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All Journal Bulletin of Electrical Engineering and Informatics
Megat Syahirul Amin Megat Ali
Universiti Teknologi MARA (UiTM) Shah Alam
Electrical & Electronics Engineering

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Spatial interpolation method comparison for physico-chemical parameters of river water in Klang River using MATLAB Azhar Jaffar; Norashikin M. Thamrin; Megat Syahirul Amin Megat Ali; Mohamad Farid Misnan; Ahmad Ihsan Mohd Yassin; Noorolpadzilah Mohamed Zan
Bulletin of Electrical Engineering and Informatics Vol 11, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i4.3615

Abstract

Water quality is one of the most highly debated issues worldwide at the moment. Inadequate water supplies affect human health, hinder food production, and degrade the environment. Using contemporary technology to analyze pollution statistics can help solve pollution issues. One option is to take advantage of advancements in intelligent data processing to conduct hydrological parameter analysis. To perform conclusive water quality studies, a lot of data is necessary. Unfilled data (information gaps) in the long-term hydrological data set may be due to equipment faults, collection schedule delays, or the data collection officer’s absence. The lack of hydrological data skews its interpretation. Therefore, interpolation is used to recreate and fill missing hydrological data. From 2012 to 2017, the Klang River’s biochemical oxygen demand (BOD) in Selangor, Malaysia, was sampled. This study examined three methods of interpolation for their effectiveness using the MATLAB software: piecewise cubic hermite interpolating polynomial (PCHIP), cubic Spline data interpolation (Spline), and modified Akima partitioned cubic hermite interpolation (Makima). The accuracy is assessed using root mean square error (RMSE). All interpolation algorithms offer excellent results with low RMSE. However, PCHIP delivers the best match between interpolated and original data.
Co-Authors Ahmad Ihsan Mohd Yassin Azhar Jaffar Mohamad Farid Misnan Noorolpadzilah Mohamed Zan Norashikin M. Thamrin