The present study envisages the application of multivariate analysis, water utility class and conventional graphical representation to reveal the hidden factor responsible for deterioration of water quality and determine the hydrochemical facies and its evolution processes of water types in Nalagarh valley, India.
Based on univariate associations, the following variables were included in multivariate analysis: water source, cattle ownership, gel randomisation group and consistent gel use.
The collective results of multivariate analysis and Water Quality Index implies that most of the areas around the mining area are dominated by the good to excellent quality water for different purposes.
The hydrochemical and multivariate analysis of surface water samples reveals the present status of surface water quality with respect to the trace metals in and around the Jia Bharali river basin of North Brahmaputra Plain, India.
(ii) Similar to other copula families (e.g., Archimedean copulas, meta-elliptical copulas, vine copulas, etc)., the MECC may be applied for multivariate analysis in hydrology and water engineering, including multivariate rainfall analysis, multivariate drought analysis, spatial analysis of drainage networks, and spatial analysis of water quality as few examples.
In multivariate analysis economic status and water available at handwashing locations were significantly associated with hand cleanliness among both caregivers and children.
Based on the results of the multivariate analysis consumption of tap water was the only statistically significant independent risk factor of gastroenteritis (RR = 2.34, 95% C.I.: 1.55-3.53).
In multivariate analysis, with adjustment for water pH, temperature, and turbidity, low pH (OR [95% CI] = 0.5 [0.3–0.8], P = 0.03) and high turbidity (OR [95% CI] = 1.0039 [1.0006–1.0072], P = 0.02) were independently associated with the presence of B. pseudomallei.
Based on the results of the multivariate analysis, consumption of tap water was the only statistically significant independent risk factor of gastroenteritis (RR = 2.34, 95% C.I.: 1.55-3.53).; a finding supported by the shape of the epidemic curve which referred to a common point source outbreak with secondary cases.
Multivariate analysis (PCA) indicated that physical water quality parameters had some degree of responsibility for the seasonal responses found.
$Not included in multivariate analysis for colinearity with tap water in the ICU.
