title: Comparing the partitioning behavior of Giardia and Cryptosporidium with that of indicator organisms in stormwater runoff.
abstract: Microbial association with particles can significantly affect the fate and transport characteristics of microbes in aquatic systems as particle-associated organisms will be less mobile in the environment than their free phase (i.e. unattached) counterparts. As such, similarities or dissimilarities in the partitioning behavior of indicator organisms and pathogens may have an impact on the suitability of a particular indicator to act as a surrogate for a pathogen. This research analyzed the partitioning behavior of two pathogens (Cryptosporidium, Giardia) and several common indicator organisms (fecal coliform, Escherichia coli, Enterococci, Clostridium perfringens spores, and coliphage) in natural waters under both dry and wet weather conditions. Samples were taken from several streams in two distinct sampling phases: (i) single grab samples; and (ii) intrastorm samples obtained throughout the duration of four storms. Partitioning behavior varied by microbial type, with 15-30% of bacterial indicators (fecal coliform, E. coli, and Enterococci) associated with settleable particles compared to 50% for C. perfringens spores. Both pathogens exhibited similar levels of particle association during dry weather (roughly 30%), with increased levels observed during wet weather events (Giardia to 60% and Cryptosporidium to 40%). The settling velocities of particle-associated microbes were also estimated, with those of the bacterial indicators (fecal coliform, E. coli, and Enterococci), as well as C. perfringens spores, being similar to that of the Giardia and Cryptosporidium, suggesting these organisms may exhibit similar transport behavior. With respect to intrastorm analysis, the highest microbial concentrations, in both particle-associated and free phase, occurred during the earlier stages of a storm. The total loadings of both indicators and pathogens were also estimated over the course of individual storms.
authors.affiliation: Department of Environmental Sciences and Engineering, School of Public Health, University of North Carolina, Chapel Hill, NC 27599-7431, USA.
authors.forename: Adrienne R
authors.initials: AR
authors.lastname: Cizek
authors.forename: Gregory W
authors.initials: GW
authors.lastname: Characklis
authors.forename: Leigh-Anne
authors.initials: LA
authors.lastname: Krometis
authors.forename: Jeffrey A
authors.initials: JA
authors.lastname: Hayes
authors.forename: Otto D
authors.initials: OD
authors.lastname: Simmons
authors.forename: Steve
authors.initials: S
authors.lastname: Di Lonardo
authors.forename: Kerri A
authors.initials: KA
authors.lastname: Alderisio
authors.forename: Mark D
authors.initials: MD
authors.lastname: Sobsey
mesh_terms: D000818:Animals; D003016:Clostridium perfringens / Q000302:isolation & purification; D003090:Coliphages / Q000302:isolation & purification; D003458:Cryptosporidium / Q000302:isolation & purification*; D016983:Enterococcus / Q000302:isolation & purification; D004926:Escherichia coli / Q000302:isolation & purification; D005243:Feces / Q000382:microbiology / Q000821:virology; D005872:Giardia / Q000302:isolation & purification*; D006801:Humans; D009519:New York City; D014867:Water / Q000469:parasitology*; D014871:Water Microbiology; D014887:Weather
chemical_list: D014867:Water