Browse > Article

Estimation of Long-term Water Demand by Principal Component and Cluster Analysis and Practical Application  

Koo, Ja-Yong (Department of Environmental Engineering, The University of Seoul)
Yu, Myung-Jin (Department of Environmental Engineering, The University of Seoul)
Kim, Shin-Geol (Department of Environmental Engineering, The University of Seoul)
Shim, Mi-Hee (Department of Environmental Engineering, The University of Seoul)
Akira, Koizumi (Department of Environmental Civil Engineering, Tokyo Metropolitan University)
Publication Information
Abstract
The multiple regression models which have two factors(population and commercial area) have been used to forecast the water demand in the future. But, the coefficient of population had a negative value because proper regional classification wasn't performed, and it is not reasonable because the population must be a positive factor. So, the regional classification was performed by principal component and cluster analysis to solve the problem. 6 regional characters were transformed into 4 principal components, and the areas were divided into two groups according to cluster analysis which had 4 principal components. The new regression models were made by each group, and the problem was solved. And, the future water demands were estimated by three scenarios(Active, moderate, and passive one). The increase of water demand ore $89.034\;m^3/day$ in active plat $49,077\;m^3/day$ in moderate plan, and $19,996\;m^3/day$ in passive plan. The water supply ability as scenarios is enough in water treatment plant, however, 2 reservoirs among 4 reservoirs don't have enough retention time in all scenarios.
Keywords
Principal Component Analysis; Cluster Analysis; Forecasting Water Demand; Assessment of Water Supply Capacity;
Citations & Related Records
연도 인용수 순위
  • Reference
1 주성분분석에 의한 도시호수의 수질평가에 관한 연구 /
[ 김영주 ] / 환경관리학회지
2 인자분석과 군집분석에 의한 세계도시의 유형화 /
[ 남영우;성은영 ] / 한국도시지리학회지
3 Principal Component Analysis /
[ Julliffe, I.T. ] /
4 Cluster analysis /
[ Brian, S.E.;Sabine, L.;Morven, S. ] /
5 Introduction to Regression Analysis /
[ Goldberg, M.A.;Cha, H.A. ] /
6 Forecasting Urban Water Demand /
[ Billings, R.B.;Jones, C.B. ] /
7 환경백서 /
[ 환경부 ] /
8 상수도 시설기준 /
[ 한국수도협회 ] /
9 都市の短期水需要像測に關する硏究 /
[ 貝滋茸 ] /
10 동저계획법을 이용한 장기 상수도 시설계획의 최적화연구 /
[ 최재호;주충남;구자용;유명진 ] /
11 서울특별시 수도정비기본계획 /
[ 서울특별시 상수도 사업본부 ] /
12 /
[ 서울특별시 ] / 서울통계연보
13 시스템 다이나믹스 모델을 이용한 장기물수요예측 /
[ 변신숙 ] /
14 서울 도심부 하부기반시설의 수용용량분석 /
[ 서울시립대학교 도시과학연구원 ] /
15 도심부 및 청계천 주변지역 하부기반시설 수용용량분석 /
[ 서울시립대학교 도시과학연구원 ] /
16 Principal component and cluster analysis of 185 large towns in England and Wales /
[ Grove, D.M.;Roberts, C.A. ] / Urban Studies   DOI