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评估常用的废水参数以估算用于基于废水的流行病学研究的排水流域人口:洞察新冠疫情期间纽约市的人口动态

Assessment of Commonly Measured Wastewater Parameters to Estimate Sewershed Populations for Use in Wastewater-Based Epidemiology: Insights into Population Dynamics in New York City during the COVID-19 Pandemic.

作者信息

Hoar Catherine, Li Yitao, Silverman Andrea I

机构信息

Department of Civil and Urban Engineering, Tandon School of Engineering, New York University, Brooklyn, New York 11201, United States.

出版信息

ACS ES T Water. 2022 Apr 20;2(11):2014-2024. doi: 10.1021/acsestwater.2c00052. eCollection 2022 Nov 11.

Abstract

Understanding per capita rates of disease incidence or prevalence from wastewater surveillance data requires an estimate of the population contributing to wastewater samples, given that populations in large urban areas are dynamic, especially if major events, such as the onset of the COVID-19 pandemic, cause large population shifts. To assess whether commonly measured wastewater parameters can be used to estimate sewershed populations, we used wastewater data collected from New York City's (NYC) 14 wastewater treatment facilities to evaluate the relationship between influent loads of four wastewater parameters-ammonia, total Kjeldahl nitrogen, total suspended solids, and five-day carbonaceous biochemical oxygen demand-and census-based population estimates of the corresponding sewersheds during 2019, when populations were assumed to be relatively stable. Ammonia mass load had the most consistent relationship with sewershed population, regardless of wet weather contributions to NYC's predominantly combined sewer system. Changes in ammonia loads due to COVID-19 restrictions enacted in March 2020 generally reflected population shifts in sewersheds serving areas of Manhattan and Brooklyn, for which previous studies report decreased commuter mobility and residential populations. Our findings highlight the utility of ammonia mass load in influent wastewater as a population indicator to normalize wastewater-based epidemiology data and track sewershed population dynamics.

摘要

鉴于大城市地区的人口是动态变化的,尤其是像新冠疫情爆发这样的重大事件会导致大规模人口迁移,因此要从污水监测数据中了解疾病发病率或患病率的人均比率,就需要估算产生污水样本的人口数量。为了评估常用的污水参数是否可用于估算排水区域人口,我们使用了从纽约市14个污水处理设施收集的污水数据,来评估2019年(当时假定人口相对稳定)四种污水参数(氨、凯氏氮总量、总悬浮固体和五日生化需氧量)的进水负荷与相应排水区域基于人口普查的人口估计数之间的关系。无论降雨天气对纽约市主要的合流制排水系统有何影响,氨质量负荷与排水区域人口的关系最为一致。2020年3月因新冠疫情限制措施导致的氨负荷变化,总体上反映了曼哈顿和布鲁克林地区服务的排水区域的人口迁移情况,此前的研究报告称这些地区的通勤流动性和常住人口有所下降。我们的研究结果突出了进水污水中氨质量负荷作为一种人口指标的作用,可用于对基于污水的流行病学数据进行标准化,并跟踪排水区域的人口动态。

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