Evaluation of a Prediction Model for Influent Pharmaceutical Concentrations

Ottmar, Karl J.; Colosi, Lisa M.; Smith, James A.

doi:10.1061/(asce)ee.1943-7870.0000701

Cited by 5 publications

(4 citation statements)

References 14 publications

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“…Additionally, Nadiri et al (2018) combined the Artificial Neural Network (ANN) model with the fuzzy logic time series models and used a supervised committee fuzzy logic (SCFL) model to predict various wastewater effluent quality parameters [4]. Moreover, Ottmar et al (2013) used the mass balance-based model to predict the concentrations of pharmaceuticals entering WWTPs in the United States [5]. The model concluded to be adequate to provide rough predictions of the drug influent concentrations, however some factors were speculated to have caused inaccuracy in the prediction results.…”

Section: Introductionmentioning

confidence: 99%

Influent Forecasting for Wastewater Treatment Plants in North America

Boyd

et al. 2019

Sustainability

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Autoregressive Integrated Moving Average (ARIMA) is a time series analysis model that can be dated back to 1955. It has been used in many different fields of study to analyze time series and forecast future data points; however, it has not been widely used to forecast daily wastewater influent flow. The objective of this study is to explore the possibility for wastewater treatment plants (WWTPs) to utilize ARIMA for daily influent flow forecasting. To pursue the objective confidently, five stations across North America are used to validate ARIMA’s performance. These stations include Woodward, Niagara, North Davis, and two confidential plants. The results demonstrate that ARIMA models can produce satisfactory daily influent flow forecasts. Considering the results of this study, ARIMA models could provide the operating engineers at both municipal and rural WWTPs with sufficient information to run the stations efficiently and thus, support wastewater management and planning at various levels within a watershed.

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Section: Introductionmentioning

confidence: 99%

Influent Forecasting for Wastewater Treatment Plants in North America

Boyd

et al. 2019

Sustainability

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“…The research by Ottmar et al (2013) attempted to evaluate a previously developed model for predicting influent concentrations of prescription pharmaceuticals and understand why some drugs are more accurately predicted than others. It also investigated the impact of demographics on influent drug concentrations in municipal WRRFs.…”

Section: Levels Of Seven Major Pfcas and Three Pfsasmentioning

confidence: 99%

Fate of Environmental Pollutants

Padhye

Tezel

2014

Water Environment Research

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A review of the literature published in 2013 on topics relating to the fate of emerging environmental pollutants during wastewater treatment is presented. This review is divided into the following sections: emerging biological agents, estrogens, metals, nanomaterials, nutrients, persistent organic pollutants, pharmaceuticals and personal care products and herbicide, and trace organic contaminants.

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“…The majority of ECs make their way into the environment through anthropogenic outlets such as wastewater discharge and land surface runoff. WWTPs are especially recognized for discharging measurable concentrations of ECs into receiving waters (Kolpin et al, 2002;Ying et al, 2002;Ottmar et al, 2010Ottmar et al, , 2013Jelić et al, 2012;Zhang et al, 2014;Matamoros et al, 2015). These contaminants are currently unregulated under the Safe Drinking Water Act at WWTPs, in part because they are so expensive to analyze and remove; but they are of significant interest to the water and wastewater treatment communities.…”

Section: Introductionmentioning

confidence: 99%

“…In this vein, there has been recent interest in the development of wastewater treatment technologies that are both net energy-generating and have the capacity to remove ECs (Zhang et al, 2014;Ottmar, 2010;Ottmar et al, 2013;McCarty et al, 2011;Steele et al, 2014;Peng and Colosi, 2016). The synergy between algae cultivation and sewage treatment is especially interesting considering that algae utilize nitrogen and phosphorus, which are costly nutrients for algae farms to supply, to undergo photosynthesis and WWTPs have an abundance of these nutrients and are required to remove them.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Algae-mediated Removal of Ciprofloxacin

Grimes¹

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In this thesis, bench-scale laboratory experiments were used to evaluate the efficacy of an algae-based treatment process to remove ciprofloxacin (CIPX), a highly-prescribed human and veterinary antibiotic for treatment of bacterial infections. As a result of its widespread use, CIPX has been frequently detected in wastewater treatment plant (WWTP) influents and effluents, but it is unknown to what extent its presence affects organisms in receiving waters and natural systems downstream. Previous studies have shown that algae are able to effectively remove estrogens from artificially spiked growth medium. Based on this observation, it is hypothesized that algae may also remove other priority emerging contaminants; e.g., antibiotics, including CIPX. If so, the integrated algae-treatment system could improve WWTP effluent water quality while also providing energy to the WWTP through anaerobic digestion of the algae biomass into methane-derived electricity.We examined the behavior and fate of CIPX under simulated algae cultivation conditions, using the model freshwater alga, Scenedesmus dimorphus. First, we analyzed biomass production of S. dimorphus during exposure to different concentrations of CIPX (0-5000 ng/L) over 192 hours. Interestingly, a dual effect was observed, whereby CIPX at an artificially high experimental concentration (5000 ng/L) was found to stimulate growth, while CIPX at lower environmentally relevant concentrations (0-600 ng/L) were found to inhibit cumulative algae growth. However, little to no impact on algae growth rate was observed within the first 24-48 hours of experimentation. Since it is anticipated that commercial-scale algaetreatment systems will use hydraulic residence times (HRT) on the order of 24 hours, the presence of CIPX in wastewater effluents is expected to have little to no observable impacts on algae productivity.2 Second, we examined removal of CIPX as mediated by S. dimorphus. Appropriate controls were used to assist in allocating apparent removal among several possible removal mechanisms reported in literature: sorption, photolysis (i.e., light-mediated transformation), and algae-mediated biotransformation. Results show an average of 65% removal of CIPX over 8 days, mostly occurring within the first 24 hours. In contrast, negligible CIPX removal was observed in "dark reactors" and "light controls." These data rule out CIPX disappearance as an experimental artifact, and suggest that photolysis is not a significant contributor to CIPX removal under algae cultivation conditions. Negligible CIPX removal was also observed in foil-wrapped controls comprising autoclave-inactivated (i.e., dead) algae. This suggests that sorption is also not a significant contributor to CIPX removal in this system. As such, CIPX removal under the tested conditions is dominated by biotransformation reactions mediated by active algae biomass. This is consistent with previous investigations of algae-mediated removal of steroid estrogens (17α-estradiol, 17β-estradiol, estrone, and estriol); m...

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Evaluation of a Prediction Model for Influent Pharmaceutical Concentrations

Cited by 5 publications

References 14 publications

Influent Forecasting for Wastewater Treatment Plants in North America

Influent Forecasting for Wastewater Treatment Plants in North America

Fate of Environmental Pollutants

Evaluating Algae-mediated Removal of Ciprofloxacin

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