The velocity and direction of the wind greatly affect marine navigation and the
movement of merchant ships in harbors, It also affects the rapid movement of pollutants
into the air from industrial cities to agricultural and residential areas.
The
importance of the research comes from forecasting monthly wind velocity in the
Tartous station and to achieve this goal the data of time series for the monthly wind
velocity at Tartous station in Tartous governorate The methodology of "Box – Jenkins"
been used in the study, this methodology relies on finding future forecasts from original
data series.
Also, the applications “MINITAB, EXCEL” have been used to obtain the results of the
study.
As a result, the study found that wind velocity value in the ' Tartous station' decreasing,
this decline amounted to 0.002 km/h per month during the monitoring period.
Also, the appropriate (SARIMA) model for the series was build after it passed the
various statistical tests are required, and founded that SARIMA(1,0,0)(1,1,1)12 model is a
good representation of the data and the SARIMA(1,0,1)(1,1,0)12 model is the right model
to forecast future monthly wind.
The general index of the financial market of the important
economic indicators in any country is being reflects the
economic situation and economic activity in the country, so
attention must be appropriate methods for predicting the
performance o
f this indicator in the future and look at the
factors that affect in it .
This study aimed to the conclusion based, follow Box-Jenkins
methodology for building predictive models ARMA (p, q) and
check models" residuals, and predict the performance of the
general index of Damascus Securities Exchange DWX, as
well as the volume of trading in this market, and studying the
impact of the relationship between them .
Due to the importance of water, and the increasing of demand at the present time due
to the tremendous development in all spheres of economic and social life, and as the
evaluation, planning and management of water sources, one of the important top
ics in
human life, especially in areas with scarce rainfall or where rainfall distribution is poor or
irregular so cannot be used for different purposes.
From here, the importance of the research in forecasting rainfall in the Husn
Suleiman station, comes, and to achieve this goal the data of time series for the average
annual rainfall precipitation been used in Husn Suleiman station which located in the
province of Tartous on longitude 36 ° 15 ' andlatitude 34 ° 56', for the period between
1959-2011,
The methodology of "Box – Jenkins" been used in the study, this methodology
relies on finding future forecasts from original data series.
Also,the applications “MINITAB, EXCEL” have been used in the statistical side and
the preparation of the study results.
As a result, the study found that rainfall value in the 'Husn Suleiman station'
decreasing, this decline amounted to 3.7 mm per year during the monitoring period.
Also, the appropriate (ARIMA) model for the series was build after it passed the
various statistical tests are required, and founded that ARIMA(1,0,0) model is a good
representation of the data and the ARIMA(4,1,5) model is the right model to forecast
future rainfall.
