Read the paper at doi.org/10.1029/2024...

#waterutility #waterdistribution #waterquality #loadshifting @stanforddoerr.bsky.social

💧 Costs, emissions, and water age are reduced for complex water distribution systems using a unified multi-objective optimization framework
💡Increased water storage utilization allows for reductions in electricity costs and emissions but with tradeoffs in water quality

🍇 Increasing four crops to peak Crop Water Productivity efficiency could meet up to 36% of the estimated annual groundwater overdraft in San Joaquin Valley.
🎯 Targeting investments to the least efficient fields identified via satellite data could amplify the potential water savings of state grants.

Corisa uses public satellite data to estimate potential water savings, which can be used to inform targeted interventions by irrigation district managers and efficient allocation of state incentives for improved crop water management.

We use FDA to estimate planting dates in the U.S. corn belt - reducing prediction error by 20% and improving curve-fitting vs univariate inputs. We relate FDA coefficients to physical mechanisms indicative of planting time (vegetation density, land surface temp, soil moisture) (2/2)

We seek 1-2 Postdocs to conduct:
💡 Fundamental/translational research optimizing advanced #water treatment processes to reduce costs and emissions
💧 Applied research to develop, test, and implement optimized control or design strategies for water systems
postdocs.stanford.edu/prospective/...
(3/3)

We seek a Postdoc with experience in optimization to:
- co-develop a hybrid ML/process-based #anaerobicdigestion model
- perform techno-economic and lifecycle analysis of biogas microgrids 📊
postdocs.stanford.edu/prospective/...
(2/3)