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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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Changes in land use and land cover can have many drivers, including population growth, urbanization, agriculture, demand for food, evolution of socio-economic structure, policy regulations, and climate variability. The impacts of these changes on water resources range from changes in water availability (due to changes in losses of water to evapotranspiration and recharge) to degradation of water quality (increased erosion, salinity, chemical loadings, and pathogens). The impacts are manifested through complex hydro-bio-geo-climate characteristics, which underscore the need for integrated scientific approaches to understand the impacts of landscape change on water resources. Several techniques, such as field studies, long-term monitoring, remote sensing technologies, and advanced modeling studies, have contributed to better understanding the modes and mechanisms by which landscape changes impact water resources. Such research studies can help unlock the complex interconnected influences of landscape on water resources in terms of quantity and quality at multiple spatial and temporal scales. In this Special Issue, we published a set of eight peer-reviewed articles elaborating on some of the specific topics of landscape changes and associated impacts on water resources.

History of engineering & technology --- LID practices --- watershed scale --- impervious area --- peak flow --- surface runoff --- shallow subsurface runoff and infiltration --- evapotranspiration --- stream temperature --- SWAT --- Marys River watershed --- soil temperature --- solar energy --- watershed model --- landscape scale --- VELMA --- bank erosion --- landscape metrics --- diversity --- Sajó River --- UAV --- spatial configuration units --- best management practices (BMPs) --- spatial optimization --- hydrologic response units (HRUs) --- hydrologically connected fields --- slope positions --- watershed process simulation --- DMMF --- landscape configuration --- landscape ecology --- hydrology --- scaling-up conservation agriculture --- drip irrigation --- groundwater potential --- sustainable intensification --- Ethiopia --- flood analysis --- hydrologic modeling --- hydrodynamic modeling --- HEC-RAS --- flood zone delineation --- landscape change --- water resources analysis --- water modeling --- impact assessment

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Changes in land use and land cover can have many drivers, including population growth, urbanization, agriculture, demand for food, evolution of socio-economic structure, policy regulations, and climate variability. The impacts of these changes on water resources range from changes in water availability (due to changes in losses of water to evapotranspiration and recharge) to degradation of water quality (increased erosion, salinity, chemical loadings, and pathogens). The impacts are manifested through complex hydro-bio-geo-climate characteristics, which underscore the need for integrated scientific approaches to understand the impacts of landscape change on water resources. Several techniques, such as field studies, long-term monitoring, remote sensing technologies, and advanced modeling studies, have contributed to better understanding the modes and mechanisms by which landscape changes impact water resources. Such research studies can help unlock the complex interconnected influences of landscape on water resources in terms of quantity and quality at multiple spatial and temporal scales. In this Special Issue, we published a set of eight peer-reviewed articles elaborating on some of the specific topics of landscape changes and associated impacts on water resources.

History of engineering & technology --- LID practices --- watershed scale --- impervious area --- peak flow --- surface runoff --- shallow subsurface runoff and infiltration --- evapotranspiration --- stream temperature --- SWAT --- Marys River watershed --- soil temperature --- solar energy --- watershed model --- landscape scale --- VELMA --- bank erosion --- landscape metrics --- diversity --- Sajó River --- UAV --- spatial configuration units --- best management practices (BMPs) --- spatial optimization --- hydrologic response units (HRUs) --- hydrologically connected fields --- slope positions --- watershed process simulation --- DMMF --- landscape configuration --- landscape ecology --- hydrology --- scaling-up conservation agriculture --- drip irrigation --- groundwater potential --- sustainable intensification --- Ethiopia --- flood analysis --- hydrologic modeling --- hydrodynamic modeling --- HEC-RAS --- flood zone delineation --- landscape change --- water resources analysis --- water modeling --- impact assessment --- LID practices --- watershed scale --- impervious area --- peak flow --- surface runoff --- shallow subsurface runoff and infiltration --- evapotranspiration --- stream temperature --- SWAT --- Marys River watershed --- soil temperature --- solar energy --- watershed model --- landscape scale --- VELMA --- bank erosion --- landscape metrics --- diversity --- Sajó River --- UAV --- spatial configuration units --- best management practices (BMPs) --- spatial optimization --- hydrologic response units (HRUs) --- hydrologically connected fields --- slope positions --- watershed process simulation --- DMMF --- landscape configuration --- landscape ecology --- hydrology --- scaling-up conservation agriculture --- drip irrigation --- groundwater potential --- sustainable intensification --- Ethiopia --- flood analysis --- hydrologic modeling --- hydrodynamic modeling --- HEC-RAS --- flood zone delineation --- landscape change --- water resources analysis --- water modeling --- impact assessment