Primary Convener:
Admin Husic, Virginia Tech

Convener:
Matthew Cohen, University of Florida
David Hannah, University of Birmingham
Erin Seybold, University of Kansas
Lorrayne Miralha, The Ohio State University
Andras Szeitz, University of British Columbia

Early Career Convener:
Admin Husic, Virginia Tech

Chair:
Admin Husic, Virginia Tech
Matthew Cohen, University of Florida
Christa Kelleher, Lafayette College
David Hannah, University of Birmingham

Water quality science operates at the intersection of physical, biological, and chemical processes occurring over diverse spatial and temporal scales and intersects with water management and governance. Growing uncertainties related to anthropogenic climate change and evolving land-use practices have accelerated the development and testing of innovative hypotheses, observational techniques, and predictive models. These advancements have propelled water quality research into new frontiers across field, laboratory, and computational studies, often bridging these traditionally distinct domains. They have also fostered critical connections between science and policy. This session aims to showcase cutting-edge research that elucidates the variability and dynamics of water quality through space and time. We invite abstracts addressing multi-scale challenges—from local site studies to global assessments—and temporal analyses ranging from instantaneous fluctuations to long-term trends. Contributions highlighting the application of process-based modeling, machine learning, or integrated hybrid approaches to uncover water quality drivers are particularly encouraged.

Index Terms
1834 Human impacts
1871 Surface water quality
1894 Instruments and techniques: modeling
1895 Instruments and techniques: monitoring

Co-Sponsored Sessions:
ESA： Ecological Society of America
CGU： Canadian Geophysical Union
EGU： European Geosciences Union

Cross-Listed:
B - Biogeosciences
GC - Global Environmental Change

Neighborhoods:
3. Earth Covering