Estimation of base and surface flow using deep neural networks and a hydrologic model in two watersheds of the Chesapeake Bay

Jiye Lee, Ather Abbas, Gregory W. McCarty, Xuesong Zhang, Sangchul Lee*, Kyung Hwa Cho

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations
Original languageEnglish (US)
Article number128916
JournalJournal of Hydrology
Volume617
DOIs
StatePublished - Feb 2023

Bibliographical note

Funding Information:
This work was supported by Korea Environment Industry & Technology Institute (KEITI) through Aquatic Ecosystem Conservation Research Program, funded by Korea Ministry of Environment (MOE) (2020003050001) and the Basic Study and Interdisciplinary R&D Foundation Fund of the University of Seoul (2021) for SangChul Lee. Authors Drs. Gregory McCarty and Xuesong Zhang are supported by USDA and data presented in this paper were collected under the framework of the USDA Conservation Effects Assessment Project (CEAP) and the Long-Term Agroecosystem Research (LTAR) network.

ASJC Scopus subject areas

  • Water Science and Technology

Cite this