Anthropogenic factors associated with contaminants of emerging concern detected in inland Minnesota lakes (Phase II)

Joseph L. Servadio; Jessica R. Deere; Mark D. Jankowski; Mark Ferrey; E. J. Isaac; Yvette Chenaux-Ibrahim; Alexander Primus; Matteo Convertino; Nicholas B.D. Phelps; Summer Streets; Dominic A. Travis; Seth Moore; Tiffany M. Wolf

doi:10.1016/j.scitotenv.2021.146188

Anthropogenic factors associated with contaminants of emerging concern detected in inland Minnesota lakes (Phase II)

Joseph L. Servadio, Jessica R. Deere, Mark D. Jankowski, Mark Ferrey, E. J. Isaac, Yvette Chenaux-Ibrahim, Alexander Primus, Matteo Convertino, Nicholas B.D. Phelps, Summer Streets, Dominic A. Travis, Seth Moore, Tiffany M. Wolf

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

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.

Original language	English (US)
Article number	146188
Journal	Science of the Total Environment
Volume	772
DOIs	https://doi.org/10.1016/j.scitotenv.2021.146188
State	Published - Jun 10 2021

Bibliographical note

Funding Information:
We thank the Grand Portage Reservation Tribal Council and Tony Swader for their support of this research. We also are grateful to Peter Wringa and USpatial at the University of Minnesota for assistance with data acquisition. This study was funded by University of Minnesota (UMN) College of Veterinary Medicine's Population Systems Signature Program, UMN Agriculture Experiment Station Research Funds (MIN-62-061), UMN MnDRIVE Global Food Ventures, UMN Informatics Institute MnDRIVE, the Environmental Protection Agency's Great Lakes Restoration Initiative, and the Environment and Natural Resources Trust Fund as recommended by the Legislative-Citizen Commission on Minnesota Resources (M.L. 2017, Chp. 96, Sec.2, Subd. 04g). This work is not a product of the United States Government or the United States Environmental Protection Agency, and the author (M.D.J) is not involved in this work in any governmental capacity. The views expressed are those of the authors only and do not necessarily represent those of the United States government or Environmental Protection Agency.

Publisher Copyright:
© 2021 Elsevier B.V.

Keywords

Anthropogenic activities
CECs
Contaminant transport
Human development
Impervious surface
Indigenous people
LASSO models
Pollution

PubMed: MeSH publication types

Clinical Trial, Phase II
Journal Article

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.scitotenv.2021.146188

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Servadio, J. L., Deere, J. R., Jankowski, M. D., Ferrey, M., Isaac, E. J., Chenaux-Ibrahim, Y., Primus, A., Convertino, M., Phelps, N. B. D., Streets, S., Travis, D. A., Moore, S., & Wolf, T. M. (2021). Anthropogenic factors associated with contaminants of emerging concern detected in inland Minnesota lakes (Phase II). Science of the Total Environment, 772, Article 146188. https://doi.org/10.1016/j.scitotenv.2021.146188

Servadio, JL, Deere, JR, Jankowski, MD, Ferrey, M, Isaac, EJ, Chenaux-Ibrahim, Y, Primus, A, Convertino, M, Phelps, NBD, Streets, S, Travis, DA, Moore, S & Wolf, TM 2021, 'Anthropogenic factors associated with contaminants of emerging concern detected in inland Minnesota lakes (Phase II)', Science of the Total Environment, vol. 772, 146188. https://doi.org/10.1016/j.scitotenv.2021.146188

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title = "Anthropogenic factors associated with contaminants of emerging concern detected in inland Minnesota lakes (Phase II)",

abstract = "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.",

keywords = "Anthropogenic activities, CECs, Contaminant transport, Human development, Impervious surface, Indigenous people, LASSO models, Pollution",

author = "Servadio, {Joseph L.} and Deere, {Jessica R.} and Jankowski, {Mark D.} and Mark Ferrey and Isaac, {E. J.} and Yvette Chenaux-Ibrahim and Alexander Primus and Matteo Convertino and Phelps, {Nicholas B.D.} and Summer Streets and Travis, {Dominic A.} and Seth Moore and Wolf, {Tiffany M.}",

note = "Funding Information: We thank the Grand Portage Reservation Tribal Council and Tony Swader for their support of this research. We also are grateful to Peter Wringa and USpatial at the University of Minnesota for assistance with data acquisition. This study was funded by University of Minnesota (UMN) College of Veterinary Medicine's Population Systems Signature Program, UMN Agriculture Experiment Station Research Funds (MIN-62-061), UMN MnDRIVE Global Food Ventures, UMN Informatics Institute MnDRIVE, the Environmental Protection Agency's Great Lakes Restoration Initiative, and the Environment and Natural Resources Trust Fund as recommended by the Legislative-Citizen Commission on Minnesota Resources (M.L. 2017, Chp. 96, Sec.2, Subd. 04g). This work is not a product of the United States Government or the United States Environmental Protection Agency, and the author (M.D.J) is not involved in this work in any governmental capacity. The views expressed are those of the authors only and do not necessarily represent those of the United States government or Environmental Protection Agency. Publisher Copyright: {\textcopyright} 2021 Elsevier B.V.",

year = "2021",

month = jun,

day = "10",

doi = "10.1016/j.scitotenv.2021.146188",

language = "English (US)",

volume = "772",

journal = "Science of the Total Environment",

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publisher = "Elsevier",

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T1 - Anthropogenic factors associated with contaminants of emerging concern detected in inland Minnesota lakes (Phase II)

AU - Servadio, Joseph L.

AU - Deere, Jessica R.

AU - Jankowski, Mark D.

AU - Ferrey, Mark

AU - Isaac, E. J.

AU - Chenaux-Ibrahim, Yvette

AU - Primus, Alexander

AU - Convertino, Matteo

AU - Phelps, Nicholas B.D.

AU - Streets, Summer

AU - Travis, Dominic A.

AU - Moore, Seth

AU - Wolf, Tiffany M.

N1 - Funding Information: We thank the Grand Portage Reservation Tribal Council and Tony Swader for their support of this research. We also are grateful to Peter Wringa and USpatial at the University of Minnesota for assistance with data acquisition. This study was funded by University of Minnesota (UMN) College of Veterinary Medicine's Population Systems Signature Program, UMN Agriculture Experiment Station Research Funds (MIN-62-061), UMN MnDRIVE Global Food Ventures, UMN Informatics Institute MnDRIVE, the Environmental Protection Agency's Great Lakes Restoration Initiative, and the Environment and Natural Resources Trust Fund as recommended by the Legislative-Citizen Commission on Minnesota Resources (M.L. 2017, Chp. 96, Sec.2, Subd. 04g). This work is not a product of the United States Government or the United States Environmental Protection Agency, and the author (M.D.J) is not involved in this work in any governmental capacity. The views expressed are those of the authors only and do not necessarily represent those of the United States government or Environmental Protection Agency. Publisher Copyright: © 2021 Elsevier B.V.

PY - 2021/6/10

Y1 - 2021/6/10

N2 - 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.

AB - 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.

KW - Anthropogenic activities

KW - CECs

KW - Contaminant transport

KW - Human development

KW - Impervious surface

KW - Indigenous people

KW - LASSO models

KW - Pollution

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DO - 10.1016/j.scitotenv.2021.146188

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AN - SCOPUS:85101966123

SN - 0048-9697

VL - 772

JO - Science of the Total Environment

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M1 - 146188

ER -

Anthropogenic factors associated with contaminants of emerging concern detected in inland Minnesota lakes (Phase II)

Abstract

Bibliographical note

Keywords

PubMed: MeSH publication types

UN SDGs

Publisher link

Find It

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