Modelling of nearshore microbial water quality at confluence of a local tributary in Lake St. Clair

Madani, Mohammad; Seth, Rajesh; Valipour, Reza; León, Luis F. De; Hipsey, Matthew R.

doi:10.1016/j.jglr.2022.01.019

Cited by 4 publications

(1 citation statement)

References 29 publications

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“…Although MST_genBac did not show temporal significant differences ( p > 0.05) associated with SS, this target revealed the highest expression levels for any target throughout the seasons (mean values for spring = 5.75, summer = 5.04 and fall = 4.92 log copies/g), suggesting a continual concern of faecal contamination regardless of seasonal variations. As mentioned above, there was not a significant variation between SS from the tributaries compared with the lake, suggesting these adjacent watershed channels are important sources of suspended solids to the beaches, continually sourcing the nearshore zone with new sediment and microbiota and influencing the quality of water (Madani et al, 2022). These results may therefore suggest that SS represents a ubiquitous phase for microbial/pathogen dynamics within recreational waters by (1) representing the building blocks of bed sediment and an accelerated settling mechanism of microbes to the bed with subsequent and transient biofilm development; and/or (2) the transport mechanism via turbulence of recently eroded bed sediments and/or recently received SS/microbes via various means (e.g., river flow, ground water upwelling, direct surface wash‐off).…”

Section: Resultsmentioning

confidence: 99%

Microbe–sediment interactions in Great Lakes recreational waters: Implications for human health risk

VanMensel

Chaganti

Droppo

et al. 2023

Environmental Microbiology

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Microbial assessments of recreational water have traditionally focused on culturing or DNA‐based approaches of the planktonic water column, omitting influence from microbe–sediment relationships. Sediment (bed and suspended) has been shown to often harbour levels of bacteria higher than the planktonic phase. The fate of suspended sediment (SS) bacteria is extensively related to transport dynamics (e.g., deposition) of the associated sediment/floc. When hydraulic energy allows, SS will settle, introducing new (potentially pathogenic) organisms to the bed. With turbulence, including waves, currents and swimmers, the risk of human ingestion is elevated due to resuspension of bed sediment and associated microbes. This research used multiplex nanofluidic reverse transcriptase quantitative PCR on RNA of bacteria associated with bed and SS to explore the active bacteria in freshwater shorelines. Bacterial genes of human health concern regarding recreational water use were targeted, such as faecal indicator bacteria (FIB), microbial source tracking genes and virulence factors from waterborne pathogens. Results indicate avian sources (i.e., gulls, geese) to be the largest nonpoint source of FIB associated with sediment in Great Lakes shorelines. This research introduces a novel approach to microbial water quality assessments and enhances our understanding of microbe–sediment dynamics and the quality of freshwater beaches.

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Section: Resultsmentioning

confidence: 99%

Microbe–sediment interactions in Great Lakes recreational waters: Implications for human health risk

VanMensel

Chaganti

Droppo

et al. 2023

Environmental Microbiology

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Salinity management of reservoirs by linking hydrodynamic model, surrogate model, and evolutionary optimization

Sedighkia,

Datta

2024

Int. J. Environ. Sci. Technol.

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This study proposes a combined system for salinity management of reservoirs in which the lake ecosystem simulation is integrated with the reservoir operation optimization. A finite volume-based depth-averaged model is applied for simulating salinity in the reservoir for a long-term period. Then, a surrogate model is developed by applying outputs of the fluid dynamic model using adaptive neuro-fuzzy inference system. The surrogate model is used in the structure of the optimization model to estimate the average salinity concentration in the reservoir. Two objectives are defined in the reservoir operation optimization including minimizing water supply loss and mitigating salinity impacts on the aquatic habitats in the lake ecosystem. According to case study results, the fluid dynamic model is reliable for simulating salinity distribution in the reservoir, which means it is recommendable for simulating salinity distribution of reservoirs. Moreover, The Nash–Sutcliff coefficient of surrogate model is 0.79, which implies it is reliable for applying in the optimization model as a surrogate model of salinity. Based on the environmental considerations, 0.55 ppt was defined as the average threshold of habitat suitability. Average optimal salinity during the simulated period is 0.52 ppt, which implies the optimization model is able to reduce salinity impacts properly. We recommend using the proposed method for the case studies in which increasing salinity is an environmental challenge for the aquatic species those living in the artificial lakes of large dams.

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Modelling faecal microbe dynamics within stormwater constructed wetlands

Shi,

Jovanovic,

Meng

et al. 2024

Water Research

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Modelling of nearshore microbial water quality at confluence of a local tributary in Lake St. Clair

Cited by 4 publications

References 29 publications

Microbe–sediment interactions in Great Lakes recreational waters: Implications for human health risk

Microbe–sediment interactions in Great Lakes recreational waters: Implications for human health risk

Salinity management of reservoirs by linking hydrodynamic model, surrogate model, and evolutionary optimization

Modelling faecal microbe dynamics within stormwater constructed wetlands

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