B002
Advances in Driver Attribution Studies to Support Water Quality Improvement
Advances in Driver Attribution Studies to Support Water Quality Improvement
Session ID#: 158251
Session Description:
Trends in groundwater and surface water biogeochemistry signals, including constituent (e.g. nutrients, salinity, metals) concentrations or loads or shifts in pH and oxygen status have important implications for water quality and aquatic ecosystems. Trends are controlled by a wide array of factors including geomorphological, hydrological, biogeochemical, climatic, and anthropogenic processes. This session seeks contributions that address model development and key drivers of temporal and spatial changes in water quality indicators at larger spatial scales, with an objective to advance our understanding of key mechanisms that lead to changes in water quality. Consideration of studies that address 1) anthropogenic drivers (BMPs, conservation practices, dam construction, groundwater extraction) and those less controlled by humans (climate change, groundwater/surface interactions), 2) exploration of processes, drivers, or factors, which are not measured or well-represented in typical national-scale geospatial datasets, and 3) studies that can facilitate discussion on process-based versus machine learning models are welcome.
Index Terms:
0414 Biogeochemical cycles, processes, and modeling [BIOGEOSCIENCES]
0496 Water quality [BIOGEOSCIENCES]
1831 Groundwater quality [HYDROLOGY]
1871 Surface water quality [HYDROLOGY]
Primary Convener: Sarah M Stackpoole, USGS Geological Survey, Menlo Park, CA, United States and Lin, Jiajia
Conveners: Jiajia Lin, Oak Ridge Institute for Science and Education, Oak Ridge, TN, United States, Jana Compton, U.S. Environmental Protection Agency, Pacific Ecological Systems Division, Corvallis, United States, Robert Daniel Sabo, U.S. Environmental Protection Agency, Washington, DC, United States and Lin, Jiajia
See more of: Biogeosciences
