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Extreme hydrometeorological events, which cause severe impacts in terms of injuries, casualties, and socioeconomic losses, are being reported more and more frequently worldwide. Climate variability and anthropogenic changes amplify the impacts of these events. This reprint showcases studies which address challenges related to monitoring, modeling, forecasting, and assessing the impacts of hydrometeorological hazards. These studies focus on: (i) the description of recent relevant extreme hydrometeorological events, accompanied by analyses of spatiotemporal features and trends; (ii) the estimation and projection of the impacts of climate change and land-use transformations on the occurrence and severity of hydrometeorological extreme events, with associated uncertainties; (iii) the integration of remote sensing data or climate forecasts and models to provide timely warnings or reliable predictions; and (iv) the use of advanced statistical methodologies to characterize extreme hydrometeorological events, among other topics.
Hydrometeorology --- Methodology. --- Hydrology --- Meteorology
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Multivariate Frequency Analysis of Hydro-Meteorological Variables: A Copula-Based Approach provides comprehensive and detailed descriptions of the approaches and techniques used in multivariate frequency analysis (including, but not limited to copula functions), with illustrative examples and real-life case studies provided. The book presents all background material and new developments in one place, presenting the material in a homogeneous and pedagogical way in order to allow students, engineers and researchers to access and efficiently use all information surrounding this topic.
Copulas (Mathematical statistics) --- Hydrometeorology --- Hydrometeorology. --- Statistical methods. --- Hydrology --- Meteorology --- Distribution (Probability theory)
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This Special Issue collates seven papers regarding the assessment or monitoring of hydrological disasters such as droughts and flood using remote sensing and geography information system (GIS) techniques. The new published research focused on evaluations and models of various hydrological hazards such as droughts and floods. Furthermore, we include two original scientific articles addressing the subject of water quality. This Special Issue received investigations based on different techniques such as remote sensing, GIS, machine learning and monitoring. All papers present findings characterized as unconventional, provocative, innovative and methodologically new. Scientific findings presented in this Special Issue highlight how a combination of various modern analysis techniques (e.g., remote sensing, GIS) can improve our understanding of complex hydrological hazards such as droughts and floods. We hope that the research contained within this Special Issue is useful to the scientific community, policymakers and stakeholders at large in the field of hydrological hazards.
Hydrometeorology --- Floods --- Remote sensing. --- Flooding --- Inundations --- Natural disasters --- Water --- Hydrology --- Meteorology
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Climate change mitigation. --- Flood control. --- Hydrological forecasting. --- Hydrometeorology. --- Hydrology --- Meteorology --- Earth sciences --- Flood prevention --- Flood protection --- Floods --- Prevention of floods --- Rivers --- Forest influences --- Climate mitigation --- Climatic changes --- Climatic mitigation --- Mitigation of climate change --- Environmental protection --- Forecasting --- Prevention --- Regulation --- Mitigation
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