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Dynamic Model of a Long-term Water Demand Using System Dynamics  

Lee, Sangeun (한국과학기술원 건설 및 환경공학과)
Choi, Dongjin (국토환경연구소)
Park, Heekyungh (한국과학기술원 건설 및 환경공학과)
Publication Information
Journal of Korean Society of Water and Wastewater / v.21, no.1, 2007 , pp. 75-82 More about this Journal
Abstract
When one forecasts urban water demand in a long-term, multivariate model can give more benefits than per capita requirement model. However, the former has shortcomings in that statistically high explanatory power cannot be obtained well, and change in customer behavior cannot be considered. If the past water consumption effects the future water demand, dynamic model may describe real water consumption data better than static model, i.e. the existing multivariate model. On these grounds, this study built dynamic model using system dynamics. From a case study in Seoul and Busan city, dynamic model was expected to forecast water demand more descriptively and reliably.
Keywords
urban water demand; dynamic model; system dynamics; multivariate model;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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