Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 안진성 | - |
dc.date.accessioned | 2024-06-11T02:24:26Z | - |
dc.date.available | 2024-06-11T02:24:26Z | - |
dc.date.issued | 2023-09-20 | - |
dc.identifier.citation | SCIENCE OF THE TOTAL ENVIRONMENT, v. 892, article no 164554, page. 1-11 | en_US |
dc.identifier.issn | 0048-9697 | en_US |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0048969723031753 | en_US |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/190615 | - |
dc.description.abstract | The upstream of Nakdong River is contaminated by heavy metals such as Cd, Cu, Zn, As, and Pb. Although the origin of the contamination is unequivocal, it is suspected that the heavy metals have been leached from several mine tailings and a refinery. Here, receptor models, absolute principal component score (APCS) and positive matrix factorization (PMF), were used to identify the contamination sources. Source markers representing each source (factor) were investigated using correlation analysis for five major contaminants (Cd, Zn, As, Pb, and Cu) and identified as following: Cd and Zn for the refinery (factor 1), As for mine tailings (factor 2). The categorization of sources into two factors was statistically validated via the cumulative proportion and APCS-based KMO test score with the values ˃90 % and ˃ 0.7 (p ˂ 0.001), respectively. High R2 values of linear regressions between the predicted data from receptor models and observed data indicate the reliability of the model prediction; moreover, the predicted initial concentrations of contaminants were validated using a sediment sample collected from near the refinery (chi-test: p ˃ 0.200). Concentration distribution and source contribution using GIS revealed the heavy metal contaminated zones affected by the precipitation. | en_US |
dc.description.sponsorship | This work was supported by the Korea Environmental Industry & Technology Institute (KEITI) through the Aquatic Ecosystem Conservation Research Program, funded by the Korea Ministry of Environment (MOE) (No. 2021003040004). | en_US |
dc.language | en_US | en_US |
dc.publisher | ELSEVIER | en_US |
dc.relation.ispartofseries | v. 892, article no 164554;1-11 | - |
dc.subject | Source apportionment | en_US |
dc.subject | Absolute principal component score | en_US |
dc.subject | Positive matrix factorization | en_US |
dc.subject | Multivariable linear regression | en_US |
dc.subject | Geographical analysis | en_US |
dc.title | Environmental forensic approach towards unraveling contamination sources with receptor models: A case study in Nakdong River, South Korea | en_US |
dc.type | Article | en_US |
dc.relation.volume | 892 | - |
dc.identifier.doi | https://doi.org/10.1016/j.scitotenv.2023.164554 | en_US |
dc.relation.page | 1-11 | - |
dc.relation.journal | SCIENCE OF THE TOTAL ENVIRONMENT | - |
dc.contributor.googleauthor | Jung, Jihyeun | - |
dc.contributor.googleauthor | Park, Junyoung | - |
dc.contributor.googleauthor | Choi, Yongju | - |
dc.contributor.googleauthor | Choe, Jong Kwon | - |
dc.contributor.googleauthor | An, Jinsung | - |
dc.contributor.googleauthor | Nam, Kyoungphile | - |
dc.relation.code | 2023033873 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING | - |
dc.identifier.pid | jsan86 | - |
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