Cui Entropy Applications in Environmental and Water Engineering

Entropy Applications in Environmental and Water Engineering

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Beschreibung

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, Rényi, 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.

Autor*in

Huijuan Cui

Themen in »Entropy Applications in Environmental and Water Engineering«

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

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Details

ISBN: 9783038972228
Verlag: MDPI
Erscheinung: 07.03.2019

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