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ESTIMATING WATER DEMAND DETERMINANTS AND FORECASTING WATER DEMAND FOR NZIOA CLUSTER SERVICES AREA

Journal: International Journal of Civil Engineering and Technology (IJCIET) (Vol.6, No. 8)

Publication Date:

Authors : ; ; ;

Page : 154-28

Keywords : regression model; water demand-determinants; forecasting; model; primary data and secondary data; Iaeme Publication; IAEME; Civil; Engineering; IJCIET;

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Abstract

The accuracy of water demand projections depends on the availability of reliable population and water use data as well as an understanding of the distribution of different types of users within the community. The underlying problem for this study is that water demand in Kenya is based on the fact that operational demand of drinking water is based on experience and appropriated practices, rather than local empirical evidence. There is limited number of analytical studies on water demand and supply reliability. In the face of limited knowledge, per capita use statistics adapted from developed countries are applied to estimate water consumption in Kenya, and most probably will fail to depict the water use patterns. At the same time, there is the unknown component of suppressed consumption induced scarcity and water quality problems. Almost certainly, will release these constraints, will modify and disrupt the water demand and design baseline.

Last modified: 2016-05-26 19:56:55