Assessing And Modelling the Impact of Household Attributes on Individual Water Consumption in Sonipat, Haryana, India

Abstract

Sustainable water use in the domestic sector requires a comprehensive understanding of per capita water consumption and its influencing factors. Accurate assessment is essential for future water demand forecasts and providing tailored solutions to different demographic and housing groups. This paper examines various household attributes and their impact on domestic water consumption, with data collected from 401 households, resulting in 2003 individual responses. The data encompassed demographic, housing, water availability and accessibility, awareness characteristics, and per capita water consumption.
Statistical analysis revealed that water consumption increases with higher income and education levels, while households adopting water conservation measures consume less water. Additionally, a lack of awareness contributes to a false sense of water abundance. Using the collected data, five models were developed with the Multiple Linear Regression (STEPWISE) technique. The model incorporating all characteristics demonstrated the highest explanatory power, accounting for 80.7% of the variation in water consumption. Overall, this study highlights the significant role of these characteristics in determining domestic water usage.