Record Details

Prediction of Monthly Fluoride Content in Tigris River using SARIMA Model in R Software

Journal of Engineering


Field	Value

Title	Prediction of Monthly Fluoride Content in Tigris River using SARIMA Model in R Software

Creator	Alsaqqar, Awatif Soaded Khudair, Basim Hussein Faraj, Rasha Attwan

Description	The need to create the optimal water quality management process has motivated researchers to pursue prediction modeling development. One of the widely important forecasting models is the sessional autoregressive integrated moving average (SARIMA) model. In the present study, a SARIMA model was developed in R software to fit a time series data of monthly fluoride content collected from six stations on Tigris River for the period from 2004 to 2014. The adequate SARIMA model that has the least Akaike's information criterion (AIC) and mean squared error (MSE) was found to be SARIMA (2, 0, 0) (0,1,1). The model parameters were identified and diagnosed to derive the forecasting equations at each selected location. The correlation coefficient between the actual and predicted values for fluoride concentration at the six locations, Al-Karakh, East Tigris, Al-Wathbah, AL-Karamah, Al-Rashid and Al-Wahda WTP intakes, was 0.93, 0.82, 0.86, 0.90, 0.83 and 0.89, respectively. Model verification results indicated that the model forecasting outputs rationally estimated the actual monthly fluoride content in the selected locations.

Publisher	College of Engineering \| University of Baghdad

Date	2016-08-01

Type	info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article

Format	application/pdf

Identifier	http://joe.uobaghdad.edu.iq/index.php/main/article/view/156

Source	مجلة الهندسة; مجلد 22 عدد 8 (2016): Journal of Engineering (Eng. J.); 75-85 Journal of Engineering; Vol 22 No 8 (2016): Journal of Engineering (Eng. J.); 75-85 2520-3339 1726-4073

Language	eng

Relation	http://joe.uobaghdad.edu.iq/index.php/main/article/view/156/139

Rights	Copyright (c) 2016 Eng. J.