Partial least squares for efficient models of fecal indicator bacteria on Great Lakes beaches
Journal of Environmental Management
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Abstract
At public beaches, it is now common to mitigate the impact of water-borne pathogens by posting a swimmer's advisory when the concentration of fecal indicator bacteria (FIB) exceeds an action threshold. Since culturing the bacteria delays public notification when dangerous conditions exist, regression models are sometimes used to predict the FIB concentration based on readily-available environmental measurements. It is hard to know which environmental parameters are relevant to predicting FIB concentration, and the parameters are usually correlated, which can hurt the predictive power of a regression model. Here the method of partial least squares (PLS) is introduced to automate the regression modeling process. Model selection is reduced to the process of setting a tuning parameter to control the decision threshold that separates predicted exceedances of the standard from predicted non-exceedances. The method is validated by application to four Great Lakes beaches during the summer of 2010. Performance of the PLS models compares favorably to that of the existing state-of-the-art regression models at these four sites.
Suggested Citation
Brooks, W.R., Fienen, M., Corsi, S., 2013, Partial least squares for efficient models of fecal indicator bacteria on Great Lakes beaches: Journal of Environmental Management, v. 114, p. 470-475, https://doi.org/10.1016/j.jenvman.2012.09.033.
Study Area
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Partial least squares for efficient models of fecal indicator bacteria on Great Lakes beaches |
| Series title | Journal of Environmental Management |
| DOI | 10.1016/j.jenvman.2012.09.033 |
| Volume | 114 |
| Year Published | 2013 |
| Language | English |
| Publisher | Elsevier |
| Contributing office(s) | Wisconsin Water Science Center |
| Description | 6 p. |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | Journal of Environmental Management |
| First page | 470 |
| Last page | 475 |
| Country | United States |