Deterministic slope failure hazard assessment in a model catchment and its replication in neighbourhood terrain
In this work, we prepare and replicate a deterministic slope failure hazard model in small-scale catchments of tertiary sedimentary terrain of Niihama city in western Japan. It is generally difficult to replicate a deterministic model from one catchment to another due to lack of exactly similar geo-...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2016-01-01
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| Series: | Geomatics, Natural Hazards & Risk |
| Online Access: | http://dx.doi.org/10.1080/19475705.2014.880856 |
| _version_ | 1811259395117416448 |
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| author | Kiran Prasad Acharya Ryuichi Yatabe Netra Prakash Bhandary Ranjan Kumar Dahal |
| author_facet | Kiran Prasad Acharya Ryuichi Yatabe Netra Prakash Bhandary Ranjan Kumar Dahal |
| author_sort | Kiran Prasad Acharya |
| collection | DOAJ |
| description | In this work, we prepare and replicate a deterministic slope failure hazard model in small-scale catchments of tertiary sedimentary terrain of Niihama city in western Japan. It is generally difficult to replicate a deterministic model from one catchment to another due to lack of exactly similar geo-mechanical and hydrological parameters. To overcome this problem, discriminant function modelling was done with the deterministic slope failure hazard model and the DEM-based causal factors of slope failure, which yielded an empirical parametric relationship or a discriminant function equation. This parametric relationship was used to predict the slope failure hazard index in a total of 40 target catchments in the study area. From ROC plots, the prediction rate between 0.719–0.814 and 0.704–0.805 was obtained with inventories of September and October slope failures, respectively. This means September slope failures were better predicted than October slope failures by approximately 1%. The results show that the prediction of the slope failure hazard index is possible, even in a small catchment scale, in similar geophysical settings. Moreover, the replication of the deterministic model through discriminant function modelling was found to be successful in predicting typhoon rainfall-induced slope failures with moderate to good accuracy without any use of geo-mechanical and hydrological parameters. |
| first_indexed | 2024-04-12T18:29:57Z |
| format | Article |
| id | doaj.art-1f52d98827fc417f9f5dcace9f72d8b2 |
| institution | Directory Open Access Journal |
| issn | 1947-5705 1947-5713 |
| language | English |
| last_indexed | 2024-04-12T18:29:57Z |
| publishDate | 2016-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geomatics, Natural Hazards & Risk |
| spelling | doaj.art-1f52d98827fc417f9f5dcace9f72d8b22022-12-22T03:21:06ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132016-01-017115618510.1080/19475705.2014.880856880856Deterministic slope failure hazard assessment in a model catchment and its replication in neighbourhood terrainKiran Prasad Acharya0Ryuichi Yatabe1Netra Prakash Bhandary2Ranjan Kumar Dahal3Ehime UniversityGraduate School of Science and Engineering, Ehime UniversityGraduate School of Science and Engineering, Ehime UniversityTribhuvan UniversityIn this work, we prepare and replicate a deterministic slope failure hazard model in small-scale catchments of tertiary sedimentary terrain of Niihama city in western Japan. It is generally difficult to replicate a deterministic model from one catchment to another due to lack of exactly similar geo-mechanical and hydrological parameters. To overcome this problem, discriminant function modelling was done with the deterministic slope failure hazard model and the DEM-based causal factors of slope failure, which yielded an empirical parametric relationship or a discriminant function equation. This parametric relationship was used to predict the slope failure hazard index in a total of 40 target catchments in the study area. From ROC plots, the prediction rate between 0.719–0.814 and 0.704–0.805 was obtained with inventories of September and October slope failures, respectively. This means September slope failures were better predicted than October slope failures by approximately 1%. The results show that the prediction of the slope failure hazard index is possible, even in a small catchment scale, in similar geophysical settings. Moreover, the replication of the deterministic model through discriminant function modelling was found to be successful in predicting typhoon rainfall-induced slope failures with moderate to good accuracy without any use of geo-mechanical and hydrological parameters.http://dx.doi.org/10.1080/19475705.2014.880856 |
| spellingShingle | Kiran Prasad Acharya Ryuichi Yatabe Netra Prakash Bhandary Ranjan Kumar Dahal Deterministic slope failure hazard assessment in a model catchment and its replication in neighbourhood terrain Geomatics, Natural Hazards & Risk |
| title | Deterministic slope failure hazard assessment in a model catchment and its replication in neighbourhood terrain |
| title_full | Deterministic slope failure hazard assessment in a model catchment and its replication in neighbourhood terrain |
| title_fullStr | Deterministic slope failure hazard assessment in a model catchment and its replication in neighbourhood terrain |
| title_full_unstemmed | Deterministic slope failure hazard assessment in a model catchment and its replication in neighbourhood terrain |
| title_short | Deterministic slope failure hazard assessment in a model catchment and its replication in neighbourhood terrain |
| title_sort | deterministic slope failure hazard assessment in a model catchment and its replication in neighbourhood terrain |
| url | http://dx.doi.org/10.1080/19475705.2014.880856 |
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