| Title |
Long-Term Urban Water Demand Forecasting Using Exponential Model |
| Authors |
김이태 ( Kim I Tae ) ; 서재승 ( Seo Jae Seung ) ; 이동률 ( Lee Dong Lyul ) |
| Keywords |
Water supply per capita per day; Modified exponential trend model; Least square method model; Domestic water use. Other water use |
| Abstract |
Although the urban water demand per capita per day (lpcd) had an increased trend Until mid-l990s, since then it has become reducer and stable In this paper, the urban water demand divided into domestic water and others. which is business, commercial. public bath, and industrial water demand in city This paper evaluates the characteristics of urban water demand use and trend, and forecasts long-term demand considering the recent character with two exponential models Modified exponential model (Model 1) and least square method exponential model (Model 2) applied to the whole country and five cities The results of two models show that urban water demand is predicted to approach to stable level in 2011 year The forecasting of domestic water demand gives better results compared with that of other water demand in evaluation to mean absolute percentage error of both models |