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Article

The Assessment of Climate Variables and Geographical Distribution on Residential Drinking Water Demand in Ethiopia

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Department of Urban Water Management, Technical University of Berlin, Gustav-Meyer-Allee 25, 13355 Berlin, Germany
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Department of Water Supply and Environmental Engineering, Arba Minch University, Arba Minch P.O. Box 21, Ethiopia
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Author to whom correspondence should be addressed.
Academic Editor: Marco Franchini
Water 2022, 14(11), 1722; https://doi.org/10.3390/w14111722
Received: 12 April 2022 / Revised: 18 May 2022 / Accepted: 24 May 2022 / Published: 27 May 2022
(This article belongs to the Special Issue Impacts of Climate Change Mitigation on Water Management)
Water managers have increasingly shown that demand management solutions are more important than searching for alternative sources to resolve the challenges and shortages of water supply services. This study identifies the impact of climate variables on residential water demand in three geographically and spatially dispersed towns (Arba Minch, Ziway, and Debre Birhan) in Ethiopia. Monthly mean temperature, relative humidity, and precipitation are analyzed using multivariate regression models to identify and evaluate the impacts of the parameters on water consumption. Principal component analysis (PCA) is also used to determine the dominant independent variable affecting the rate of water consumption. Mean temperature is shown to be the dominant variable causing the changes in water consumption in Arba Minch. The water consumption at Debre Birhan is slightly affected by relative humidity. Analyzed climate variables do not affect the water consumption changes at Ziway. The main findings of this paper show that geographical distribution and other determinants are more important determinants of residential water demand. It is concluded that the analyzed climate variables are not the dominant determinants which impact drinking water consumption at the study sites. Thus, it is recommended to include relevant information about the climate variables alongside other determinants in order to enhance the water management system in evaluating and auditing water usage. View Full-Text
Keywords: water demand; climate variables; multivariate regression analysis; principal component analysis water demand; climate variables; multivariate regression analysis; principal component analysis
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MDPI and ACS Style

Timotewos, M.T.; Barjenbruch, M.; Behailu, B.M. The Assessment of Climate Variables and Geographical Distribution on Residential Drinking Water Demand in Ethiopia. Water 2022, 14, 1722. https://doi.org/10.3390/w14111722

AMA Style

Timotewos MT, Barjenbruch M, Behailu BM. The Assessment of Climate Variables and Geographical Distribution on Residential Drinking Water Demand in Ethiopia. Water. 2022; 14(11):1722. https://doi.org/10.3390/w14111722

Chicago/Turabian Style

Timotewos, Mosisa Teferi, Matthias Barjenbruch, and Beshah M. Behailu. 2022. "The Assessment of Climate Variables and Geographical Distribution on Residential Drinking Water Demand in Ethiopia" Water 14, no. 11: 1722. https://doi.org/10.3390/w14111722

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