A Simple Mathematical Model for Calculating Household Water Usage Based on Linear Functions

Authors

  • Yunita Widia Putri Institut Teknologi dan Sains Nahdlatul Ulama Lampung

DOI:

https://doi.org/10.69855/science.v2i3.162

Keywords:

Mathematical Model, Linear Function, Household Water Consumption, Water Conservation

Abstract

The increasing scarcity of clean water, exacerbated by population growth and climate change, calls for effective and efficient water management, especially at the household level. This study aims to develop a simple linear mathematical model to estimate daily household water consumption based on commonly observed domestic activities. The total water usage (W) is expressed as a function of key variables such as the number of residents, shower duration, laundry frequency, and dishwashing frequency, each multiplied by an empirical coefficient. These coefficients are drawn from published data to ensure representativeness. A case study conducted on a four-member household in Bandar Lampung, Indonesia, shows an estimated daily water consumption of 631.5 liters, aligning with global benchmarks. The study concludes that this linear model provides a practical and accessible framework for estimating household water use and can serve as a foundational tool for promoting water conservation strategies and informing public policy.

References

Arbués, F., García-Valiñas, M. Á., & Martínez-Espiñeira, R. (2010). Estimation of residential water demand: A state-of-the-art review. Journal of Socio-Economics, 38(4), 625–634. https://doi.org/10.1016/j.socec.2009.03.015

Breyer, B., Chang, H., & Parandvash, G. H. (2022). Household water use and conservation: A data-driven approach. Water Resources Research, 58(4). https://doi.org/10.1029/2022WR032510

Dolnicar, S., & Hurlimann, A. (2010). Desalinated versus recycled water: What does the public think? Sustainable Development, 18(3), 135–148. https://doi.org/10.1002/sd.446

Duncan, H. P., & Mitchell, V. G. (2008). A stochastic demand generator for domestic water use. Journal of the American Water Resources Association, 44(3), 684–693. https://doi.org/10.1111/j.1752-1688.2008.00186.x

Environmental Protection Agency (EPA). (2023). Water use statistics for residential homes. Retrieved from https://www.epa.gov

Fielding, K. S., Russell, S., Spinks, A., & Mankad, A. (2012). Determinants of household water conservation: The role of demographic, infrastructure, behavior, and psychosocial variables. Water Resources Research, 48(10). https://doi.org/10.1029/2012WR012398

Gleick, P. H. (2021). The world’s water volume 9: The biennial report on freshwater resources. Island Press.

Grafton, R. Q., Ward, M. B., & Kompas, T. (2017). Determinants of residential water consumption: Evidence and analysis from a 10-year panel. Applied Economics, 49(19), 1891–1901. https://doi.org/10.1080/00036846.2016.1221045

Inman, D., & Jeffrey, P. (2006). A review of residential water conservation tool performance and influences on implementation effectiveness. Urban Water Journal, 3(3), 127–143. https://doi.org/10.1080/15730620600961288

Jia-hong, L., Yue, L., & Jian-hua, W. (2013). A mathematic model for rational domestic water demand considering climate and economic development factors. Journal of Hydraulic Engineering, 44(10), 1208–1214. https://doi.org/10.13243/j.cnki.slxb.2013.10.017

Lombardi, F., Silvagni, G., Sirini, P., Passariello, G., & Cintura, S. (2018). Daily water demand: A probabilistic approach to evaluate household behavior. Water, 10(6), 696. https://doi.org/10.3390/w10060696

Rachunok, B., Verma, A., & Fletcher, S. (2023). Predicting and understanding residential water use with interpretable machine learning. Environmental Research Letters, 18(12), 124015. https://doi.org/10.1088/1748-9326/ad1434

Wentz, E. A., Kim, Y., & Myint, S. W. (2014). Factors influencing water consumption in multifamily housing in Phoenix, Arizona. Professional Geographer, 66(3), 501–510. https://doi.org/10.1080/00330124.2013.872144

Willis, R. M., Stewart, R. A., Panuwatwanich, K., Jones, S., & Kyriakides, A. (2011). Alarming visual display monitors affecting shower end use water and energy conservation in Australian residential households. Resources, Conservation and Recycling, 57, 165–173. https://doi.org/10.1016/j.resconrec.2011.09.004

Zhang, J., Li, Y., & Yu, L. (2019). Urban residential water demand modeling using survey data and statistical analysis. Water Resources Management, 33(5), 1751–1764. https://doi.org/10.1007/s11269-018-2196-3

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Published

2025-07-24

How to Cite

Yunita Widia Putri. (2025). A Simple Mathematical Model for Calculating Household Water Usage Based on Linear Functions. Science Get Journal, 2(3), 1–9. https://doi.org/10.69855/science.v2i3.162

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