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Furrer V, Mutzner L, Ort C, Singer H. Micropollutant concentration fluctuations in combined sewer overflows require short sampling intervals. WATER RESEARCH X 2023; 21:100202. [PMID: 38098880 PMCID: PMC10719572 DOI: 10.1016/j.wroa.2023.100202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 09/07/2023] [Accepted: 09/09/2023] [Indexed: 12/17/2023]
Abstract
Combined sewer overflows (CSOs) are an important pathway of organic micropollutants from urban areas to open water bodies. Understanding the temporal dynamics of these micropollutants during overflow events is crucial for applying appropriate sampling methods and implementing effective management strategies. Yet, little is known about the dynamics of micropollutants in CSOs, because most studies report concentrations from single grab samples or event mean concentrations (EMCs). With unique high temporal resolution measurements (3 min), we show the real dynamics of polar organic micropollutants in CSOs of one small (2,700 people: P) and one large (159,000 P) urban catchment, for two micropollutant categories: (i) 33 micropollutants in municipal wastewater and (ii) 13 micropollutants from urban surface runoff. The concentration dynamics depend on the substance source and the catchment size. Indoor substances such as pharmaceuticals show high temporal dynamics with changes of 1 to 2 orders of magnitude within 9 min in the CSO of the small catchment. In contrast, outdoor substances at the small catchment and all substances at the large catchment display considerably lower variation. We tested various time-proportional sampling strategies to assess the range of error when estimating EMCs. We recommend an interval of 3 min to capture the dynamics of indoor substances in CSOs from small catchments. The results highlight that both future monitoring campaigns and the planning and management of urban wet-weather treatment systems will benefit from high temporal sampling resolutions, not only to understand dynamics but also to minimize errors of estimated EMCs.
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Affiliation(s)
- Viviane Furrer
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600, Dübendorf, Switzerland
- Institute of Civil, Environmental and Geomatic Engineering, ETH Zürich, 8093, Zurich, Switzerland
| | - Lena Mutzner
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600, Dübendorf, Switzerland
| | - Christoph Ort
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600, Dübendorf, Switzerland
| | - Heinz Singer
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600, Dübendorf, Switzerland
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2
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Jia Y, Zheng F, Maier HR, Ostfeld A, Creaco E, Savic D, Langeveld J, Kapelan Z. Water quality modeling in sewer networks: Review and future research directions. WATER RESEARCH 2021; 202:117419. [PMID: 34274902 DOI: 10.1016/j.watres.2021.117419] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 04/20/2021] [Accepted: 07/04/2021] [Indexed: 06/13/2023]
Abstract
Urban sewer networks (SNs) are increasingly facing water quality issues as a result of many challenges, such as population growth, urbanization and climate change. A promising way to addressing these issues is by developing and using water quality models. Many of these models have been developed in recent years to facilitate the management of SNs. Given the proliferation of different water quality models and the promise they have shown, it is timely to assess the state-of-the-art in this field, to identify potential challenges and suggest future research directions. In this review, model types, modeled quality parameters, modeling purpose, data availability, type of case studies and model performance evaluation are critically analyzed and discussed based on a review of 110 papers published between 2010 and 2019. The review identified that applications of empirical and kinetic models dominate those of data-driven models for addressing water quality issues. The majority of models are developed for prediction and process understanding using experimental or field sampled data. While many models have been applied to real problems, the corresponding prediction accuracies are overall moderate or, in some cases, low, especially when dealing with larger SNs. The review also identified the most common issues associated with water quality modeling of SNs and based on these proposed several future research directions. These include the identification of appropriate data resolutions for the development of different SN models, the need and opportunity to develop hybrid SN models and the improvement of SN model transferability.
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Affiliation(s)
- Yueyi Jia
- College of Civil Engineering and Architecture, Zhejiang University, China.
| | - Feifei Zheng
- College of Civil Engineering and Architecture, Anzhong Building, Zijingang Campus, Zhejiang University, Zhejiang University, A501, , 866 Yuhangtang Rd, Hangzhou 310058, China.
| | - Holger R Maier
- School of Civil, Environmental and Mining Engineering, The University of Adelaide, Australia.
| | - Avi Ostfeld
- Civil and Environmental Engineering, Technion-Israel Institute of Technology, Haifa 32000, Israel.
| | - Enrico Creaco
- Dipartimento di Ingegneria Civile e Architettura, University of Pavia, Via Ferrata 3 Pavia 27100, Italy; School of Civil, Environmental and Mining Engineering, The University of Adelaide, Australia.
| | - Dragan Savic
- KWR Water Research Institute, the Netherlands; Centre for Water Systems, University of Exeter, United Kingdom; Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Malaysia.
| | - Jeroen Langeveld
- Faculty of Civil Engineering and Geosciences, Delft University of Technology, the Netherlands.
| | - Zoran Kapelan
- Faculty of Civil Engineering and Geosciences, Department of Water Management, Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands; Centre for Water Systems, University of Exeter, North Park Road, Exeter EX4 4QF, United Kingdom.
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3
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Pugajeva I, Ikkere LE, Jansons M, Perkons I, Sukajeva V, Bartkevics V. Two-dimensional liquid chromatography - mass spectrometry as an effective tool for assessing a wide range of pharmaceuticals and biomarkers in wastewater-based epidemiology studies. J Pharm Biomed Anal 2021; 205:114295. [PMID: 34364149 DOI: 10.1016/j.jpba.2021.114295] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 07/27/2021] [Accepted: 07/28/2021] [Indexed: 12/14/2022]
Abstract
The biomarkers used in wastewater-based epidemiology studies have a wide range of physicochemical properties, making simultaneous analysis extremely challenging or even impossible. So far, the majority of analytical procedures employed in this field have focused on specific classes or a limited number of analytes. The heart-cutting two-dimensional liquid chromatography tandem mass spectrometry technique (2D-LC-MS/MS) has enabled the incorporation of compounds with significantly different polarities in a single analytical method. In this study, a 2D-LC-MS/MS method has been developed and optimized for the simultaneous analysis of various biomarkers in wastewater, providing relevant information about lifestyle habits (the usage of alcohol, tobacco, and caffeine), health and well-being (pharmaceuticals), and a population size biomarker (5-HIAA) that is useful for correct calculation of human population during wastewater-based epidemiology studies. A single-laboratory validation procedure showed satisfactory analytical performance, with the mean trueness for most compounds falling in the range of 80÷110 % and the mean repeatability being less than 20 %. The applicability of the method was evaluated by testing 28 wastewater samples collected at different wastewater treatment plants in Latvia. The obtained results revealed the occurrence of 44 out of 62 selected biomarkers, with the lowest quantified concentration at 1.1 ng L-1 in the case of xylometazoline and up to 148 μg L-1 in the case of metformin and 156 μg L-1 for caffeine.
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Affiliation(s)
- Iveta Pugajeva
- Institute of Food Safety, Animal Health and Environment "BIOR", Lejupes iela 3, Riga, LV-1076, Latvia.
| | - Laura Elina Ikkere
- Institute of Food Safety, Animal Health and Environment "BIOR", Lejupes iela 3, Riga, LV-1076, Latvia
| | - Martins Jansons
- Institute of Food Safety, Animal Health and Environment "BIOR", Lejupes iela 3, Riga, LV-1076, Latvia
| | - Ingus Perkons
- Institute of Food Safety, Animal Health and Environment "BIOR", Lejupes iela 3, Riga, LV-1076, Latvia
| | - Veronika Sukajeva
- Institute of Food Safety, Animal Health and Environment "BIOR", Lejupes iela 3, Riga, LV-1076, Latvia
| | - Vadims Bartkevics
- Institute of Food Safety, Animal Health and Environment "BIOR", Lejupes iela 3, Riga, LV-1076, Latvia
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Escolà Casas M, Schröter NS, Zammit I, Castaño-Trias M, Rodriguez-Mozaz S, Gago-Ferrero P, Corominas L. Showcasing the potential of wastewater-based epidemiology to track pharmaceuticals consumption in cities: Comparison against prescription data collected at fine spatial resolution. ENVIRONMENT INTERNATIONAL 2021; 150:106404. [PMID: 33578067 DOI: 10.1016/j.envint.2021.106404] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 12/11/2020] [Accepted: 01/15/2021] [Indexed: 05/13/2023]
Abstract
While the extent of pharmaceutical consumption within a society/community is of high relevance to its health, economy and general wellbeing, this data is often not readily available. Herein, we strengthen a wastewater-based epidemiology (WBE) approach as a way to track the consumption of pharmaceuticals within the sampled community. This method is less laborious than established questionnaire or databases approaches and allows a higher temporal and spatial resolution. The WBE approach was conducted by sampling influent wastewater from two wastewater treatment plants of different size. A total of 39 targeted compounds were quantified by liquid chromatography coupled with tandem mass spectrometry. The number of prescriptions and the defined daily doses for each prescription was obtained from the reference database of The Catalan Health System to validate the wastewater-based approach. The wastewater sampling and the data inquiry were both executed during the same period (October 2019) and standardised for comparison to treatments per 1,000 inhabitants per day. The back-calculation parameters were improved from previous studies by including the faecal excretion rate of the pharmaceuticals. For prescription only pharmaceuticals, where prescription numbers are expected to be a good estimate of consumption, our WBE approach agreed with 27 out of 32 (<0.7 order of magnitude). Common over-the-counter pharmaceuticals such as acetaminophen, ibuprofen and naproxen showed much higher values for treatments per day per 1,000 inhabitant in wastewater than prescribed, reflecting the usefulness of WBE in obtaining an estimate of the total consumption i.e. with and without a prescription.
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Affiliation(s)
- M Escolà Casas
- Catalan Institute for Water Research (ICRA), Emili Grahit 101, 17003 Girona, Spain; Universitat de Girona, Plaça de Sant Domènec 3, 17004 Girona, Spain
| | - N S Schröter
- Catalan Institute for Water Research (ICRA), Emili Grahit 101, 17003 Girona, Spain; Universitat de Girona, Plaça de Sant Domènec 3, 17004 Girona, Spain; Forensic Science of the Institute for Interdisciplinary Studies (IIS) of the Faculty of Science, Universiteit van Amsterdam, Science Park 904, 1098XH Amsterdam, the Netherlands
| | - I Zammit
- Catalan Institute for Water Research (ICRA), Emili Grahit 101, 17003 Girona, Spain; Universitat de Girona, Plaça de Sant Domènec 3, 17004 Girona, Spain
| | - M Castaño-Trias
- Catalan Institute for Water Research (ICRA), Emili Grahit 101, 17003 Girona, Spain; Universitat de Girona, Plaça de Sant Domènec 3, 17004 Girona, Spain
| | - S Rodriguez-Mozaz
- Catalan Institute for Water Research (ICRA), Emili Grahit 101, 17003 Girona, Spain; Universitat de Girona, Plaça de Sant Domènec 3, 17004 Girona, Spain
| | - P Gago-Ferrero
- Catalan Institute for Water Research (ICRA), Emili Grahit 101, 17003 Girona, Spain; Universitat de Girona, Plaça de Sant Domènec 3, 17004 Girona, Spain
| | - Ll Corominas
- Catalan Institute for Water Research (ICRA), Emili Grahit 101, 17003 Girona, Spain; Universitat de Girona, Plaça de Sant Domènec 3, 17004 Girona, Spain.
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Branchet P, Arpin-Pont L, Piram A, Boissery P, Wong-Wah-Chung P, Doumenq P. Pharmaceuticals in the marine environment: What are the present challenges in their monitoring? THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 766:142644. [PMID: 33077207 DOI: 10.1016/j.scitotenv.2020.142644] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 09/23/2020] [Accepted: 09/24/2020] [Indexed: 06/11/2023]
Abstract
During the last years, there has been a growing interest in the research focused on the pharmaceutical residues in the environment. Those compounds have been recognized as a possible threat to aquatic ecosystems, due to their inherent biological activity and their "pseudo-persistence". Their presence has been relatively few investigated in the marine environment, though it is the last receiver of the continental contamination. Thus, pharmaceuticals monitoring data in marine waters are necessary to assess water quality and to allow enhancing future regulations and management decisions. A review of the current practices and challenges in monitoring strategies of pharmaceuticals in marine matrices (water, sediment and biota) is provided through the analysis of the available recent scientific literature. Key points are highlighted for the different steps of marine waters monitoring as features to consider for the targeted substance selection, the choice of the marine site configuration and sampling strategies to determine spatio-temporal trends of the contamination. Some marine environment specific features, such as the strong dilution occurring, the complex hydrodynamic and local logistical constraints are making this monitoring a very difficult and demanding task. Thus key knowledge gap priorities for future research are identified and discussed. Suitable passive samplers to monitor pharmaceutical seawater levels need further development and harmonization. Non-target analysis approaches would be promising to understand the fate of the targeted molecules and to enhance the list of substances to analyze. The implementation of integrated monitoring through long-term ecotoxicological tests on sensitive marine species at environmental levels would permit to better assess the ecological risk of these compounds for the marine ecosystems.
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Affiliation(s)
- Perrine Branchet
- Aix Marseille University, CNRS, LCE, Bâtiment Villemin BP80, 13545 Aix-en-Provence Cedex 4, France.
| | - Lauren Arpin-Pont
- Aix Marseille University, CNRS, LCE, Bâtiment Villemin BP80, 13545 Aix-en-Provence Cedex 4, France
| | - Anne Piram
- Aix Marseille University, CNRS, LCE, Bâtiment Villemin BP80, 13545 Aix-en-Provence Cedex 4, France.
| | - Pierre Boissery
- Agence de l'Eau Rhône Méditerranée Corse, 2, street Henri Barbusse, CS 90464, 13207 Marseille Cedex 01, France
| | - Pascal Wong-Wah-Chung
- Aix Marseille University, CNRS, LCE, Bâtiment Villemin BP80, 13545 Aix-en-Provence Cedex 4, France
| | - Pierre Doumenq
- Aix Marseille University, CNRS, LCE, Bâtiment Villemin BP80, 13545 Aix-en-Provence Cedex 4, France
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Holcomb D, Palli L, Setty K, Uprety S. Water and health seminar and special issue highlight ideas that will change the field. Int J Hyg Environ Health 2021; 234:113716. [PMID: 33639583 DOI: 10.1016/j.ijheh.2021.113716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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7
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Holcomb D, Palli L, Setty K, Uprety S. Water and health seminar and special issue highlight ideas that will change the field. Int J Hyg Environ Health 2021; 226:113529. [PMID: 32307040 DOI: 10.1016/j.ijheh.2020.113529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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8
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Delli Compagni R, Polesel F, von Borries KJF, Zhang Z, Turolla A, Antonelli M, Vezzaro L. Modelling the fate of micropollutants in integrated urban wastewater systems: Extending the applicability to pharmaceuticals. WATER RESEARCH 2020; 184:116097. [PMID: 32911442 DOI: 10.1016/j.watres.2020.116097] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 06/19/2020] [Accepted: 06/20/2020] [Indexed: 06/11/2023]
Abstract
Pharmaceutical active compounds (PhACs) are a category of micropollutants frequently detected across integrated urban wastewater systems. Existing modelling tools supporting the evaluation of micropollutant fate in such complex systems, such as the IUWS_MP model library (which acronym IUWS stands for Integrated Urban Wastewater System), do not consider fate processes and fractions that are typical for PhACs. This limitation was overcome by extending the existing IUWS_MP model library with new fractions (conjugated metabolites, sequestrated fraction) and processes (consumption-excretion, deconjugation). The performance of the extended library was evaluated for five PhACs (carbamazepine, ibuprofen, diclofenac, paracetamol, furosemide) in two different integrated urban wastewater systems where measurements were available. Despite data uncertainty and the simplicity of the modelling approach, chosen to minimize data requirements, model prediction uncertainty overlapped with the measurements ranges across both systems, stressing the robustness of the proposed modelling approach. Possible applications of the extended IUWS_MP model library are presented, illustrating how this tool can support urban water managers in reducing environmental impacts from PhACs discharges.
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Affiliation(s)
- Riccardo Delli Compagni
- Department of Civil and Environment Engineering (DICA), Politecnico di Milano, Piazza Leonardo da Vinci 32, 20129, Milan, Italy.
| | - Fabio Polesel
- DTU Environment, Technical University of Denmark, Bygningstorvet, Building 115, 2800, Kongens Lyngby, Denmark; DHI A/S, Agern Allé 5, 2970, Hørsholm, Denmark
| | - Kerstin J F von Borries
- DTU Environment, Technical University of Denmark, Bygningstorvet, Building 115, 2800, Kongens Lyngby, Denmark
| | - Zhen Zhang
- DTU Environment, Technical University of Denmark, Bygningstorvet, Building 115, 2800, Kongens Lyngby, Denmark
| | - Andrea Turolla
- Department of Civil and Environment Engineering (DICA), Politecnico di Milano, Piazza Leonardo da Vinci 32, 20129, Milan, Italy
| | - Manuela Antonelli
- Department of Civil and Environment Engineering (DICA), Politecnico di Milano, Piazza Leonardo da Vinci 32, 20129, Milan, Italy.
| | - Luca Vezzaro
- DTU Environment, Technical University of Denmark, Bygningstorvet, Building 115, 2800, Kongens Lyngby, Denmark.
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Medema G, Been F, Heijnen L, Petterson S. Implementation of environmental surveillance for SARS-CoV-2 virus to support public health decisions: Opportunities and challenges. CURRENT OPINION IN ENVIRONMENTAL SCIENCE & HEALTH 2020; 17:49-71. [PMID: 33024908 PMCID: PMC7528975 DOI: 10.1016/j.coesh.2020.09.006] [Citation(s) in RCA: 207] [Impact Index Per Article: 51.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Analysing wastewater can be used to track infectious disease agents that are shed via stool and urine. Sewage surveillance of SARS-CoV-2 has been suggested as a tool to determine the extent of COVID-19 in cities and serve as an early warning for (re-)emergence of SARS-CoV-2 circulation in communities. The focus of this review is on the strength of evidence, opportunities and challenges for the application of sewage surveillance to inform public health decision making. Considerations for undertaking sampling programs are reviewed including sampling sites, strategies, sample transport, storage and quantification methods; together with the approach and evidence base for quantifying prevalence of infection from measured wastewater concentration. Published SARS-CoV-2 sewage surveillance studies (11 peer reviewed and 10 preprints) were reviewed to demonstrate the current status of implementation to support public health decisions. Although being very promising, a number of areas were identified requiring additional research to further strengthen this approach and take full advantage of its potential. In particular, design of adequate sampling strategies, spatial and temporal resolution of sampling, sample storage, replicate sampling and analysis, controls for the molecular methods used for the quantification of SARS-CoV-2 RNA in wastewater. The use of appropriate prevalence data and methods to correlate or even translate SARS-CoV-2 concentrations in wastewater to prevalence of virus shedders in the population is discussed.
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Affiliation(s)
- Gertjan Medema
- KWR Water Research Institute, Groningenhaven 7, Nieuwegein, 3433 PE, the Netherlands
- Delft University of Technology, Stevinweg 1, Delft, 2628 CN, the Netherlands
- Michigan State University, 1405 S Harrison Rd, East-Lansing, Michigan, 48823, USA
| | - Frederic Been
- KWR Water Research Institute, Groningenhaven 7, Nieuwegein, 3433 PE, the Netherlands
| | - Leo Heijnen
- KWR Water Research Institute, Groningenhaven 7, Nieuwegein, 3433 PE, the Netherlands
| | - Susan Petterson
- Water & Health Pty Ltd, North Sydney, 2060, Australia
- School of Medicine, Griffith University, Parklands Drive, Gold Coast, Australia
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