Literature DB >> 26437353

Risk assessment of down-the-drain chemicals at large spatial scales: Model development and application to contaminants originating from urban areas in the Saint Lawrence River Basin.

Günther Grill1, Usman Khan2, Bernhard Lehner3, Jim Nicell2, Joseph Ariwi3.   

Abstract

Chemicals released into freshwater systems threaten ecological functioning and may put aquatic life and the health of humans at risk. We developed a new contaminant fate model (CFM) that follows simple, well-established methodologies and is unique in its cross-border, seamless hydrological and geospatial framework, including lake routing, a critical component in northern environments. We validated the model using the pharmaceutical Carbamazepine and predicted eco-toxicological risk for 15 pharmaceuticals in the Saint-Lawrence River Basin, Canada. The results indicated negligible to low environmental risk for the majority of tested chemicals, while two pharmaceuticals showed elevated risk in up to 13% of rivers affected by municipal effluents. As an integrated model, our CFM is designed for application at very large scales with the primary goal of detecting high risk zones. In regulatory frameworks, it can help screen existing or new chemicals entering the market regarding their potential impact on human and environmental health. Due to its high geospatial resolution, our CFM can also facilitate the prioritization of actions, such as identifying regions where reducing contamination sources or upgrading treatment plants is most pertinent to achieve targeted pollutant removal or to protect drinking water resources.
Copyright © 2015 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Down-the-drain chemicals; Geo-spatial modeling; Large spatial scales; Pharmaceuticals; Risk assessment; Wastewater

Mesh:

Substances:

Year:  2015        PMID: 26437353     DOI: 10.1016/j.scitotenv.2015.09.100

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

1.  Box-Behnken design optimisation of a green novel nanobio-based reagent for rapid visualisation of latent fingerprints on wet, non-porous substrates.

Authors:  Aida Rasyidah Azman; Naji Arafat Mahat; Roswanira Abdul Wahab; Wan Azlina Ahmad; Jive Kasturi Puspanadan; Mohamad Afiq Mohamed Huri; Mohammad Rahim Kamaluddin; Dzulkiflee Ismail
Journal:  Biotechnol Lett       Date:  2021-01-03       Impact factor: 2.461

2.  Ecological Risk Assessment of Pharmaceuticals in the Transboundary Vecht River (Germany and The Netherlands).

Authors:  Daniel J Duarte; Gunnar Niebaum; Volker Lämmchen; Eri van Heijnsbergen; Rik Oldenkamp; Lucia Hernández-Leal; Heike Schmitt; Ad M J Ragas; Jörg Klasmeier
Journal:  Environ Toxicol Chem       Date:  2021-05-28       Impact factor: 4.218

3.  FLO1K, global maps of mean, maximum and minimum annual streamflow at 1 km resolution from 1960 through 2015.

Authors:  Valerio Barbarossa; Mark A J Huijbregts; Arthur H W Beusen; Hylke E Beck; Henry King; Aafke M Schipper
Journal:  Sci Data       Date:  2018-03-27       Impact factor: 6.444

4.  A High-Resolution Spatial Model to Predict Exposure to Pharmaceuticals in European Surface Waters: ePiE.

Authors:  Rik Oldenkamp; Selwyn Hoeks; Mirza Čengić; Valerio Barbarossa; Emily E Burns; Alistair B A Boxall; Ad M J Ragas
Journal:  Environ Sci Technol       Date:  2018-10-22       Impact factor: 9.028

5.  Environmental impact assessment of COVID-19 therapeutic solutions. A prospective analysis.

Authors:  José V Tarazona; Marta Martínez; María-Aránzazu Martínez; Arturo Anadón
Journal:  Sci Total Environ       Date:  2021-03-10       Impact factor: 7.963

  5 in total

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