Modeling

I worked with a team of modelers to integrate different parts of the natural and urban water system of the Jordan River Basin. The systems model that I have helped develop allows for an integration of multiple aspects of the river basin and urban area from supplies to users to receiving waters. This allows us to study how changes in one part of the system impact another part of the system. Primarily, we are interested in climate and development impacts on receiving water quality.

References:

[1] Estimated Use of Water in the United States in 2010. USGS Circular 1405, 2014.[2] State of Utah Municipal and Industrial Water Supply and Use Study Summary 2010. Utah Division of Water Resources. 2014. [3] How we Use Water. EPA. https://www.epa.gov/watersense/how-we-use-water [4] Vicente-Serrano S.M., Santiago Beguería, Juan I. López-Moreno. “A Multi-scalar drought index sensitive to global warming: The Standardized Precipitation Evapotranspiration Index – SPEI”. Journal of Climate. 2010 23: 1696-1718.[5] Abatzoglou J.T. and Brown T.J. "A comparison of statistical downscaling methods suited for wildfire applications " International Journal of Climatology. 2012. [6] Taylor, K.E., R.J. Stouffer, G.A. Meehl: An Overview of CMIP5 and the experiment design. MS-D-11-00094.1, 2012.[7] GoldSim Technology Group[8] Development and land use data provided by Wasatch Front Regional Council, based on REMM model for the urban areas of Salt Lake and Utah Counties. Related public data are available at https://data.wfrc.org [9] 25% reduction in residential use is based on goals established by the Utah Division of Water Resources in 2001. See https://water.utah.gov/wp-content/uploads/2019/01/MIConservation_Revision_2012.pdf

In one study, I explored how different methods of statistical downscaling of climate data would impact the results of stormwater runoff models.