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A Study on the Calculation of Stormwater Utility Fee Using GIS based Impervious Surface Ratio Estimation Methodology

GIS 기반 불투수율 산정방법론을 활용한 강우유출수 부담금 모의산정 방안 연구

  • Yoo, Jae Hyun (Division of Water Quality Assessment, National Institute of Environmental Research) ;
  • Kim, Kye Hyun (Department of Geoinformatic Engineering, Inha University) ;
  • Choi, Ji Yong (Institutes of Green Bio Science and Technology, Seoul National University) ;
  • Lee, Chol Young (Marine Bigdata Center, Korea Institute of Ocean Science & Technology)
  • 유재현 (국립환경과학원 물환경평가연구과) ;
  • 김계현 (인하대학교 공간정보공학과) ;
  • 최지용 (서울대학교 그린바이오과학기술연구원) ;
  • 이철용 (한국해양과학기술원 해양빅데이터센터)
  • Received : 2020.12.01
  • Accepted : 2021.04.01
  • Published : 2021.05.30

Abstract

Korea needs to develop a rational system to separate stormwater utility fee from current sewerage fee. In this study, the scenario for calculating stormwater utility fee of Bupyeong-gu was suggested and the results were considered. For this purpose, the application of stormwater utility fee overseas and current domestic system were analyzed. A three step calculating scenario considering suitable domestic situation and impervious surface area was suggested. Water, sewerage usage, and hydrant data were collected. The total amount of water and sewerage fees for land use were calculated. The sewerage fee of Bupyeong-gu for the year 2014 was 21,685,446,578 won. Assuming that 40% of this amount was the cost associated to stormwater, the result showed that the fees for residential area in third step decreased by 0.77% compared to that of the first step. For commercial area, the stormwater utility fee decreased by 36.87%. For industrial area, although the consumption of water was similar to that of commercial area, the stormwater utility fee increased by 8.35%. For green area, the fee increased by 37.46%. This study demonstrated that the calculation of actual stormwater utility fee using impervious surface map and impervious Surface Ratio Estimation Methodology developed in previous studies is feasible.

Keywords

Acknowledgement

본 연구는 환경부 재원으로 한국환경산업기술원의 환경정책기반공공기술개발사업의 지원을 받아 연구되었습니다. (1403-20200001)

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