Award Abstract # 2117393
Collaborative Research: Sustainability in the Food-Energy-Water nexus; integrated hydrologic modeling of tradeoffs between food and hydropower in large scale Chinese and US basins

NSF Org: EAR
Division Of Earth Sciences
Recipient: THE TRUSTEES OF PRINCETON UNIVERSITY
Initial Amendment Date: February 5, 2021
Latest Amendment Date: June 12, 2023
Award Number: 2117393
Award Instrument: Standard Grant
Program Manager: Laura Lautz
llautz@nsf.gov
 (703)292-7775
EAR
 Division Of Earth Sciences
GEO
 Directorate for Geosciences
Start Date: October 1, 2020
End Date: July 31, 2024 (Estimated)
Total Intended Award Amount: $243,132.00
Total Awarded Amount to Date: $174,247.00
Funds Obligated to Date: FY 2018 = $174,247.00
History of Investigator:
  • Reed Maxwell (Principal Investigator)
Recipient Sponsored Research Office: Princeton University
1 NASSAU HALL
PRINCETON
NJ  US  08544-2001
(609)258-3090
Sponsor Congressional District: 12
Primary Place of Performance: Princeton University
NJ  US  08544-2020
Primary Place of Performance
Congressional District:
12
Unique Entity Identifier (UEI): NJ1YPQXQG7U5
Parent UEI:
NSF Program(s): XC-Crosscutting Activities Pro
Primary Program Source: 01001819DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):
Program Element Code(s): 722200
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.050

ABSTRACT

Water is critical for growing food and generating power. This study deals with two globally important agricultural systems, the Heihe River Basin in China and the Central Valley of California, USA, that exemplify the complexities of large scale water-energy systems. The Heihe and the Central Valley represent billions of dollars in economic productivity and produce billions of kilowatt hours of electricity every year. While the two basins are in many ways similar (water flows from high in the mountains to nourish crops below), there are key differences in their history and management that provides many important information. This project brings together researchers from the US and China to better understand tradeoffs between water and energy supply in these complex agricultural systems. Advantage is taken of computer simulations, datasets and research from US and Chinese teams in their local basins and collaborate to advance our shared understanding of these basins. The state of the art computer simulation platforms developed and applied here are designed to capture connections between humans and natural systems not possible with previous modeling approaches. This project also seeks to educate the next generation of water users, planners and scientists on groundwater sustainability by developing K-12 education materials for both the US and China that will be piloted in real classrooms in both countries. This project will help us better understand weaknesses in managed food-water-energy systems like the Heihe and Central Valley to strengthen them moving forward.

Water connects food production, energy demand and energy production in irrigated agricultural systems. Intensively managed basins routinely have surface water irrigation, groundwater irrigation and hydropower production operating in tandem. While there have been many operational studies of large scale irrigated systems, the majority of tools applied to these problems focus on the human systems and simplify the natural hydrology. This study bridges this gap developing novel tools that can simulate FEW interactions in complex human and natural systems. In this project leverage of international advances in physically based integrated numerical modeling is accomplished by bringing together two teams of modelers from the US and China. The goal is to explore the tradeoffs between agricultural water supply, hydropower production and environmental degradation in two globally important agricultural systems: the Central Valley of California (USA) and the Heihe River basin in China. Specifically, exploring (1) how the vulnerabilities of food and energy systems differ, (2) where conflicting interests can lead to system inefficiency and environmental degradation, and (3) the advantages of applying integrated hydrologic models to these human systems. The project also seeks to educate the next generation of water users, planners and scientists on groundwater sustainability. Project outputs will be used to develop K-12 education materials for both the US and China that will be piloted in real classrooms.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Yang, Chen and Maxwell, Reed and McDonnell, Jeffrey and Yang, Xiaofan and TijerinaKreuzer, Danielle "The Role of Topography in Controlling Evapotranspiration Age" Journal of Geophysical Research: Atmospheres , v.128 , 2023 https://doi.org/10.1029/2023JD039228 Citation Details
Yang, Chen and Ponder, Carl and Wang, Bei and Tran, Hoang and Zhang, Jun and Swilley, Jackson and Condon, Laura and Maxwell, Reed "Accelerating the Lagrangian Particle Tracking in Hydrologic Modeling to ContinentalScale" Journal of Advances in Modeling Earth Systems , v.15 , 2023 https://doi.org/10.1029/2022MS003507 Citation Details

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The main objective of this project was to evaluate tradeoffs between components of the Food-Energy-Water nexus, specifically food and hydropower, using state of the art integrated hydrologic modeling tools in two globally important agricultural systems. This collaborative project provided valuable new insights on groundwater-surface water interactions, critical for water management decisions, while also assessing the sensitivities of these systems to different modeling approaches. 

The primary goal was to explore changing groundwater surface water interactions and water supplies in the Central Valley of California and the Heihe River basin in China.   Both basins are highly productive agricultural valleys that are supported primarily by snowpack.  This project was collaborative between Princeton University and the University of Arizona.  The University of Arizona team focused on the Heihe which depends on the Qilian Mountain cryosphere for its water supply. The Princeton team developed a model of the San Joaquin watershed in the Central Valley of California.  ParFlow is a powerful tool because it can simulate the groundwater and surface water systems simultaneously,  and can therefore capture changes in groundwater recharge and discharge that may occur as a system changes over time.

A coupled surface and subsurface reservoir model of the San Joaquin was developed to study the change in conjunctive use of water under drought and climate change. This model included a reservoir storage formulation and rule-based release into the ParFlow-CLM hydrologic model. It balanced groundwater pumping with reservoir releases. 

Simulations of municipal and agricultural water use in the San Joaquin watershed were conducted for normal, wet, and drought years. These simulations include both groundwater pumping for demand-based agriculture and differing reservoir water management strategies. The findings suggest that reservoir management patterns currently used in the current climate will be sub-optimal and perhaps even harmful under some drought scenarios.  

Providing modeling output and results to decision makers is a critical step in ensuring the relevancy of this work. Data extraction tools, as well as online tutorials, were developed throughout this project to ensure that results are accessible to decision makers. Additionally, project results were used to help educate the next generations of water users, planners, and scientists through the development of K-12 educational materials.


Last Modified: 02/07/2025
Modified by: Reed M Maxwell

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