title: Monitoring and predicting the fecal indicator bacteria concentrations from agricultural, mixed land use and urban stormwater runoff.
abstract: While the urban runoff are increasingly being studied as a source of fecal indicator bacteria (FIB), less is known about the occurrence of FIB in watershed with mixed land use and ongoing land use and land cover (LULC) change. In this study, Escherichia coli (EC) and fecal streptococcus (FS) were monitored from 2012 to 2013 in agricultural, mixed and urban LULC and analyzed according to the most probable number (MPN). Pearson correlation was used to determine the relationship between FIB and environmental parameters (physicochemical and hydrometeorological). Multiple linear regressions (MLR) were used to identify the significant parameters that affect the FIB concentrations and to predict the response of FIB in LULC change. Overall, the FIB concentrations were higher in urban LULC (EC=3.33-7.39; FS=3.30-7.36log10MPN/100mL) possibly because of runoff from commercial market and 100% impervious cover (IC). Also, during early-summer season; this reflects a greater persistence and growth rate of FIB in a warmer environment. During intra-event, however, the FIB concentrations varied according to site condition. Anthropogenic activities and IC influenced the correlation between the FIB concentrations and environmental parameters. Stormwater temperature (TEMP), turbidity, and TSS positively correlated with the FIB concentrations (p>0.01), since IC increased, implying an accumulation of bacterial sources in urban activities. TEMP, BOD5, turbidity, TSS, and antecedent dry days (ADD) were the most significant explanatory variables for FIB as determined in MLR, possibly because they promoted the FIB growth and survival. The model confirmed the FIB concentrations: EC (R(2)=0.71-0.85; NSE=0.72-0.86) and FS (R(2)=0.65-0.83; NSE=0.66-0.84) are predicted to increase due to urbanization. Therefore, these findings will help in stormwater monitoring strategies, designing the best management practice for FIB removal and as input data for stormwater models.
authors.affiliation: Department of Environmental Engineering and Energy, Myongji University, 116 Myongji-ro, Cheoin-gu, Yongin-si, Gyeonggi-do 17058, Republic of Korea.
authors.forename: M A
authors.initials: MA
authors.lastname: Paule-Mercado
authors.affiliation: Department of Engineering Science, College of Engineering and Agro-Industrial Technology, University of the Philippines Los Banos, Los Banos, Laguna 4031, Philippines.
authors.forename: J S
authors.initials: JS
authors.lastname: Ventura
authors.affiliation: Institute of Environmental Engineering and Management, Mehran University of Engineering and Technology, Jamshoro, 76062, Sindh, Pakistan.
authors.forename: S A
authors.initials: SA
authors.lastname: Memon
authors.affiliation: Department of Environmental Engineering and Energy, Myongji University, 116 Myongji-ro, Cheoin-gu, Yongin-si, Gyeonggi-do 17058, Republic of Korea.
authors.forename: D
authors.initials: D
authors.lastname: Jahng
authors.affiliation: Department of Civil and Environmental Engineering, Dongguk University-Seoul, Seoul 100-715, Republic of Korea.
authors.forename: J-H
authors.initials: JH
authors.lastname: Kang
authors.affiliation: Department of Environmental Engineering and Energy, Myongji University, 116 Myongji-ro, Cheoin-gu, Yongin-si, Gyeonggi-do 17058, Republic of Korea.
authors.forename: C-H
authors.initials: CH
authors.lastname: Lee
mesh_terms: D000383:Agriculture; D004784:Environmental Monitoring; D008962:Models, Theoretical; D011891:Rain; D014871:Water Microbiology; D014872:Water Movements
keywords: Fecal indicator bacteria; Hydrometeorological; Land use and land cover; Multiple linear regression; Stormwater quality