Surface Water Quality Trends and Regression Model through SPSS in Udaipur, Rajasthan

Abstract

Surface water quality status and trend of Udaipur's main lakes namely, Fatehsagar, Pichola lake and Udaisagar has been identify through 10 years data collected from ENVIS Centre under on Control of Pollution of Water, Air and Noise, hosted by Central Pollution Control Board. Water quality data was collected for the parameters like BOD, DO, pH, Conductivity, NN, Fecal coliform, Total coliform to determine the water pollution level and water treatment requirements. Overall water quality status has been improved during 2016 to 2019 due to waste water treatment plant. Udaisagar is most polluted lake among three lakes. Fecal coliform was suddenly increased in 2018 due to leakage of sewage line near the Pichola Lake. These lakes are interconnected and very useful for drinking, industrial, agricultural and tourism purpose and proper maintenance will be helpful for all dimensional growth of the city. A regression model for BOD was also developed for these lakes. Dependency of Temperature, pH, Dissolved oxygen, NN, Fecal coliform and Total coliform were checked on BOD through SPSS multiple regression analysis. It is found that only Temperature and Total Coliform affects the values of BOD. The variance analysis showed p-values of < 0.05 and no multicollinearity was diagnosed, with VIF values of < 10.

Impact of supervisor phubbing on workplace incivility and workplace presenteeism: mediation and moderation effect of self-esteem and power distance

“…To analyze the relationships among the variables, the Pearson correlation analysis was performed which provides the value of Pearson correlation along with the strength of relationship between variables (Kafle, 2019). To find the effect of the independent variable on the dependent variable (Choudhary, 2021), the regression analysis was performed. The value of R, R 2 and the value of significance showed the impact of one variable on other.…”

“…The value of R, R 2 and the value of significance showed the impact of one variable on other. The significance of the correlations among the independent and the dependent variables was then further evaluated using a regression analysis (Choudhary, 2021). As, mediating and moderating variables were present in the research model, so the Hayes Process was used to examine the impact of these variables on the relationship among independent and dependent variables (Han, 2022).…”