machine learning
Agricultural Water Management Publication
A new publication in Agricultural Water Management (Wei and Xu, 2025) describes a new method to detect irrigation events by applying explainable artificial intelligence (xAI) to groundwater well records, remotely-sensed indices, and precipitation, with applications in the High Plains aquifer. Congratulations to the authors associated with the Center for Hydrologic Innovations!
J. Hydrology Publication
A new publication in Journal of Hydrology (Alonso Vicario et al., 2025) describes the impact of human modifications on the propagation of streamflow drought across the United States. Congratulations to authors associated with the Center for Hydrologic Innovations!
New methods for detecting snow in Arizona for water supply
Congratulations to the team from the Center for Hydrologic Innovations that was recently featured by the Arizona Water Innovation Initiative! Postdoctoral scholar Zhaocheng Wang described the effort as: “Planet imagery is useful for the type of dryland hydrology we have in Arizona. We trained a machine learning model called a convolutional neural network that can…
Prof. Ruijie Zeng wins NSF CAREER award
Prof. Ruijie Zeng, assistant professor and faculty member in the Center for Hydrologic Innovations, won the 2023 CAREER award from the National Science Foundation to map and study agricultural drainage systems using drones, simulation models and machine learning algorithms. This prestigious early-career award will help his research group develop new innovations for agricultural systems, with…