Using the General Trend Model to Predict Rainfall Amounts in Baghdad Governorate for 2024-2032

Authors

  • Abbas Fadhil Kreah
  • Ali Ghani nori
  • Hasanain Hamed Ahmed

DOI:

https://doi.org/10.31272/jae.i147.1377

Keywords:

Trend, forecast, time series, rain falling

Abstract

The water crisis and environmental changes are considered complex tasks for countries in general and Iraq in particular. The fact that Iraq is currently facing a water shortage in the levels of the Tigris and Euphrates rivers and the decrease in rainfall has prompted many researchers and specialists to research and study problems. Rainfall, analyzing it scientifically, and finding alternatives and solutions to it this is what was focused on in this research by following the method of forecasting and estimating the possibilities of the causes of the occurrence of the phenomenon, and through it, it is possible to calculate the cases of transition from one state to another or to predict the stability of the phenomenon in the future. This research consists of two main parts: the theoretical aspect, which contains statistical methods using the general trend model adopted, and the applied aspect. The applied element includes collecting data, represented in the amounts of rain falling in Baghdad Governorate from 2012 to 2022 and the amounts of rain falling predicted from 2024 to 2032. The research concluded that there is a shortage that Iraq will face in the coming years

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References

[1] Al-Jubouri, A. J., & Al-Hanoun, O. B. (2022). Using ARIMA and Random Forest Models for Weather Forecasting. The Iraqi Journal of Statistical Sciences, 19(2). DOI: https://doi.org/10.33899/iqjoss.2022.176203

[2] Hammoud, M. Y., Gomaa, A. A., & Mohamed, F. A. (2019). Decomposition of Time Series. Al-Daad Library for Publishing and Distribution.

[3] Hasan, A. H., Mazloum, S. A., & Ahmad, S. M. (2023). Using Seasonal Autoregressive Integrated Moving Average Models for Forecasting Maximum Temperatures in Baqubah City. Biladi Alrafidaini Journal of Humanities and Social Science, 5(2).

[4] Fakhri, M. A., & Jijaan, A. M. A. (2020). Forecasting Maximum Temperatures in Wasit Governorate Using the ARX Model. Baghdad College of Economic Sciences University Journal, (60).

[5] Kazim, A. A. (2015). Forecasting Monthly Maximum Temperature Rates in the City of Mosul Using the Multilayer Perceptron Neural Network. Journal of the College of Education, (2).

[6] Latifa Abdullah, L. (2012). Forecasting Maximum Temperatures for Dohuk Governorate for the Year 2011 Using One of the ARIMA Models of Box-Jenkins Time Series Theory. Journal of the College of Basic Education, 18(73), 811-829. https://doi.org/10.35950/cbej.v18i73.9183 DOI: https://doi.org/10.35950/cbej.v18i73.9183

[7] Mohammed, R. S. (2015). Using the Multiplicative Seasonal Model for Forecasting Monthly Temperature Rates in the City of Mosul. Journal of Administration and Economics, 38(3).

[8] Zain, S. H. (2018). Using the ARIMA method in forecasting money Supply in the Iraqi economy. Gulf Economics Magazine, 35

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Published

2025-03-01

How to Cite

Using the General Trend Model to Predict Rainfall Amounts in Baghdad Governorate for 2024-2032. (2025). Journal of Administration and Economics, 50(147), 58-64. https://doi.org/10.31272/jae.i147.1377

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