H101
Surface Water Quality Risk Assessment under Climate Change Uncertainty

Session ID#: 160479

Session Description:
Climate change is increasing temperature, changing precipitation patterns, and increasing the frequency and intensity of extreme events. Heavy precipitation can mobilize contaminants stored on the floodplain, overwhelm containment and treatment works, and increase flushing of nutrients into waterways. Droughts lower water levels, concentrate contaminants, stress crops, stagnate flows, and decrease river re-oxygenation. The combination of warming and changes to precipitation patterns can exacerbate detrimental water quality outcomes including harmful algal blooms (HABs), hypoxia, among others. Given the link between climate extremes and water quality, an understanding of climate change implications for water quality is critical for the future of water quality management. This session convenes presentations on surface water quality modeling, and the evaluation of risks of surface water contamination at least partly due to shifting precipitation, temperature, or other atmospheric conditions under climate change.
Index Terms:

1630 Impacts of global change [GLOBAL CHANGE]
1871 Surface water quality [HYDROLOGY]
4328 Risk [NATURAL HAZARDS]
6309 Decision making under uncertainty [POLICY SCIENCES & PUBLIC ISSUES]


Primary Convener:  Patrick A Ray, University of Cincinnati Main Campus, Cincinnati, OH, United States
Conveners:  Todd Steissberg, U.S. Army Corps of Engineers Environmental Laboratory, Davis, United States, Darren L Ficklin, Indiana University Bloomington, Bloomington, IN, United States and Anna Michalak, Carnegie Institution for Science, Department of Global Ecology, Stanford, United States
 
Predicting Harmful Algal Blooms in the changing climate: dealing with ecological and climatic uncertainty (Invited) (1059529)
Elena Litchman, Carnegie Institution for Science Stanford, Department of Global Ecology, Stanford, CA, United States
 
Machine Learning for River Water Quality Prediction and Detecting Uncertainties with Changing Climate (1076192)
Saiful Haque Rahat, Geosyntec Consultants, Cincinnati, OH, UNITED STATES, Todd Steissberg, USACE-ERDC, Environmental Laboratory, Davis, CA, United States, Won Chang, University of Cincinnati, Department of Mathematical Sciences, Cincinnati, United States, Xi Chen, University of Cincinnati Main Campus, Cincinnati, OH, United States, Garima Mandavya, University of Cincinnati, Environmental Engineering, Cincinnati, OH, United States, Asphota Wasti, University of Cincinnati Main Campus, Department of Environmental and Chemical Engineering, Cincinnati, OH, United States, Jacob Tracy, University of Cincinnati, Environmental Engineering, Cincinnati, United States, MD Abul Ehsan Bhuiyan, NOAA/NWS/NCEP, Climate Prediction Center, College Park, MD, United States and Patrick A Ray, University of Cincinnati, Cincinnati, United States
 
Using remote sensing technology for a harmful algal blooms monitoring in a changing world: state-of-the-art and perspectives (1092079)
Igor Ogashawara, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany
 
Water Temperature Module development in the Gridded Surface Subsurface Hydrologic Analysis (GSSHA) Model (1092608)
Billy E. Johnson, LimnoTech, Ann Arbor, MI, United States, Todd Steissberg, U.S. Army Corps of Engineers Environmental Laboratory, Davis, United States, Charles Downer, Engineer Research and Development Center, Vicksburg, United States, Nawa Raj Pradhan, Engineer Research and Development Center, Vicksburg, MS, United States, Aaron Byrd, Engineer Research and Development Center Vicksburg, Vicksburg, MS, United States and Zhonglong Zhang, Portland State University, Portland, OR, United States
 
Nitrogen Memoryscapes: Decoupling of Nitrogen Inputs and Riverine Export across the Continental United States (1187934)
Danyka K Byrnes, University of Waterloo, Civil and Environmental Engineering, Waterloo, ON, Canada, Kimberly J Van Meter, The Pennsylvania State University, Department of Geography, State College, PA, United States and Nandita B Basu, University of Waterloo, Department of Civil and Environmental Engineering, Waterloo, ON, Canada
 
Reservoir Water Quality in the Face of Extreme Watershed Change, From Observations to Models (1198645)
Jodi L. Ryder1, Kathleen E. Inman2, Stephen Brown3, Kyle S Cannon4, Lauren L Melendez4 and Emily J. Summers5, (1)US Army Corps of Engineers, Engineer Research and Development Center, Environmental Laboratory, Vicksburg, MS, United States, (2)Engineer Research and Development Center, Environmental Laboratory, Vicksburg, MS, United States, (3)US Army Corps of Engineers, Vicksburg, MS, United States, (4)USACE-ERDC, Vicksburg, United States, (5)Texas A&M University at Galveston, Marine and Coastal and Environmental Science, Galveston, TX, United States
See more of: Hydrology