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Changes in land use and land cover can have many drivers, including population growth, urbanization, agriculture, demand for food, evolution of socio-economic structure, policy regulations, and climate variability. The impacts of these changes on water resources range from changes in water availability (due to changes in losses of water to evapotranspiration and recharge) to degradation of water quality (increased erosion, salinity, chemical loadings, and pathogens). The impacts are manifested through complex hydro-bio-geo-climate characteristics, which underscore the need for integrated scientific approaches to understand the impacts of landscape change on water resources. Several techniques, such as field studies, long-term monitoring, remote sensing technologies, and advanced modeling studies, have contributed to better understanding the modes and mechanisms by which landscape changes impact water resources. Such research studies can help unlock the complex interconnected influences of landscape on water resources in terms of quantity and quality at multiple spatial and temporal scales. In this Special Issue, we published a set of eight peer-reviewed articles elaborating on some of the specific topics of landscape changes and associated impacts on water resources.
History of engineering & technology --- LID practices --- watershed scale --- impervious area --- peak flow --- surface runoff --- shallow subsurface runoff and infiltration --- evapotranspiration --- stream temperature --- SWAT --- Marys River watershed --- soil temperature --- solar energy --- watershed model --- landscape scale --- VELMA --- bank erosion --- landscape metrics --- diversity --- Sajó River --- UAV --- spatial configuration units --- best management practices (BMPs) --- spatial optimization --- hydrologic response units (HRUs) --- hydrologically connected fields --- slope positions --- watershed process simulation --- DMMF --- landscape configuration --- landscape ecology --- hydrology --- scaling-up conservation agriculture --- drip irrigation --- groundwater potential --- sustainable intensification --- Ethiopia --- flood analysis --- hydrologic modeling --- hydrodynamic modeling --- HEC-RAS --- flood zone delineation --- landscape change --- water resources analysis --- water modeling --- impact assessment
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Changes in land use and land cover can have many drivers, including population growth, urbanization, agriculture, demand for food, evolution of socio-economic structure, policy regulations, and climate variability. The impacts of these changes on water resources range from changes in water availability (due to changes in losses of water to evapotranspiration and recharge) to degradation of water quality (increased erosion, salinity, chemical loadings, and pathogens). The impacts are manifested through complex hydro-bio-geo-climate characteristics, which underscore the need for integrated scientific approaches to understand the impacts of landscape change on water resources. Several techniques, such as field studies, long-term monitoring, remote sensing technologies, and advanced modeling studies, have contributed to better understanding the modes and mechanisms by which landscape changes impact water resources. Such research studies can help unlock the complex interconnected influences of landscape on water resources in terms of quantity and quality at multiple spatial and temporal scales. In this Special Issue, we published a set of eight peer-reviewed articles elaborating on some of the specific topics of landscape changes and associated impacts on water resources.
LID practices --- watershed scale --- impervious area --- peak flow --- surface runoff --- shallow subsurface runoff and infiltration --- evapotranspiration --- stream temperature --- SWAT --- Marys River watershed --- soil temperature --- solar energy --- watershed model --- landscape scale --- VELMA --- bank erosion --- landscape metrics --- diversity --- Sajó River --- UAV --- spatial configuration units --- best management practices (BMPs) --- spatial optimization --- hydrologic response units (HRUs) --- hydrologically connected fields --- slope positions --- watershed process simulation --- DMMF --- landscape configuration --- landscape ecology --- hydrology --- scaling-up conservation agriculture --- drip irrigation --- groundwater potential --- sustainable intensification --- Ethiopia --- flood analysis --- hydrologic modeling --- hydrodynamic modeling --- HEC-RAS --- flood zone delineation --- landscape change --- water resources analysis --- water modeling --- impact assessment
Choose an application
Changes in land use and land cover can have many drivers, including population growth, urbanization, agriculture, demand for food, evolution of socio-economic structure, policy regulations, and climate variability. The impacts of these changes on water resources range from changes in water availability (due to changes in losses of water to evapotranspiration and recharge) to degradation of water quality (increased erosion, salinity, chemical loadings, and pathogens). The impacts are manifested through complex hydro-bio-geo-climate characteristics, which underscore the need for integrated scientific approaches to understand the impacts of landscape change on water resources. Several techniques, such as field studies, long-term monitoring, remote sensing technologies, and advanced modeling studies, have contributed to better understanding the modes and mechanisms by which landscape changes impact water resources. Such research studies can help unlock the complex interconnected influences of landscape on water resources in terms of quantity and quality at multiple spatial and temporal scales. In this Special Issue, we published a set of eight peer-reviewed articles elaborating on some of the specific topics of landscape changes and associated impacts on water resources.
History of engineering & technology --- LID practices --- watershed scale --- impervious area --- peak flow --- surface runoff --- shallow subsurface runoff and infiltration --- evapotranspiration --- stream temperature --- SWAT --- Marys River watershed --- soil temperature --- solar energy --- watershed model --- landscape scale --- VELMA --- bank erosion --- landscape metrics --- diversity --- Sajó River --- UAV --- spatial configuration units --- best management practices (BMPs) --- spatial optimization --- hydrologic response units (HRUs) --- hydrologically connected fields --- slope positions --- watershed process simulation --- DMMF --- landscape configuration --- landscape ecology --- hydrology --- scaling-up conservation agriculture --- drip irrigation --- groundwater potential --- sustainable intensification --- Ethiopia --- flood analysis --- hydrologic modeling --- hydrodynamic modeling --- HEC-RAS --- flood zone delineation --- landscape change --- water resources analysis --- water modeling --- impact assessment --- LID practices --- watershed scale --- impervious area --- peak flow --- surface runoff --- shallow subsurface runoff and infiltration --- evapotranspiration --- stream temperature --- SWAT --- Marys River watershed --- soil temperature --- solar energy --- watershed model --- landscape scale --- VELMA --- bank erosion --- landscape metrics --- diversity --- Sajó River --- UAV --- spatial configuration units --- best management practices (BMPs) --- spatial optimization --- hydrologic response units (HRUs) --- hydrologically connected fields --- slope positions --- watershed process simulation --- DMMF --- landscape configuration --- landscape ecology --- hydrology --- scaling-up conservation agriculture --- drip irrigation --- groundwater potential --- sustainable intensification --- Ethiopia --- flood analysis --- hydrologic modeling --- hydrodynamic modeling --- HEC-RAS --- flood zone delineation --- landscape change --- water resources analysis --- water modeling --- impact assessment
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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 --- 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
Choose an application
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
Choose an application
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
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