Literature DB >> 25135154

Identifying sources of emerging organic contaminants in a mixed use watershed using principal components analysis.

M Ekrem Karpuzcu1, David Fairbairn, William A Arnold, Brian L Barber, Elizabeth Kaufenberg, William C Koskinen, Paige J Novak, Pamela J Rice, Deborah L Swackhamer.   

Abstract

Principal components analysis (PCA) was used to identify sources of emerging organic contaminants in the Zumbro River watershed in Southeastern Minnesota. Two main principal components (PCs) were identified, which together explained more than 50% of the variance in the data. Principal Component 1 (PC1) was attributed to urban wastewater-derived sources, including municipal wastewater and residential septic tank effluents, while Principal Component 2 (PC2) was attributed to agricultural sources. The variances of the concentrations of cotinine, DEET and the prescription drugs carbamazepine, erythromycin and sulfamethoxazole were best explained by PC1, while the variances of the concentrations of the agricultural pesticides atrazine, metolachlor and acetochlor were best explained by PC2. Mixed use compounds carbaryl, iprodione and daidzein did not specifically group with either PC1 or PC2. Furthermore, despite the fact that caffeine and acetaminophen have been historically associated with human use, they could not be attributed to a single dominant land use category (e.g., urban/residential or agricultural). Contributions from septic systems did not clarify the source for these two compounds, suggesting that additional sources, such as runoff from biosolid-amended soils, may exist. Based on these results, PCA may be a useful way to broadly categorize the sources of new and previously uncharacterized emerging contaminants or may help to clarify transport pathways in a given area. Acetaminophen and caffeine were not ideal markers for urban/residential contamination sources in the study area and may need to be reconsidered as such in other areas as well.

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Year:  2014        PMID: 25135154     DOI: 10.1039/c4em00324a

Source DB:  PubMed          Journal:  Environ Sci Process Impacts        ISSN: 2050-7887            Impact factor:   4.238


  4 in total

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Authors:  Max R Lambert
Journal:  R Soc Open Sci       Date:  2015-12-02       Impact factor: 2.963

2.  Identifying and Classifying Pollution Hotspots to Guide Watershed Management in a Large Multiuse Watershed.

Authors:  Fangli Su; David Kaplan; Lifeng Li; Haifu Li; Fei Song; Haisheng Liu
Journal:  Int J Environ Res Public Health       Date:  2017-03-03       Impact factor: 3.390

3.  Hormonally active phytochemicals and vertebrate evolution.

Authors:  Max R Lambert; Thea M Edwards
Journal:  Evol Appl       Date:  2017-03-23       Impact factor: 5.183

4.  Occurrence and Health Risks of Organic Micro-Pollutants and Metals in Groundwater of Chinese Rural Areas.

Authors:  Xuehua Li; Tian Tian; Xiaochen Shang; Ruohan Zhang; Huaijun Xie; Xuejian Wang; Hanwei Wang; Qing Xie; Jingwen Chen; Kiwao Kadokami
Journal:  Environ Health Perspect       Date:  2020-10-30       Impact factor: 9.031

  4 in total

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