Modeling the fecal coliform footprint in a Lake Michigan urban coastal area

Bravo, Héctor R.; McLellan, Sandra L.; Klump, J. Val; Hamidi, Sajad Ahmad; Talarczyk, Daniel

doi:10.1016/j.envsoft.2017.06.011

Cited by 19 publications

(20 citation statements)

References 15 publications

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“…Although there was bidirectional flow into and out of the river throughout the study period, after DOY 218, the average daily discharge remained negative. To better represent these dynamics, hourly inflow concentrations of bacteria and viruses at unsampled times at Trail Creek were estimated using probability distributions as reported previously (Bravo, Mclellan, Klump, Hamidi, & Talarczyk, 2017;Madani, Seth, Leon, Valipour, & McCrimmon, 2020). This method was described and examined in Safaie et al (2016), and additional details are included in the Supplemental Material.…”

Section: Coliphage and E Coli Fate And Transport Modelsmentioning

confidence: 99%

Modeling the photoinactivation and transport of somatic and F‐specific coliphages at a Great Lakes beach

et al. 2020

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Fecal indicator organisms (FIOs), such as Escherichia coli and enterococci, are often used as surrogates of contamination in the context of beach management; however, bacteriophages may be more reliable indicators than FIO due to their similarity to viral pathogens in terms of size and persistence in the environment. In the past, mechanistic modeling of environmental contamination has focused on FIOs, with virus and bacteriophage modeling efforts remaining limited. In this paper, we describe the development and application of a fate and transport model of somatic and F-specific coliphages for the Washington Park beach in Lake Michigan, which is affected by riverine outputs from the nearby Trail Creek. A three-dimensional model of coliphage transport and photoinactivation was tested and compared with a previously reported E. coli fate and transport model. The light-based inactivation of the phages was modeled using organism-specific action spectra. Results indicate that the coliphage models outperformed the E. coli model in terms of reliably predicting observed E. coli/coliphage concentrations at the beach. This is possibly due to the presence of additional E. coli sources that were not accounted for in the modeling. The coliphage models can be used to test hypotheses about potential sources and their behavior and for predictive modeling.

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Section: Coliphage and E Coli Fate And Transport Modelsmentioning

confidence: 99%

Modeling the photoinactivation and transport of somatic and F‐specific coliphages at a Great Lakes beach

et al. 2020

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“…This is reasonable as causal mechanisms are difficult to capture and physically based models may be onerous to implement when simply attempting to determine climatic influences on FC concentrations. Examples of sophisticated, physically-based models in the literature that predict bacterial levels as a function of environmental parameters include [29,40], but both look at transport in river systems. The latter did note that the sparsity in the time series of bacteria concentrations adversely affected the modelling [40].…”

Section: Introductionmentioning

confidence: 99%

“…The literature shows some consensus on the impact of land use on bacteria levels but the influence of climate variables remains contentious, particularly where the study focuses on stormwater runoff generation. Much of what is observed is likely due to site specificity and the scale of the sampling and analysis [40,45]. If agricultural areas are absent from the drainage area, bacteria loads in stormwater runoff generation are believed to be low and are thus, highly affected by sampling plans, which tend to be sparse and intermittent.…”

Section: Introductionmentioning

confidence: 99%

Climate and Land Use Influences on Bacteria Levels in Stormwater

Valeo

et al. 2019

Water

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The influence of climatic variables and land use on fecal coliform (FC) levels in stormwater collected from outfalls throughout southern Vancouver Island between 1995 and 2011 are examined through statistical analyses, Fourier analysis, Multiple Linear Regression (LR) and Multivariate Logistic Regression (MLR). Kendall’s τ-b demonstrated that FC levels were significantly and positively correlated with the amount of residential area within a drainage catchment generating the runoff, and that FC levels were location dependent. Climatic variables of temperature and antecedent dry period length were significantly and positively correlated with FC levels at both the sampling location level and across the region overall. Precipitation and flowrates were negatively correlated with FC levels. Fourier analysis showed that monthly FC levels shared the same 12 month cycle (peaking in July) as precipitation and temperature. MLR modelling was applied by aggregating the LogFC data by order of magnitude. The MLR model shows that the data are subject to different influences depending on the season and as well, the month of the year. The land use and climate analyses suggest that future climate change impact studies attempted on nearshore bacterial water quality should be conducted at the urban catchment scale.

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“…Such models can help us to know more clearly what exactly is behind the water quality changes and eutrophication and help lake managers select optimal control strategies. In past decades, many models and commercial software have been developed, including Finite Volume Coastal Ocean Model (FVCOM) [4], Princeton Ocean Model (POM) [5], Delft3D [6], Environmental Fluid Dynamics Code (EFDC) [7], and MIKE3 [8]. These models were initially developed for ocean modeling; nevertheless they have been widely used to study a variety of lake water issues, including lake water resources management [9], seasonal circulation, thermal structure [10,11], and harmful algal blooms [12,13].…”

Section: Introductionmentioning

confidence: 99%

An Integrated Graphic Modeling System for Three-Dimensional Hydrodynamic and Water Quality Simulation in Lakes

Huang

Tian

2019

IJGI

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Understanding the complex hydrodynamics and transport processes are of primary importance to alleviate and control the eutrophication problem in lakes. Numerical models are used to simulate these processes. However, it is often difficult to perform such a numerical modeling simulation for common users. This study presented an integrated graphic modeling system designed for three-dimensional hydrodynamic and water quality simulation in lakes. The system, called the Lake Modeling System (LMS), provides necessary functionalities streamlined for hydrodynamic modeling. The LMS provides a geographic information system (GIS)-based data processing framework to establish a model and provides capabilities for displaying model input and output information. The LMS also provides mapping and visualization tools to support the model development process. All of these features in a GIS-based framework makes the task of complex hydrodynamic and water quality modeling easier. The applicability of the LMS is demonstrated by a case study in Lake Donghu, which is a large urban lake in the middle reaches of the Yangtze River in China. The LMS was utilized to setup and calibrate a model for Lake Donghu. Then the model was used to study the effects of a water diversion project on the change in hydrodynamics and the water quality.

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Modeling the fecal coliform footprint in a Lake Michigan urban coastal area

Cited by 19 publications

References 15 publications

Modeling the photoinactivation and transport of somatic and F‐specific coliphages at a Great Lakes beach

Modeling the photoinactivation and transport of somatic and F‐specific coliphages at a Great Lakes beach

Climate and Land Use Influences on Bacteria Levels in Stormwater

An Integrated Graphic Modeling System for Three-Dimensional Hydrodynamic and Water Quality Simulation in Lakes

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