The Journal of
the Korean Society on Water Environment

The Journal of
the Korean Society on Water Environment

Bimonthly
  • ISSN : 2289-0971 (Print)
  • ISSN : 2289-098X (Online)
  • KCI Accredited Journal

Editorial Office

Title Statistical Analysis of the Discharge Characteristics of Water Pollutants in Industrial Wastewater in Gwangju Metropolitan City
Authors 박지영(Ji-young Park) ; 서희정(Hee-jeong Seo) ; 양윤철(Yoon-cheol Yang) ; 김하람(Ha-ram Kim) ; 박주현(Ju-hyun Park) ; 이우진(Woo-jin Lee) ; 전홍대(Hong-dae Jeon) ; 이윤국(Yoon-guk Lee) ; 김연희(Yeon-hee Kim)
DOI https://doi.org/10.15681/KSWE.2025.41.3.133
Page pp.133-142
ISSN 2289-0971
Keywords Industrial wastewater characteristics; Principal component analysis; Regression analysis; Risk of exceeding emission standards; Water pollutants
Abstract This study investigated the characteristics of wastewater pollutant emissions from industrial sites in Gwangju Metropolitan City and analyzed water pollution data to assess the risks of exceeding emission standards. It also aimed to predict these risks by identifying the key influencing factors for each industry. The risk assessment by pollutant revealed that among specific water hazardous substances, 1,4-dioxane posed the highest risk of exceeding standards, followed by chloroform and dichloromethane. Industry-specific assessments showed that the steel/metal processing (MT) industry had the highest risk of exceeding standards, followed by the waste treatment/laundry (WT) industry, automobile parts manufacturing (AM), and plating (PT) industry. Principal component analysis of heavy metals was conducted in the AM, PT and MT industries. In the PT industry, factor 1 consisted of Ni, Cr, and Cu, which are directly used in electroplating processes, while factor 2 included Mn, Zn, and Ba, which are commonly used in other plating processes. Regression analysis using the newly derived factors as independent variables produced statistically significant models with explanatory powers of 68.2% for AM, 60.9% for PT, and 98.6% for MT. These findings provide insight into industry-specific pollutant characteristics and enable the prediction of risks exceeding emission standards. This approach facilitates the development of optimized water quality management strategies tailored to the discharge profiles of various industries in Gwangju Metropolitan City.