Association of Physicochemical Characteristics, Aggregate Indices, Major Ions, and Trace Elements in Developing Groundwater Quality Index (GWQI) in Agricultural Area

被引:7
|
作者
Harun, Hazimah Haspi [1 ]
Kasim, Mohamad Roslan Mohamad [1 ]
Nurhidayu, Siti [1 ]
Ash'aari, Zulfa Hanan [2 ]
Kusin, Faradiella Mohd [2 ]
Karim, Muhammad Khalis Abdul [3 ]
机构
[1] Univ Putra Malaysia, Fac Forestry & Environm, Dept Forestry Sci & Biodivers, Upm Serdang 43400, Selangor, Malaysia
[2] Univ Putra Malaysia, Fac Forestry & Environm, Dept Environm, Upm Serdang 43400, Selangor, Malaysia
[3] Univ Putra Malaysia, Fac Sci, Dept Phys, Upm Serdang 43400, Selangor, Malaysia
关键词
GWQI; PCA; agricultural; Kuala Langat; Kota Bharu; WATER-QUALITY; KUALA LANGAT; BASIN;
D O I
10.3390/ijerph18094562
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The aim of this study was to propose a groundwater quality index (GWQI) that presents water quality data as a single number and represents the water quality level. The development of the GWQI in agricultural areas is vital as the groundwater considered as an alternative water source for domestic purposes. The insufficiency of the groundwater quality standard in Malaysia revealed the importance of the GWQI development in determining the quality of groundwater. Groundwater samples were collected from thirteen groundwater wells in the Northern Kuala Langat and the Southern Kuala Langat regions from February 2018 to January 2019. Thirty-four parameters that embodied physicochemical characteristics, aggregate indicator, major ions, and trace elements were considered in the development of the GWQI. Multivariate analysis has been used to finalize the important parameters by using principal component analysis (PCA). Notably, seven parameters-electrical conductivity, chemical oxygen demand (COD), magnesium, calcium, potassium, sodium, and chloride were chosen to evaluate the quality of groundwater. The GWQI was then verified by comparing the groundwater quality in Kota Bharu, Kelantan. A sensitivity analysis was performed on this index to verify its reliability. The sensitivity GWQI has been analyzed and showed high sensitivity to any changes of the pollutant parameters. The development of GWQI should be beneficial to the public, practitioners, and industries. From another angle, this index can help to detect any form of pollution which ultimately could be minimized by controlling the sources of pollutants.
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页数:21
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