Predictions and drivers of sub-reach-scale annual streamflow permanence for the upper Missouri River basin: 1989–2018

• Published in: Journal of hydrology: X Vol. 17; p. 100138
• Main Authors: Sando, Roy, Jaeger, Kristin L., Farmer, William H., Barnhart, Theodore B., McShane, Ryan R., Welborn, Toby L., Kaiser, Kendra E., Hafen, Konrad C., Blasch, Kyle, York, Benjamin, Shallcross, Alden
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.12.2022; Elsevier
• Subjects: Climate change; Intermittent; Non-perennial; Perennial; PROSPER; Random forest; Streamflow observations; Streamflow permanence; Climate change; Non-perennial; Intermittent; Perennial; Streamflow permanence; PROSPER; Random forest; Streamflow observations
• ISSN: 2589-9155; 2589-9155
• DOI: 10.1016/j.hydroa.2022.100138

•Annual probabilities of year-round flow are predicted with 81% accuracy.•Drainage area, wetlands, and developed area are key drivers of streamflow permanence.•Predicted perennial stream length changed by up to 73% between wet and dry years. The presence of year-round surface water in streams (i.e., streamflow permanence) is an important factor for identifying aquatic habitat availability, determining the regulatory status of streams, managing land use change, allocating water resources, and designing scientific studies. However, accurate, high resolution, and dynamic prediction of streamflow permanence that accounts for year-to-year variability at a regional extent is a major gap in modeling capability. Herein, we expand and adapt the U.S. Geological Survey (USGS) PRObability of Streamflow PERmanence (PROSPER) model from its original implementation in the Pacific Northwest (PROSPERPNW) to the upper Missouri River basin (PROSPERUM), a geographical region that includes mountain and prairie ecosystems of the northern United States. PROSPERUM is an empirical model used to estimate the probability that a stream channel has year-round flow in response to climatic conditions (monthly and annual) and static physiographic predictor variables of the upstream basin. The structure and approach of PROSPERUM are generally consistent with the PROSPERPNW model but include improved spatial resolution (10 m) and a longer modeling period. Average model accuracy was 81 %. Drainage area, upstream proportion as wetlands, and upstream proportion as developed land cover were the most important predictor variables. The PROSPERUM model identifies decreases in streamflow permanence during climatically drier years, although there is variability in the magnitude across basins highlighting geographically varying sensitivity to drought. Variability in the response of perennial streams to drought conditions among basins in the study area was also observed.