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Dagan’s research covers a variety of subjects in hydrology, applied mechanics, fluid mechanics and naval hydrodynamics. His main field of research is groundwater hydrology; he developed quantitative models, theoretical and applied, of water flow and contaminant transport in porous media (soil and aquifers). The models serve for the better understanding and prediction of processes occurring in the upper soil layer (irrigation, drainage) and in aquifers (exploitation, pollution).
He is one of the founders, in the late 1970s, of the new discipline of stochastic hydrology. Previously, soil and aquifers properties, mainly the permeability, were regarded as spatially homogeneous or well ordered. However, field measurements and even superficial observations, reveal that natural formations are generally heterogeneous. The spatial variability of permeability has a significant impact on water flow and contaminant spreading. Since medium properties vary in a seemingly erratic manner and measurements are generally scarce, their spatial distribution is subjected to uncertainty. Stochastic hydrology quantifies uncertainty with the aid of statistical models, used for analyzing and predicting various field scale processes. This approach has generated considerable interest due to its impact on modeling groundwater pollution, a process which increasingly affects deterioration of water qualify in different parts of the world. The new research field has attracted a large number of scientists, leading to the emergence of an active community.
Dagan’s research covers a variety of subjects in hydrology, applied mechanics, fluid mechanics and naval hydrodynamics. His main field of research is groundwater hydrology; he developed quantitative models, theoretical and applied, of water flow and contaminant transport in porous media (soil and aquifers). The models serve for the better understanding and prediction of processes occurring in the upper soil layer (irrigation, drainage) and in aquifers (exploitation, pollution).
He is one of the founders, in the late 1970s, of the new discipline of stochastic hydrology. Previously, soil and aquifers properties, mainly the permeability, were regarded as spatially homogeneous or well ordered. However, field measurements and even superficial observations, reveal that natural formations are generally heterogeneous. The spatial variability of permeability has a significant impact on water flow and contaminant spreading. Since medium properties vary in a seemingly erratic manner and measurements are generally scarce, their spatial distribution is subjected to uncertainty. Stochastic hydrology quantifies uncertainty with the aid of statistical models, used for analyzing and predicting various field scale processes. This approach has generated considerable interest due to its impact on modeling groundwater pollution, a process which increasingly affects deterioration of water qualify in different parts of the world. The new research field has attracted a large number of scientists, leading to the emergence of an active community.
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WATER RESOURCES RESEARCHno. 1 (2024)
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