Technical Papers
May 28, 2018

Water Resources Criticality Due to Future Climate Change and Population Growth: Case of River Basins in Utah, USA

Publication: Journal of Water Resources Planning and Management
Volume 144, Issue 8

Abstract

This study investigates annual river basin–level water criticality (ratio of available water to withdrawals) considering effects of climate change on supply and of future population change on demand. A steady-state water balance model was developed to estimate the water mass budget and disaggregate the internal and external water supply sources at a river basin level. Future precipitation and evapotranspiration were dynamically downscaled under a moderate greenhouse gas emission scenario to 4-km horizontal resolution using a regional climate model for a decade centered on 2090. The climate data were also statistically downscaled via the bias correction spatial disaggregation (BCSD) method applied to the CMIP5 (the fifth phase of the Coupled Model Intercomparison Project) archives for four emission scenarios for decades centered on 2040 and 2090. Bootstrapping and k-nearest-neighbor (k-NN) algorithms were applied to simulate future water demand and external basin supply with uncertainty. Water stress is classified into four levels: (i) “very high-water stress” when the water criticality ratio <1.25, (ii) “high water stress” when criticality ranges from 1.25 to 2.5, (iii) “moderate water stress” when criticality ranges from 2.5 to 10, and (iii) “no water stress” when criticality >10. A basin with a criticality ratio of 1 indicates that the basin demand has been exactly met by the available supply sources. Most river basins have current water criticality less than 2 and are dependent on inflow from other basins (i.e., are not self sustaining). Future projections indicate modest increases in net available water for Utah through the end of the current century from climate change, with increasing vulnerability largely driven by population growth. Out of 11 basins, 4 achieve a high and 3 achieve a very high water stress status by the 2040s. Four basins achieve a very high water stress status by the 2090s compared to only two in a very high water stress status in the 2010s.

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Acknowledgments

This work was supported by the National Science Foundation cooperative agreement EPSCoR IIA-1208732. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. We would like to acknowledge high-performance computing support from Yellowstone (Award No. UUSL006) provided by NCAR’s Computational and Information Systems Laboratory, sponsored by the National Science Foundation, as well as from the University of Utah Center for High Performance Computing (CHPC).

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Journal of Water Resources Planning and Management
Volume 144Issue 8August 2018

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Received: Nov 18, 2016
Accepted: Feb 6, 2018
Published online: May 28, 2018
Published in print: Aug 1, 2018
Discussion open until: Oct 28, 2018

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Krishna B. Khatri, Ph.D., A.M.ASCE [email protected]
Research Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Utah, Salt Lake City, UT 84112 (corresponding author). Email: [email protected]
Courtenay Strong, Ph.D.
Associate Professor, Dept. of Atmospheric Sciences, Univ. of Utah, Salt Lake City, UT 84112.
Adam K. Kochanski, Ph.D.
Research Assistant Professor, Dept. of Atmospheric Sciences, Univ. of Utah, Salt Lake City, UT 84112.
Steven Burian, Ph.D., M.ASCE
P.E.
Professor, Dept. of Civil and Environmental Engineering, Univ. of Utah, Salt Lake City, UT 84112.
Craig Miller
P.E.
Engineer Specialist IV, Utah Dept. of Natural Resources, Utah Division of Water Resources, Salt Lake City, UT 84116.
Candice Hasenyager
P.E.
Engineering Manager, Utah Dept. of Natural Resources, Utah Division of Water Resources, Salt Lake City, UT 84116.

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