1. Modeling Seasonal Effects of River Flow on Water Temperatures in an Agriculturally Dominated California River.
- Author
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Asarian, J. Eli, Robinson, Crystal, and Genzoli, Laurel
- Subjects
WATER temperature ,STREAMFLOW ,INSTREAM flow ,DROUGHTS ,THERMAL stresses ,ATMOSPHERIC temperature ,AIR flow - Abstract
Low streamflows can increase vulnerability to warming, impacting coldwater fish. Water managers need tools to quantify these impacts and predict future water temperatures. Contrary to most statistical models' assumptions, many seasonally changing factors (e.g., water sources and solar radiation) cause relationships between flow and water temperature to vary throughout the year. Using 21 yr of air temperature and flow data, we modeled daily water temperatures in California's snowmelt‐driven Scott River where agricultural diversions consume most summer surface flows. We used generalized additive models to test time‐varying and nonlinear effects of flow on water temperatures. Models that represented seasonally varying flow effects with intermediate complexity outperformed simpler models assuming constant relationships between water temperature and flow. Cross‐validation error of the selected model was ≤1.2°C. Flow variation had stronger effects on water temperatures in April–July than in other months. We applied the model to predict effects of instream flow scenarios proposed by regulatory agencies. Relative to historic conditions, the higher instream flow scenario would reduce annual maximum temperature from 25.2° to 24.1°C, reduce annual exceedances of 22°C (a cumulative thermal stress metric) from 106 to 51 degree‐days, and delay onset of water temperatures >22°C during some drought years. Testing the same modeling approach at nine additional sites showed similar accuracy and flow effects. These methods can be applied to streams with long‐term flow and water temperature records to fill data gaps, identify periods of flow influence, and predict temperatures under flow management scenarios. Plain Language Summary: Warm water temperatures threaten culturally and economically important salmon in Pacific Northwest Rivers, causing chronic stress and direct mortality. Climate change and agricultural water use have reduced summer river flows in recent decades, intensifying water scarcity. Years with deep mountain snowpack and resulting high groundwater levels extend the high flow season and keep water temperatures cool through the end of July, whereas in drought years the river warms sooner. We used 21 yr of river flow and air temperature data from the Scott River, California, to create computer models that simulate water temperatures. Our models allow the effect of flow on water temperatures to vary by season (i.e., stronger cooling effects in spring and summer), improving accuracy of the simulated temperatures. We used the Scott River model to simulate water temperatures under two alternative flow scenarios considered in local water management plans. Our simulations indicate that relative to current conditions, the higher flow scenario would lower the summers' highest temperatures and decrease the number of days that river temperatures exceed a biological threshold. Testing the same modeling approach at nine additional Klamath Basin sites showed similar accuracy and flow effects. Our model is freely available for public use. Key Points: In this snowmelt and groundwater‐influenced river, water temperatures stayed cool later into summer in high‐flow years than low‐flow yearsStatistical water temperature model predictions became more accurate when the influence of river flow was allowed to vary seasonallyThese accessible models can be applied to other rivers or streams with daily, long‐term flow and water temperature records [ABSTRACT FROM AUTHOR]
- Published
- 2023
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