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用crAssphage:衰变,温度和人口流动性的影响来描述废水监测的空间信息损失
Corinne Wiesner-Friedman1, Nichole E Brinkman2, Emily Wheaton2
1Oak Ridge Institute for Science and Education, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States.
Environmental science & technology
|November 28, 2023
概括
废水监测数据丢失了90%的关于便贡献的信息在旅行时间的10.3小时内. 这项研究模拟了信息丢失,以提高基于废水的流行病学准确性.
科学领域:
- 环境科学环境科学
- 公共卫生 公共卫生
- 流行病学 流行病学
背景情况:
- 废水包含来自人口的健康信息.
- 了解运输过程中的信息退化对于精确的废水监测至关重要.
- 空间分布的便贡献会影响废水信号的解释.
研究的目的:
- 为了统计估计废水中便贡献的信息损失.
- 开发一个空间统计方法来分析信息退化.
- 改进废水监测数据的解释.
主要方法:
- 应用了水文和液压影响的空间统计方法.
- 分析了污水流入中的crassphage (carjivirus communis) 负载.
- 在俄俄州汉密尔顿县利用人口普查区块组分辨率进行空间分析.
主要成果:
- 预计在10.3小时的旅行时间内,便贡献的信息损失为90%.
- 区分远距离的大便和近距离的小便贡献是很有挑战性的.
- 污水管网和废水特性显著影响信息退化.
结论:
- 废水运输中的信息丢失对准确的监控构成了挑战.
- 新的建模方法可以提高废水数据的解释.
- 优化下水道采样地点可以改善废水监测中的人口代表性.
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