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Assessment of denitrification potential for coastal and inland sites using groundwater and soil analysis: the multivariate approach.

Authors :
Dahiru, Muntaka
Abu Bakar, Nor Kartini
Yus off, Ismail
Low, Kah Hin
Mohd, Muhammad N.
Source :
Environmental Monitoring & Assessment; May2020, Vol. 192 Issue 5, p1-19, 19p
Publication Year :
2020

Abstract

In an effort to determine the reason behind excellent nitrate remediation capacity at Kelantan region, a multivariate approach is employed to evaluate extent to which the influence of sea on soil geochemical composition affect variation pattern of groundwater quality. The results obtained from geochemical analysis of paleo-beach soil in coastal site at Bachok revealed multiple redox activity at different soil strata, involving both heterotrophic and autotrophic denitrification. In soil and water analysis, eight of the fourteen hydro-geochemical parameters (conductivity, temperature, soil texture, oxidation reduction potential, pH, total organic carbon, Fe, Cu, Mn, Cl<superscript>−</superscript>, SO<subscript>4</subscript><superscript>2−</superscript>, NO<subscript>2</subscript><superscript>−</superscript>, NO<subscript>3</subscript><superscript>−</superscript> and PO<subscript>4</subscript><superscript>3−</superscript>) measured using standard procedures were subjected to multivariate analysis. Evaluation of general variation pattern across the area reveals that the principal component analysis (PCA), hierarchical cluster analysis (HCA) and linear discriminant analysis (LDA) are in consonance with one another on apportioning three parameters (SO<subscript>4</subscript><superscript>2−</superscript>, Cl<superscript>−</superscript> and conductivity) to the coastal sites and two parameters (Fe and NH<subscript>4</subscript><superscript>+</superscript> or NO<subscript>3</subscript><superscript>−</superscript>) to inland sites. The step forward analysis of LDA reveals four parameters in order of decreasing significance as Cl<superscript>−</superscript>, Fe and SO<subscript>4</subscript><superscript>2−</superscript>, while the two-way HCA identifies three clusters on location basis, respectively. In addition to the significant data reduction obtained, the results indicate that proximity to sea and location/geological-based influence are more significant than temporal-based influence in denitrification. By extension, the research reveals that influence of labile portion of natural resources is explorable for broader application in other remediation strategies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01676369
Volume :
192
Issue :
5
Database :
Complementary Index
Journal :
Environmental Monitoring & Assessment
Publication Type :
Academic Journal
Accession number :
143301490
Full Text :
https://doi.org/10.1007/s10661-020-08276-4