Real-Time Size Distributions of Air Pollutants From a Wastewater Treatment Plant in the New York State Capital District

被引:2
|
作者
Marks, Tia [1 ]
Begum, Thoin [2 ]
McDermott, Katherine [3 ]
Khwaja, Haider A. [1 ,4 ]
机构
[1] New York State Dept Hlth, Ctr Environm Hlth, Corning Tower, Albany, NY 12201 USA
[2] Temple Univ, Lewis Katz Sch Med, Ctr Asian Hlth, 1801 N Broad St, Philadelphia, PA 19122 USA
[3] Univ Albany, Dept Environm Hlth Sci, Sch Publ Hlth, 1 Univ Pl, Rensselaer, NY 12144 USA
[4] New York State Dept Hlth, Wadsworth Ctr, Empire State Plaza, Albany, NY 12201 USA
关键词
Public health; Particulate matter; Environmental monitoring; Bio-aerosols; Wastewater treatment plant; EXPOSURE; POLLUTION;
D O I
10.1007/s41742-023-00545-7
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
While airborne particle emissions from wastewater treatment plants (WWTP) have been identified in studies as a public health concern, few studies have quantitatively assessed particulate matter (PM) emissions. Our study objective was to investigate PM levels as well as bacterial and fungal exposure at a WWTP to understand the time of day and location with the highest potential exposure. We performed real-time monitoring of size-segregated PM using an AEROCET 531 at the aeration tanks (site A), upwind (site B), and downwind (site C) as determined by prevailing winds. Using an Optical Particle Sizer (OPS), we measured PM from 0.3 to 10 & mu;m near site A. Passive surveillance of microbial activity was conducted at all locations. The highest microbial counts were observed near site A, which was consistent with high levels of total suspended particles (TSP) at site A. The mean TSP level at site A was 11.4 & mu;g/m3 and results suggest large particle distributions were consistent at all locations. The highest concentration of 0.3 & mu;m particles (the smallest particle fraction measured) was 72,180 #/cm3, with a mean of 37,605 # /cm3. PM data exhibited diurnal patterns across all sampling locations. Elevated PM concentrations were observed on warm days while levels fell on cooler days. High quantities of organic matter within particulates may be concerning given the potential release of bioaerosols within and possibly beyond the WWTP facility. Other studies have identified risks from similar exposures; however, population-based health outcomes were not considered in this study.Highlights.Particulate matter levels and bioaerosols have increased activity at WWTPsHigher temperatures appear to increase both large and small PMConsistent time periods show increased levelsHigh fine particle levels were observed at the source of aeration at the WWTP
引用
收藏
页数:14
相关论文
共 43 条
  • [21] Assessment of the Onondaga Lake, New York, fish community following reductions of nutrient inputs from a wastewater treatment plant
    Murphy, Margaret H.
    Gandino, Christopher J.
    Ringler, Neil H.
    Kirby, Lucas
    Johnson, Stephanie
    Smith, Matthew
    Schroeder, Suzannah
    LAKE AND RESERVOIR MANAGEMENT, 2015, 31 (04) : 347 - 358
  • [22] Real-Time Forecast of Hydrologically Sensitive Areas in the Salmon Creek Watershed, New York State, Using an Online Prediction Tool
    Dahlke, Helen E.
    Easton, Zachary M.
    Fuka, Daniel R.
    Walter, M. Todd
    Steenhuis, Tammo S.
    WATER, 2013, 5 (03) : 917 - 944
  • [24] Quantitative real-time PCR of enteric viruses in influent and effluent samples from wastewater treatment plants in Italy
    La Rosa, Giuseppina
    Pourshaban, Manoochehr
    Iaconelli, Marcello
    Muscillo, Michele
    ANNALI DELL ISTITUTO SUPERIORE DI SANITA, 2010, 46 (03): : 266 - 273
  • [25] Mass loading, removal and emission of 27 quaternary ammonium compounds, including metabolites of benzalkonium, in a wastewater treatment plant in New York state, USA
    Li, Zhong-Min
    Kannan, Kurunthachalam
    JOURNAL OF HAZARDOUS MATERIALS, 2024, 480
  • [26] Assessment of airborne bacteria and noroviruses in air emission from a new highly-advanced hospital wastewater treatment plant
    Uhrbrand, K.
    Schultz, A. C.
    Koivisto, A. J.
    Nielsen, U.
    Madsen, A. M.
    WATER RESEARCH, 2017, 112 : 110 - 119
  • [27] Bio-communal wastewater treatment plant real-time modeling using an intelligent meta-heuristic approach: A sustainable and green ecosystem
    Abba, S. I.
    Kilinc, Huseyin Cagan
    Leong, Mou
    Demir, Vahdettin
    Ahmadianfar, Iman
    Halder, Bijay
    Heddam, Salim
    Jawad, Ali H.
    Al-Areeq, Ahmed M.
    Yaseen, Zaher Mundher
    JOURNAL OF WATER PROCESS ENGINEERING, 2023, 53
  • [28] Enhancing Real-Time Prediction of Effluent Water Quality of Wastewater Treatment Plant Based on Improved Feedforward Neural Network Coupled with Optimization Algorithm
    Xie, Yifan
    Chen, Yongqi
    Lian, Qing
    Yin, Hailong
    Peng, Jian
    Sheng, Meng
    Wang, Yimeng
    WATER, 2022, 14 (07)
  • [29] Zika Virus Testing Considerations: Lessons Learned from the First 80 Real-Time Reverse Transcription-PCR-Positive Cases Diagnosed in New York State
    St George, Kirsten
    Sohl, Inderbir S.
    Dufort, Elizabeth M.
    Dean, Amy B.
    White, Jennifer L.
    Limberger, Ronald
    Sommer, Jamie N.
    Ostrowski, Stephanie
    Wong, Susan J.
    Backenson, P. Bryon
    Kuhles, Daniel
    Blog, Debra
    Taylor, Jill
    Hutton, Brad
    Zucker, Howard A.
    JOURNAL OF CLINICAL MICROBIOLOGY, 2017, 55 (02) : 535 - 544
  • [30] Evaluation of a Real-Time Reverse Transcription-PCR Assay for Detection of Enterovirus D68 in Clinical Samples from an Outbreak in New York State in 2014
    Jian Zhuge
    Vail, Eric
    Bush, Jeffrey L.
    Singelakis, Lauren
    Huang, Weihua
    Nolan, Sheila M.
    Haas, Janet P.
    Engel, Helen
    Della Posta, Millicent
    Yoon, Esther C.
    Fallon, John T.
    Wang, Guiqing
    JOURNAL OF CLINICAL MICROBIOLOGY, 2015, 53 (06) : 1915 - 1920