ملخص الدراسة:

Forecasting is a data mining technique which benefits from numerous sources of time-series data to derive value from historical data and helps business decision-makers for effective planning. Groundwater is the main water source in Gaza that decreasing due to population growth. A real water crisis is found because of the lack of rainfall. Moreover, an increase in demand for groundwater and reduced rainfall, which is the main source of groundwater recharge, will lead to the depletion of groundwater wells. As a result, mixing seawater with groundwater increases the salinity rate, especially in areas where wells are close to the Mediterranean Sea in Gaza. Wells digging without governmental control, increasing salinity percentages. Therefore, it is necessary to focus on the relationship between rainfall - which feeds the groundwater reservoir and reduces its salinity - and the percentages of the production for the groundwater._x000D__x000D_
In this thesis, we conducted the forecasting techniques on two real data sets: the groundwater production amounts we gained from the Ministry of Agriculture and the rain amounts from the Coastal Municipalities Water Utility (CMWU) of Dear El-Balah City in the Gaza Strip. The following forecasting algorithms are used: Auto-Regressive Integrated Moving Average (ARIMA), ARIMA combined with Neural Network (NN), Exponential Smoothing (ETS) and State Space Model with Box-Cox Transformation, ARMA Errors, Trend and Seasonal Components (TBATS) and ETS. The best performance of applied algorithms on rainfall data according to Mean_x000D__x000D_
Absolute Percentage Error (MAPE) measure is (ARIMA+NN) which gave the MAPE = 21%. On the other hand, (ARIMA) is the best algorithm applied to wells’ production data which achieved MAPE= 4.9%. The results have shown that after five years the amounts of rainfall and groundwater production in comparison with the period from (2013 to 2017) will decrease by 8.4%, 1.05%, respectively. Based on these results, the salinity is expected to increase in the coming years making the groundwater unusable.

توثيق المرجعي (APA)

Abu Amra, Ihsan A (2018). Medium-Term Forecasting for Rain Amounts and Groundwater Production (Dear El-Balah City as A Case Study). الجامعة الإسلامية بغزة. 27002