TY - JOUR
T1 - The Relationship Between Environmental Parameters and Microbial Water Quality at Two Costa Rican Beaches from 2002 to 2017
AU - Laureano-Rosario, Abdiel E.
AU - Symonds, Erin M.
AU - González-Fernández, Adriana
AU - Lizano R., Omar G.
AU - Mora Alvarado, Darner
AU - Rivera Navarro, Pablo
AU - Badilla-Aguilar, Andrei
AU - Rueda-Roa, Digna
AU - Otis, Daniel B.
AU - Harwood, Valerie J.
AU - Cairns, Maryann R.
AU - Muller-Karger, Frank E.
PY - 2021/1/1
Y1 - 2021/1/1
N2 - Environmental conditions influence fecal indicator bacteria (FIB) levels, which are routinely used to characterize recreational water quality. This study examined 15 years of environmental and FIB data at Puntarenas and Jacó beach, Costa Rica. FIB relationships with sea level, wave height, precipitation, direct normal irradiance (DNI), wind, and turbidity were analyzed. Pearson's correlations identified lags between 24 and 96 h among environmental parameters and FIB. Multiple linear regression models composed of environmental parameters explained 24% and 27% of fecal coliforms and enterococci variability in Jacó, respectively. Puntarenas’s models explained 17–26% of fecal coliforms and 12–18% enterococci variability. Precipitation, sea level anomalies, and wave height most frequently explained FIB variability. Hypothesis testing often identified significant differences in precipitation, wave height, daily sea level anomalies, and maximum sea level 24 h prior between days with and without FIB threshold exceedance. Unexpected FIB interactions with DNI, sea level, and turbidity highlight the importance of future investigations.
AB - Environmental conditions influence fecal indicator bacteria (FIB) levels, which are routinely used to characterize recreational water quality. This study examined 15 years of environmental and FIB data at Puntarenas and Jacó beach, Costa Rica. FIB relationships with sea level, wave height, precipitation, direct normal irradiance (DNI), wind, and turbidity were analyzed. Pearson's correlations identified lags between 24 and 96 h among environmental parameters and FIB. Multiple linear regression models composed of environmental parameters explained 24% and 27% of fecal coliforms and enterococci variability in Jacó, respectively. Puntarenas’s models explained 17–26% of fecal coliforms and 12–18% enterococci variability. Precipitation, sea level anomalies, and wave height most frequently explained FIB variability. Hypothesis testing often identified significant differences in precipitation, wave height, daily sea level anomalies, and maximum sea level 24 h prior between days with and without FIB threshold exceedance. Unexpected FIB interactions with DNI, sea level, and turbidity highlight the importance of future investigations.
KW - Recreational water quality
KW - Fecal coliforms
KW - Enterococci
KW - Remote sensing
KW - Tropics
UR - https://digitalcommons.usf.edu/msc_facpub/1587
UR - https://doi.org/10.1016/j.marpolbul.2020.111957
U2 - 10.1016/j.marpolbul.2020.111957
DO - 10.1016/j.marpolbul.2020.111957
M3 - Article
C2 - 33440264
VL - 163
JO - Marine Pollution Bulletin
JF - Marine Pollution Bulletin
ER -