Statistical evaluation of intra-event variability of fecal indicator in stormwater runoff from different land uses

Ma Cristina A. Paule, Sheeraz Memon, Bum Yeon Lee, Umer S. Raja, Chinzorig Sukhbaatar, Jey R.S. Ventura, Deokjin Jahng, Joo Hyon Kang, Chang Hee Lee

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations

Abstract

Stormwater runoff is one of the major transporters of fecal indicator bacteria (FIB) contaminant in the downstream areas. The development of models to predict FIB concentrations in stormwater runoff are important because it is impractical to monitor and analyze every different microorganism at all monitoring sites. Understanding the correlation of hydrological characteristics such as antecedent dry days (ADD), total rainfall (RAIN), average rainfall intensity (AVGINT), runoff duration (RUNDUR) and runoff volume (RUNVOL), is important in development of such models. In this study, the samples were collected from three different monitoring sites which include agriculture (Site 1); mixed catchment (Site 2) and urban (Site 3). Results demonstrate that Site 1 showed low levels of FIB concentration; however, concentration levels for the samples collected during intra-event flow (initial, peak and final) exceeded the regulatory threshold limits for either safe drinking or recreational purposes in all monitoring sites. The Pearson correlation coefficient between Escherichia coli (EC) and Fecal Streptococcus (FS) showed statistically significant. Multiple linear regression analysis (MLR) was used to determine the dominant factors that affect the FIB concentrations. Based on MLR analyses, the result suggest that, ADD, AVGINT and RUNDUR were significantly affects the intra-event FIB concentrations in the study area.

Original languageEnglish
Pages540-547
Number of pages8
StatePublished - 2014
Event7th International Congress on Environmental Modelling and Software, iEMSs 2014 - San Diego, United States
Duration: 15 Jun 201419 Jun 2014

Conference

Conference7th International Congress on Environmental Modelling and Software, iEMSs 2014
Country/TerritoryUnited States
CitySan Diego
Period15/06/1419/06/14

Keywords

  • Fecal indicator bacteria
  • Hydrological characteristics
  • Multiple linear regression model
  • Stormwater runoff

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