Quantitative Microbial Risk Assessment for Private Wells in Flood-Impacted Areas

被引:2
|
作者
Gitter, Anna [1 ]
Boellstorff, Diane E. E. [2 ]
Mena, Kristina D. D. [1 ]
Gholson, Drew M. M. [3 ]
Pieper, Kelsey J. J. [4 ]
Chavarria, Carlos A. A. [1 ]
Gentry, Terry J. J. [5 ]
机构
[1] Univ Texas Hlth Sci Ctr, Houston Sch Publ Hlth, Dept Epidemiol Human Genet & Environm Sci, Houston, TX 77030 USA
[2] Texas A&M AgriLife Extens Serv, College Stn, TX 77845 USA
[3] Mississippi State Univ, Natl Ctr Alluvial Aquifer Res NCAAR, Stoneville, MS 38776 USA
[4] Northeastern Univ, Dept Civil & Environm Engn, Boston, MA 02115 USA
[5] Texas A&M Univ, Dept Soil & Crop Sci, College Stn, TX 77843 USA
基金
美国国家环境保护局; 美国国家科学基金会;
关键词
microbial risk assessment; private wells; water quality; WASTE-WATER TREATMENT; DOSE-RESPONSE MODELS; DRINKING-WATER; HEALTH-RISK; ESCHERICHIA-COLI; PATHOGEN REDUCTION; CRYPTOSPORIDIUM; VIRUSES; SEWAGE; CONTAMINATION;
D O I
10.3390/w15030469
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Microbial contamination of private well systems continues to be a prominent drinking water concern, especially for areas impacted by floodwaters. Hurricane Harvey deposited nearly 60 inches of rain, resulting in extensive flooding throughout Houston, Texas, and neighboring counties. A sampling campaign to test private wells for fecal indicator bacteria was initiated in the weeks following flooding. Escherichia coli concentrations measured in wells were utilized in a quantitative microbial risk assessment to estimate the risk of infection for both drinking water and indirect ingestion exposure scenarios. Derived reference pathogen doses indicated that norovirus (1.60 x 10(-4) to 8.32 x 10(-5)) and Cryptosporidium (2.37-7.80 x 10(-6)) posed the greatest health risk via drinking, with median health risk estimates exceeding the U.S. Environmental Protection Agency's modified daily risk threshold of 1 x 10(-6) for a gastrointestinal infection. Bathing (1.78 x 10(-6)), showering (4.32 x 10(-7)), and food/dish washing (1.79 x 10(-6)) were also identified to be exposure pathways of health concern. A post-flood microbial risk assessment of private wells in the Gulf Coast has not previously been conducted. Estimating these health risks can provide scientifically supported guidance regarding which well water practices are safest, especially when well water quality is unknown. Developing this guidance is critical as coastal communities experience increased vulnerability to flooding.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] Flood and drought risk assessment for agricultural areas (Tagus Estuary, Portugal)
    Freire, Paula
    Rodrigues, Marta
    Fortunato, Andre B.
    Freitas, Alberto
    NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2021, 21 (08) : 2503 - 2521
  • [42] RISK ASSESSMENT FOR CONTAMINANT LEACHING FROM FLOOD WATER RETENTION AREAS
    Bethge, Ekkehart
    Mohrlok, Ulf
    CONSOIL 2008: THEME B - FUNCTIONS AND VALUES OF SOIL-WATER SYSTEMS; UNDERSTANDING OF PROCESSES, 2008, : 23 - 32
  • [43] Improving regional flood risk assessment using flood frequency and dendrogeomorphic analyses in mountain catchments impacted by tropical cyclones
    Quesada-Roman, Adolfo
    Ballesteros-Canovas, Juan Antonio
    Granados-Bolanos, Sebastian
    Birkel, Christian
    Stoffel, Markus
    GEOMORPHOLOGY, 2022, 396
  • [44] A quantitative flood risk analysis methodology for urban areas with integration of social research data
    Escuder-Bueno, I.
    Castillo-Rodriguez, J. T.
    Zechner, S.
    Joebstl, C.
    Perales-Momparler, S.
    Petaccia, G.
    NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2012, 12 (09) : 2843 - 2863
  • [45] Quantitative risk assessment of the natural gas pipelines in upgraded areas
    Zhou Y.
    Zhang Z.
    Tian S.
    Natural Gas Industry, 2018, 38 (02) : 112 - 118
  • [46] Legionnaires' disease: evaluation of a quantitative microbial risk assessment model
    Armstrong, Thomas W.
    Haas, Charles N.
    JOURNAL OF WATER AND HEALTH, 2008, 6 (02) : 149 - 166
  • [47] Quantitative Microbial Risk Assessment and Molecular Biology: Paths to Integration
    Haas, Charles N.
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2020, 54 (14) : 8539 - 8546
  • [48] Producing ratio measures of effect with quantitative microbial risk assessment
    Capone, Drew
    Bivins, Aaron
    Brown, Joe
    RISK ANALYSIS, 2023, 43 (05) : 917 - 927
  • [49] Quantitative microbial risk assessment of Salmonella in fresh chicken patties
    Stathas, Leonardos
    Aspridou, Zafiro
    Koutsoumanis, Konstantinos
    FOOD RESEARCH INTERNATIONAL, 2024, 178
  • [50] Research gaps and priorities for quantitative microbial risk assessment (QMRA)
    Hamilton, Kerry A.
    Harrison, Joanna Ciol
    Mitchell, Jade
    Weir, Mark
    Verhougstraete, Marc
    Haas, Charles N.
    Nejadhashemi, A. Pouyan
    Libarkin, Julie
    Aw, Tiong Gim
    Bibby, Kyle
    Bivins, Aaron
    Brown, Joe
    Dean, Kara
    Dunbar, Gwyneth
    Eisenberg, Joseph N. S.
    Emelko, Monica
    Gerrity, Daniel
    Gurian, Patrick L.
    Hartnett, Emma
    Jahne, Michael
    Jones, Rachael M.
    Julian, Timothy R.
    Li, Hongwan
    Li, Yanbin
    Gibson, Jacqueline MacDonald
    Medema, Gertjan
    Meschke, J. Scott
    Mraz, Alexis
    Murphy, Heather
    Oryang, David
    Owusu-Ansah, Emmanuel de-Graft Johnson
    Pasek, Emily
    Pradhan, Abani K.
    Razzolini, Maria Tereza Pepe
    Ryan, Michael O.
    Schoen, Mary
    Smeets, Patrick W. M. H.
    Soller, Jeffrey
    Solo-Gabriele, Helena
    Williams, Clinton
    Wilson, Amanda M.
    Zimmer-Faust, Amy
    Alja'fari, Jumana
    Rose, Joan B.
    RISK ANALYSIS, 2024, 44 (11) : 2521 - 2536