Wastewater Collection Systems

Vallabhaneni, Srinivas

doi:10.2175/106143018x15289915807065

Cited by 2 publications

(3 citation statements)

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“…Biosensors are highly sensitive and selective tools for the analysis of sewage biomarkers due to their ease-of-use, low cost, and rapid analysis. [ 2 ] These small devices utilize biochemical reactions mediated by a biological receptor recognition element, such as nucleic acids, antibodies, enzymes, and microorganisms, to detect targets based on optical, electrical, and thermal signals [ 74 ]. Traditional collection methods requiring on-site data acquisition are labor intensive.…”

Section: Methamphetamine and Stimulant Assay Developmentmentioning

confidence: 99%

“…The first wastewater treatment plant to develop chemical precipitation was in Worcester, Massachusetts, in 1890. Modern-day closed sanitary sewers are composed of elaborate underground pipes or tunnel systems for transporting sewage from houses and buildings to wastewater treatment facilities [ 2 ]. Sanitary sewers are part of an overall system called a sewage system or sewerage.…”

Section: Introductionmentioning

confidence: 99%

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“Waste Not, Want Not” — Leveraging Sewer Systems and Wastewater-Based Epidemiology for Drug Use Trends and Pharmaceutical Monitoring

Erickson

Endo²,

Duvallet³

et al. 2021

J. Med. Toxicol.

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During the current global COVID-19 pandemic and opioid epidemic, wastewater-based epidemiology (WBE) has emerged as a powerful tool for monitoring public health trends by analysis of biomarkers including drugs, chemicals, and pathogens. Wastewater surveillance downstream at wastewater treatment plants provides large-scale population and regional-scale aggregation while upstream surveillance monitors locations at the neighborhood level with more precise geographic analysis. WBE can provide insights into dynamic drug consumption trends as well as environmental and toxicological contaminants. Applications of WBE include monitoring policy changes with cannabinoid legalization, tracking emerging illicit drugs, and early warning systems for potent fentanyl analogues along with the resurging wave of stimulants (e.g., methamphetamine, cocaine). Beyond drug consumption, WBE can also be used to monitor pharmaceuticals and their metabolites, including antidepressants and antipsychotics. In this manuscript, we describe the basic tenets and techniques of WBE, review its current application among drugs of abuse, and propose methods to scale and develop both monitoring and early warning systems with respect to measurement of illicit drugs and pharmaceuticals. We propose new frontiers in toxicological research with wastewater surveillance including assessment of medication assisted treatment of opioid use disorder (e.g., buprenorphine, methadone) in the context of other social burdens like COVID-19 disease.

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Section: Methamphetamine and Stimulant Assay Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“Waste Not, Want Not” — Leveraging Sewer Systems and Wastewater-Based Epidemiology for Drug Use Trends and Pharmaceutical Monitoring

Erickson

Endo²,

Duvallet³

et al. 2021

J. Med. Toxicol.

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“…Sewer system design has several aspects to be considered (Vallabhaneni, 2017(Vallabhaneni, , 2018) that among those, cost optimization of sewer system design (Brand & Ostfeld, 2011;Rep, Kompare, Rosˇ, & Kravanja, 2008) and sedimentation (Camp, 1946;Walski, Edwards, Helfer, & Whitman, 2009) have attracted interest of many researchers. Self-cleansing design of sewer systems is a reliable way for solving the sedimentation problems.…”

Section: Introductionmentioning

confidence: 99%

Self‐cleansing design of sewers: Definition of the optimum deposited bed thickness

Safari

Shirzad

2019

Water Environment Research

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Sediment deposits may influence the performance of the sewer systems. Sediments are the main store of pollutants which causes sewer systems overflows. In order to prevent the deposition of sediment in sewer systems, self‐cleansing design criteria are used. Among various criteria, “self‐cleansing with deposited bed” criterion is found appropriate for designing of large sewers. Allowing small thickness of deposited bed in large sewers decreases the required channel bed slope and construction costs. This study presents a bed load self‐cleansing model established on wide ranges of experimental data. Comparison of developed model with the existing models in the literature shows its higher performance on variety of data sources. Examples for the application of the model are presented, and design graphs and charts for different pipe sizes are proposed. As a result, the optimum deposited bed thickness is found 1%–5% of the pipe diameter; however, 1% is recommended for sewer pipes design. Practitioner points Nondeposition sediment transport condition with a bed deposit criterion is found appropriate for large sewer pipe design. The precision of a model is linked to the ranges of experimental data and parameters used for the models development. The optimum range of deposited bed thickness can be adopted in the range of 1% to 5% of the pipe diameter.

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Wastewater Collection Systems

Cited by 2 publications

References 1 publication

“Waste Not, Want Not” — Leveraging Sewer Systems and Wastewater-Based Epidemiology for Drug Use Trends and Pharmaceutical Monitoring

“Waste Not, Want Not” — Leveraging Sewer Systems and Wastewater-Based Epidemiology for Drug Use Trends and Pharmaceutical Monitoring

Self‐cleansing design of sewers: Definition of the optimum deposited bed thickness

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