School of Occupational and Public Health, Ryerson University, Toronto, ON M5B 1Z5, Canada.
Toronto Public Health, Toronto, ON M5B 2L6, Canada.
Int J Environ Res Public Health. 2021 Dec 6;18(23):12841. doi: 10.3390/ijerph182312841.
Poor freshwater beach quality, measured by () levels, poses a risk of recreational water illness. This study linked environmental data to geometric means collected at 18 beaches in Toronto (2008-2019) and the Niagara Region (2011-2019) to examine the environmental predictors of . We developed region-specific models using mixed effects models to examine as a continuous variable and recommended thresholds of concentration (100 CFU/100 mL and 200 CFU/100 mL). Substantial clustering of values at the beach level was observed in Toronto, while minimal clustering was seen in Niagara, suggesting an important beach-specific effect in Toronto beaches. Air temperature and turbidity (measured directly or visually observed) were positively associated with in all models in both regions. In Toronto, waterfowl counts, rainfall, stream discharge and water temperature were positively associated with levels, while solar irradiance and water level were negatively associated. In Niagara, wave height and water level had a positive association with , while rainfall was negatively associated. The differences in regional models suggest the importance of a region-specific approach to addressing beach water quality. The results can guide beach monitoring and management practices, including predictive modelling.
水质较差的淡水海滩(通过 () 水平来衡量)存在引发与休闲相关的水传播疾病的风险。本研究将环境数据与 2008 年至 2019 年在多伦多(2011 年至 2019 年在尼亚加拉地区)的 18 个海滩收集的几何平均值进行了关联,以检验影响 () 的环境因素。我们使用混合效应模型为两个地区分别建立了特定区域的模型,以检验 () 作为连续变量的情况,并建议 () 浓度的阈值(100 CFU/100 mL 和 200 CFU/100 mL)。在多伦多,海滩水平的 () 值存在大量聚集,而在尼亚加拉则几乎没有聚集,这表明多伦多海滩具有重要的海滩特异性效应。在两个地区的所有模型中,空气温度和浊度(直接测量或目测)均与 () 呈正相关。在多伦多,水禽数量、降雨量、溪流流量和水温与 () 水平呈正相关,而太阳辐射和水位则呈负相关。在尼亚加拉,波高和水位与 () 呈正相关,而降雨量则呈负相关。区域模型的差异表明,采用特定区域的方法解决海滩水质问题非常重要。研究结果可以指导海滩监测和管理实践,包括预测模型的建立。