Microbial contaminant fate and transport in complex source waters

拟议的研究计划旨在对饮用水水源中微生物污染物的动态变化有一个新的全面理解。拟议的研究将侧重于对关键微生物污染物：大肠杆菌、隐孢子虫、贾第虫、弯曲杆菌、蓝藻和氰化毒素的监测和流体动力学模型校准和验证。据推测，水源水中微生物污染物的密度将主要受融雪或降水事件引起的流域条件变化的影响，并将对营养物质和沉积物通量的变化做出反应。了解环境因素和微生物污染物之间的动态相互关系将有助于预测病原体和蓝藻毒素的基线和峰值出现情况。预测地表水中微生物污染物密度的能力将有助于选择水处理工艺，并将指导处理厂的运行。此外，模型的开发将帮助规划者做出影响生态系统和人类健康的水源保护的重要决定。

The proposed research plan aims to develop a new comprehensive understanding of the dynamics of microbial contaminants in drinking water sources. The proposed research will focus on monitoring and hydrodynamic model calibration and validation for key microbial contaminants: Escherichia coli, Cryptosporidium, Giardia, Campylobacter, cyanobacteria, and cyanotoxins. It is hypothesized that densities of microbial contaminants in source waters will be influenced primarily by changes in watershed conditions from snowmelt or precipitation events and will respond to changes in nutrient and sediment fluxes. Knowledge of the dynamic interrelationships between environmental factors and microbial contaminants will facilitate the prediction of baseline and peak occurrences of pathogens and cyanobacterial toxins. The ability to predict densities of microbial contaminants in surface waters will assist with the selection of water treatment processes and will guide treatment plant operations. Furthermore, the development of a model will help planners with making important decisions for source water protection that impact both ecosystems and human health.