Thesis (M.Eng.)--Chulalongkorn University, 2009

To forecast yearly water consumption, for service water use of area in Vientiane capital, Lao PDR, The study methods are following a). Study the correlation of water demand and influence all factors, b). Study proper prediction, forecasting of water demand in urban by using the influence factor. Analysing currency of a multiple linear regression model is formulated as a set of equations representing the effects of 10 factors on water use namely of all factor are 1). Number of family, 2). Total population, 3). Income per capita, 4). Area zone of district 5). Density of population, 6) Selling price of water, 7). Maximum temperature, 8). Minimum temperature 9).Average of temperature and 10). Total precipitation. These factors are correlation and influence to water demand consumptions. Base water use was estimated by the minimum water consumption year. The year-to-year long-term trend in base consumption was represented by a polynomial as a function of time water use was modelled. The model developed was tested using a cross-validation procedure, and an independent data set during period year from 1997 to 2007 use to analysing and using statistic tool was tested and run on the program computer by using a SPSS software V16 developed. This model can apply and operate water supply planning systems in a sustainable. And make to forecasting water demand in the future for Vientiane capital or other cities