Owing to the increasingly interdisciplinary level of research in EFMH, faculty collaborate extensively both in research and teaching with colleagues throughout the university, including with faculty in the Schools of Engineering, Humanities, Earth, Energy & Environmental Sciences, and Law. EFMH Research, Research in EFMH addresses a broad range of topics related to air, surface and ground water flows, and hydrology and water resources, including: fluid and sediment transport and mixing processes, turbulence and its modeling in stratified environments, biogenic mixing, flow in urban environments, indoor fluid mechanics, wind energy engineering, flow through vegetation and coral reefs in coastal environments, wave-driven flows, particle transport in environmental flows transport and mixing processes in groundwater flows, enhanced in-situ remediation methods, reservoir sedimentation and hydrology and hydrologic ecosystem services, surface water-ground water interactions, scaling and spatial distribution of recycled water systems EFMH research employs state-of-the-art field equipment to measure flow and transport both in the field and in the laboratory. A significant amount of effort involves the development of new and improved laboratory and in-situ and remote-sensing field measurement techniques. Laboratory research is conducted in the Bob and Norma Street Environmental Fluid Mechanics Laboratory. In addition to experimental work, research in EFMH focuses extensively on development of accurate and efficient methods for the simulation of flows in the surface and subsurface and in indoor and urban environments, and in this regard there is extensive collaboration with the Institute for Computational and Mathematical Engineering. EFMH faculty focus on use of computational methods and high-performance computing in the development of three-dimensional models for hydrodynamics and sediment transport in river, estuarine, and lake environments as well as large-scale ocean modeling. In the subsurface, modeling work focuses on uncertainty quantification of groundwater models, large-scale inverse modeling and data assimilation using efficient computational algorithms. In indoor and urban environments, the focus is on coupling of large- and small-scale computational models along with uncertainty quantification.
Stanford University, United States
Owing to the increasingly interdisciplinary level of research in EFMH, faculty collaborate extensively both in research and teaching with colleagues throughout the university, including with faculty in the Schools of Engineering, Humanities, Earth, Energy & Environmental Sciences, and Law. EFMH Research, Research in EFMH addresses a broad range of topics related to air, surface and ground water flows, and hydrology and water resources, including: fluid and sediment transport and mixing processes, turbulence and its modeling in stratified environments, biogenic mixing, flow in urban environments, indoor fluid mechanics, wind energy engineering, flow through vegetation and coral reefs in coastal environments, wave-driven flows, particle transport in environmental flows transport and mixing processes in groundwater flows, enhanced in-situ remediation methods, reservoir sedimentation and hydrology and hydrologic ecosystem services, surface water-ground water interactions, scaling and spatial distribution of recycled water systems EFMH research employs state-of-the-art field equipment to measure flow and transport both in the field and in the laboratory. A significant amount of effort involves the development of new and improved laboratory and in-situ and remote-sensing field measurement techniques. Laboratory research is conducted in the Bob and Norma Street Environmental Fluid Mechanics Laboratory. In addition to experimental work, research in EFMH focuses extensively on development of accurate and efficient methods for the simulation of flows in the surface and subsurface and in indoor and urban environments, and in this regard there is extensive collaboration with the Institute for Computational and Mathematical Engineering. EFMH faculty focus on use of computational methods and high-performance computing in the development of three-dimensional models for hydrodynamics and sediment transport in river, estuarine, and lake environments as well as large-scale ocean modeling. In the subsurface, modeling work focuses on uncertainty quantification of groundwater models, large-scale inverse modeling and data assimilation using efficient computational algorithms. In indoor and urban environments, the focus is on coupling of large- and small-scale computational models along with uncertainty quantification.
Stanford University, United States
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