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X-ORIGINAL-URL:https://texascecon.org/
X-WR-CALNAME:CECON 2026
X-WR-CALDESC:Revitalizing Resiliency
X-WR-TIMEZONE:America/Chicago
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DTSTART:20260308T030000
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DTSTART:20261101T010000
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DTSTART;TZID=America/Chicago:20260917T143000
DTEND;TZID=America/Chicago:20260917T153000
DTSTAMP:20260622T151107Z
CREATED:20260622
LAST-MODIFIED:20260709
PRIORITY:5
SEQUENCE:2
TRANSP:OPAQUE
SUMMARY:Revitalizing Water Infrastructure Resiliency: Balancing Capital Decision Stability and Operational Prediction Accuracy: A Case Study on the Hydraulic Impact Factor (HIF) Framework in Sugar Land, Texas
DESCRIPTION:Municipal utilities worldwide share a critical responsibility: managing aging infrastructure and strengthening the stewardship of the built environment under tight budget constraints. Traditionally, capital planning relies on static parameters like pipe age, while operations crews use hydraulic modeling to analyze system performance. Operating these two domains in isolation creates an industry-wide conflict between reactive, short-term repairs and long-term capital investments.  This presentation moves beyond academic theory to deliver an actionable, practitioner-tested framework based on real-world implementation in Sugar Land, Texas. Attendees will discover the Hydraulic Informed Asset Management framework and the Hydraulic Impact Factor (HIF), a transparent tool that integrates pressure, velocity, headloss, and water age into existing asset management systems to reveal hidden operational risks. In its initial application, this framework fundamentally reshuffled 78% of the city’s top 50 prioritized water mains, advancing hydraulically stressed assets into earlier capital plan years without destabilizing the broader portfolio.  Going a step further to bridge the capital-versus-operations divide, this session addresses a fundamental engineering dilemma: does changing the capital queue actually help predict physical infrastructure failures? We pit long-term capital decision stability against short-term operational machine learning prediction frameworks to evaluate the true trade-offs of data readiness.  Participants will walk away with a definitive blueprint for utilizing existing calibrated hydraulic models to safeguard decision quality, optimize limited public resources, and build truly resilient municipal communities.\n
URL:https://texascecon.org/cecon/revitalizing-water-infrastructure-resiliency-balancing-capital-decision-stability-and-operational-prediction-accuracy-a-case-study-on-the-hydraulic-impact-factor-hif-framework-in-sugar-land-texas-2/
CATEGORIES:Environmental & Water Resources Institutes (TxEWRI),Sessions
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