College of Marine Science, University of South Florida, Saint Petersburg, FL 33701, USA.
College of Marine Science, University of South Florida, Saint Petersburg, FL 33701, USA.
Mar Pollut Bull. 2021 Feb;163:111957. doi: 10.1016/j.marpolbul.2020.111957. Epub 2021 Jan 10.
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.
环境条件会影响粪大肠菌群(FIB)的水平,而粪大肠菌群常被用于描述休闲水域的水质。本研究对哥斯达黎加蓬塔雷纳斯和雅可比海滩 15 年的环境和 FIB 数据进行了调查。分析了 FIB 与海平面、波高、降水、直接法向照度(DNI)、风和浊度之间的关系。Pearson 相关系数确定了环境参数与 FIB 之间 24 至 96 小时的滞后。由环境参数组成的多元线性回归模型分别解释了雅可比海滩粪大肠菌群和肠球菌变异性的 24%和 27%。蓬塔雷纳斯的模型解释了粪大肠菌群和肠球菌变异性的 17-26%和 12-18%。降水、海平面异常和波高最常解释 FIB 的变异性。假设检验经常确定出 FIB 超标日和非超标日之间在降水、波高、每日海平面异常和 24 小时前最大海平面方面存在显著差异。DNI、海平面和浊度与 FIB 的意外相互作用凸显了未来研究的重要性。