Water management often requires accounting for reductions in streamflow caused by groundwater pumping (‘streamflow depletion’). Since streamflow depletion cannot be quantified from observational data, it is typically modeled. Analytical depletion …
Decision-support systems using environmental data and models are increasingly common, but not always adopted by the intended end-users. This disconnect may be partly due to different values related to nature and the scientific process. In this study, …
Non-perennial streams constitute over half the world's stream miles but are not commonly included in streamflow monitoring networks. As a result, Stream Temperature, Intermittency, and Conductivity (STIC) loggers are widely used for characterizing …
Climate change is increasingly impacting water availability. National-scale hydrologic models simulate streamflow resulting from many important processes, but often without processes such as human water use and management activities. This work …
Transitions between dry and wet hydrologic states are the defining characteristic of non-perennial rivers and streams, which constitute the majority of the global river network. Although past work has focused on stream drying characteristics, there …
Reductions in streamflow caused by groundwater pumping, known as streamflow depletion, link the hydrologic process of stream-aquifer interactions to human modifications of the water cycle. Isolating the impacts of groundwater pumping on streamflow is …
Intermittent streams, which lack continuous surface water flow throughout the year, constitute a large proportion of global waterways and influence downstream water quality and quantity. Stream intermittency has been increasing in the Great Plains …
Many conventional stream network metrics are poorly suited to non-perennial streams, which can vary substantially in space and time. To address this issue, we considered non-perennial stream networks as directed acyclic graphs (DAGs). DAG metrics …