WSP Water Solutions

Asset Management 

Asset Management Advisory and Capital Improvement Program Support Washington Suburban Sanitary Commission (WSSC) | Laurel, Maryland ■ Asset management support ■ Infrastructure funding and investment requirements ■ Operations and maintenance WSP has supported WSSC across asset management, capital improvement program (CIP) planning, project controls and program management. In 2018, our team reviewed WSSC’s asset management program, emphasizing data and adaptability to evolving operational conditions. We supported the Enterprise Performance Management Framework by integrating climate change considerations, modeling asset performance for investment prioritization, and developing a rating system incorporating functionality, financial efficiency and resiliency. The project team updated the CIP Prioritization Framework to enhance project scoring, integrate enterprise risk, improve GIS-based customer impact analysis, and develop metrics for lifecycle cost efficiency and regulatory compliance. Alongside core wastewater projects, we prioritized support services. Additionally, we delivered over 51 task orders, including staff augmentation, Primavera P6 master scheduling, project management manual development, and design/ construction services for Fort Washington Estates and Olney Tank. We also trained project managers in best practices and scheduling.

Consent Decree Program Management Services and Asset Management Implementation City of Baltimore Department of Public Works | Baltimore, Maryland ■ Improvement of wastewater infrastructure ■ Established the city’s Office of Asset Management ■ Optimization of Captial Improvement Program schedules As program manager for Baltimore County’s $1-billion wastewater Consent Decree program, WSP implemented asset management practices to support long-term infrastructure planning and compliance. Our team developed an asset management framework for sewer systems—including gravity sewers, force mains, pump stations and low-pressure networks—using data from Cityworks CMMS, GIS, InfoWorks Integrated Catchment Modeling and CCTV assessments. Risk models incorporated likelihood of failure and triple bottom line based consequence criteria to guide planning. We applied this framework to metallic water distribution pipes (about 16-inch diameter) to predict break locations and optimize maintenance. The infraPLAN platform cleaned break data and forecasted future failures. Our team evaluated predictive decision support system (DSS) tools for estimating service life and prioritizing resources. A risk scoring system ranked assets and guided investments. WSP also created interactive dashboards, tailored stakeholder reports, and developed standard operating procedures (SOPs) for proactive sewer cleaning.

Lead and Copper Rule Revision Technical Assistance Program Project Colorado Department of Public Health and Environment (CDPHE) | Denver, Colorado ■ Service line inventories and replacement plans for 300+ water systems ■ Creation of workflows and visualization systems ■ Technical training and public outreach The CDPHE required assistance in programmatic oversight to help approximately 300 small water systems comply with Lead and Copper Rule Revisions. Many of these systems lacked the capacity to meet requirements, particularly around service line inventories and replacement planning. To address this, WSP developed innovative workflows, data visualization tools and streamlined processes to simplify compliance for systems serving populations under 15,000. We supported asset management by helping systems identify and plan for replacing lead or unknown service line materials. Where verification was not possible, WSP conducted field investigations such as potholing. To enhance coordination, we implemented real-time data tools and procedures. Public outreach was key, with WSP creating tailored communication materials including surveys, door hangers, and social media content to promote transparency and engagement. Additionally, WSP developed SOPs for proactive sewer cleaning and evaluated DSS tools to support predictive analytics, risk modeling and resource prioritization.

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