Natural Disasters Occurrence, Reduction, and Restoration in Mountain Regions
Mountain regions are critical because of their diverse geological conditions, dynamic changes, and the multiple natural hazards that often occur. Mountains are high-risk environments that can experience a variety of natural hazards, since initiated hazards often trigger secondary, cascading hazards,...
Zapisane w:
| Format: | Online |
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| Język: | angielski |
| Wydane: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Hasła przedmiotowe: | |
| Dostęp online: | ONIX_20240514_9783725808588_530 |
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Nie ma etykietki, Dołącz pierwszą etykiete!
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| _version_ | 1869517376010059776 |
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| collection | Directory of Open Access Books |
| description | Mountain regions are critical because of their diverse geological conditions, dynamic changes, and the multiple natural hazards that often occur. Mountains are high-risk environments that can experience a variety of natural hazards, since initiated hazards often trigger secondary, cascading hazards, having a significant impact not only on the area of occurrence but often also on up- and downstream regions. High economic losses and human casualties are caused by geophysical (rockfalls, earthquakes, and volcanic activities), hydrological (floods, avalanches, and dammed-lake outbursts), and sediment-related hazards (landslides, driftwood, debris/mud flows, and surface erosion). Under the impacts of global warming and climate change, the spatiotemporal patterns of rainfall and other weather events have become more unevenly distributed, often with a more extreme magnitude and/or intensity of events. The complexity of mountainous regions, in addition to the continued changes in climate and land use, have made it more challenging to predict mountainous hazards and their impacts on communities. Based on the countless efforts made worldwide on natural hazards in mountain regions, tight international collaboration is strongly required to answer questions related to the causes of disasters, the monitoring of hazardous phenomena, predicting disasters, and the effective reduction of hazardous consequences. |
| format | Online |
| id | doab-20.500.12854ir-137915 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1379152024-05-14T14:56:12Z Natural Disasters Occurrence, Reduction, and Restoration in Mountain Regions Chen, Su-Chin debris flow occurrence rainfall index rainfall return period probability extreme drought Mekong SPI Mann–Kendall time series clustering integrated multi-satellite retrievals (IMERG) harmony preference cognitive factors physical elements questionnaire survey landslide potential random forest antecedent landslides machine learning landslide evolution landslide activity vegetation recovery time spatiotemporal hotspot landslide susceptibility analysis event-based landslide inventory ensemble model Shihmen watershed water quality deep learning recursive neural network actions reorganization artificial disaster young farmer resilience community land use quantitative landslide assessment Rize satellite images tea garden debris flow sediment transport mode transition process changing streambed gradient sediment transport concentration flow depth gravel migration velocity flume experiment landslide hazard land use evaluation multiple logistic regression rainfall variability sediment disaster prevention SABO adaptation measure climate change Japan discharge measurement mean surface velocity non-contact measurement acoustic doppler flowmeter magnetic-inductive current meter genetic algorithm (GA) landslide-prone area landslide scarp assessment ellipse-referenced idealized curved surface (ER-ICS) flow paths scenario investigation sediment-related disaster non-structural measurement socio-economic conditions human loss community-based analysis natural hazards landslide susceptibility GIS Vietnam landslides 3D engineering geological model grid- and vector-based surface and subsurface displacement monitoring failure mechanisms geotechnical engineering design earthquake-induced landslides landslide mobility pumice perennial groundwater zone organic soil layers clay mineral soil layers headwater catchment serpentine unsaturated upward flux rainfall-induced landslide sediment disaster Keras multilayer perceptron hyperparameter tuning mountain disaster risk reduction large-scale landslide triggering rainfall early warning system linear regression nonlinear regression uncertainty visual language translation mountain stream facilities perception qualitative analysis scenic beauty estimation (SBE) caption evaluation method (CEM) landslide mitigation monitoring micro-hydro plant costs reduction gray-box model physical modeling rainfall wedge slope the intersection angle half-wedge angle landslide recovery rate local outlier analysis Mann–Kendall trend test spatiotemporal analysis sub-watershed scale Taiwan Nature-based Solutions (NbS) ecosystem services disaster reduction industry-government-academia collaboration n/a thema EDItEUR::R Earth Sciences, Geography, Environment, Planning Mountain regions are critical because of their diverse geological conditions, dynamic changes, and the multiple natural hazards that often occur. Mountains are high-risk environments that can experience a variety of natural hazards, since initiated hazards often trigger secondary, cascading hazards, having a significant impact not only on the area of occurrence but often also on up- and downstream regions. High economic losses and human casualties are caused by geophysical (rockfalls, earthquakes, and volcanic activities), hydrological (floods, avalanches, and dammed-lake outbursts), and sediment-related hazards (landslides, driftwood, debris/mud flows, and surface erosion). Under the impacts of global warming and climate change, the spatiotemporal patterns of rainfall and other weather events have become more unevenly distributed, often with a more extreme magnitude and/or intensity of events. The complexity of mountainous regions, in addition to the continued changes in climate and land use, have made it more challenging to predict mountainous hazards and their impacts on communities. Based on the countless efforts made worldwide on natural hazards in mountain regions, tight international collaboration is strongly required to answer questions related to the causes of disasters, the monitoring of hazardous phenomena, predicting disasters, and the effective reduction of hazardous consequences. 2024-05-14T14:56:08Z 2024-05-14T14:56:08Z 2024 book ONIX_20240514_9783725808588_530 9783725808588 9783725808571 https://directory.doabooks.org/handle/20.500.12854/137915 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9179 https://mdpi.com/books/pdfview/book/9179 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-0857-1 10.3390/books978-3-7258-0857-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725808588 9783725808571 510 open access |
| spellingShingle | debris flow occurrence rainfall index rainfall return period probability extreme drought Mekong SPI Mann–Kendall time series clustering integrated multi-satellite retrievals (IMERG) harmony preference cognitive factors physical elements questionnaire survey landslide potential random forest antecedent landslides machine learning landslide evolution landslide activity vegetation recovery time spatiotemporal hotspot landslide susceptibility analysis event-based landslide inventory ensemble model Shihmen watershed water quality deep learning recursive neural network actions reorganization artificial disaster young farmer resilience community land use quantitative landslide assessment Rize satellite images tea garden debris flow sediment transport mode transition process changing streambed gradient sediment transport concentration flow depth gravel migration velocity flume experiment landslide hazard land use evaluation multiple logistic regression rainfall variability sediment disaster prevention SABO adaptation measure climate change Japan discharge measurement mean surface velocity non-contact measurement acoustic doppler flowmeter magnetic-inductive current meter genetic algorithm (GA) landslide-prone area landslide scarp assessment ellipse-referenced idealized curved surface (ER-ICS) flow paths scenario investigation sediment-related disaster non-structural measurement socio-economic conditions human loss community-based analysis natural hazards landslide susceptibility GIS Vietnam landslides 3D engineering geological model grid- and vector-based surface and subsurface displacement monitoring failure mechanisms geotechnical engineering design earthquake-induced landslides landslide mobility pumice perennial groundwater zone organic soil layers clay mineral soil layers headwater catchment serpentine unsaturated upward flux rainfall-induced landslide sediment disaster Keras multilayer perceptron hyperparameter tuning mountain disaster risk reduction large-scale landslide triggering rainfall early warning system linear regression nonlinear regression uncertainty visual language translation mountain stream facilities perception qualitative analysis scenic beauty estimation (SBE) caption evaluation method (CEM) landslide mitigation monitoring micro-hydro plant costs reduction gray-box model physical modeling rainfall wedge slope the intersection angle half-wedge angle landslide recovery rate local outlier analysis Mann–Kendall trend test spatiotemporal analysis sub-watershed scale Taiwan Nature-based Solutions (NbS) ecosystem services disaster reduction industry-government-academia collaboration n/a thema EDItEUR::R Earth Sciences, Geography, Environment, Planning Natural Disasters Occurrence, Reduction, and Restoration in Mountain Regions |
| title | Natural Disasters Occurrence, Reduction, and Restoration in Mountain Regions |
| title_full | Natural Disasters Occurrence, Reduction, and Restoration in Mountain Regions |
| title_fullStr | Natural Disasters Occurrence, Reduction, and Restoration in Mountain Regions |
| title_full_unstemmed | Natural Disasters Occurrence, Reduction, and Restoration in Mountain Regions |
| title_short | Natural Disasters Occurrence, Reduction, and Restoration in Mountain Regions |
| title_sort | natural disasters occurrence reduction and restoration in mountain regions |
| topic | debris flow occurrence rainfall index rainfall return period probability extreme drought Mekong SPI Mann–Kendall time series clustering integrated multi-satellite retrievals (IMERG) harmony preference cognitive factors physical elements questionnaire survey landslide potential random forest antecedent landslides machine learning landslide evolution landslide activity vegetation recovery time spatiotemporal hotspot landslide susceptibility analysis event-based landslide inventory ensemble model Shihmen watershed water quality deep learning recursive neural network actions reorganization artificial disaster young farmer resilience community land use quantitative landslide assessment Rize satellite images tea garden debris flow sediment transport mode transition process changing streambed gradient sediment transport concentration flow depth gravel migration velocity flume experiment landslide hazard land use evaluation multiple logistic regression rainfall variability sediment disaster prevention SABO adaptation measure climate change Japan discharge measurement mean surface velocity non-contact measurement acoustic doppler flowmeter magnetic-inductive current meter genetic algorithm (GA) landslide-prone area landslide scarp assessment ellipse-referenced idealized curved surface (ER-ICS) flow paths scenario investigation sediment-related disaster non-structural measurement socio-economic conditions human loss community-based analysis natural hazards landslide susceptibility GIS Vietnam landslides 3D engineering geological model grid- and vector-based surface and subsurface displacement monitoring failure mechanisms geotechnical engineering design earthquake-induced landslides landslide mobility pumice perennial groundwater zone organic soil layers clay mineral soil layers headwater catchment serpentine unsaturated upward flux rainfall-induced landslide sediment disaster Keras multilayer perceptron hyperparameter tuning mountain disaster risk reduction large-scale landslide triggering rainfall early warning system linear regression nonlinear regression uncertainty visual language translation mountain stream facilities perception qualitative analysis scenic beauty estimation (SBE) caption evaluation method (CEM) landslide mitigation monitoring micro-hydro plant costs reduction gray-box model physical modeling rainfall wedge slope the intersection angle half-wedge angle landslide recovery rate local outlier analysis Mann–Kendall trend test spatiotemporal analysis sub-watershed scale Taiwan Nature-based Solutions (NbS) ecosystem services disaster reduction industry-government-academia collaboration n/a thema EDItEUR::R Earth Sciences, Geography, Environment, Planning |
| topic_facet | debris flow occurrence rainfall index rainfall return period probability extreme drought Mekong SPI Mann–Kendall time series clustering integrated multi-satellite retrievals (IMERG) harmony preference cognitive factors physical elements questionnaire survey landslide potential random forest antecedent landslides machine learning landslide evolution landslide activity vegetation recovery time spatiotemporal hotspot landslide susceptibility analysis event-based landslide inventory ensemble model Shihmen watershed water quality deep learning recursive neural network actions reorganization artificial disaster young farmer resilience community land use quantitative landslide assessment Rize satellite images tea garden debris flow sediment transport mode transition process changing streambed gradient sediment transport concentration flow depth gravel migration velocity flume experiment landslide hazard land use evaluation multiple logistic regression rainfall variability sediment disaster prevention SABO adaptation measure climate change Japan discharge measurement mean surface velocity non-contact measurement acoustic doppler flowmeter magnetic-inductive current meter genetic algorithm (GA) landslide-prone area landslide scarp assessment ellipse-referenced idealized curved surface (ER-ICS) flow paths scenario investigation sediment-related disaster non-structural measurement socio-economic conditions human loss community-based analysis natural hazards landslide susceptibility GIS Vietnam landslides 3D engineering geological model grid- and vector-based surface and subsurface displacement monitoring failure mechanisms geotechnical engineering design earthquake-induced landslides landslide mobility pumice perennial groundwater zone organic soil layers clay mineral soil layers headwater catchment serpentine unsaturated upward flux rainfall-induced landslide sediment disaster Keras multilayer perceptron hyperparameter tuning mountain disaster risk reduction large-scale landslide triggering rainfall early warning system linear regression nonlinear regression uncertainty visual language translation mountain stream facilities perception qualitative analysis scenic beauty estimation (SBE) caption evaluation method (CEM) landslide mitigation monitoring micro-hydro plant costs reduction gray-box model physical modeling rainfall wedge slope the intersection angle half-wedge angle landslide recovery rate local outlier analysis Mann–Kendall trend test spatiotemporal analysis sub-watershed scale Taiwan Nature-based Solutions (NbS) ecosystem services disaster reduction industry-government-academia collaboration n/a thema EDItEUR::R Earth Sciences, Geography, Environment, Planning |
| url | ONIX_20240514_9783725808588_530 |