397403 - Evaluating the impact of climate change on the effectiveness of Rainwater Harvesting Systems across the U.S.
Wednesday, June 6
8:30 AM - 10:00 AM
Location: Mirage Room
David Sample, Hampton Roads Agricultural Research and Extension Center, Virginia Beach, VA – Virginia Polytechnic and State University; Jia Liu, Washington, D.C – Charles P. Johnson & Associates, Inc; Andrew Ross, University Park, PA – Pennsylvania State University
Assessing the impacts of Climate change (CC) on stormwater control measures (SCMs) such as Rainwater Harvesting (RWH) is an active area of research. In this study, the impacts of CC on the performance of RWH systems for hypothetical sites located across the U.S. was evaluated with respect to the reliability of water supply and runoff capture. Recent Regional Climate Models (RCMs) from the North American regional CC Assessment Program (NARCCAP) were used to generate precipitation time series, with statistical downscaling and bias correction; 1971- 1998 and 2041-2068 were used for historical and projected conditions, respectively. The evaluation of RWH systems was facilitated through the Rainwater Analysis and Simulation Program (RASP), a MATLAB®-based model. The results indicate the changes in precipitation and dry duration. Simulation results revealed that RWH systems located in eastern, northwestern, and southeastern portions of the U.S. exhibited an increase in water supply reliability and a decrease in runoff capture reliability; RWH systems in western, southern, and central U.S. showed a decrease in water supply reliability and an increase in runoff capture reliability. The largest change in water supply reliability would occur in Los Angles (-17.9%) and Miami (+22%), respectively. The largest change in runoff capture reliability would occur in Chicago (-12.4%) and Los Angeles (+12.3%), respectively. The results of this study can be used to determine whether RWH is the best SCM for use in a particular area; and they can also help size the RWH systems so they may function well during anticipated CC conditions.