Print ISSN: 1681-6900

Online ISSN: 2412-0758

Author : A.Arselan, Cheleng


Multivariate Multisite Model MV.MS. Reg for water Demand Forecasting

Cheleng A.Arselan; J.Al-Kazwini; Muhannad; Rafa H.Shaker.Al-suhaili

Engineering and Technology Journal, 2010, Volume 28, Issue 13, Pages 2516-2529

A new multivariate multi site MV.MS.Reg model is developed in this
research depended on regression analysis mixed with Auto regressive multisite
Matalas model (AMMM)and used for water demand forecasting .This developed
model was applied to Kerkuk city as a case study for long term forecasting of
water demand for different types such as domestic demand,industrial,commercial
and public demand.This was done by dividing the city into four sites and
dividing the total water demand in each site into three types of
demand(domestic,industrial with commercial and public demand) .Each type of
water demand in each site was analyzed by multivariate regression base then the
cross correlation between this type of demand for the four sites were included in
the model using multi site Matalas model.Many explanatory variables were
concluded to be most effective factors affecting different types of demands such
as monthly temperature,monthly evaporation ,number of residential units
,number of industrial and commercial units and number of public units which
were forecasted successfully using Stochastic weather generation (SWG)
method.