Adaptive Management of Municipal Street Sweeping and Catch Basin Cleaning Operations in the Digital Age
Faced with meeting sediment removal goals outlined by Water Quality Improvement Plans (WQIPs), the City of San Diego developed an Optimized Implementation Plan (OIP) for the City's Catch Basin Cleaning and Street Sweeping programs. This adaptive management plan blended mobile GIS technology with holistic prioritization strategies to achieve cost savings, increased crew productivity, and improved water quality city-wide. Historic sediment removal trends and parallels between the two programs were identified and used to develop prioritization strategies. Mobile GIS technology streamlined cleanings and allowed management to assign work based on the developed prioritization strategies. After one year of implementation, the implementation plan resulted in an 82% increase in the volume of sediment removed and a reduction of 9,090 cleanings needed to meet WQIP goals. The plan will continue to evolve due to the implemented GIS data management and visualization tools. Additional long-term sediment deposition trends and optimization opportunities will become apparent, cementing program sustainability and effectiveness.
The purpose of this presentation is to provide the audience with these three takeaways: (1) how to integrate a mobile platform and GIS-based applications to streamline field operations, (2) how to identify trends in historical and spatial data to optimize pollutant removal efforts, and (3) how to utilize historical and spatial data to develop adaptive asset management strategies. This presentation intends to emphasize the value of historic spatial data and opportunities present with adaptive management strategies. The speakers will encourage and challenge participants through live audience polls to consider and apply these ideas and concepts to their stormwater solutions. Animated videos will succinctly illustrate the case study’s problem statement and solution while actively engaging the audience.