DOI : https://doi.org/10.18517/ijaseit.7.1.1128

Application of Mann-Kendall in Analyzing Water Quality Data Trend at Perlis River, Malaysia

Mohd Saiful Samsudin (1), Saiful Iskandar Khalit (2), Hafizan Juahir (3), Mohd Fahmi Mohd Nasir (4), Mohd Khairul Amri Kamarudin (5), Fathurrahman Lananan (6)
(1) East Coast Environmental Research Institute, Universiti Sultan Zainal Abidin, Gong Badak, 21300 Kuala Nerus, Terengganu, Malaysia
(2) East Coast Environmental Research Institute, Universiti Sultan Zainal Abidin, Gong Badak, 21300 Kuala Nerus, Terengganu, Malaysia
(3) East Coast Environmental Research Institute, Universiti Sultan Zainal Abidin, Gong Badak, 21300 Kuala Nerus, Terengganu, Malaysia
(4) Faculty of Environmental Studies, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
(5) East Coast Environmental Research Institute, Universiti Sultan Zainal Abidin, Gong Badak, 21300 Kuala Nerus, Terengganu, Malaysia
(6) East Coast Environmental Research Institute, Universiti Sultan Zainal Abidin, Gong Badak, 21300 Kuala Nerus, Terengganu, Malaysia
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How to cite (IJASEIT) :
Samsudin, Mohd Saiful, et al. “Application of Mann-Kendall in Analyzing Water Quality Data Trend at Perlis River, Malaysia”. International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 1, Feb. 2017, pp. 78-85, doi:10.18517/ijaseit.7.1.1128.
Citation Format :
Trend detection of hydrologic da a is useful in the investigation of water quality parameters. In this study, thirty physical-chemical variables on water quality of Perlis River Basin were collected by Department of Environment (DOE) Malaysia from 2003 to 2007 were analyzed using the non-parametric Mann-Kendall Temporal test. Based on this study, the results acknowledged parameter variation over station due to the increasing of Cr concentration and reduction of COD along Perlis River Basin. Correlation coefficients were calculated to identify the strength of the linear relationship between two variables and this unveiled that DS and SS have the strongest correlation.

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