评估美国雨水中人类来源的微生物污染
Jumana Alja'fari1, Sybil Sharvelle1, Amos Branch2
1Department of Civil and Environmental Engineering, Colorado State University, 700 Meridian Avenue, Fort Collins, CO 80523, USA.
Water research
|October 29, 2024
概括
雨水采集和利用 (SCU) 项目面临微生物污染的挑战. 使用微生物源追踪 (MST) 标记器估计的雨水中的人类便污染,可以指导安全的水再利用的处理目标.
科学领域:
- 环境微生物学 环境微生物学
- 水资源工程 水资源工程
- 公共卫生 公共卫生
背景情况:
- 雨水采集和利用 (SCU) 为市政供水提供了潜力,但受到微生物污染问题的阻碍.
- 雨水中的人类便污染可能来自老化的基础设施,无家可归的营地和下水道溢出.
- 评估污染水平对于选择适当的雨水处理策略至关重要.
研究的目的:
- 调查源自人类便的雨水中的微生物污染.
- 评估使用人类微生物源追踪 (MST) 标记物和潜在的人类传染病原体 (PHIP) 进行污染评估.
- 开发一种人类便污染模拟 (HFCA) 来告知雨水处理目标.
主要方法:
- 在雨水和废水中对人类MST标记物和PHIP进行了系统审查.
- 统计分析了MST和PHIP数据以估计HFCA.
- 比较了基于MST和基于PHIP的HFCA估计的可靠性.
主要成果:
- 基于人类MST的HFCAs在潮湿的天气中从10-7.0到10-1.5 (中位数=10-4.5),在干燥的天气中从10-12到10-2.6 (中位数=10-7.0).
- 在潮湿的天气中,基于PHIP的HFCAs从大约10-8到10-0.14不等.
- 由于PHIP数据集的局限性,基于人类MST的HFCA估计结果被发现更可靠.
结论:
- 基于人类MST的HFCAs提供了一种可靠的方法来估计雨水中的人类便污染.
- 建议使用基于人类MST的HFCAs来指导雨水处理过程的选择,以保护公共健康.
- 建议在雨水再利用应用中使用10-1的保守HFCA来告知病原体日志减少目标.
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