US Army Corps of Engineers
Jacksonville District Website

Miami Bay Back Feasibility Study (I)

May 2020

FACT SHEET

Miami-Dade Back Bay Coastal Storm Risk Management Feasibility Study, FL
Investigations (I)
Congressional Districts: 23, 24, 25, 26, 27

1. DESCRIPTION

The study authority for the Miami-Dade Back Bay Coastal Storm Risk Management Feasibility Study is Public Law 84-71, June 15, 1955 which authorizes an examination and survey of the coastal and tidal areas of the eastern and southern United States, with particular reference to areas where severe damages have occurred from hurricane winds and tides. The purpose of the project is to reduce potential damages caused by coastal storms and improve human safety and coastal resiliency in the Miami-Dade County Back Bay. The Tentatively Selected Plan (TSP) includes a combination of structural (such as surge barriers and floodwalls), nonstructural (such as flood proofing, relocation and elevation of structures) and natural and nature based features (such as mangrove plantings).

2. FUNDING

Project is funded under P.L. 115-123: Bi-Partisan Budget Act of 2018, Supplemental. Project is brokered to Norfolk District (NAO). NAO manages the project to include the funding and financial data.

3. SPONSOR

Miami Dade County
701 NW 1st Court
Miami, FL 33136

4. STATUS

The study started its official three year timeline in October 2018 and will conclude with a Chief’s report in September 2021. The team has worked closely with Miami-Dade County officials and Resiliency teams in gathering existing data, mapping out potential alternatives and examining future scenarios for the region.  A successful TSP meeting was held on 17 January 2020, resulting in an approval of the TSP identified by the Norfolk District. The District is currently working on the District Quality Control (DQC) of the draft report and plans to release the draft report for public review on 22 May 2020. The Agency Decision Milestone (ADM) is currently scheduled for 15 October 2020, and the team will continue to work on optimization of the TSP until the ADM. 

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