Analysis of Household Daily Water Consumption Dynamics in the Tropical Environment

Abstract

Understanding daily water use determinants is critical to sustainable water access and its efficient use at household level. To pursue this objective, primary data were generated through a survey of 276 respondents across the 5 quarters into which the city of Iwo is divided. 67.5% of the respondents were between 19 and 45 years old while 35.5% were between 46 and 65 years old and the remaining 3.9% comprised of those above 65 years. The results of factor analysis (FA) showed that 12 of the 40 factors analyzed were significant determinants of daily water use in homes. The 12 factors explained 85.794% of the observed variation in household daily water use. The factors in descending order were (i) closeness to water source; (ii) night time baths; (iii) household cooking; (iv) Sunday activities; (v) water demands of the dry season; (vi) morning time water use; (vii) household size; (viii) respondents’ attitude; (ix) water availability in the dry season; (x) break in water flow; (xi) social events; and (xii) source of water. Further evaluation condensed the results into four categories, namely, (i) season-associated information; (ii) household-related information; (iii) time of the day; and (iv) water source-related information. The result of correlation analysis showed weak associations among 83.33% of the variables, indicating that each variable should be treated separately from others in the matter relating to daily variation in home water use. The study concluded that household-related information and time of the day (contributing 62.02% of the absolute explanation) are most significant to daily variation in water use at the household level and should be considered when prioritizing effective policies for water use and management.

Understanding Environmental Consequences of Quarry Operations: Residents’ Perception Study in the Neighbourhood of a Quarry in Osun state, Nigeria

“…Factor Analysis (FA) was chosen for this analysis due to its ability to identify underlying factors or dimensions within a dataset and to determine the variables that contribute most significantly to residents’ perceptions of the environmental consequences of quarry activities. The statistic has been successfully used to achieve this same purpose by Ogunbode et al, 23 Ogunbode et al 24 and Sigudla and Maritz. 25 A dataset is ‘factorable’ indicated that it can be decomposed or factorised to reveal underlying structures or latent variables that explain patterns within the data.…”

Estimating domestic water usage in a tropical environment: exploring socio-demographic perspectives

“…An all-encompassing understanding of the diverse factors influencing water resource management at various spatial and temporal levels is a prerequisite for achieving SDG Target 6 (Akuoko-Asibey et al 1993, United Nations Development Programme (UNDP) 2016, Gumez et al 2019, Ogunbode et al 2023). According to the UNDP (2016), SDG 6 emphasizes the importance of water-related ecosystems, stressing the need to protect and restore rivers, lakes, and wetlands.…”

“…For instance, Martinez-Santos (2017) submitted from his investigation in southern Mali that water demand on a daily basis is greatly influenced by diverse variables such as household size, status of water accessibility, seasonal variation, and the economic power of the household head, among others. According to Ifabiyi (2014, 2017) and Ogunbode et al (2023), household characteristics offered significant explanations for household daily water use in Iwo, Nigeria.…”

Determinants of Community Participation in Sustainable Management of Rural Water Supply System: Evidence from District Lahore, Pakistan

“…Existing empirical evidence (Bayu et al, 2020;Puskás et al, 2021;Widyarani et al, 2022& Ogunbode et al, 2023 indicated that the majority of water supply projects fail in rural communities within three years after development. These water supply projects fail due to the least interest of community members regarding decision-making, site identification, planning, execution, monitoring, evaluation and management process and, above all, unawareness and lack of basic technical and management skills (Iduseri et al, 2021).…”