The Characteristics of the Urban Water Use Trend With Time for a Day

상수도의 1일 홍수량의 시간적 변화의 특성에 관한 연구

  • 이경훈 (전남대학교 토목공학과) ;
  • 이삼노 (여수수산대학교 해양토목공학과) ;
  • 문병석 (전남대학교 토목공학과)
  • Published : 1994.12.01

Abstract

The purpose of this study was to improve the understanding of the characteristics of the daily urban water use. The city of Kwangju in Korea was selected as a study area. The population of Kwangju in the end of 1993 was more than one million and two hundred thousand peoples. The average of daily water use in 1993 was about three hundred and fifty thousand tons a day. The variation of the urban water demand trend with time for a day was studied. One day was devided into 12 divisions with a 2hour increment. The water use demand for the given time interval of a day was observed. The water use index was defind in percentage that indicates the ratio of the amount of water use for a time interval to the amount of water use for a day. The water use index was found to be useful to manage and to operate the water supply systems. In addition to this, the probability distribution of the water use demand for each time interval was tested using the K-S(Komogorov-Smirnov) method. The normal distribution type was found to be appropriate as the probability distribution type for the variation of water demand for the given time interval of a day.

본 연구에서는 상수도 급수량의 시간적 변화형태를 조사하고, 수요량의 시간적인 변화량에 통계학적 개념을 이용하여 수요량의 시간적 변화에 관한 확률적 분산모형에 관하여 검정 결정하였다. 연구대상의 지역으로 광주시를 선정하고, 자료로는 2시간 간격으로 측정된 배수지의 수위와 1일 상수도 생산량을 이용하였다. 급수계통의 모형에 통제용적과 연속방정식을 적용하여 2시간별로 변화되는 수요량을 결정하고, 매월 단위로 정리하여 수요수량의 변화를 알 수 있도록 하였다. 2시간별 수요수량은 1일 총 급수량에 대한 백분율로 환산하여 지수화하였으며, 시간별로 변화되는 각각의 급수량은 통계학적으로 추론될 수 있는지 알 수 있도록 분산모형에 관하여 검정을 하였다. 검정결과를 이용하면 시간별 확률 급수량의 산정이나 급수량의 통계학적 해석을 통하여 상수도 시설의 운용에 이용할 수 있는 것으로 판단되었다.

Keywords

References

  1. 대한상하수도학회지 v.2 no.2 상수사용량의 확률분포특성 목동우;현인환
  2. 환경공학 최의소;조광명
  3. 공업수문학 윤용남
  4. Peak 용수수요 분산을 고려한 광역상수도 용수요금 체계의 개선 한국수자원공사
  5. Water Resources Research v.9 no.4 Price elasticity of demand for municipal water: a ease study of Tuscon, Arizona Young,A.
  6. Water Resources Bulletin v.13 no.3 Alternative models for estimating the time series components of water consumption data Yamauchi,H.;W.Huang
  7. Basic Principles v.1 Probability concepts in engineering planning and design Ang,A.H.;W.H.Tang
  8. Water Resources Research v.16 no.3 Dynamic models of residential water demand Agthe,D.E.;R.B.Buildings
  9. Water Resources Research v.16 no.4 Short and long-run effects of price on municipal water use Carver,P.H.;J.J.Boland
  10. Water resource system planning and analysis Loucks,D.P.;J.R.Stedinger;D.A.Haith
  11. Water Resources Research v.20 no.1 Cascade model of monthly municipal water use Maidment,D.R.;E.Parzen
  12. Water Resources Research v.21 no.4 Transfer function models of daily urban water use Maidment,D.R.;S.P.Miaou;M.M.Crawford
  13. ASCE, Preceedings of the Specialty Conference Time series analysis of hourly domestic water demand Cronauer,J.A.
  14. Probability and Statistics(Second Edition) DeGroot,M.H.
  15. Water Resources Research v.22 no.6 Daily water use in nine cities Maidment,D.R.;S.P.Miaou