FY20 Integrated Flood Model

The District of Columbia is seeking a comprehensive FY20 Integrated Flood Model procurement, which appears to be a technical project focused on developing advanced flood modeling capabilities. The contract opportunity, identified by the unique State Local Contract Opportunity ID 66c856fe829eb5d86906fec8, was originally posted on September 28, 2020, with a proposal submission deadline of November 24, 2020. While specific technical details are limited in the provided excerpt, the procurement suggests a complex geographic information systems (GIS) or environmental engineering project designed to enhance flood risk assessment and management strategies for the District. Potential vendors would likely need advanced technical expertise in hydrological modeling, geospatial analysis, climate risk assessment, and data integration. The procurement seems to require sophisticated computational and predictive modeling capabilities to generate comprehensive flood scenario analyses. Respondents should anticipate providing detailed technical proposals demonstrating their capability to develop a robust, data-driven flood modeling framework.

Given the limited information provided, it is unclear whether specific set-aside designations or vendor restrictions are associated with this procurement. The contract likely requires specialized technical capabilities, which may inherently limit the pool of qualified respondents to firms with demonstrated expertise in environmental engineering, hydrology, and advanced computational modeling. Potential vendors would need substantial technical infrastructure, including advanced geospatial modeling software, high-performance computing resources, and access to comprehensive environmental and topographical datasets. While the exact budget range is not specified, flood modeling projects of this complexity typically represent significant investments, potentially ranging from $250,000 to $1.5 million depending on the scope and depth of required analyses. Respondents should be prepared to demonstrate not only technical competence but also the ability to integrate complex data sources and provide actionable insights for municipal flood risk management.