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Hydrological extremes have become a major concern because of their devastating consequences and their increased risk as a result of climate change and the growing concentration of people and infrastructure in high-risk zones. The analysis of hydrological extremes is challenging due to their rarity and small sample size, and the interconnections between different types of extremes and becomes further complicated by the untrustworthy representation of meso-scale processes involved in extreme events by coarse spatial and temporal scale models as well as biased or missing observations due to technical difficulties during extreme conditions. The complexity of analyzing hydrological extremes calls for robust statistical methods for the treatment of such events. This Special Issue is motivated by the need to apply and develop innovative stochastic and statistical approaches to analyze hydrological extremes under current and future climate conditions. The papers of this Special Issue focus on six topics associated with hydrological extremes: Historical changes in hydrological extremes; Projected changes in hydrological extremes; Downscaling of hydrological extremes; Early warning and forecasting systems for drought and flood; Interconnections of hydrological extremes; Applicability of satellite data for hydrological studies.
artificial neural network --- downscaling --- innovative methods --- reservoir inflow forecasting --- simulation --- extreme events --- climate variability --- sparse monitoring network --- weighted mean analogue --- sampling errors --- precipitation --- drought indices --- discrete wavelet --- SWSI --- hyetograph --- trends --- climate change --- SIAP --- Kabul river basin --- Hurst exponent --- extreme rainfall --- evolutionary strategy --- the Cauca River --- hydrological drought --- global warming --- least square support vector regression --- polynomial normal transform --- TRMM --- satellite data --- Fiji --- heavy storm --- flood regime --- compound events --- random forest --- uncertainty --- seasonal climate forecast --- INDC pledge --- Pakistan --- wavelet artificial neural network --- HBV model --- temperature --- APCC Multi-Model Ensemble --- meteorological drought --- flow regime --- high resolution --- rainfall --- clausius-clapeyron scaling --- statistical downscaling --- ENSO --- forecasting --- variation analogue --- machine learning --- extreme rainfall analysis --- hydrological extremes --- multivariate modeling --- monsoon --- non-stationary --- support vector machine --- ANN model --- stretched Gaussian distribution --- drought prediction --- non-normality --- statistical analysis --- extreme precipitation exposure --- drought analysis --- extreme value theory --- streamflow --- flood management
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The atmospheric part of the water cycle is accelerating, affecting hydrological dynamics, especially in tropical and Mediterranean areas, where landscapes, soils and territories are particularly vulnerable to global warming and land use changes. Across four continents and a dozen of different regions or basins, this SI strives to highlight the environmental and societal vulnerabilities and their links with the water cycle. The basins of three of the greatest basins in the world in terms of streamflows—the Amazon River, the Orinoco River and the Congo River—show their unexpected behaviors. This book aims to present past and present status to improve future land and water management.
Research & information: general --- Africa --- rainfall --- monthly grids --- database --- inverse distance weighted --- agroforestry --- catchment hydrology --- humid tropics --- hydrological modeling --- impact assessment --- land-cover change --- Montane Southeast Asia --- rubber --- trend detection --- water balance --- critical drought --- frequency analysis --- Mediterranean region --- precipitation deficit --- Seyhan River basin --- spatial drought analysis --- standardized precipitation index (SPI) --- Casiquiare --- Orinoco --- Amazon --- bifurcation --- hydro-sedimentary budget --- trends --- Senegal River Basin --- rainfall shift --- hydroclimatic variables --- streamflow --- climate change --- data preprocessing --- donor selection --- drainage area ratio --- Euphrates basin --- moving average --- physical similarity --- streamflow estimation --- ungauged basins --- water salinity --- inverse estuaries --- West Africa --- drought --- mangrove --- Mono basin --- extreme rainfall events --- ENSEMBLE --- regional climate models --- modeling --- MUSLE --- erosion --- solid transport --- dam --- Bouregreg --- Morocco --- overland flow --- inter-rill erosion --- teak tree plantation --- understory --- broom grass --- South–East Asia --- land management --- soil erosion --- flow recession model --- discharge forecast --- Senegal River --- Gambia River --- Niger River --- hydroclimatology --- hydrosedimentology --- hydrogeochemical --- Congo River Basin --- urbanization --- impervious area --- Cameroon --- runoff --- Rambla de Algeciras --- semi-arid --- lake --- lakeshores --- silting --- bank gullies --- UAV --- LiDAR --- DoD --- M3C2 --- Fouta Djallon --- water tower --- depletion (or recession) coefficient --- runoff coefficient --- soil water holding capacity --- basement --- sandstone --- Fula society --- n/a --- South-East Asia
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The atmospheric part of the water cycle is accelerating, affecting hydrological dynamics, especially in tropical and Mediterranean areas, where landscapes, soils and territories are particularly vulnerable to global warming and land use changes. Across four continents and a dozen of different regions or basins, this SI strives to highlight the environmental and societal vulnerabilities and their links with the water cycle. The basins of three of the greatest basins in the world in terms of streamflows—the Amazon River, the Orinoco River and the Congo River—show their unexpected behaviors. This book aims to present past and present status to improve future land and water management.
Africa --- rainfall --- monthly grids --- database --- inverse distance weighted --- agroforestry --- catchment hydrology --- humid tropics --- hydrological modeling --- impact assessment --- land-cover change --- Montane Southeast Asia --- rubber --- trend detection --- water balance --- critical drought --- frequency analysis --- Mediterranean region --- precipitation deficit --- Seyhan River basin --- spatial drought analysis --- standardized precipitation index (SPI) --- Casiquiare --- Orinoco --- Amazon --- bifurcation --- hydro-sedimentary budget --- trends --- Senegal River Basin --- rainfall shift --- hydroclimatic variables --- streamflow --- climate change --- data preprocessing --- donor selection --- drainage area ratio --- Euphrates basin --- moving average --- physical similarity --- streamflow estimation --- ungauged basins --- water salinity --- inverse estuaries --- West Africa --- drought --- mangrove --- Mono basin --- extreme rainfall events --- ENSEMBLE --- regional climate models --- modeling --- MUSLE --- erosion --- solid transport --- dam --- Bouregreg --- Morocco --- overland flow --- inter-rill erosion --- teak tree plantation --- understory --- broom grass --- South–East Asia --- land management --- soil erosion --- flow recession model --- discharge forecast --- Senegal River --- Gambia River --- Niger River --- hydroclimatology --- hydrosedimentology --- hydrogeochemical --- Congo River Basin --- urbanization --- impervious area --- Cameroon --- runoff --- Rambla de Algeciras --- semi-arid --- lake --- lakeshores --- silting --- bank gullies --- UAV --- LiDAR --- DoD --- M3C2 --- Fouta Djallon --- water tower --- depletion (or recession) coefficient --- runoff coefficient --- soil water holding capacity --- basement --- sandstone --- Fula society --- n/a --- South-East Asia
Choose an application
The atmospheric part of the water cycle is accelerating, affecting hydrological dynamics, especially in tropical and Mediterranean areas, where landscapes, soils and territories are particularly vulnerable to global warming and land use changes. Across four continents and a dozen of different regions or basins, this SI strives to highlight the environmental and societal vulnerabilities and their links with the water cycle. The basins of three of the greatest basins in the world in terms of streamflows—the Amazon River, the Orinoco River and the Congo River—show their unexpected behaviors. This book aims to present past and present status to improve future land and water management.
Research & information: general --- Africa --- rainfall --- monthly grids --- database --- inverse distance weighted --- agroforestry --- catchment hydrology --- humid tropics --- hydrological modeling --- impact assessment --- land-cover change --- Montane Southeast Asia --- rubber --- trend detection --- water balance --- critical drought --- frequency analysis --- Mediterranean region --- precipitation deficit --- Seyhan River basin --- spatial drought analysis --- standardized precipitation index (SPI) --- Casiquiare --- Orinoco --- Amazon --- bifurcation --- hydro-sedimentary budget --- trends --- Senegal River Basin --- rainfall shift --- hydroclimatic variables --- streamflow --- climate change --- data preprocessing --- donor selection --- drainage area ratio --- Euphrates basin --- moving average --- physical similarity --- streamflow estimation --- ungauged basins --- water salinity --- inverse estuaries --- West Africa --- drought --- mangrove --- Mono basin --- extreme rainfall events --- ENSEMBLE --- regional climate models --- modeling --- MUSLE --- erosion --- solid transport --- dam --- Bouregreg --- Morocco --- overland flow --- inter-rill erosion --- teak tree plantation --- understory --- broom grass --- South-East Asia --- land management --- soil erosion --- flow recession model --- discharge forecast --- Senegal River --- Gambia River --- Niger River --- hydroclimatology --- hydrosedimentology --- hydrogeochemical --- Congo River Basin --- urbanization --- impervious area --- Cameroon --- runoff --- Rambla de Algeciras --- semi-arid --- lake --- lakeshores --- silting --- bank gullies --- UAV --- LiDAR --- DoD --- M3C2 --- Fouta Djallon --- water tower --- depletion (or recession) coefficient --- runoff coefficient --- soil water holding capacity --- basement --- sandstone --- Fula society
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