Delta flood and drainage: Difference between revisions
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Flooding relief and improved drainage are two of the many socioeconomic benefits that river delta restoration projects deliver as valued ecosystem services to river delta communities. Removing levees and levee setbacks reduce inundation periods, increase channel-flow conveyance and increase floodplain capacity as well as improving drainage of properties in the vicinity of river deltas. From a flood-management perspective, there are three ways a project may reduce flooding vulnerability in the community: reducing inundation periods, increasing channel-flow conveyance and increasing floodplain capacity. These benefits are dependent on site specific vulnerabilities related to sea level rise and other climate change impacts so sea level modeling, in addition to hydrodynamic modeling, is often associated with predicting and measuring changes in flood storage and drainage. Monitoring questions relate to a project’s ability to improve the site’s capacity to moderate storm-related flooding and the potential for improved resilience to climate change (Brophy and Van de Wetering 2011). | Flooding relief and improved drainage are two of the many socioeconomic benefits that river delta restoration projects deliver as valued ecosystem services to river delta communities. Removing levees and levee setbacks reduce inundation periods, increase channel-flow conveyance and increase floodplain capacity as well as improving drainage of properties in the vicinity of river deltas. From a flood-management perspective, there are three ways a project may reduce flooding vulnerability in the community: reducing inundation periods, increasing channel-flow conveyance and increasing floodplain capacity. These benefits are dependent on site specific vulnerabilities related to sea level rise and other climate change impacts so sea level modeling, in addition to hydrodynamic modeling, is often associated with predicting and measuring changes in flood storage and drainage. Monitoring questions relate to a project’s ability to improve the site’s capacity to moderate storm-related flooding and the potential for improved resilience to climate change (Brophy and Van de Wetering 2011). | ||
===FD1. Predict sensitivity to the composition and configuration of conveyance, tide gating, and restoration to maximize field drainage and habitat function in a delta setting=== | ===FD1. Predict sensitivity to the composition and configuration of conveyance, tide gating, and restoration to maximize field drainage and habitat function in a delta setting=== | ||
===FD2. Develop and reduce costs of robust standard methods to predict the reduction in frequency and/or duration of flood events resulting from project change in flood storage capacity scenarios=== | ===FD2. Develop and reduce costs of robust standard methods to predict the reduction in frequency and/or duration of flood events resulting from project change in flood storage capacity scenarios=== | ||
===FD3. Develop and reduce costs of robust standard methods to predict the effect of climate change parameters (sea level rise, reduced snowpack storage, reduced precipitation, etc) on future flood frequency and duration=== | ===FD3. Develop and reduce costs of robust standard methods to predict the effect of climate change parameters (sea level rise, reduced snowpack storage, reduced precipitation, etc) on future flood frequency and duration=== | ||
===FD4. Develop and reduce costs for standard method for predicting how tidal reconnection affects field drainage and groundwater salinity at timing important for agricultural stakeholders=== | ===FD4. Develop and reduce costs for standard method for predicting how tidal reconnection affects field drainage and groundwater salinity at timing important for agricultural stakeholders=== | ||
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Agriculture and settlements in deltas commmonly depend on a set of flood defenses and drainage systems to manage water levels. Restoration can either enhance or undermine these systems, and flood and drainage systems may in turn have impacts of ecosystem services. Social acceptance of restoration may depend on our ability to use restoration to predict and enhance flood and drainage function on adjacent lands---
Summary
The ability to accurately predict changes in flooding and drainage of agricultural land as a direct result of restoration project actions represents a key uncertainty in our ability to predict the benefits of these actions to adjacent landowners and community stakeholders in general. Currently there are sea level rise predictive models and hydrologic models that incorporate change in snowpack and participation that describe flood frequency, duration and storage capacity. There are also storm protection models to address impacts to human stakeholders living in or near river delta environments. See Floods and Drainage Methods
Current infrastructure lacks the capacity to adequately handle drainage and store floodwaters as well as providing habitat value
Methods and Issues
Flooding relief and improved drainage are two of the many socioeconomic benefits that river delta restoration projects deliver as valued ecosystem services to river delta communities. Removing levees and levee setbacks reduce inundation periods, increase channel-flow conveyance and increase floodplain capacity as well as improving drainage of properties in the vicinity of river deltas. From a flood-management perspective, there are three ways a project may reduce flooding vulnerability in the community: reducing inundation periods, increasing channel-flow conveyance and increasing floodplain capacity. These benefits are dependent on site specific vulnerabilities related to sea level rise and other climate change impacts so sea level modeling, in addition to hydrodynamic modeling, is often associated with predicting and measuring changes in flood storage and drainage. Monitoring questions relate to a project’s ability to improve the site’s capacity to moderate storm-related flooding and the potential for improved resilience to climate change (Brophy and Van de Wetering 2011).
