Zhongrun Xiang, a PhD candidate in the Department of Civil and Environmental Engineering, has published a paper in the journal Water Resources Research. Zhongrun is also part of two college research centers - the Iowa Flood Center and IIHR—Hydroscience & Engineering.

Zhongrun’s paper is: "A rainfall‐runoff model with LSTM‐based sequence‐to‐sequence learning." The paper proposed a new artificial neural network model to predict the stream flow for the next 24 hours at high accuracy. This model can serve as a complement or substitute for physically based models, especially for underperforming watersheds and stations.

The full citation is below:

Xiang, Z., Yan, J., & Demir, I. ( 2020). A rainfall‐runoff model with LSTM‐based sequence‐to‐sequence learning. Water Resources Research, 56, e2019WR025326. https://doi.org/10.1029/2019WR025326

About the Water Resources Research

Water Resources Research publishes original research articles and commentaries on hydrology, water resources, and the social sciences of water that provide a broad understanding of the role of water in Earth’s system.