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Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia

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ISBN: 9783039212354 / 9783039212361 Year: Pages: 384 DOI: 10.3390/books978-3-03921-236-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Geography
Added to DOAB on : 2019-08-28 11:21:27
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Abstract

To promote scientific understanding of surface processes in East Asia, we have published details of the CMADS dataset in the journal, Water, and expect that users around the world will learn about CMADS datasets while promoting the development of hydrometeorological disciplines in East Asia. We hope and firmly believe that scientific development in East Asia and our understanding of this typical region will be further advanced.

Keywords

East Asia --- CMADS --- meteorological input uncertainty --- hydrological modelling --- SWAT --- non-point source pollution models --- CMADS --- Qinghai-Tibet Plateau (TP) --- SWAT --- CFSR --- TRMM --- PERSIANN --- PERSIANN-CDR --- CMADS --- satellite-derived rainfall --- streamflow simulation --- SWAT --- Han River --- GLUE --- hydrological model --- ParaSol --- SUFI2 --- uncertainty analysis --- SWAT model --- CMADS --- Lijiang River --- runoff --- uncertainty analysis --- hydrological elements --- statistical analysis --- SWAT --- CMADS --- climate variability --- land use change --- streamflow --- potential evapotranspiration --- Penman-Monteith --- CMADS --- China --- CMADS dataset --- parameter sensitivity --- SUFI-2 --- Yellow River --- reanalysis products --- satellite-based products --- hydrological model --- bayesian model averaging --- Xiang River basin --- total nitrogen --- accumulation --- SWAT model --- CMADS --- Biliuhe reservoir --- CMADS --- SWAT --- East Asia --- meteorological --- hydrological --- precipitation --- TMPA-3B42V7 --- CMADS --- hydrologic model --- uncertainty --- reservoirs --- operation rule --- Noah LSM-HMS --- capacity distribution --- aggregated reservoir --- CMADS --- CMADS --- IMERG --- statistical analysis --- SWAT hydrological simulation --- Jinsha River Basin --- blue and green water flows --- climate variability --- sensitivity analysis --- Erhai Lake Basin --- CMADS --- SWAT --- JBR --- soil moisture --- hydrological processes --- spatio-temporal --- sloping black soil farmland --- soil moisture content --- freeze–thaw period --- soil temperature --- CMADS-ST --- reservoir parameters --- runoff --- CMADS --- SWAT --- Yalong River --- CMADS --- impact --- hydrological modeling --- SWAT --- runoff --- sediment yield --- land-use change --- SWAT --- CMADS

Entropy Applications in Environmental and Water Engineering

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ISBN: 9783038972228 Year: Pages: 512 DOI: 10.3390/books978-3-03897-223-5 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Environmental Engineering --- General and Civil Engineering --- Technology (General)
Added to DOAB on : 2019-03-21 15:50:41
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Entropy theory has wide applications to a range of problems in the fields of environmental and water engineering, including river hydraulic geometry, fluvial hydraulics, water monitoring network design, river flow forecasting, floods and droughts, river network analysis, infiltration, soil moisture, sediment transport, surface water and groundwater quality modeling, ecosystems modeling, water distribution networks, environmental and water resources management, and parameter estimation. Such applications have used several different entropy formulations, such as Shannon, Tsallis, Reacutenyi Burg, Kolmogorov, Kapur, configurational, and relative entropies, which can be derived in time, space, or frequency domains. More recently, entropy-based concepts have been coupled with other theories, including copula and wavelets, to study various issues associated with environmental and water resources systems. Recent studies indicate the enormous scope and potential of entropy theory in advancing research in the fields of environmental and water engineering, including establishing and explaining physical connections between theory and reality. The objective of this Special Issue is to provide a platform for compiling important recent and current research on the applications of entropy theory in environmental and water engineering. The contributions to this Special Issue have addressed many aspects associated with entropy theory applications and have shown the enormous scope and potential of entropy theory in advancing research in the fields of environmental and water engineering.

Keywords

complexity --- streamflow --- water level --- composite multiscale sample entropy --- trend --- Poyang Lake basin --- four-parameter exponential gamma distribution --- principle of maximum entropy --- precipitation frequency analysis --- methods of moments --- maximum likelihood estimation --- flood frequency analysis --- generalized gamma (GG) distribution --- principle of maximum entropy (POME) --- entropy theory --- principle of maximum entropy (POME) --- GB2 distribution --- flood frequency analysis --- non-point source pollution --- ANN --- entropy weighting method --- data-scarce --- multi-events --- spatio-temporal variability --- soil water content --- entropy --- arid region --- joint entropy --- NDVI --- temperature --- precipitation --- groundwater depth --- Hei River basin --- turbulent flow --- canopy flow --- randomness --- coherent structures --- Shannon entropy --- Kolmogorov complexity --- entropy --- information transfer --- optimization --- radar --- rainfall network --- water resource carrying capacity --- forewarning model --- entropy of information --- fuzzy analytic hierarchy process --- projection pursuit --- accelerating genetic algorithm --- entropy production --- conditional entropy production --- stochastic processes --- scaling --- climacogram --- turbulence --- water resources vulnerability --- connection entropy --- changing environment --- set pair analysis --- Anhui Province --- cross-entropy minimization --- land suitability evaluation --- spatial optimization --- monthly streamflow forecasting --- Burg entropy --- configurational entropy --- entropy spectral analysis time series analysis --- entropy --- water monitoring --- network design --- hydrometric network --- information theory --- entropy applications --- hydrological risk analysis --- maximum entropy-copula method --- uncertainty --- Loess Plateau --- entropy --- water engineering --- Tsallis entropy --- principle of maximum entropy --- Lagrangian function --- probability distribution function --- flux concentration relation --- uncertainty --- information --- informational entropy --- variation of information --- continuous probability distribution functions --- confidence intervals --- precipitation --- variability --- marginal entropy --- crop yield --- Hexi corridor --- flow duration curve --- Shannon entropy --- entropy parameter --- modeling --- spatial and dynamics characteristic --- hydrology --- tropical rainfall --- statistical scaling --- Tsallis entropy --- multiplicative cascades --- Beta-Lognormal model --- rainfall forecast --- cross entropy --- ant colony fuzzy clustering --- combined forecast --- information entropy --- mutual information --- kernel density estimation --- ENSO --- nonlinear relation --- scaling laws --- power laws --- water distribution networks --- robustness --- flow entropy --- entropy theory --- frequency analysis --- hydrometeorological extremes --- Bayesian technique --- rainfall --- entropy ensemble filter --- ensemble model simulation criterion --- EEF method --- bootstrap aggregating --- bagging --- bootstrap neural networks --- El Niño --- ENSO --- neural network forecast --- sea surface temperature --- tropical Pacific --- entropy --- cross elasticity --- mean annual runoff --- water resources --- resilience --- quaternary catchment --- complement --- substitute --- entropy theory --- complex systems --- hydraulics --- hydrology --- water engineering --- environmental engineering

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MDPI - Multidisciplinary Digital Publishing Institute (2)


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CC by-nc-nd (2)


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eng (2)


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2019 (2)