title: Multivariate analysis of groundwater quality data of District Jodhpur, Rajasthan (India).
abstract: Multivariate analysis can be successfully used to determine the dominating constituents, which control the groundwater quality of a region. The ground water quality data of district Jodhpur was grouped as shallow aquifer (< 40 m depth) and deep aquifer (> 40 m depth). Principal Component Analysis was used to predict the dominating water quality constituents and it revealed that five principal components are accounted for the total chemical variability in the ground water quality of both aquifers. The common constituents-fluoride, nitrate, pH and potassium have perceptible influence on the quality of ground water of both aquifers of district Jodhpur.
authors.affiliation: National Institute of Hydrology, Roorkee-247 667.
authors.forename: M K
authors.initials: MK
authors.lastname: Sharma
authors.forename: C K
authors.initials: CK
authors.lastname: Jain
mesh_terms: D004784:Environmental Monitoring / Q000379:methods*; D005459:Fluorides / Q000032:analysis; D006863:Hydrogen-Ion Concentration; D007194:India; D015999:Multivariate Analysis; D009566:Nitrates / Q000032:analysis; D011188:Potassium / Q000032:analysis; D014867:Water / Q000032:analysis* / Q000737:chemistry; D014873:Water Pollutants / Q000032:analysis*
chemical_list: D009566:Nitrates; D014873:Water Pollutants; D014867:Water; D005459:Fluorides; D011188:Potassium