Classifying sources of nitrate contamination in an alluvial deposit aquifer system using hydrogeochemical properties and multivariate statistical techniques

This study determined nitrate concentration and identify the classifying sources of nitrate pollution in the alluvial deposit aquifer system in Bachok, Kelantan. Materials and Methods: A total of 300 groundwater samples were collected in two different areas; agricultural area (150 samples) and non-a...

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Main Authors: Syed Ismail, Sharifah Norkhadijah, Shamsuddin, Aida Soraya, Ho, Yu Bin, Zainal Abidin, Emilia
Format: Article
Language:English
Published: Faculty of Medicine and Health Sciences, University Putra Malaysia 2018
Online Access:http://psasir.upm.edu.my/id/eprint/73410/1/GROUND.pdf
http://psasir.upm.edu.my/id/eprint/73410/
https://medic.upm.edu.my/upload/dokumen/2018080309012304_MJMHS_Aug_2018.pdf
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spelling my.upm.eprints.734102021-02-12T09:12:17Z http://psasir.upm.edu.my/id/eprint/73410/ Classifying sources of nitrate contamination in an alluvial deposit aquifer system using hydrogeochemical properties and multivariate statistical techniques Syed Ismail, Sharifah Norkhadijah Shamsuddin, Aida Soraya Ho, Yu Bin Zainal Abidin, Emilia This study determined nitrate concentration and identify the classifying sources of nitrate pollution in the alluvial deposit aquifer system in Bachok, Kelantan. Materials and Methods: A total of 300 groundwater samples were collected in two different areas; agricultural area (150 samples) and non-agricultural area (150 samples). The samples were analyzed for nitrate and other parameters such as pH, EC, NH4+, TDS, turbidity and salinity. The multivariate analyses were used to identify factors that govern the groundwater quality and potential nitrate sources in the study area. Results: Samples in the agricultural area were slightly acidic (5.89 ± 0.67), contained high nitrate (15.10 ± 15.90 mg/L NO3-N), NH4+ (0.82 ± 1.24 mg/L) and turbidity (3.25 ± 2.78 NTU). The principal component analysis (PCA) have identified the groundwater quality in the study area was influenced by the natural processes and anthropogenic activities. Based on the hierarchal cluster analysis (HCA), Cluster II in the agricultural area was identified to be most heavily nitrate contamination, while Cluster III in the non-agricultural area was identified to be strongly affected by seawater intrusion. Conclusion: The findings of this study are useful for developing protection alternatives of private well waters to prevent further deterioration of groundwater quality by nitrate such as control of nitrogen fertilizer use, manure applications and other agricultural practices in the agricultural area. In order to reduce the health risk of nitrate, private well water users in this area should be advised to treat their water or find alternative sources for drinking. Faculty of Medicine and Health Sciences, University Putra Malaysia 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/73410/1/GROUND.pdf Syed Ismail, Sharifah Norkhadijah and Shamsuddin, Aida Soraya and Ho, Yu Bin and Zainal Abidin, Emilia (2018) Classifying sources of nitrate contamination in an alluvial deposit aquifer system using hydrogeochemical properties and multivariate statistical techniques. Malaysian Journal of Medicine and Health Sciences, 14 (SP1). 30 - 39. ISSN 1675-8544 https://medic.upm.edu.my/upload/dokumen/2018080309012304_MJMHS_Aug_2018.pdf
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description This study determined nitrate concentration and identify the classifying sources of nitrate pollution in the alluvial deposit aquifer system in Bachok, Kelantan. Materials and Methods: A total of 300 groundwater samples were collected in two different areas; agricultural area (150 samples) and non-agricultural area (150 samples). The samples were analyzed for nitrate and other parameters such as pH, EC, NH4+, TDS, turbidity and salinity. The multivariate analyses were used to identify factors that govern the groundwater quality and potential nitrate sources in the study area. Results: Samples in the agricultural area were slightly acidic (5.89 ± 0.67), contained high nitrate (15.10 ± 15.90 mg/L NO3-N), NH4+ (0.82 ± 1.24 mg/L) and turbidity (3.25 ± 2.78 NTU). The principal component analysis (PCA) have identified the groundwater quality in the study area was influenced by the natural processes and anthropogenic activities. Based on the hierarchal cluster analysis (HCA), Cluster II in the agricultural area was identified to be most heavily nitrate contamination, while Cluster III in the non-agricultural area was identified to be strongly affected by seawater intrusion. Conclusion: The findings of this study are useful for developing protection alternatives of private well waters to prevent further deterioration of groundwater quality by nitrate such as control of nitrogen fertilizer use, manure applications and other agricultural practices in the agricultural area. In order to reduce the health risk of nitrate, private well water users in this area should be advised to treat their water or find alternative sources for drinking.
format Article
author Syed Ismail, Sharifah Norkhadijah
Shamsuddin, Aida Soraya
Ho, Yu Bin
Zainal Abidin, Emilia
spellingShingle Syed Ismail, Sharifah Norkhadijah
Shamsuddin, Aida Soraya
Ho, Yu Bin
Zainal Abidin, Emilia
Classifying sources of nitrate contamination in an alluvial deposit aquifer system using hydrogeochemical properties and multivariate statistical techniques
author_facet Syed Ismail, Sharifah Norkhadijah
Shamsuddin, Aida Soraya
Ho, Yu Bin
Zainal Abidin, Emilia
author_sort Syed Ismail, Sharifah Norkhadijah
title Classifying sources of nitrate contamination in an alluvial deposit aquifer system using hydrogeochemical properties and multivariate statistical techniques
title_short Classifying sources of nitrate contamination in an alluvial deposit aquifer system using hydrogeochemical properties and multivariate statistical techniques
title_full Classifying sources of nitrate contamination in an alluvial deposit aquifer system using hydrogeochemical properties and multivariate statistical techniques
title_fullStr Classifying sources of nitrate contamination in an alluvial deposit aquifer system using hydrogeochemical properties and multivariate statistical techniques
title_full_unstemmed Classifying sources of nitrate contamination in an alluvial deposit aquifer system using hydrogeochemical properties and multivariate statistical techniques
title_sort classifying sources of nitrate contamination in an alluvial deposit aquifer system using hydrogeochemical properties and multivariate statistical techniques
publisher Faculty of Medicine and Health Sciences, University Putra Malaysia
publishDate 2018
url http://psasir.upm.edu.my/id/eprint/73410/1/GROUND.pdf
http://psasir.upm.edu.my/id/eprint/73410/
https://medic.upm.edu.my/upload/dokumen/2018080309012304_MJMHS_Aug_2018.pdf
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score 13.164666