A multi-scenario risk assessment strategy applied to mixtures of chemicals of emerging concern in the River Aconcagua basin in Central Chile
| dc.contributor.affiliation | University of Gothenburg | |
| dc.contributor.affiliation | RWTH Aachen University | |
| dc.contributor.affiliation | Universidad de Las Americas - Chile | |
| dc.contributor.affiliation | Helmholtz Association | |
| dc.contributor.affiliation | Helmholtz Center for Environmental Research (UFZ) | |
| dc.contributor.author | Inostroza, Pedro A. | |
| dc.contributor.author | Elgueta, Sebastian | |
| dc.contributor.author | Krauss, Martin | |
| dc.contributor.author | Brack, Werner | |
| dc.contributor.author | Backhaus, Thomas | |
| dc.date.accessioned | 2025-04-22T18:57:47Z | |
| dc.date.available | 2025-04-22T18:57:47Z | |
| dc.date.issued | 2024-04 | |
| dc.description.abstract | Environmental risk assessments strategies that account for the complexity of exposures are needed in order to evaluate the toxic pressure of emerging chemicals, which also provide suggestions for risk mitigation and management, if necessary. Currently, most studies on the co-occurrence and environmental impacts of chemicals of emerging concern (CECs) are conducted in countries of the Global North, leaving massive knowledge gaps in countries of the Global South. In this study, we implement a multi-scenario risk assessment strategy to improve the assessment of both the exposure and hazard components in the chemical risk assessment process. Our strategy incorporates a systematic consideration and weighting of CECs that were not detected, as well as an evaluation of the uncertainties associated with Quantitative Structure-Activity Relationships (QSARs) predictions for chronic ecotoxicity. Furthermore, we present a novel approach to identifying mixture risk drivers. To expand our knowledge beyond well-studied aquatic ecosystems, we applied this multi-scenario strategy to the River Aconcagua basin of Central Chile. The analysis revealed that the concentrations of CECs exceeded acceptable risk thresholds for selected organism groups and the most vulnerable taxonomic groups. Streams flowing through agricultural areas and sites near the river mouth exhibited the highest risks. Notably, the eight risk drivers among the 153 co-occurring chemicals accounted for 66-92 % of the observed risks in the river basin. Six of them are pesticides and pharmaceuticals, chemical classes known for their high biological activity in specific target organisms. | |
| dc.description.sponsorship | FRAM Centre for Future Chemical Risk Assessment and Management at the University of Gothenburg; ANID Project [FOVI 230197]; Helmholtz Association; We thank Alba Lopez Mangas and Monica del Aguila for fieldwork support, Margit Petre and Jorg Ahleim (UFZ) for LVSPE training as well as cartridge extractions. This work was supported by the FRAM Centre for Future Chemical Risk Assessment and Management at the University of Gothenburg and ANID Project FOVI 230197. The QExactive Plus LC- HRMS used at UFZ is part of the major infrastructure initiative CITEPro (Chemicals in the Terrestrial Environment Profiler) funded by the Helmholtz Association. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | Science of the Total Environment, 921, 171054. https://doi.org/10.1016/j.scitotenv.2024.171054 | |
| dc.identifier.doi | https://doi.org/10.1016/j.scitotenv.2024.171054 | |
| dc.identifier.folio | 230197 | |
| dc.identifier.issn | 0048-9697 | |
| dc.identifier.orcid | https://orcid.org/0000-0002-0362-4244 | |
| dc.identifier.pmid | 38378069 | |
| dc.identifier.researcherid | E-7375-2014 | |
| dc.identifier.researcherid | KSM-6727-2024 | |
| dc.identifier.researcherid | E-1672-2012 | |
| dc.identifier.researcherid | MCJ-3502-2025 | |
| dc.identifier.ror | https://ror.org/01tm6cn81 | |
| dc.identifier.ror | https://ror.org/04xfq0f34 | |
| dc.identifier.ror | https://ror.org/002kg1049 | |
| dc.identifier.ror | https://ror.org/0166e9x11 | |
| dc.identifier.ror | https://ror.org/000h6jb29 | |
| dc.identifier.ror | https://ror.org/04cvxnb49 | |
| dc.identifier.scopusauthorid | 35069490000 | |
| dc.identifier.scopusauthorid | 36086032800 | |
| dc.identifier.scopusauthorid | 7102444436 | |
| dc.identifier.scopusauthorid | 6603688969 | |
| dc.identifier.scopusauthorid | 6602576071 | |
| dc.identifier.uri | https://repositorio.udla.cl/handle/udla/1768 | |
| dc.language.iso | eng | |
| dc.publisher | Elsevier BV | |
| dc.relation.funding | FRAM Centre for Future Chemical Risk Assessment and Management at the University of Gothenburg | |
| dc.relation.funding | Margit Petre and Jörg Ahleim | |
| dc.relation.funding | Helmholtz-Zentrum für Umweltforschung, UFZ | |
| dc.relation.funding | Helmholtz Association | |
| dc.relation.funding | Agencia Nacional de Investigación y Desarrollo, ANID, (FOVI 230197) | |
| dc.relation.funding | Agencia Nacional de Investigación y Desarrollo, ANID | |
| dc.relation.funding | ANID Project [FOVI 230197] | |
| dc.relation.isindexedby | Web of Science | |
| dc.relation.issn | 0048-9697 | |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | https://www.elsevier.com/tdm/userlicense/1.0/ | |
| dc.source | SCIENCE OF THE TOTAL ENVIRONMENT | |
| dc.source.uri | https://doi.org/10.1016/j.scitotenv.2024.171054 | |
| dc.subject | Mixture risk assessment | |
| dc.subject | Risk drivers | |
| dc.subject | QSARs | |
| dc.subject | Micropollutants | |
| dc.subject.lcsh | Microcontaminantes | |
| dc.title | A multi-scenario risk assessment strategy applied to mixtures of chemicals of emerging concern in the River Aconcagua basin in Central Chile | |
| dc.title.alternative | A multi-scenario risk assessment strategy applied to mixtures of chemicals of emerging concern in the River Aconcagua basin in Central Chile. | |
| dc.type | journal article | |
| dc.type.coar | http://purl.org/coar/resource_type/c_6501 | |
| dc.type.driver | info:eu-repo/semantics/article | |
| oaire.citation.title | SCIENCE OF THE TOTAL ENVIRONMENT | |
| oaire.citation.volume | 921 | |
| oaire.fundingReference.awardNumber | 230197 | |
| oaire.fundingReference.funderName | Agencia Nacional de Investigación y Desarrollo (ANID) | |
| udla.curacion.control | jmvg | |
| udla.ods | ODS 6: Agua limpia y saneamiento | |
| udla.oecd.area | 1 Ciencias Naturales | |
| udla.oecd.discipline | 1.5.11 Oceanografía, Hidrología y Recursos del Agua | |
| udla.oecd.subarea | 1.5 Ciencias de la Tierra y relacionadas con el medio ambiente |