title: Modeling spatiotemporal bacterial variability with meteorological and watershed land-use characteristics.
abstract: Bacteria are a primary contaminant in natural surface water. The instream concentration of fecal coliform, a potential indicator of pathogens, is influenced by meteorological conditions and land-use characteristics. However, the relationships between these conditions and fecal coliforms are not fully understood. Furthermore, the sources of large variability in fecal coliform counts, e.g., temporal or spatial sources, remain unexplained, especially at large scales. This study proposes the use of Bayesian overdispersed Poisson models, whereby the combined effects of temperature, rainfall, and land-use characteristics on fecal coliform concentration are quantified with predictive uncertainty, and the sources of variability in fecal coliform concentration are assessed. The models were developed using 8-year weekly observations of fecal coliforms obtained from the Wachusett Reservoir watershed in Massachusetts, USA. The results highlight the importance of interactions among meteorological and land-use characteristics in controlling the instream fecal coliform concentration; the increase in fecal coliform concentration with temperature increase was more drastic when rainfall occurred. Also, the responses of fecal coliforms to temperature increases were more pronounced in forest-dominated than in urban-dominated areas. In contrast, the fecal coliform concentration increased more rapidly with rainfall increases in urban-dominated than in forest-dominated areas. The models also demonstrate that among the sources of variability, the monthly component made the most significant contribution to the variability in fecal coliform concentrations. Our results suggest that seasonally dependent processes, including surface runoff, are critical factors that regulate fecal coliform concentration in streams.
authors.affiliation: School of Environmental Engineering, University of Seoul, Dongdaemun-gu, Seoul, 130-743, Republic of Korea.
authors.forename: YoonKyung
authors.initials: Y
authors.lastname: Cha
authors.affiliation: Department of Civil and Environmental Engineering, University of Massachusetts, 130 Natural Resources Road, Amherst, MA, 01003, USA.
authors.forename: Mi-Hyun
authors.initials: MH
authors.lastname: Park
authors.affiliation: Center for Water Resource Cycle Research, Korea Institute of Science and Technology, Hwarangno 14-gil 5, Seongbuk-gu, Seoul, 136-791, Republic of Korea.
authors.forename: Sang-Hyup
authors.initials: SH
authors.lastname: Lee
authors.affiliation: School of Environmental Science and Engineering, Gwangju Institute of Science and Technology (GIST), 261 Cheomdan-gwagiro, Buk-gu, Gwangju, 500-712, Republic of Korea. Electronic address: joonkim@gist.ac.kr.
authors.forename: Joon Ha
authors.initials: JH
authors.lastname: Kim
authors.affiliation: School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, 689-798, Republic of Korea. Electronic address: khcho@unist.ac.kr.
authors.forename: Kyung Hwa
authors.initials: KH
authors.lastname: Cho
mesh_terms: D001499:Bayes Theorem; D004755:Enterobacteriaceae; D005243:Feces / Q000382:microbiology; D055904:Meteorology; D045483:Rivers; D014871:Water Microbiology
keywords: Bayesian model; Fecal coliform; Land-use; Overdispersed-Poisson regression; Rainfall; Temperature; Variability