Time series investigation on spatial and temporal disparity of sodium in groundwater within Abuja, Northern Nigeria
1 Civil Engineering Department, Federal University of Technology Akure, Ondo State, Nigeria.
2 Civil Engineering Department, Federal University Oye-Ekiti, Ekiti State, Nigeria.
Research Article
World Journal of Advanced Science and Technology, 2022, 01(02), 011–019.
Article DOI: 10.53346/wjast.2022.1.2.0028
Publication history:
Received on 02 April 2022; revised on 06 May 2022; accepted on 08 May 2022
Abstract:
This study revealed case study on how to exploit time series investigation as extracting device to trace the transience of sodium discharge and to forecast the sodium accumulation in groundwater. Abuja North Nigeria, was chosen as study zone, and twenty-five groundwater monitoring boreholes positioned within the domain of sodium discharge were subjected to time series scrutiny. The measured sodium values in groundwater are from 55.98 to 515.45 mg/L, and compare with WHO limit of 50 mg/L. Time series scrutiny is a suitable tool for mining stimulating archetype from well-arranged series of observations. From extorting information from ACF, season model, time series modeler and CCF, the style, interesting patterns, procedures, or models around the original data set were sort out. IBM SPSS Modeller V18.x and Aq.QA time series plot, were engaged to construe the data from the monitoring information of groundwater quality.
Keywords:
Sodium; Time Series Investigation; Groundwater Contamination; Data Mining
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