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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.
Technology: general issues --- History of engineering & technology --- Environmental science, engineering & technology --- 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 --- 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
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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.
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
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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.
Technology: general issues --- History of engineering & technology --- Environmental science, engineering & technology --- 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
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This Special Issue welcomes research papers on new approaches that have been applied or are under development to improve preparedness and emergency response. We especially encourage the submission of inter-disciplinary and crosscutting research. We also encourage the submission of manuscripts that focus on various types of disasters, disaster and emergency research, and on policy or management solutions at multiple scales.
Public health & preventive medicine --- alcohol --- ethanol --- pedestrians --- traffic accidents --- flood --- disasters --- emergency preparedness --- hospital preparedness --- Saudi Arabia --- first aid --- education --- basic life support --- cardiopulmonary resuscitation --- feedback device --- simulation --- quality --- skill retention --- motivation --- chest recoil --- mannequin --- contact tracing --- ethics --- pandemic --- psychology --- public education --- public health --- alternative care facilities --- flexible surge capacity --- major incidents and disasters --- surge capacity --- information and communication technology --- smart disaster management system --- Internet of Things --- disaster --- flood early warning --- flood response --- community volunteerism --- disaster volunteer group --- resilience --- governance and planning --- disaster management --- sustainability --- security --- safety --- crisis management --- risk management --- emergencies --- health emergency --- management --- disaster legislation --- preparedness --- COVID-19 --- stress --- stressors --- cortisol --- medical simulation --- low-fidelity simulation --- high-fidelity simulation --- stress appraisal questionnaire --- KOS-B --- nursing --- machine learning --- health geomatics --- geographic information system --- emergency medical services --- spatial filtering --- geo-AI --- resources management
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