Municipal separate storm sewer system (MS4) dry weather flows and potential flow sources as assessed by conventional and advanced bacterial analyses

被引:2
作者
Li, Dong [1 ]
Van De Werfhorst, Laurie C. [1 ]
Ervin, Jared [2 ]
Poresky, Aaron [2 ]
Steets, Brandon [2 ]
Rivers, Cindy [3 ]
Sharp, Grant [3 ]
Smith, Jen [4 ]
Holden, Patricia A. [1 ]
机构
[1] Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA 93109 USA
[2] Geosyntec Consultants, Santa Barbara, CA 93101 USA
[3] Orange Cty Publ Works, Orange, CA USA
[4] Univ Calif Santa Barbara, Calif NanoSyst Inst, Santa Barbara, CA USA
关键词
MS4; outfall; Non -stormwater discharges; Source tracking; Bacterial community; Potential human pathogen; SOURCE TRACKING; HEALTH-RISKS; WATER; CONTAMINATION; SOURCETRACKER; MARKERS; QPCR;
D O I
10.1016/j.envpol.2023.122521
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Municipal separate storm sewer systems (MS4s) function in urbanized areas to convey flows during both wet weather (i.e., stormwater) and dry weather (i.e., urban runoff as well as subsurface sources of flow) to receiving waters. While urban stormwater is known to contain microbial and chemical pollutants, MS4 dry weather flows, or non-stormwater discharges (NSWDs), are much less studied, although they are also known to contain pollutants, especially when these flows include raw sewage. In addition, some natural NSWDs (e.g., from ground-water infiltrating MS4 pipes) are critical for aquatic habitat protection. Thus, it is important to distinguish NSWD sources to prevent non-natural flows while retaining natural waters (i.e., groundwater). Here, MS4 dry weather flows were assessed by analyzing water samples from MS4 outfalls across multiple watersheds and water provider service areas in south Orange County, CA; potential NSWD sources including sewage, recycled water, potable water, and groundwater were sampled and analyzed for their likely contributions to overall NSWDs. Geochemical and microbiological water quality indicators, as well as bacterial communities, differed across NSWDs, yet water quality within most locations did not vary significantly diurnally or by sampling date. Meanwhile, NSWD source waters had distinctly different bacterial taxa abundances and specific bacterial genera. Shared geochemical and microbial characteristics of certain sources and outfall flows suggested the contributions of sources to outfall flows. The average proportions by sources contributing to MS4 outfalls were further estimated by SourceTracker and FEAST, respectively. The results of this study highlight the use of multiple tools when assessing chemical and microbiological water quality to predict sources of NSWDs contributing to urban MS4 flows during dry weather. This information can be used to support management actions to reduce unnatural and high risk sources of dry weather drainage while preserving natural sources important to environmental health in downstream receiving waters.
引用
收藏
页数:9
相关论文
共 46 条
  • [1] Precipitation influences pathogenic bacteria and antibiotic resistance gene abundance in storm drain outfalls in coastal sub-tropical waters
    Ahmed, Warish
    Zhang, Qian
    Lobos, Aldo
    Senkbeil, Jacob
    Sadowsky, Michael J.
    Harwood, Valerie J.
    Saeidi, Nazanin
    Marinoni, Oswald
    Ishii, Satoshi
    [J]. ENVIRONMENT INTERNATIONAL, 2018, 116 : 308 - 318
  • [2] [Anonymous], 2018, Microsoft Excel
  • [3] APHA, 2005, STANDARD METHODS EXA
  • [4] Heatmapper: web-enabled heat mapping for all
    Babicki, Sasha
    Arndt, David
    Marcu, Ana
    Liang, Yongjie
    Grant, Jason R.
    Maciejewski, Adam
    Wishart, David S.
    [J]. NUCLEIC ACIDS RESEARCH, 2016, 44 (W1) : W147 - W153
  • [5] Decay of host-associated Bacteroidales cells and DNA in continuous-flow freshwater and seawater microcosms of identical experimental design and temperature as measured by PMA-qPCR and qPCR
    Bae, Sungwoo
    Wuertz, Stefan
    [J]. WATER RESEARCH, 2015, 70 : 205 - 213
  • [6] Key issues for sustainable urban stormwater management
    Barbosa, A. E.
    Fernandes, J. N.
    David, L. M.
    [J]. WATER RESEARCH, 2012, 46 (20) : 6787 - 6798
  • [7] Refined ambient water quality thresholds for human-associated fecal indicator HF183 for recreational waters with and without co-occurring gull fecal contamination
    Boehm, A. B.
    Soller, J. A.
    [J]. MICROBIAL RISK ANALYSIS, 2020, 16
  • [8] Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2
    Bolyen, Evan
    Rideout, Jai Ram
    Dillon, Matthew R.
    Bokulich, NicholasA.
    Abnet, Christian C.
    Al-Ghalith, Gabriel A.
    Alexander, Harriet
    Alm, Eric J.
    Arumugam, Manimozhiyan
    Asnicar, Francesco
    Bai, Yang
    Bisanz, Jordan E.
    Bittinger, Kyle
    Brejnrod, Asker
    Brislawn, Colin J.
    Brown, C. Titus
    Callahan, Benjamin J.
    Caraballo-Rodriguez, Andres Mauricio
    Chase, John
    Cope, Emily K.
    Da Silva, Ricardo
    Diener, Christian
    Dorrestein, Pieter C.
    Douglas, Gavin M.
    Durall, Daniel M.
    Duvallet, Claire
    Edwardson, Christian F.
    Ernst, Madeleine
    Estaki, Mehrbod
    Fouquier, Jennifer
    Gauglitz, Julia M.
    Gibbons, Sean M.
    Gibson, Deanna L.
    Gonzalez, Antonio
    Gorlick, Kestrel
    Guo, Jiarong
    Hillmann, Benjamin
    Holmes, Susan
    Holste, Hannes
    Huttenhower, Curtis
    Huttley, Gavin A.
    Janssen, Stefan
    Jarmusch, Alan K.
    Jiang, Lingjing
    Kaehler, Benjamin D.
    Bin Kang, Kyo
    Keefe, Christopher R.
    Keim, Paul
    Kelley, Scott T.
    Knights, Dan
    [J]. NATURE BIOTECHNOLOGY, 2019, 37 (08) : 852 - 857
  • [9] Burkhart T. H., 2013, Biofilms as sources of fecal bacteria contamination in the stormwater drainage system in Singapore (Thesis)
  • [10] California Regional Water Quality Control Board, 2009, Order No. R8-2009-0030. NPDES No. CAS618030 as Amended by Order No. R8-2010-0062