~ 429 ~ Journal of Pharmacognosy and Phytochemistry 2019; 8(3): 429-433 E-ISSN: 2278-4136 P-ISSN: 2349-8234 JPP 2019; 8(3): 429-433 Received: 01-03-2019 Accepted: 03-04-2019 Perminder Singh Centre for Climate Change and Mountain Agriculture, SKUAST-K, Jammu and Kashmir, India Ovais Javeed Centre for Climate Change and Mountain Agriculture, SKUAST-K, Jammu and Kashmir, India Ikhlaq A Mir Centre for Climate Change and Mountain Agriculture, SKUAST-K, Jammu and Kashmir, India Khanday Mehraj Division of soil science SKUAST- K, Shalimar, Jammu and Kashmir,, India Prikshat Magryal Alpine Institute of management and Technology, Dehradun, Uttarakhand, India Sandeep Kumar Division of soil science SKUAST- K, Shalimar, Jammu and Kashmir, India Correspondence Perminder Singh Centre for Climate Change and Mountain Agriculture, SKUAST-K, Jammu and Kashmir, India Water quality assessment of the chporian village, Uttarakhand: India using multivariate statistical approach Perminder Singh, Ovais Javeed, Ikhlaq A Mir, Khanday Mehraj, Prikshat Magryal and Sandeep Kumar Abstract In this study water samples were collected and analyzed for physico-chemical parameters like pH, Electrical Conductivity (EC), Turbidity (Turb), Total Dissolved Solids (TDS), Calcium (Ca 2+ ), Magnesium (Mg 2+ ), Chloride (Cl - ), Total Alkalinity (TA) and Dissolved Oxygen (DO) etc, using a statistical method. There is a relationship between variables that shows that one variable causes changes in another variable. In this paper, a statistical regression analysis method for different sources at four field’s sites was calculated. This technique was studied and calculated the correlation coefficients between different physicochemical parameters of water samples. The results were also compared with the WHO water quality standards and it was concluded that most water samples do not seem to be drinking. The results have been shown to be a useful means of rapid observation of water quality through systematic calculations of parametric statistics between water parameters and multivariate analysis. Keywords: Regression equation, water quality parameters, correlation coefficient method Introduction Water is one amongst the most vital and most precious natural resources. It is essential within the lifetime of all living organisms from the simplest plant and microorganisms to the foremost complex living system known as the humans. Easy fresh water availability is a big problem because 80% of the rivers become polluted (Singh et al. 2002) [8] . Combination with the chemical formula H2o of hydrogen and oxygen atoms known to constitute 70% of the most abundant compound on earth surface. It has unique chemical and physical properties (Onifade & Ilori 2008) [6] . Unchecked disposal of solid waste and wastewater and excessive use of fertilizers are deteriorating the water quality (Thangavelu 2013) [10] The failure in solving this crisis leads to poor water quality in natural water resources (Abdalkarim et al. 2016) [1] The primary causes of groundwater contamination are the uncontrolled disposal of industrial and urban waste and the use of chemicals in agriculture (fertilizers, herbicides, and pesticides). Over the past decades, groundwater has been drastically polluted by increased human activity. As a result, there have been several cases of waterborne disease which are a sources of health risks (APHA 1998) [2] : Periodic water quality monitoring is crucial to understand the degradation in quality and also the planning of remedial actions to control further damage. Materials and methods Ground water samples were collected from four different fields namely: (a) Field I (Sabli) (b) Field II (Sabli Talli) (c) Field III (Sabli Malli) and (d) Field IV (Choparyali) as in Table 2 Collection, Preparation of Water Samples and Analysis One litre water samples were taken in transparent plastic container as possible to avoid unpredictable changes in physico-chemical characteristics from each sampling sites. Laboratory samples were stored in ice at 4 o C until transport for analysis. Sample testing was carried out in accordance with the APHA (1998) [2] , S.K. procedure. Trivedy and Goel (1986) [11] and Mati (2004) [4] . At sampling sites, pH, electric conductivity and turbidity were estimated. Each sample of water quality was characterized for four permanent stations and laboratory samples were stored in ice at 4 o C until analysis was carried out and determined by method according to table 1. Water Quality Analysis The Water Samples were collected from four completely different places within the Morning Hours. The Water samples were immediately brought in to Laboratory for the Estimation of various Physico-chemical Parameters like Calcium & Magnesium, Chloride.