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Forecasting Urban Water Escherichia coli Contamination Using Machine Learning Models

Forecasting Urban Water Escherichia coli Contamination Using Machine Learning Models

This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.

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Authors

Vidhatri Iyer

Abstract

The state of Indiana ranks first in the nation for water recreation impairments due to contaminated waterways. According to U.S. Environmental Protection Agency, 73% of rivers and streams and 23% of lakes and reservoirs have recreational use impairments like swimming, fishing and boating. Increased density of urban population and agricultural activities are some of the key contributors to run-off into our urban watersheds. The fecal coliform bacteria Escherichia coli (E. coli) has been used as an indicator of bacterial pollution in the water streams. Local governmental water authorities and non-profit organizations routinely collect samples o...  more

DOI

https://doi.org/10.31223/X5D99N

Subjects

Microbiology

Keywords

E. coli, Urban waterstreams, machine learning models

Dates

Published: 2024-03-26 16:07

Last Updated: 2024-03-26 16:07

License

No Creative Commons license