Projects Worked On
|Addressing Nitrate in California's Drinking Water||
One in 10 people living in California’s most productive agricultural areas is at risk of exposure to harmful levels of nitrate contamination in their drinking water, according to a report released today by the University of California, Davis. The report was commissioned by the State Water Resources Control Board.
The report, “Addressing Nitrate in California’s Drinking Water,” is the first comprehensive scientific investigation of nitrate contamination in the Tulare Lake Basin, which includes Fresno and Bakersfield, and the Salinas Valley, which includes Salinas and areas near Monterey. It defines the extent of the problem, suggests promising solutions and outlines possible funding mechanisms.
California’s complex water management system often defies comprehensive analysis. We summarize the results of a decade of quantification and analysis of this system from a hydro-economic perspective using the CALVIN Model.
The general approach taken dates back to Roman times, when Frontinus (97 AD) began his oversight of Rome’s water system with a systematic inventory and quantification of its water infrastructure.
This approach has been formalized and expanded in the modern era as economists, planners, and engineers have sought to grapple with complex water management systems and problems.
In California water supply and demand is inconvenient in both space and time. Most water availability is in northern California from winter precipitation and spring snow-melt; whereas water demands are more in the south during the dry summer. Major floods and seasonal and multiyear droughts further complicate water resource management in California. The Sacramento-San Joaquin Delta is the major north-south hub for this water network.
Population growth, climate change, a vulnerable Delta, and decentralized water governance pose opportunities and challenges to water management in California. Portfolios of water management activities, including diverse general policy tools, demand management, and operations and supply expansion options, are available to manage competing demands in complex situations.
Exploring promising portfolios of actions is the main intent of the CALVIN model. The CALVIN model is an economic-engineering optimization model of California developed at the University of California – Davis. CALVIN’s major innovations are its statewide (rather than project) scale, representation of a broad range of water management options, explicit integration of broad economic objectives, and its consequent applicability to a wide variety of policy, operations, and planning problems.
|Satellite Remote Sensing and Consumptive Water Use in the Delta||
This study for the state Delta Protection Commission compared the effectiveness of using new remotely sensed measurement technology to estimate farmers' "consumptive water use," or the amount of irrigation water crops transpire and evaporate from the nearby soil.
Current methods of estimation and reporting of consumptive water use can be time-consuming and costly. The State Water Resources Control Board requires farmers to report the data for each water diversion every three years.
Remote sensing measurements using SEBAL:
We encourage Delta farmers and water districts to collaborate on using remote sensing to reduce the time and cost of estimating and reporting consumptive water use.
|Water Modeling in Agricultural Production||
NEW: ECONOMIC MODELING OF AGRICULTURAL WATER USE AND PRODUCTION WORKSHOP.
This technical workshop in collaboration with the California Water and Enviornmental Modeling Forum (CWEMF). This workshop presents various alternatives for modeling the economics of water use and water scarcity within an agricultural production setting, with a particular focus on California. This 6-hour workshop at UC Davis is intended to bring experts and interested water resources professionals from academia, industry and government agencies to talk and learn about various models and optimization tools that have been used to evaluate the economics surrounding agricultural water use in California, Australia, Chile, and México. Applications using both mathematical programming and hedonic models will be presented. A discussion about modeling needs and future applications for the California water modeling community will be encouraged.
If you attended the workshop, please respond to our survey.
Please get the following workshop materials (updated February 4, 2014):
1) Hands on examples,
2) blank Excel template, and
3) the Excel worked examples for your reference
|Drought's Economic Impact on Agriculture||
UC Davis researchers forecast the socio-economic effects of the drought on California agriculture for 2014 and beyond. Economists use computer models and the latest estimates of water deliveries, well-pumping capacities and acres fallowed. The researchers exploit new satellite remote-sensing technologies to estimate fallowed acreage as the drought unfolds.
2016 Study Downloads
Economic Analysis of the 2016 California Drought for Agriculture (California Water Blog, August 15, 2016)
Estimates of Irrigated Cropland Idled due to the 2016 California Drought: Clarifications and Supplemental Information (NEW! Memorandum, September 1, 2016)
Collaborators: Duncan MacEwan
|California Fourth Climate Change Assessment||
Economic and Environmental Implications of California Crop and Livestock Adaptations to Climate Change and Climate Policy
To more accurately estimate the threat posed by sea level rise and intense storms to coastal infrastructure, this research will provide assess coastal flood risk accounting for changing climate patterns, erosion rates, shifting beach forms, and vertical land movement. Methods will be developed to support site-specific, project level assessments of coastal vulnerabilities to sea level rise through integration of models of projected sea level rise and climate scenarios, coupled with local and regional-scale erosion rates and vertical land motion estimates.
Collaborators: Daniel A. Sumner
Under Construction. Please check back soon.