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 Modeling Water Quality Improvements from Best Management Practices for Combined Sewer Overflow Reduction
Authors 이다훈(Dahoon Lee) ; 김태경(Taekyoung Kim) ; 이주성(Juseong Lee) ; 김민아(Minah Kim) ; 정한석(Hanseok Jeong)
DOI https://doi.org/10.15681/KSWE.2026.42.2.139
Page pp.139-150
ISSN 2289-0971
Keywords Anyangcheon; BMP; HSPF; Underground detention facility
Abstract Combined Sewer Overflows (CSOs) significantly contribute to nonpoint source pollution in urban watersheds. These overflows are characterized by rapid changes in flow and pollutant concentrations during the initial stages of rainfall when heavily polluted stormwater is released into receiving waters. To address these challenges, Best Management Practices (BMPs) have been implemented, with underground detention facilities recognized as effective structural BMPs in urban settings. This study utilized the Hydrological Simulation Program?FORTRAN (HSPF) model to quantitatively evaluate the water quality improvements associated with structural BMPs focusing on underground detention facilities within the Anyangcheon watershed. The model was calibrated and validated using observed data from 2017 to 2022, and four scenarios were developed: baseline, treatment efficiency, storage capacity, and facility relocation. Results indicated that doubling the storage capacity enhanced water quality in the upstream region, showing improvements of 0.49% for BOD, 0.25% for T-N, and 0.99% for T-P, while downstream improvements were more modest. Additionally, relocating facilities closer to wastewater treatment plants resulted in a maximum reduction of 0.75% for T-P, suggesting that spatial configuration had a greater impact on water quality improvement than treatment efficiency alone. This study provides a quantitative assessment of the performance of spatially dependent BMPs and establishes a scientific foundation for integrated water quality management in urban watersheds.