Anthropogenic factors associated with contaminants of emerging concern detected in inland Minnesota lakes (Phase II).
Anthropogenic activities
CECs
Contaminant transport
Human development
Impervious surface
Indigenous people
LASSO models
Pollution
Journal
The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500
Informations de publication
Date de publication:
10 Jun 2021
10 Jun 2021
Historique:
received:
08
12
2020
revised:
23
02
2021
accepted:
24
02
2021
pubmed:
16
3
2021
medline:
27
3
2021
entrez:
15
3
2021
Statut:
ppublish
Résumé
Contaminants of emerging concern (CECs) include a variety of pharmaceuticals, personal care products, and hormones commonly detected in surface waters. Human activities, such as wastewater treatment and discharge, contribute to the distribution of CECs in water, but other sources and pathways are less frequently examined. This study aimed to identify anthropogenic activities and environmental characteristics associated with the presence of CECs, previously determined to be of high priority for further research and mitigation, in rural inland lakes in northeastern Minnesota, United States. The setting for this study consisted of 21 lakes located within both the Grand Portage Indian Reservation and the 1854 Ceded Territory, where subsistence hunting and fishing are important to the cultural heritage of the indigenous community. We used data pertaining to numbers of buildings, healthcare facilities, wastewater treatment plants, impervious surfaces, and wetlands within defined areas surrounding the lakes as potential predictors of the detection of high priority CECs in water, sediment, and fish. Separate models were run for each contaminant detected in each sample media. We used least absolute shrinkage and selection operator (LASSO) models to account for both predictor selection and parameter estimation for CEC detection. Across contaminants and sample media, the percentage of impervious surface was consistently positively associated with CEC detection. Number of buildings in the surrounding area was often negatively associated with CEC detection, though nonsignificant. Surrounding population, presence of wastewater treatment facilities, and percentage of wetlands in surrounding areas were positively, but inconsistently, associated with CECs, while catchment area and healthcare centers were generally not associated. The results of this study highlight human activities and environmental characteristics associated with CEC presence in a rural area, informing future work regarding specific sources and transport pathways. We also demonstrate the utility of LASSO modeling in the identification of these important relationships.
Identifiants
pubmed: 33715861
pii: S0048-9697(21)01255-9
doi: 10.1016/j.scitotenv.2021.146188
pmc: PMC9365396
mid: NIHMS1823443
pii:
doi:
Substances chimiques
Waste Water
0
Water Pollutants, Chemical
0
Types de publication
Clinical Trial, Phase II
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
146188Subventions
Organisme : Intramural EPA
ID : EPA999999
Pays : United States
Informations de copyright
Copyright © 2021 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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