Search Results - "Soar, P. J"

Beyond Stationarity: Influence of Flow History and Sediment Supply on Coarse Bedload Transport by Downs, P. W., Soar, P. J.

“…Understanding how river bedload responds to climate and land use changes and water resource management initiatives is critical in developing sustainable…”
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Visioning channel evolution for river management: Toward a functional decision support framework by Downs, P. W., Soar, P. J., Cox, A. L., Biedenharn, D. S., Dahl, T. A., Haring, C. P., Thorne, C. R.

“…Improvements in simulating and communicating the evolutionary trajectory of river morphology in response to environmental forcing over multi‐decadal timeframes…”
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Numerical Modeling of River Flow for Ecohydraulic Applications: Some Experiences with Velocity Characterization in Field and Simulated Data by Clifford, N. J, Wright, N. G, Harvey, G, Gurnell, A. M, Harmar, O. P, Soar, P. J

“…Information regarding the spatial and temporal organization of river flow is required for many applications in river management, and is a fundamental…”
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Classifying the hydraulic performance of riffle-pool bedforms for habitat assessment and river rehabilitation design by Emery, Joanne C., Gurnell, Angela M., Clifford, Nicholas J., Petts, Geoffrey E., Morrissey, Ian P., Soar, Philip J.

“…Riffle–pool sequences are the dominant bedforms in gravel and mixed bedded channels of intermediate slope. Their fundamental importance in determining the…”
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Numerical Modeling of River Flow for Ecohydraulic Applications: Some Experiences with Velocity Characterization in Field and Simulated Data: Special Issue on River Flow Hydrodynamics: Physical and Ecological Aspects by CLIFFORD, N. J, WRIGHT, N. G, HARVEY, G, GURNELL, A. M, HARMAR, O. P, SOAR, P. J

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Assessment of hydrodynamic simulation results for eco-hydraulic and eco-hydrological applications: a spatial semivariance approach by Clifford, Nicholas J., Soar, Philip J., Harmar, Oliver P., Gurnell, Angela M., Petts, Geoffrey E., Emery, Joanne C.

“…Output from a three‐dimensional numerical flow model (SSIIM) is used in conjunction with high‐resolution topographic and velocity data to assess such models…”
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