Microcystin concentrations and water quality in three agricultural ponds: A machine learning application

Jaclyn Smith; Matthew Stocker; Robert Hill; Yakov Pachepsky

doi:https://doi.org/10.5194/egusphere-egu25-6696

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EGU25-6696, updated on 14 Mar 2025

https://doi.org/10.5194/egusphere-egu25-6696

EGU General Assembly 2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Microcystin concentrations and water quality in three agricultural ponds: A machine learning application

Jaclyn Smith^1,2, Matthew Stocker², Robert Hill¹, and Yakov Pachepsky

²

Jaclyn Smith et al.

¹Environmental Science and Technology Department, University of Maryland, College Park, Maryland, United States of America (jesmith@umd.edu)
²Environmental and Microbial Food Safety Laboratory, United States Department of Agriculture, Beltsville, Maryland, United States of America

How to cite: Smith, J., Stocker, M., Hill, R., and Pachepsky, Y.: Microcystin concentrations and water quality in three agricultural ponds: A machine learning application, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-6696, https://doi.org/10.5194/egusphere-egu25-6696, 2025.

This abstract has been withdrawn on 25 Jul 2025.