Modelling daily and hourly loads of pharmaceuticals in urban wastewater.
Pharmaceuticals are known contaminants of the environment. Assessing and managing the risk associated to this contamination has become an important field of study in environmental sciences. Accurately sampling and measuring pharmaceuticals concentrations in wastewater or in the environment is still...
| Publicado en: | International Journal of Hygiene & Environmental Health Vol. 229 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier GmbH, Urban & Fischer Verlag
Aug2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=145631002&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 145631002 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14384639 NX6 jtl: International Journal of Hygiene & Environmental Health issn: 14384639 maglogo: N pubinfo: dt: Aug2020 vid: 229 pid: 24997 pub: Elsevier GmbH, Urban & Fischer Verlag place: London, <Blank> artinfo: ui: 145631002 145631002 NLM32535278 145631002 10.1016/j.ijheh.2020.113552 NLM32535278 145631002 ppct: 1 formats: tig: atl: Modelling daily and hourly loads of pharmaceuticals in urban wastewater. aug: au: Pouzol, Tanguy Lévi, Yves Bertrand-Krajewski, Jean-Luc affil: University of Lyon, INSA Lyon, DEEP, EA 7429, 11 rue de la Physique, F-69621, Villeurbanne cedex, France sug: subj: Environmental Pollutants Analysis Models, Theoretical Drugs Analysis Environmental Monitoring Human Urban Areas Comparative Studies Multicenter Studies Evaluation Research Validation Studies ab: Pharmaceuticals are known contaminants of the environment. Assessing and managing the risk associated to this contamination has become an important field of study in environmental sciences. Accurately sampling and measuring pharmaceuticals concentrations in wastewater or in the environment is still costly and difficult. Thus only a few studies have looked at the temporal variability of the concentrations. In parallel, models have been proposed to predict the occurrence of pharmaceuticals. They usually assume that the loads of pharmaceuticals entering a wastewater treatment plant (WWTP) are proportional to the pharmaceuticals sales. However, most of the time, the results are difficult to interpret. The main problem with those models is the lack of data at WWTP. In this context, a stochastic model predicting daily and hourly loads is proposed to better understand the processes influencing the occurrence of pharmaceuticals in wastewater. Using accurate statistical pharmaceutical sales data, the mass consumed daily in the catchment is randomly picked from empirical probability density functions. Then, patients are randomly generated until the picked total mass is reached. For each patient, posology, metabolism and excretion rates of pharmaceuticals to the sewer system are randomly generated according to relevant literature data. In particular, time-use data are used to generate the time-use of patients to pick the times when patients consume pharmaceuticals and also when they excrete them in toilets. Applied to 9 molecules in a French catchment, results show that the model accurately and reliably predicts both the daily and hourly loads of pharmaceuticals at the inlet of the WWTP. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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