Planning & Management

Oral

395255 - A Distributed, Multi-Scale, Multi-Water-Quality, Multi-Objective Water System Optimization Model for Mexico City

Wednesday, June 6
4:00 PM - 5:30 PM
Location: Northstar B

There is growing concern for the vulnerability of the Mexico City water system to shocks, and the capacity of the system to accommodate climate and demographic change. Despite efforts to extract more water from the local aquifer and the Cutzamala System, the two largest water supply sources for Mexico City, the water availability per capita in the Mexico City Metropolitan Area (MCMA) remains the lowest in the country and has decreased 15-20% in the past 15 years. With additional water unlikely to be made available from new sources of water import, all supply options will be needed to solve the current and increasing water deficit. This study investigates wastewater treatment infrastructure available for water reclamation and reuse throughout the city, as well as precipitation available for harvesting, and drainage infrastructure available for stormwater capture. Because large quantities of water are pumped up-gradient from the Cutzamala and Lerma watersheds, great energy is expended in the once-through water use paradigm. In order to identify water investment options more energy efficient, environmentally sustainable, and politically palatable than the existing paradigm, a distributed, multi-scale, multi-water-quality, multi-objective water system optimization model has been developed to quantitatively evaluate cost-benefit tradeoffs associated with investment opportunities identified by stakeholders. The model is built to be fully integrated with a basin-wide model of all water supply sources serving Mexico City (especially Lerma and Cutzamala), and include the entire anthropogenic water cycle (water supply, wastewater disposal, stormwater capture, and water reuse), so as to effectively evaluate tradeoffs between financial costs, water system reliability, resilience, ecological indicators, and socio-economic factors. Model formulation and preliminary results will be presented, and strategies for the development of water system investment portfolios increasingly responsive to the heterogeneous realities of Mexico City water system will be discussed.

Jacob Tracy

University of Cincinnati

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Patrick Ray, PhD

University of Cincinnati

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395255 - A Distributed, Multi-Scale, Multi-Water-Quality, Multi-Objective Water System Optimization Model for Mexico City



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