Microbial contaminant fate and transport in complex source waters

复杂水源水中微生物污染物的归宿和迁移

• 批准号: 360490-2008
• 负责人: Dorner, Sarah
• 金额: $ 1.31万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=505157
• 关键词: Microbial; contaminant; fate; transport; complex

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.

拟议的研究计划旨在全面了解饮用水源中微生物污染物的动态。拟议的研究将侧重于监测和流体动力学模型校准和验证的关键微生物污染物：大肠杆菌，隐孢子虫，贾第虫，弯曲杆菌，蓝藻和蓝藻毒素。据推测，源沃茨中的微生物污染物的密度将主要受融雪或降水事件的流域条件变化的影响，并将响应营养盐和沉积物通量的变化。环境因素和微生物污染物之间的动态相互关系的知识将有助于预测的基线和高峰期发生的病原体和蓝藻毒素。预测地表沃茨中微生物污染物密度的能力将有助于水处理工艺的选择，并将指导处理厂的运作。 此外，模型的开发将有助于规划者做出影响生态系统和人类健康的重要决策。