The Experts below are selected from a list of 12 Experts worldwide ranked by ideXlab platform
Paul D. Bates - One of the best experts on this subject based on the ideXlab platform.
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Integration of high-resolution topographic data with floodplain flow models.
Hydrological Processes, 2000Co-Authors: Kate Marks, Paul D. BatesAbstract:Two-dimensional hydraulic models of floodplain flow are at the forefront of current research into flood inundation mechanisms, but they are, however, currently constrained by inadequate Parameterization of topography and friction, primarily due to insufficient or inaccurate data. This paper reviews the effects of topographic representation on flood inundation extent prediction and presents initial results of a flood simulation using a new topographic Parameterization Surface produced from airborne LIDAR (laser induced direction and ranging) data. Copyright © 2000 John Wiley & Sons, Ltd.
Kate Marks - One of the best experts on this subject based on the ideXlab platform.
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Integration of high-resolution topographic data with floodplain flow models.
Hydrological Processes, 2000Co-Authors: Kate Marks, Paul D. BatesAbstract:Two-dimensional hydraulic models of floodplain flow are at the forefront of current research into flood inundation mechanisms, but they are, however, currently constrained by inadequate Parameterization of topography and friction, primarily due to insufficient or inaccurate data. This paper reviews the effects of topographic representation on flood inundation extent prediction and presents initial results of a flood simulation using a new topographic Parameterization Surface produced from airborne LIDAR (laser induced direction and ranging) data. Copyright © 2000 John Wiley & Sons, Ltd.
Yalin Wang - One of the best experts on this subject based on the ideXlab platform.
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Surface-Based Morphometry
Brain Mapping, 2015Co-Authors: J. Shi, Yalin WangAbstract:Surface-based human brain mapping methods and statistical morphometric analyses are attracting more interests, due to their subvoxel accuracy and the capability of detecting subtle local changes in brain anatomical shapes. Surface-based methods have extensive applications in the human brain mapping field, including comparison of 3-D anatomical models across subjects, construction of population-based brain atlases, and detection of group patterns in structural magnetic resonance imaging (MRI) data. Here, we attempt to give an overview of brain Surface-based morphometry algorithms and software, highlighted by some recently developed techniques, such as brain Surface conformal Parameterization, Surface fluid registration, and multivariate statistical measurements.
J. Shi - One of the best experts on this subject based on the ideXlab platform.
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Surface-Based Morphometry
Brain Mapping, 2015Co-Authors: J. Shi, Yalin WangAbstract:Surface-based human brain mapping methods and statistical morphometric analyses are attracting more interests, due to their subvoxel accuracy and the capability of detecting subtle local changes in brain anatomical shapes. Surface-based methods have extensive applications in the human brain mapping field, including comparison of 3-D anatomical models across subjects, construction of population-based brain atlases, and detection of group patterns in structural magnetic resonance imaging (MRI) data. Here, we attempt to give an overview of brain Surface-based morphometry algorithms and software, highlighted by some recently developed techniques, such as brain Surface conformal Parameterization, Surface fluid registration, and multivariate statistical measurements.
Bernard Ladouche - One of the best experts on this subject based on the ideXlab platform.
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How karst areas amplify or attenuate river flood peaks? A response using a diffusive wave model with lateral flows
2015Co-Authors: Jean-baptiste Charlier, Roger Moussa, Vincent Bailly-comte, Jean-françois Desprats, Bernard LadoucheAbstract:This paper investigates the role of karst aquifers on flood generation and prop-agation using the Hayami Diffusive Wave (DW) model accounting for uniformly distributed lateral flows. The inverse model was applied on the main channel reaches of the Tarn basin at Millau (2400 km²) in southern France to assess lateral inflows from karstic springs as well as lateral outflows from river losses. Results show that the DW model, which is simple, parsimonious and easy-to-use, is able to quantify lateral flows avoiding difficult Parameterization. Surface/groundwater exchanges were characterized on several reaches along the stream, showing a highly variable attenuation/amplification influence of flood peak by karst units during a single flood event. We showed that the upstream part of the karst area have a dominant attenuation role by re-infiltrating part of runoff from the head-water basin in hard-rock areas, while the downstream part have a dominant amplification role due to high contributions of karst groundwater. These results improved the conceptual hydrogeological model of the Grands Causses region.