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Identifying the Dominant Drivers of Hydrological Change in the Contiguous United States

Zhiying Li, Steven M. Quiring

2021Water Resources Research47 citationsDOI

Abstract

Abstract Understanding the dominant drivers of hydrological change is essential for water resources management. Watersheds in the United States are experiencing different types of changes (e.g., wet gets wetter and dry gets drier); however, few studies have analyzed what drivers are responsible for these changes, and how the dominant drivers vary over time and as a function of the climate/water regime and land cover. This study uses a time‐varying Budyko framework to quantify the relative importance of precipitation, potential evapotranspiration, and other factors (e.g., climate seasonality, agricultural drainage, and urbanization) in 889 watersheds in the contiguous United States from 1950 to 2009. Results show that watersheds that are getting wetter are primarily due to increases in precipitation. However, watersheds in dry climates that are getting drier are primarily due to other factors, while watersheds in wet climates that are getting drier are primarily due to precipitation. The drivers causing statistically significant streamflow trends vary depending on dominant land‐use types. Temporally, the increasing effects of other factors are more pronounced after the 1980s in the Midwest. The dominant drivers of streamflow in the United States are time‐varying instead of constant. This is consistent with non‐stationary patterns of streamflow. The time‐varying drivers provide information on the processes that are increasingly important and require the most attention in water resources management.

Topics & Concepts

StreamflowEvapotranspirationEnvironmental sciencePrecipitationClimate changeWater resourcesLand coverHydrology (agriculture)UrbanizationLand use, land-use change and forestryLand useGeographyAgricultureDrainage basinEcologyMeteorologyGeologyCartographyGeotechnical engineeringArchaeologyBiologyHydrology and Watershed Management StudiesHydrology and Drought AnalysisClimate variability and models
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