Literature DB >> 25986778

Discriminant analysis for characterization of hydrochemistry of two mountain river basins of contrasting climates in the southern Western Ghats, India.

Jobin Thomas1, Sabu Joseph, K P Thrivikramji.   

Abstract

Discriminant analysis (DA) was performed on river hydrochemistry data for three seasons (i.e., monsoon (MON), post-monsoon (POM), and pre-monsoon (PRM)) to examine the spatio-temporal hydrochemical variability of two mountain river basins (Muthirapuzha River Basin (MRB) and Pambar River Basin (PRB)) of the southern Western Ghats, India. Although the river basins drain tropical mountainous terrain, climate and degree of anthropogenic disturbances show significant differences (i.e., humid, more disturbed MRB vs semiarid, less disturbed PRB). In MRB, TDS, Na(+), pH, Mg(2+), and K(+) are the attributes responsible for significant hydrochemical variations between the seasons, while Cl(-), TH, and Na(+) are the predictors in PRB. The temporal discriminant models imply the importance of rainfall pattern, relative contribution of groundwater toward stream discharge and farming activities in hydrochemistry between the seasons. Inclusion of hydrochemical attributes (in the temporal discriminant functions) that can be derived from both natural and anthropogenic sources suggests that ionic enrichment strongly depends on the seasons, and is mainly due to the variability in the intensity of anthropogenic activities as well as fluctuations in river discharge. In spatial discriminant models, Cl(-) is the only variable responsible for hydrochemical variations between the basins (during MON), whereas Si discriminates during POM and PRM, implying the role of atmospheric supply, anthropogenic modifications as well as intensity of weathering. In the spatial discrimination models, misclassification of hydrochemistry data between MRB and PRB can be attributed to the overlapping effect of humid climate of MRB extending toward the upstream of (semiarid) PRB. This study underscores the versatility of DA in deciphering the significance of climatic controls on hydrochemical composition of tropical mountain rivers.

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Year:  2015        PMID: 25986778     DOI: 10.1007/s10661-015-4589-0

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  12 in total

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5.  Spatio-temporal variation in the hydrochemistry of Tawa River, Central India: effect of natural and anthropogenic factors.

Authors:  Ashwini Mehto; G J Chakrapani
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6.  On the use of multivariate statistical methods for combining in-stream monitoring data and spatial analysis to characterize water quality conditions in the White River basin, Indiana, USA.

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Journal:  Environ Monit Assess       Date:  2011-04-01       Impact factor: 2.513

7.  Assessment of temporal variation in water quality of some important rivers in middle Gangetic plains, India.

Authors:  Nipunika Rani; Ravindra Kumar Sinha; Kriteshwar Prasad; Dilip Kumar Kedia
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8.  Water quality and dissolved inorganic fluxes of N, P, SO₄, and K of a small catchment river in the Southwestern Coast of India.

Authors:  D Padmalal; S I Remya; S Jissy Jyothi; B Baijulal; K N Babu; R S Baiju
Journal:  Environ Monit Assess       Date:  2011-05-05       Impact factor: 2.513

9.  Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River (India)--a case study.

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Journal:  Water Res       Date:  2004-11       Impact factor: 11.236

10.  Water quality in the upper Han River basin, China: the impacts of land use/land cover in riparian buffer zone.

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