EGU25-13799, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-13799
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Development of a hybrid machine learning model to predict total phosphorus in streams over the north shore of Lake Superior
Amit Kumar and Kun Zhang
Amit Kumar and Kun Zhang
  • Department of Civil Engineering, University of Minnesota Duluth , United States of America (kuma0341@d.umn.edu)

How to cite: Kumar, A. and Zhang, K.: Development of a hybrid machine learning model to predict total phosphorus in streams over the north shore of Lake Superior, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-13799, https://doi.org/10.5194/egusphere-egu25-13799, 2025.

This abstract has been withdrawn on 25 Jul 2025.