Crossmark

Applying Interpretable Machine Learning for Hypoxia Mitigation: an Operational Framework Coupling Predictive Modeling and Causal Inference for Urban River Management

Crossref DOI link: https://doi.org/10.1007/s11269-025-04443-9

Published Online: 2026-01-03

Published Print: 2026-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Chen, Jia-yun

Wang, Da-wei

Hua, Zu-lin

Chu, Ke-jian

Gu, Li https://orcid.org/0000-0002-4842-0018
Funding

Funding for this research was provided by:

the Jiangsu Provincial Innovation Research Program on Carbon Peaking and Carbon Neutrality (BT2024012)

the Water Science and Technology Project of Jiangsu Province, China (Grant No. 2022034)

the PAPD Project (the PAPD Project)
License Information

Text and Data Mining valid from 2026-01-01

Version of Record valid from 2026-01-01
More Information

Article History

Received: 27 February 2025

Accepted: 7 October 2025

First Online: 3 January 2026

Declarations

:

: The authors confirm that this article is original research and did not involve Human Participants and/or Animal.

: The authors agree to participate in any survey or feedback task.

: All authors approved submitting the final manuscript, and consent the publication of this manuscript by Water Resources Management journal.

Document is current

Any future updates will be listed below