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...
Saved in:
Main Authors: | , , , |
---|---|
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.upm.eprints.73410 |
---|---|
record_format |
eprints |
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 |
_version_ |
1691734451129679872 |
score |
13.164666 |