Monitoring and predicting the fecal indicator bacteria concentrations from agricultural, mixed land use and urban stormwater runoff

Paule-Mercado, Ma. Cristina; Ventura, Jey-R; Memon, Sheeraz; Jahng, Deokjin; Kang, Joo‐Hyon; Lee, C.-H.

doi:10.1016/j.scitotenv.2016.01.026

Cited by 77 publications

(48 citation statements)

References 35 publications

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“…Rural or high density residential areas are reported to contribute 30-50 times greater E. coli levels in stormwater compared to light or sparsely populated residential area (McCarthy et al, 2006). Paule-Mercado et al (2016) investigated the variability of FIB concentrations in agricultural, mixed land use and urban catchments with variable catchment area, land use, and land cover. The urban site had the greatest level (E. coli 7.39 log 10 MPN/100 mL; fecal streptococci 7.21 log 10 CFU/ 100 mL) of FIB concentrations compared to agricultural site (E. coli 2.51 log 10 MPN/100 mL; fecal streptococci 2.48 log 10 CFU/100 mL) because of runoff from commercial markets and impervious cover, sewer and septic overflows.…”

Section: Fecal Indicatorsmentioning

confidence: 99%

A review on microbial contaminants in stormwater runoff and outfalls: Potential health risks and mitigation strategies

Ahmed

Hamilton

Toze

et al. 2019

Science of The Total Environment

110

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Editor: Patricia HoldenDemands on global water supplies are increasing in response to the need to provide more food, water, and energy for a rapidly growing population. These water stressors are exacerbated by climate change, as well as the growth and urbanisation of industry and commerce. Consequently, urban water authorities around the globe are exploring alternative water sources to meet ever-increasing demands. These alternative sources are primarily treated sewage, stormwater, and groundwater. Stormwater including roof-harvested rainwater has been considered as an alternative water source for both potable and non-potable uses. One of the most significant issues concerning alternative water reuse is the public health risk associated with chemical and microbial contaminants. Several studies to date have quantified fecal indicators and pathogens in stormwater. Microbial source tracking (MST) approaches have also been used to determine the sources of fecal contamination in stormwater and receiving waters. This review paper summarizes occurrence and concentrations of fecal indicators, pathogens, and MST marker genes in urban stormwater. A section of the review highlights the removal of fecal indicators and pathogens through water sensitive urban design (WSUD) or Best Management Practices (BMPs). We also discuss approaches for assessing and mitigating health risks associated with stormwater, including a summary of existing quantitative microbial risk assessment (QMRA) models for potable and non-potable reuse of stormwater. Finally, the most critical research gaps are identified for formulating risk management strategies.Crown

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Section: Fecal Indicatorsmentioning

confidence: 99%

A review on microbial contaminants in stormwater runoff and outfalls: Potential health risks and mitigation strategies

Ahmed

Hamilton

Toze

et al. 2019

Science of The Total Environment

110

View full text Add to dashboard Cite

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“…Numerous studies have documented the impacts of urban run‐off on stream water quality. Regional case studies highlight increased loading to receiving streams of pollutants such as nutrients (Newcomer Johnson, Kaushal, Mayer, Smith, & Sivirichi, ), suspended solids (MacAvoy, Plank, Mucha, & Williamson, ), oil and grease (Sood, Sood, Bansal, & John, ), faecal coliform bacteria (Paule‐Mercado et al, ), trace metals (Ruchter & Sures, ), thermal energy (Sun, Yearsley, Voisin, & Lettenmaier, ), and salts (Corsi, De Cicco, Lutz, & Hirsch, ). These studies indicate elevated but highly variable concentrations of solutes in streams with several constituents surpassing public health standards, stressing aquatic biota, and potentially impairing any beneficial use of water resources in these landscapes.…”

Section: Introductionmentioning

confidence: 99%

Determination of subcatchment and watershed boundaries in a complex and highly urbanized landscape

Kayembe

Mitchell

2018

Hydrological Processes

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Urban development significantly alters the landscape by introducing widespread impervious surfaces, which quickly convey surface run‐off to streams via stormwater sewer networks, resulting in “flashy” hydrological responses. Here, we present the inadequacies of using raster‐based digital elevation models and flow‐direction algorithms to delineate large and highly urbanized watersheds and propose an alternative approach that accounts for the influence of anthropogenically modified land cover. We use a semi‐automated approach that incorporates conventional drainage networks into overland flow paths and define the maximal run‐off contributing area. In this approach, stormwater pipes are clustered according to their slope attributes, which define flow direction. Land areas drained by each cluster and contributing (or exporting) flow to a topographically delineated catchment were determined. These land masses were subsequently added or removed from the catchment, modifying both the shape and the size. Our results in a highly urbanized Toronto, Canada, area watershed indicate a moderate net increase in the directly connected watershed area by 3% relative to a topographically forced method; however, differences across three smaller scale subcatchments are greater. Compared to topographic delineation, the directly connected watershed areas of both the upper and middle subcatchments decrease by 5% and 8%, respectively, whereas the lower subcatchment area increases by 15%. This is directly related to subsurface storm sewer pipes that cross topographic boundaries. When directly connected subcatchment area is plotted against total streamflow and flashiness indices using this method, the coefficients of variation are greater (0.93 to 0.97) compared to the use of digital elevation model‐derived subcatchment areas (0.78 to 0.85). The accurate identification of watershed and subcatchment boundaries should incorporate ancillary data such as stormwater sewer networks and retention basin drainage areas to reduce water budget errors in urban systems.

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“…Galdino Pereira et al (41) also reported a possible association between conductivity and FIB in surface water in Brazil and concluded that the higher value of conductivity, indicating large amounts of ions, was associated with organic matter decomposition (rho ϭ 0.42; P Ͻ 0.05). The significant positive correlation between TDS and traditional fecal indicators could be due to the fact that TDS provides the suitable medium for microbial fecal indicators to grow, carrying supportive nutrients (27,42). A previous study conducted by Lian et al in tropical surface waters in Singapore in 2015 showed that there was no significant correlation between microbial fecal indicators, conductivity, and salinity (6).…”

Section: Resultsmentioning

confidence: 97%

“…For example, the occurrence of human viruses showed a distinct pattern determined by land cover for studies conducted in the Milwaukee River watershed, Michigan River, coastal rivers of southern California, and the Great Lakes (23)(24)(25)(26). Paule-Mercado et al (27) revealed that land use and anthropogenic activities influenced intraevent variability of FIB through multiple linear regression (MLR) models in different monitoring sites. However, the studies failed to quantify the land use categories into predictive variables to assess the relationship between indicators and land use (27,28).…”

Section: Importancementioning

confidence: 99%

“…Paule-Mercado et al (27) revealed that land use and anthropogenic activities influenced intraevent variability of FIB through multiple linear regression (MLR) models in different monitoring sites. However, the studies failed to quantify the land use categories into predictive variables to assess the relationship between indicators and land use (27,28).…”

Section: Importancementioning

confidence: 99%

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Occurrence of Traditional and Alternative Fecal Indicators in Tropical Urban Environments under Different Land Use Patterns

Saeidi

Trần³

et al. 2018

Appl Environ Microbiol

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This study evaluated the geospatial distribution of fecal indicator bacteria (FIB) (i.e., , spp.) and the alternative fecal indicator pepper mild mottle virus (PMMoV) in tropical freshwater environments under different land use patterns. Results show that the occurrence and concentration of microbial fecal indicators were higher for urban than for parkland-dominated areas, consistent with land use weightage. Significant positive correlations with traditional FIB indicate that PMMoV is a suitable indicator of fecal contamination in tropical catchments waters (0.549 ≤ rho ≤ 0.612; < 0.01). PMMoV exhibited a strong significant correlation with land use weightage (rho = 0.728; < 0.01) compared to traditional FIB (rho = 0.583; < 0.01). In addition, chemical tracers were also added to evaluate the potential relationships with microbial fecal indicators. The relationships between diverse variables (e.g., environmental parameters, land use coverage, and chemical tracers) and the occurrence of FIB and PMMoV were evaluated. By using stepwise multiple linear regression (MLR), the empirical experimental models substantiate the impact of land use patterns and anthropogenic activities on microbial water quality, and the output results of the empirical models may be able to predict the sources and transportation of human fecal pollution or sewage contamination. In addition, the high correlation between PMMoV data obtained from quantitative real-time PCR (qPCR) and viral metagenomics data supports the possibility of using viral metagenomics to relatively quantify specific microbial indicators for monitoring microbial water quality (0.588 ≤ rho ≤ 0.879; < 0.05). The results of this study may support the hypothesis of using PMMoV as an alternative indicator of human fecal contamination in tropical surface waters from the perspective of land use patterns. The predictive result of the occurrence of human fecal indicators with high accuracy may reflect the source and transportation of human fecal pollution, which are directly related to the risk to human health, and thereafter, steps can be taken to mitigate these risks.

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Monitoring and predicting the fecal indicator bacteria concentrations from agricultural, mixed land use and urban stormwater runoff

Cited by 77 publications

References 35 publications

A review on microbial contaminants in stormwater runoff and outfalls: Potential health risks and mitigation strategies

A review on microbial contaminants in stormwater runoff and outfalls: Potential health risks and mitigation strategies

Determination of subcatchment and watershed boundaries in a complex and highly urbanized landscape

Occurrence of Traditional and Alternative Fecal Indicators in Tropical Urban Environments under Different Land Use Patterns

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