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Consultancy Services for the Preparation of the Castries Urban Stormwater Management Plan

Ministry of Finance, Economic Development and Youth Economy

REQUEST FOR EXPRESSIONS OF INTEREST SAINT LUCIA Assignment Title: Consultancy Services for the Preparation of the Castries Urban Stormwater Management Plan Reference No .: SLU-SURFIN-STMWTR-QCBS-26 The Saint Lucia Urban Resilient Flood Investment Project (SURF-IN) is financing flood mitigation investments in Castries and Anse La Raye. The Pre-Feasibility Study undertaken by HR Wallingford has revealed a critical data gap: the absence of stormwater drainage maps and detailed operation and maintenance plans for Castries. Responsibilities for drainage infrastructure remain unclear between the Castries City Council (CCC) and the Ministry of Infrastructure, Ports Services, Energy (MIPSE). Preliminary hazard modelling has demonstrated correlations between poor maintenance regimes and flood risk, underscoring the need for improved drain de-siltation and solid waste removal. The establishment of an Urban Stormwater Management Plan will improve maintenance procedures, strengthen inter-agency coordination, enhance budgetary processes, and guide investment prioritization. Castries has separate storm water and sanitary waste drainage systems. The proposed Plan must take adequate account of future climate scenarios as well as current conditions to ensure investments perform effectively throughout their design life. The Task and Deliverables proposed for this assignment pertain only to the storm water management system. The consulting firm will work under the direction of the Ministry of Economic Development and Youth Economy to: Develop a comprehensive GIS-based drainage asset inventory and management database for the Castries urban area Establish clear delineation of maintenance responsibilities between CCC and the MIPSE Assess current drainage network condition and identify accumulated deferred maintenance requirements Develop an optimized maintenance management plan with realistic resource requirements Recommend structural improvements and equipment needs to enhance maintenan

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