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Water --- Agricultural pollution --- Nitrates --- Eau --- Pollution agricole --- Pollution --- Law and legislation --- Environmental aspects --- Droit --- Aspect de l'environnement --- Nonpoint source pollution --- Hydrology --- Diffuse pollution (Water pollution) --- Non-point pollution --- Non-point source pollution --- Non-point source water pollution --- Nonpoint pollution --- Nonpoint source water pollution --- NPS (Water pollution) --- Pollution, Diffuse (Water pollution) --- Pollution, Nonpoint source --- Best management practices (Pollution prevention) --- Nitrate salts --- Nitric acid --- Oxysalts --- Agricultural runoff --- Runoff, Agricultural --- Agriculture --- Government policy

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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.

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

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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.

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