Parametric Study of Fate and Transport Model of
            <i>E. coli</i>
            in the Nearshore Region of Southern Lake Michigan

Liu, Lubo; Fu, Xudong; Wang, Guangqian

doi:10.1061/(asce)ee.1943-7870.0000745

Cited by 5 publications

(4 citation statements)

References 15 publications

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“…Using the Model To Design Treatment Wetlands. Additional work is needed to more comprehensively assess the variability of the model inputs and the sensitivity of the model to a range of field conditions (e.g., see the paper by Liu et al 42 ). Nonetheless, the current inactivation rate model can be used to provide insight into wetland design.…”

Section: Environmental Science and Technologymentioning

confidence: 99%

Sunlight Inactivation of Viruses in Open-Water Unit Process Treatment Wetlands: Modeling Endogenous and Exogenous Inactivation Rates

Silverman

Nguyen

Schilling

et al. 2015

Environ. Sci. Technol.

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Sunlight inactivation is an important mode of disinfection for viruses in surface waters. In constructed wetlands, for example, open-water cells can be used to promote sunlight disinfection and remove pathogenic viruses from wastewater. To aid in the design of these systems, we developed predictive models of virus attenuation that account for endogenous and exogenous sunlight-mediated inactivation mechanisms. Inactivation rate models were developed for two viruses, MS2 and poliovirus type 3; laboratory- and field-scale experiments were conducted to evaluate the models' ability to estimate inactivation rates in a pilot-scale, open-water, unit-process wetland cell. Endogenous inactivation rates were modeled using either photoaction spectra or total, incident UVB irradiance. Exogenous inactivation rates were modeled on the basis of virus susceptibilities to singlet oxygen. Results from both laboratory- and field-scale experiments showed good agreement between measured and modeled inactivation rates. The modeling approach presented here can be applied to any sunlit surface water and utilizes easily measured inputs such as depth, solar irradiance, water matrix absorbance, singlet oxygen concentration, and the virus-specific apparent second-order rate constant with singlet oxygen (k2). Interestingly, the MS2 k2 in the open-water wetland was found to be significantly larger than k2 observed in other waters in previous studies. Examples of how the model can be used to design and optimize natural treatment systems for virus inactivation are provided.

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Section: Environmental Science and Technologymentioning

confidence: 99%

Sunlight Inactivation of Viruses in Open-Water Unit Process Treatment Wetlands: Modeling Endogenous and Exogenous Inactivation Rates

Silverman

Nguyen

Schilling

et al. 2015

Environ. Sci. Technol.

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show abstract

“…A majority of existing models use some version of this formulation to determine base mortality rate of microorganisms in natural waters (Table 1). Notable exceptions were found in models from Liu et al [80], McCorquodale et al [81], Hipsey et al [21], Rehmann and Soupir [78], Servais et al [82,83], and de Brauwere et al [84]. Rather than using a dark mortality rate to calculate base mortality, Liu et al [80] use the time to inactivate 90% of microorganisms in the dark (t 90 ).…”

Section: Dark Mortality Base Mortality and Temperature/salinity Depen...mentioning

confidence: 99%

“…Notable exceptions were found in models from Liu et al [80], McCorquodale et al [81], Hipsey et al [21], Rehmann and Soupir [78], Servais et al [82,83], and de Brauwere et al [84]. Rather than using a dark mortality rate to calculate base mortality, Liu et al [80] use the time to inactivate 90% of microorganisms in the dark (t 90 ). McCorquodale et al [81] use a curve-fitting procedure on field-collected data to determine the impact of salinity on base mortality.…”

Section: Dark Mortality Base Mortality and Temperature/salinity Depen...mentioning

confidence: 99%

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Numerical Modeling of Microbial Fate and Transport in Natural Waters: Review and Implications for Normal and Extreme Storm Events

Weiskerger

Phanikumar

2020

Water

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Degradation of water quality in recreational areas can be a substantial public health concern. Models can help beach managers make contemporaneous decisions to protect public health at recreational areas, via the use of microbial fate and transport simulation. Approaches to modeling microbial fate and transport vary widely in response to local hydrometeorological contexts, but many parameterizations include terms for base mortality, solar inactivation, and sedimentation of microbial contaminants. Models using these parameterizations can predict up to 87% of variation in observed microbial concentrations in nearshore water, with root mean squared errors ranging from 0.41 to 5.37 log10 Colony Forming Units (CFU) 100 mL−1. This indicates that some models predict microbial fate and transport more reliably than others and that there remains room for model improvement across the board. Model refinement will be integral to microbial fate and transport simulation in the face of less readily observable processes affecting water quality in nearshore areas. Management of contamination phenomena such as the release of storm-associated river plumes and the exchange of contaminants between water and sand at the beach can benefit greatly from optimized fate and transport modeling in the absence of directly observable data.

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2021

Water‐Quality Engineering in Natural Systems

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Parametric Study of Fate and Transport Model of E. coli in the Nearshore Region of Southern Lake Michigan

Cited by 5 publications

References 15 publications

Sunlight Inactivation of Viruses in Open-Water Unit Process Treatment Wetlands: Modeling Endogenous and Exogenous Inactivation Rates

Sunlight Inactivation of Viruses in Open-Water Unit Process Treatment Wetlands: Modeling Endogenous and Exogenous Inactivation Rates

Numerical Modeling of Microbial Fate and Transport in Natural Waters: Review and Implications for Normal and Extreme Storm Events

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