Flood Early Warning and Risk Modelling
Extreme hydrological phenomena are one of the most common causes of human life loss and material damage as a result of the manifestation of natural hazards around human communities. Climatic changes have directly impacted the temporal distribution of previously known flood events, inducing significa...
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| Format: | Online |
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| Language: | English |
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MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Online Access: | ONIX_20220506_9783036537788_18 |
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| description | Extreme hydrological phenomena are one of the most common causes of human life loss and material damage as a result of the manifestation of natural hazards around human communities. Climatic changes have directly impacted the temporal distribution of previously known flood events, inducing significantly increased frequency rates as well as manifestation intensities. Understanding the occurrence and manifestation behavior of flood risk as well as identifying the most common time intervals during which there is a greater probability of flood occurrence should be a subject of social priority, given the potential casualties and damage involved. However, considering the numerous flood analysis models that have been currently developed, this phenomenon has not yet been fully comprehended due to the numerous technical challenges that have arisen. These challenges can range from lack of measured field data to difficulties in integrating spatial layers of different scales as well as other potential digital restrictions.The aim of the current book is to promote publications that address flood analysis and apply some of the most novel inundation prediction models, as well as various hydrological risk simulations related to floods, that will enhance the current state of knowledge in the field as well as lead toward a better understanding of flood risk modeling. Furthermore, in the current book, the temporal aspect of flood propagation, including alert times, warning systems, flood time distribution cartographic material, and the numerous parameters involved in flood risk modeling, are discussed. |
| format | Online |
| id | doab-20.500.12854ir-80953 |
| 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-809532024-04-11T15:11:05Z Flood Early Warning and Risk Modelling Iosub, Marina Enea, Andrei flood maps flood risk management HAND model WebAssembly flood risk mapping web systems floods urban flooding flood analysis design floods HEC-HMS HEC-RAS dam break unsteady flood mapping Kesem flood risk poorly gauged watersheds regional flood frequency flood modeling GPU-parallel numerical scheme bridges story maps disaster risk reduction slide GARI tool risk communication climate change flood early warning forecasting hydrological extremes machine learning Andes Nilwala river basin coupled flood modelling iRIC n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology Extreme hydrological phenomena are one of the most common causes of human life loss and material damage as a result of the manifestation of natural hazards around human communities. Climatic changes have directly impacted the temporal distribution of previously known flood events, inducing significantly increased frequency rates as well as manifestation intensities. Understanding the occurrence and manifestation behavior of flood risk as well as identifying the most common time intervals during which there is a greater probability of flood occurrence should be a subject of social priority, given the potential casualties and damage involved. However, considering the numerous flood analysis models that have been currently developed, this phenomenon has not yet been fully comprehended due to the numerous technical challenges that have arisen. These challenges can range from lack of measured field data to difficulties in integrating spatial layers of different scales as well as other potential digital restrictions.The aim of the current book is to promote publications that address flood analysis and apply some of the most novel inundation prediction models, as well as various hydrological risk simulations related to floods, that will enhance the current state of knowledge in the field as well as lead toward a better understanding of flood risk modeling. Furthermore, in the current book, the temporal aspect of flood propagation, including alert times, warning systems, flood time distribution cartographic material, and the numerous parameters involved in flood risk modeling, are discussed. 2022-05-06T11:17:54Z 2022-05-06T11:17:54Z 2022 book ONIX_20220506_9783036537788_18 9783036537788 9783036537771 https://directory.doabooks.org/handle/20.500.12854/80953 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/5291 https://mdpi.com/books/pdfview/book/5291 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-3777-1 10.3390/books978-3-0365-3777-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036537788 9783036537771 120 Basel open access |
| spellingShingle | flood maps flood risk management HAND model WebAssembly flood risk mapping web systems floods urban flooding flood analysis design floods HEC-HMS HEC-RAS dam break unsteady flood mapping Kesem flood risk poorly gauged watersheds regional flood frequency flood modeling GPU-parallel numerical scheme bridges story maps disaster risk reduction slide GARI tool risk communication climate change flood early warning forecasting hydrological extremes machine learning Andes Nilwala river basin coupled flood modelling iRIC n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology Flood Early Warning and Risk Modelling |
| title | Flood Early Warning and Risk Modelling |
| title_full | Flood Early Warning and Risk Modelling |
| title_fullStr | Flood Early Warning and Risk Modelling |
| title_full_unstemmed | Flood Early Warning and Risk Modelling |
| title_short | Flood Early Warning and Risk Modelling |
| title_sort | flood early warning and risk modelling |
| topic | flood maps flood risk management HAND model WebAssembly flood risk mapping web systems floods urban flooding flood analysis design floods HEC-HMS HEC-RAS dam break unsteady flood mapping Kesem flood risk poorly gauged watersheds regional flood frequency flood modeling GPU-parallel numerical scheme bridges story maps disaster risk reduction slide GARI tool risk communication climate change flood early warning forecasting hydrological extremes machine learning Andes Nilwala river basin coupled flood modelling iRIC n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology |
| topic_facet | flood maps flood risk management HAND model WebAssembly flood risk mapping web systems floods urban flooding flood analysis design floods HEC-HMS HEC-RAS dam break unsteady flood mapping Kesem flood risk poorly gauged watersheds regional flood frequency flood modeling GPU-parallel numerical scheme bridges story maps disaster risk reduction slide GARI tool risk communication climate change flood early warning forecasting hydrological extremes machine learning Andes Nilwala river basin coupled flood modelling iRIC n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology |
| url | ONIX_20220506_9783036537788_18 |