Soil-Water Conservation, Erosion, and Landslide
The predicted climate change is likely to cause extreme storm events and, subsequently, catastrophic disasters, including soil erosion, debris and landslide formation, loss of life, etc. In the decade from 1976, natural disasters affected less than a billion lives. These numbers have surged in the l...
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| Sprog: | engelsk |
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MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Online adgang: | ONIX_20220506_9783036534329_186 |
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| description | The predicted climate change is likely to cause extreme storm events and, subsequently, catastrophic disasters, including soil erosion, debris and landslide formation, loss of life, etc. In the decade from 1976, natural disasters affected less than a billion lives. These numbers have surged in the last decade alone. It is said that natural disasters have affected over 3 billion lives, killed on average 750,000 people, and cost more than 600 billion US dollars. Of these numbers, a greater proportion are due to sediment-related disasters, and these numbers are an indication of the amount of work still to be done in the field of soil erosion, conservation, and landslides. Scientists, engineers, and planners are all under immense pressure to develop and improve existing scientific tools to model erosion and landslides and, in the process, better conserve the soil. Therefore, the purpose of this Special Issue is to improve our knowledge on the processes and mechanics of soil erosion and landslides. In turn, these will be crucial in developing the right tools and models for soil and water conservation, disaster mitigation, and early warning systems. |
| format | Online |
| id | doab-20.500.12854ir-81120 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-811202024-04-11T15:11:17Z Soil-Water Conservation, Erosion, and Landslide Chen, Su-Chin landslide image classification spectrum similarity analysis extreme rainfall-induced landslide susceptibility model landslide ratio-based logistic regression landslide evolution Typhoon Morakot Taiwan vegetation community vegetation importance value root system soil erosion grey correlation analysis sediment yield RUSLE Lancang–Mekong River basin rainfall threshold landslide probability model debris flow Zechawa Gully mitigation countermeasures Jiuzhaigou Valley water erosion susceptibility Gaussian process climate change radial basis function kernel weighted subspace random forest extreme events extreme weather naive Bayes feature selection machine learning hydrologic model simulated annealing earth system science PSED Model loess ICU static liquefaction mechanical behavior pore structure alpine swamp meadow alpine meadow degradation of riparian vegetation root distribution tensile strength tensile crack soil management land cover changes Syria hillslopes gully erosion vegetation restoration soil erodibility land use bridge pier overfall scour landform change impact on pier shallow water equations wet-dry front outburst flood TVD-scheme MUSCL-Hancock method laboratory model test extreme rainfall rill erosion shallow landslides deep lip surface safety factor rainfall erosivity factor USLE R Deep Neural Network tree ring dendrogeomorphology landslide activity deciduous broadleaved tree Shirakami Mountains spatiotemporal cluster analysis landslide hotspots dam breach seepage overtopping seismic signal flume test breach model n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology The predicted climate change is likely to cause extreme storm events and, subsequently, catastrophic disasters, including soil erosion, debris and landslide formation, loss of life, etc. In the decade from 1976, natural disasters affected less than a billion lives. These numbers have surged in the last decade alone. It is said that natural disasters have affected over 3 billion lives, killed on average 750,000 people, and cost more than 600 billion US dollars. Of these numbers, a greater proportion are due to sediment-related disasters, and these numbers are an indication of the amount of work still to be done in the field of soil erosion, conservation, and landslides. Scientists, engineers, and planners are all under immense pressure to develop and improve existing scientific tools to model erosion and landslides and, in the process, better conserve the soil. Therefore, the purpose of this Special Issue is to improve our knowledge on the processes and mechanics of soil erosion and landslides. In turn, these will be crucial in developing the right tools and models for soil and water conservation, disaster mitigation, and early warning systems. 2022-05-06T11:28:54Z 2022-05-06T11:28:54Z 2022 book ONIX_20220506_9783036534329_186 9783036534329 9783036534312 https://directory.doabooks.org/handle/20.500.12854/81120 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/5149 https://mdpi.com/books/pdfview/book/5149 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-3431-2 10.3390/books978-3-0365-3431-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036534329 9783036534312 392 Basel open access |
| spellingShingle | landslide image classification spectrum similarity analysis extreme rainfall-induced landslide susceptibility model landslide ratio-based logistic regression landslide evolution Typhoon Morakot Taiwan vegetation community vegetation importance value root system soil erosion grey correlation analysis sediment yield RUSLE Lancang–Mekong River basin rainfall threshold landslide probability model debris flow Zechawa Gully mitigation countermeasures Jiuzhaigou Valley water erosion susceptibility Gaussian process climate change radial basis function kernel weighted subspace random forest extreme events extreme weather naive Bayes feature selection machine learning hydrologic model simulated annealing earth system science PSED Model loess ICU static liquefaction mechanical behavior pore structure alpine swamp meadow alpine meadow degradation of riparian vegetation root distribution tensile strength tensile crack soil management land cover changes Syria hillslopes gully erosion vegetation restoration soil erodibility land use bridge pier overfall scour landform change impact on pier shallow water equations wet-dry front outburst flood TVD-scheme MUSCL-Hancock method laboratory model test extreme rainfall rill erosion shallow landslides deep lip surface safety factor rainfall erosivity factor USLE R Deep Neural Network tree ring dendrogeomorphology landslide activity deciduous broadleaved tree Shirakami Mountains spatiotemporal cluster analysis landslide hotspots dam breach seepage overtopping seismic signal flume test breach model n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology Soil-Water Conservation, Erosion, and Landslide |
| title | Soil-Water Conservation, Erosion, and Landslide |
| title_full | Soil-Water Conservation, Erosion, and Landslide |
| title_fullStr | Soil-Water Conservation, Erosion, and Landslide |
| title_full_unstemmed | Soil-Water Conservation, Erosion, and Landslide |
| title_short | Soil-Water Conservation, Erosion, and Landslide |
| title_sort | soil water conservation erosion and landslide |
| topic | landslide image classification spectrum similarity analysis extreme rainfall-induced landslide susceptibility model landslide ratio-based logistic regression landslide evolution Typhoon Morakot Taiwan vegetation community vegetation importance value root system soil erosion grey correlation analysis sediment yield RUSLE Lancang–Mekong River basin rainfall threshold landslide probability model debris flow Zechawa Gully mitigation countermeasures Jiuzhaigou Valley water erosion susceptibility Gaussian process climate change radial basis function kernel weighted subspace random forest extreme events extreme weather naive Bayes feature selection machine learning hydrologic model simulated annealing earth system science PSED Model loess ICU static liquefaction mechanical behavior pore structure alpine swamp meadow alpine meadow degradation of riparian vegetation root distribution tensile strength tensile crack soil management land cover changes Syria hillslopes gully erosion vegetation restoration soil erodibility land use bridge pier overfall scour landform change impact on pier shallow water equations wet-dry front outburst flood TVD-scheme MUSCL-Hancock method laboratory model test extreme rainfall rill erosion shallow landslides deep lip surface safety factor rainfall erosivity factor USLE R Deep Neural Network tree ring dendrogeomorphology landslide activity deciduous broadleaved tree Shirakami Mountains spatiotemporal cluster analysis landslide hotspots dam breach seepage overtopping seismic signal flume test breach model n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology |
| topic_facet | landslide image classification spectrum similarity analysis extreme rainfall-induced landslide susceptibility model landslide ratio-based logistic regression landslide evolution Typhoon Morakot Taiwan vegetation community vegetation importance value root system soil erosion grey correlation analysis sediment yield RUSLE Lancang–Mekong River basin rainfall threshold landslide probability model debris flow Zechawa Gully mitigation countermeasures Jiuzhaigou Valley water erosion susceptibility Gaussian process climate change radial basis function kernel weighted subspace random forest extreme events extreme weather naive Bayes feature selection machine learning hydrologic model simulated annealing earth system science PSED Model loess ICU static liquefaction mechanical behavior pore structure alpine swamp meadow alpine meadow degradation of riparian vegetation root distribution tensile strength tensile crack soil management land cover changes Syria hillslopes gully erosion vegetation restoration soil erodibility land use bridge pier overfall scour landform change impact on pier shallow water equations wet-dry front outburst flood TVD-scheme MUSCL-Hancock method laboratory model test extreme rainfall rill erosion shallow landslides deep lip surface safety factor rainfall erosivity factor USLE R Deep Neural Network tree ring dendrogeomorphology landslide activity deciduous broadleaved tree Shirakami Mountains spatiotemporal cluster analysis landslide hotspots dam breach seepage overtopping seismic signal flume test breach model n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology |
| url | ONIX_20220506_9783036534329_186 |