Team Member Candid Photo

Gary Conley brings more than 20 years of experience in the field, specializing in watershed modeling, water quality compliance, climate-resilient planning, and the development of spatial decision support tools. His solutions are relied upon by communities throughout California and across the United States to quantify progress, prioritize action, and reduce the cost of regulatory reporting. At Balance, Gary leads efforts to identify pollutant sources and trends, modernize hydrologic data acquisition and analysis, and ensure compliance with water quality permit requirements. He has deep knowledge of water quality monitoring design, hydrologic and pollutant modeling, geospatial and time series analysis, database development, and statistical programming. Gary has worked extensively on National Pollutant Discharge Elimination System (NPDES) and total maximum daily load (TMDL) compliance issues throughout California and has led several regional and watershed-scale planning efforts. He has a passion for putting innovative technologies to work to make the most of environmental data for better management decisions. Gary publishes widely, on topics ranging from stormwater modeling to machine-learning-based trash risk assessment. When away from his desk, you will likely find Gary sliding on a wave, ripping down a hill on bike, or backpacking in the mountains.

  • M.S. Geography/Hydrology, California State University, San Diego, 2005
  • B.S. Earth Science, University of California, Santa Cruz, 1998
  • Green Stormwater Infrastructure Reasonable Assurance Analysis, Solano County Permittees, Solano County, CA
  • Modeling the National Stormwater Opportunity, The Pacific Institute, Oakland, CA
  • Watershed Planning and Stormwater Progress Tracking System, Upper Los Angeles River Watershed Group, CA
  • Nodine, T.G., Conley, G., Riihimaki, C.A., Holland, C. and Beck, N.G., 2024. Modeling the impact of future rainfall changes on the effectiveness of urban stormwater control measures. Nature Scientific Reports, 14(1), p.4082.
  • Conley, G., McDonald, R.I., Nodine, T., Chapman, T., Holland, C., Hawkins, C. and Beck, N., 2022. Assessing the influence of urban greenness and green stormwater infrastructure on hydrology from satellite remote sensing. Science of The Total Environment, 817, p.152723.
  • Conley, G., Zinn, S.C., Hanson, T., McDonald, K., Beck, N. and Wen, H., 2022. Using a deep learning model to quantify trash accumulation for cleaner urban stormwater. Computers, Environment and Urban Systems, 93, p.101752.

Bringing together the tools of science and technology to improve our understanding of how watersheds work is a wonderful way to spend time.

A long dusty trail ahead, sunny skies above, and a wave to ride at the end.

We all depend on clean water and healthy ecosystems. If we don’t face our most pressing environmental issues by crafting practical solutions that build resiliency, the problems can only grow larger for the generation to come.