Author(s): Eunju Lee; Sewoong Chung

Linked Author(s): Se-Woong Chung

Keywords: Clustering analysis; Miho-River; Principal component analysis; Spatiotemporal analysis

Abstract: Water quality management in the Miho River, a major tributary of the Geum River in Korea, is crucial due to significant contamination from various sources. This study employs spatiotemporal analysis to assess water pollution, revealing elevated Biochemical Oxygen Demand (BOD) levels in the Miho River compared to its tributaries. Principal Component Analysis (PCA) identifies clusters reflecting seasonal variations and pollutant influences, guiding effective water quality management policies.

DOI: https://doi.org/10.3850/iahr-hic2483430201-402

Year: 2024