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Statistical Analysis and Stochastic Modelling of Hydrological Extremes

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ISBN: 9783039216642 / 9783039216659 Year: Pages: 294 DOI: 10.3390/books978-3-03921-665-9 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Meteorology and Climatology
Added to DOAB on : 2019-12-09 16:10:12
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Abstract

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.

Keywords

rainfall --- monsoon --- high resolution --- TRMM --- drought prediction --- APCC Multi-Model Ensemble --- seasonal climate forecast --- machine learning --- sparse monitoring network --- Fiji --- drought analysis --- ANN model --- drought indices --- meteorological drought --- SIAP --- SWSI --- hydrological drought --- discrete wavelet --- global warming --- statistical downscaling --- HBV model --- flow regime --- uncertainty --- reservoir inflow forecasting --- artificial neural network --- wavelet artificial neural network --- weighted mean analogue --- variation analogue --- streamflow --- artificial neural network --- simulation --- forecasting --- support vector machine --- evolutionary strategy --- heavy storm --- hyetograph --- temperature --- clausius-clapeyron scaling --- climate change --- the Cauca River --- climate variability --- ENSO --- extreme rainfall --- trends --- statistical downscaling --- random forest --- least square support vector regression --- extreme rainfall --- polynomial normal transform --- multivariate modeling --- sampling errors --- non-normality --- extreme rainfall analysis --- statistical analysis --- hydrological extremes --- stretched Gaussian distribution --- Hurst exponent --- INDC pledge --- precipitation --- extreme events --- extreme precipitation exposure --- non-stationary --- extreme value theory --- uncertainty --- flood regime --- flood management --- Kabul river basin --- Pakistan --- extreme events --- innovative methods --- downscaling --- forecasting --- compound events --- satellite data

Climate Variability and Climate Change Impacts on Land Surface, Hydrological Processes and Water Management

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ISBN: 9783039215072 / 9783039215089 Year: Pages: 460 DOI: 10.3390/books978-3-03921-508-9 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Environmental Sciences
Added to DOAB on : 2019-12-09 11:49:15
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During the last several decades, Earth´s climate has undergone significant changes due to anthropogenic global warming, and feedbacks to the water cycle. Therefore, persistent efforts are required to improve our understanding of hydrological processes and to engage in efficient water management strategies that explicitly consider changing environmental conditions. The twenty-four contributions in this book have broadly addressed topics across four major research areas: (1) Climate and land-use change impacts on hydrological processes, (2) hydrological trends and causality analysis faced in hydrology, (3) hydrological model simulations and predictions, and (4) reviews on water prices and climate extremes. The broad spectrum of international contributions to the Special Issue indicates that climate change impacts on water resources analysis attracts global attention. We hope that the collection of articles presented here can provide scientists, policymakers and stakeholders alike with insights that support sustainable decision-making in the face of climate change and increasingly scarce environmental resources.

Keywords

hydrological drought --- Three Gorges Dam --- GRACE --- compound extremes --- climate change --- multivariate distribution --- quantile regression --- indicator --- PUB --- rainfall-runoff experiments --- distributed hydrological model --- Hydro-Informatic Modelling System (HIMS) --- freshwater availability --- runoff --- simulated rainfall --- plot scale --- litter layer --- topsoil --- karst --- Yellow River Delta --- estuarine wetlands --- spatiotemporal change analysis --- remote sensing --- intra-annual climate change --- variation in percentage of flood-season precipitation --- natural streamflow variation --- contribution and sensitivity analysis --- Yellow River --- highland agricultural field area --- diffuse pollutant discharge --- multiple regression model --- climate change --- jackknife validation --- water security --- water pricing --- sustainable water management --- trends and patterns --- economics --- precipitation --- air temperature --- river discharge --- Mann-Kendall test --- Selenga river basin --- Lake Baikal basin --- Mongolia --- snowfall to precipitation ratio --- WRF model --- arid region --- Xinjiang --- water resources management --- climate change --- LULCC --- Budyko equation --- streamflow --- drought --- climate variability --- land surface change --- runoff --- Budyko framework --- elasticity coefficient --- Weihe River Basin --- flood --- streamflow --- CMIP5 --- climate change --- HEC-RAS --- trend analysis --- precipitation --- temperature --- eco-region --- Ethiopia --- Three Gorges Project --- dam --- runoff changes --- flood control --- Yangtze River --- benefits --- evapotranspiration --- Pan evaporation --- TFPW-MK --- Haihe River Basin --- hydrological simulation --- quantitative analysis --- SWAT model --- land use/cover change --- climate change --- scenario simulation --- Climate variability --- Large-scale climate indices --- Reservoir inflow forecasting --- Ensemble empirical mode decomposition --- Time series model --- Artificial intelligence model --- grid-based --- HRU-based --- SHM --- SWAT --- large scale basin --- climate change --- human activities --- power operations --- cascade joint operation chart --- inter-basin water transfer project --- climate change --- MATOPIBA agricultural frontier --- water security --- hydroclimatic analysis --- water conflicts --- average annual runoff --- runoff map --- hydrological model --- GIS --- DPR Korea --- streamflow reduction --- climate change --- coal mining --- SWCM --- coal mining concentrated watershed --- the Loess Plateau --- hydrology --- land cover --- land use and climate change --- water resources management --- macro scale modeling --- climate variability --- climate change --- land use change --- hydrological processes --- trends --- water management --- model --- predictions

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eng (2)


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