Insights into spatial differential characteristics of landslide susceptibility from sub-region to whole-region cased by northeast Chongqing, China
AbstractLandslides have differential characteristics in different regions. This study explores landslide susceptibility mapping (LSM) based on different evaluation units and proposes a strategy for landslides’ differential characteristics in different sub-regions. Based on data of lithology, elevati...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-12-01
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| Series: | Geomatics, Natural Hazards & Risk |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2023.2190858 |
| _version_ | 1797389217202962432 |
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| author | Rui Liu YueKai Ding Deliang Sun Haijia Wen Qingyu Gu Shuxian Shi Mingyong Liao |
| author_facet | Rui Liu YueKai Ding Deliang Sun Haijia Wen Qingyu Gu Shuxian Shi Mingyong Liao |
| author_sort | Rui Liu |
| collection | DOAJ |
| description | AbstractLandslides have differential characteristics in different regions. This study explores landslide susceptibility mapping (LSM) based on different evaluation units and proposes a strategy for landslides’ differential characteristics in different sub-regions. Based on data of lithology, elevation, and historical landslides, terrain units (TUs) and slope units (SUs) were obtained. LSM was developed using the Random Forest (RF) model and Light Gradient Boosting Machine (LGBM) model. The LGBM-TUs showed the highest performance and were therefore, selected to obtain LSM. The study area was divided into four sub-regions using the geographically weighted regression (GWR) model, along with spatial differential characteristics of topography conditions. The distribution and characteristics of landslides within each sub-region were assessed using GeoDetector. The results illustrated the reliability of the LGBM-TUs model. Lithology, elevation, and average annual rainfall were the dominant factors, while the influence of other factors on the occurrence of landslides was strengthened only when these factors interacted. This study proposed a new method for LSM research to insight the spatial differential characteristics of landslides in various sub-regions. Our results provide novel insights into landslide mitigation. |
| first_indexed | 2024-03-08T22:52:39Z |
| format | Article |
| id | doaj.art-8a392b313e1942b2a1f97cfd2bd82b19 |
| institution | Directory Open Access Journal |
| issn | 1947-5705 1947-5713 |
| language | English |
| last_indexed | 2024-03-08T22:52:39Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geomatics, Natural Hazards & Risk |
| spelling | doaj.art-8a392b313e1942b2a1f97cfd2bd82b192023-12-16T08:49:46ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132023-12-0114110.1080/19475705.2023.2190858Insights into spatial differential characteristics of landslide susceptibility from sub-region to whole-region cased by northeast Chongqing, ChinaRui Liu0YueKai Ding1Deliang Sun2Haijia Wen3Qingyu Gu4Shuxian Shi5Mingyong Liao6Key Laboratory of GIS Application Research, Chongqing Normal University, Chongqing, ChinaKey Laboratory of GIS Application Research, Chongqing Normal University, Chongqing, ChinaKey Laboratory of GIS Application Research, Chongqing Normal University, Chongqing, ChinaKey Laboratory of New Technology for Construction of Cities in Mountain Area, Ministry of Education; National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas; School of Civil Engineering, Chongqing University, Chongqing, ChinaKey Laboratory of GIS Application Research, Chongqing Normal University, Chongqing, ChinaEast China Normal University, Shanghai, ChinaKey Laboratory of New Technology for Construction of Cities in Mountain Area, Ministry of Education; National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas; School of Civil Engineering, Chongqing University, Chongqing, ChinaAbstractLandslides have differential characteristics in different regions. This study explores landslide susceptibility mapping (LSM) based on different evaluation units and proposes a strategy for landslides’ differential characteristics in different sub-regions. Based on data of lithology, elevation, and historical landslides, terrain units (TUs) and slope units (SUs) were obtained. LSM was developed using the Random Forest (RF) model and Light Gradient Boosting Machine (LGBM) model. The LGBM-TUs showed the highest performance and were therefore, selected to obtain LSM. The study area was divided into four sub-regions using the geographically weighted regression (GWR) model, along with spatial differential characteristics of topography conditions. The distribution and characteristics of landslides within each sub-region were assessed using GeoDetector. The results illustrated the reliability of the LGBM-TUs model. Lithology, elevation, and average annual rainfall were the dominant factors, while the influence of other factors on the occurrence of landslides was strengthened only when these factors interacted. This study proposed a new method for LSM research to insight the spatial differential characteristics of landslides in various sub-regions. Our results provide novel insights into landslide mitigation.https://www.tandfonline.com/doi/10.1080/19475705.2023.2190858Landslide susceptibility mappingevaluation unitsLight Gradient Boosting MachineGeoDetector |
| spellingShingle | Rui Liu YueKai Ding Deliang Sun Haijia Wen Qingyu Gu Shuxian Shi Mingyong Liao Insights into spatial differential characteristics of landslide susceptibility from sub-region to whole-region cased by northeast Chongqing, China Geomatics, Natural Hazards & Risk Landslide susceptibility mapping evaluation units Light Gradient Boosting Machine GeoDetector |
| title | Insights into spatial differential characteristics of landslide susceptibility from sub-region to whole-region cased by northeast Chongqing, China |
| title_full | Insights into spatial differential characteristics of landslide susceptibility from sub-region to whole-region cased by northeast Chongqing, China |
| title_fullStr | Insights into spatial differential characteristics of landslide susceptibility from sub-region to whole-region cased by northeast Chongqing, China |
| title_full_unstemmed | Insights into spatial differential characteristics of landslide susceptibility from sub-region to whole-region cased by northeast Chongqing, China |
| title_short | Insights into spatial differential characteristics of landslide susceptibility from sub-region to whole-region cased by northeast Chongqing, China |
| title_sort | insights into spatial differential characteristics of landslide susceptibility from sub region to whole region cased by northeast chongqing china |
| topic | Landslide susceptibility mapping evaluation units Light Gradient Boosting Machine GeoDetector |
| url | https://www.tandfonline.com/doi/10.1080/19475705.2023.2190858 |
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