Predicting the Water Situation in Jordan Using Auto Regressive Integrated Moving Average (ARIMA) Model

Authors

Shahed Al-Khateeb, Lecturers at Department of Computer Sciences Yarmouk University Irbid, JordanFollow

Abstract

Countries' water security is inextricably related to their economic position. Jordan is one of the world's five poorest countries regarding water resources. Climate change and water scarcity are threatening Jordan's economic growth and food security.

The objectives of the study are to use a statistical artificial intelligence model, which is called the Autoregressive Integrated Moving Average model to predict water productivity in Jordan and the world for the year 2021-2026, based on a real dataset from World Development Indicators from the World Bank. The study also aims to predict the total per capita share of fresh water based on the dataset from the Jordanian Department of Statistics. The dataset is divided into 70% training and 30% testing. The statistical model has an accuracy rate of 93.86%.

This study can help analyze and measure the use of water resources in Jordan using artificial intelligence predictions and mitigate this regional problem.

Recommended Citation

Al-Khateeb, Shahed (2023) "Predicting the Water Situation in Jordan Using Auto Regressive Integrated Moving Average (ARIMA) Model," Jerash for Research and Studies Journal مجلة جرش للبحوث والدراسات: Vol. 24: Iss. 2, Article 15.
Available at: https://digitalcommons.aaru.edu.jo/jpu/vol24/iss2/15