Keywords
2D Hydraulic Modelling, Quantitative Prioritization, Evaluation Metrics, Logic Modelling, Statistical Analysis, and River Restoration
Location
Session H6: Environmental Fluid Mechanics - Theoretical, Modeling and Experimental Approaches
Start Date
17-6-2014 2:00 PM
End Date
17-6-2014 3:20 PM
Abstract
In the field of river restoration sciences there is a growing need for analytical modelling tools and quantitative processes to help identify and prioritize project sites. Two-dimensional (20) hydraulic models have become more common in recent years and with the availability of robust data sets and computing technology, it is now possible to evaluate large river systems at the reach scale. The Trinity River Restoration Program (TRRP) - Bureau of Reclamation in Northern California is now analyzing a 40 mile segment of the Trinity River to determine priority and implementation sequencing for its Phase II channel rehabilitation projects. A comprehensive approach and quantitative tool has recently been developed to analyze this complex river system referred to as: 20-Hydrodynamic- Based Logic Modelling (20-HBLM). This tool utilizes various hydraulic output parameters combined with biological, ecological, and physical metrics at user-defined spatial scales and flow discharges. These metrics and their associated algorithms are the underpinnings of the 20-HBLM habitat module used to evaluate geomorphic characteristics, riverine processes, and habitat complexity. The habitat metrics are further integrated into a comprehensive Logic Model framework to perform statistical analyses to assess project prioritization. The Logic Model will analyze various potential project sites within the 40 mile restoration reach by evaluating connectivity and key response variable drivers. The 20-HBLM tool will help inform management and decision makers by using a quantitative process to optimize desired response variables with balancing important limiting factors in determining the highest priority locations within the river corridor to implement restoration projects.
Included in
Civil Engineering Commons, Data Storage Systems Commons, Environmental Engineering Commons, Hydraulic Engineering Commons, Other Civil and Environmental Engineering Commons
2D Hydrodynamic Based Logic Modelling Tool for River Restoration Decision Analysis: A Quantitative Approach to Project Prioritization
Session H6: Environmental Fluid Mechanics - Theoretical, Modeling and Experimental Approaches
In the field of river restoration sciences there is a growing need for analytical modelling tools and quantitative processes to help identify and prioritize project sites. Two-dimensional (20) hydraulic models have become more common in recent years and with the availability of robust data sets and computing technology, it is now possible to evaluate large river systems at the reach scale. The Trinity River Restoration Program (TRRP) - Bureau of Reclamation in Northern California is now analyzing a 40 mile segment of the Trinity River to determine priority and implementation sequencing for its Phase II channel rehabilitation projects. A comprehensive approach and quantitative tool has recently been developed to analyze this complex river system referred to as: 20-Hydrodynamic- Based Logic Modelling (20-HBLM). This tool utilizes various hydraulic output parameters combined with biological, ecological, and physical metrics at user-defined spatial scales and flow discharges. These metrics and their associated algorithms are the underpinnings of the 20-HBLM habitat module used to evaluate geomorphic characteristics, riverine processes, and habitat complexity. The habitat metrics are further integrated into a comprehensive Logic Model framework to perform statistical analyses to assess project prioritization. The Logic Model will analyze various potential project sites within the 40 mile restoration reach by evaluating connectivity and key response variable drivers. The 20-HBLM tool will help inform management and decision makers by using a quantitative process to optimize desired response variables with balancing important limiting factors in determining the highest priority locations within the river corridor to implement restoration projects.
