDVI, slope, and rainfall with the weightage of 0.377, 0.347, and 0.175 respectively as per the IOE. The final landslide susceptibility map was classified into five classes using the geometrical interval classification. The validation was done using the receiver operating characteristic (ROC) curves and the kappa index. The area under the curve (AUC) for the success rate and prediction rate was 0.7821 and 0.8377, respectively. The kappa index using the training dataset and validation dataset were 0.4111 and 0.4898, respectively. The final landslide susceptibility map is accurate enough for the future references by the decision-makers and the engineers. https://ph01.tci-thaijo.org/jer/index.php/aer/article/view/241776Landslide susceptibility mappingIndex of entropyArea under the curveKappa index |
| spellingShingle | Thongley Thongley Chaiwiwat Vansarochana Landslide Identification and Zonation Using the Index of Entropy Technique at Ossey Watershed Area in Bhutan Applied Environmental Research Landslide susceptibility mapping Index of entropy Area under the curve Kappa index |
| title | Landslide Identification and Zonation Using the Index of Entropy Technique at Ossey Watershed Area in Bhutan |
| title_full | Landslide Identification and Zonation Using the Index of Entropy Technique at Ossey Watershed Area in Bhutan |
| title_fullStr | Landslide Identification and Zonation Using the Index of Entropy Technique at Ossey Watershed Area in Bhutan |
| title_full_unstemmed | Landslide Identification and Zonation Using the Index of Entropy Technique at Ossey Watershed Area in Bhutan |
| title_short | Landslide Identification and Zonation Using the Index of Entropy Technique at Ossey Watershed Area in Bhutan |
| title_sort | landslide identification and zonation using the index of entropy technique at ossey watershed area in bhutan |
| topic | Landslide susceptibility mapping Index of entropy Area under the curve Kappa index |
| url | https://ph01.tci-thaijo.org/jer/index.php/aer/article/view/241776 |
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