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11H Consent
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11H Consent
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3/21/2024 5:52:25 PM
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5/31/2023 12:02:12 PM
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CM City Clerk-City Council
CM City Clerk-City Council - Document Type
Staff Report
Document Date (6)
5/15/2023
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<br />Consulting Services Agreement between City of San Leandro and Last revised 04/17/2023 <br />Terraphase Engineering for Sea Level Rise Master Plan Exhibit A – Page 2 of 13 <br />order to identify existing conditions and will prepare a set of base maps of the vulnerable assets <br />identified in the 2021 San Leandro Climate Action Plan, including vulnerable and disadvantaged <br />communities, critical infrastructure, critical community and emergency facilities, natural and cultural <br />resources, planned levee adaptation projects, and industrial facilities that could potentially release <br />chemicals if flooded. <br /> <br />The Terraphase Team will perform an exposure analysis for these vulnerable assets by mapping and <br />quantifying flooding due to the combined effects of surface water inundation and groundwater rise for <br />multiple SLR projections. SLR projections under the high risk-aversion scenario as presented in the <br />2018 Ocean Protection Council (OPC) guidance (OPC 2018) are approximately 24 inches (2 feet) by year <br />2050, and up to approximately 84 inches (7 feet) by year 2100 in the Bay Area. These projections <br />provide the lower and upper bounds for evaluation of flooding impacts. <br /> <br />Several online tools and downloadable georeferenced databases that evaluate surface water <br />inundation and/or groundwater rise in the Bay Area are available for use in this evaluation. Terraphase <br />has conducted thorough reviews of the published reports and databases associated with each of these <br />tools and has used them at multiple sites along the California coast, including at the Tony Lema Landfill <br />in support of the long-term flood protection plan. Terraphase will evaluate the combined effects of <br />surface water inundation and groundwater rise using the following datasets: <br /> <br />• Pathways Climate Institute LLC (Pathways) and the San Francisco Estuary Institute (SFEI) Shallow <br />Groundwater Response to Sea-Level Rise study: Pathways and SFEI gathered and analyzed <br />multiple data sets and collaborated with city and county partners to analyze and map the existing <br />“highest annual” shallow groundwater table and its likely response to future SLR. Available data <br />from this study include modeled depth to groundwater relative to a digital elevation model (DEM) of <br />Bay Area topography under current conditions and future SLR scenarios from 12 to 108 inches. <br />Terraphase is currently using these data to evaluate SLR vulnerabilities at the Tony Lema Landfill. <br />Terraphase has also obtained the modified DEM used in this study to ensure that the current and <br />future mapped scenarios of SLR are correctly superimposed onto key topographic features such as <br />levees and other shoreline flood protection features. <br />• Bay Conservation and Development Commission (BCDC) Adapting to Rising Tides (ART) study: <br />Available data from this study include raster data of the depth of land flooding due to SLR <br />scenarios of 12 to 108 inches superimposed on current mean higher-high water (MHHW), <br />shoreline overtopping depth, and identification of disconnected low-lying areas. Terraphase will <br />overlay these datasets with the Pathways/SFEI datasets. <br />• United States Geologic Survey Coastal Storm Modeling System (USGS CoSMoS): This modeling <br />system includes results of surface water inundation and groundwater rise for multiple SLR <br />scenarios, and accounts for the influence on rising groundwater levels due to topography. This <br />model system is important to use in the assessment because these raster datasets include <br />not only surface water flooding for various SLR scenarios and storm frequencies (annual, <br />20-year and 100-year), but also include results of flood duration and wave height, both of <br />which impact vulnerability and adaptive capacity. <br /> <br />These datasets will be compiled and evaluated to develop flood maps for each SLR scenario (from 24 to <br />84 inches [2 to 7 feet]). The maps will quantify the magnitude of flooding due to the combined impact <br />of surface water inundation and groundwater rise and will be overlaid with the existing asset
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