Domestic water uses: characterization of daily cycles in the north region of Portugal

Sci Total Environ. 2013 Aug 1:458-460:444-50. doi: 10.1016/j.scitotenv.2013.04.018. Epub 2013 May 17.

Abstract

Nowadays, there is an increasing discussion among specialists about water use efficiency and the best measures to improve it. In Portugal, there have been a few attempts to expand the implementation of in situ water reuse projects. However, there is a lack of information about indoor water uses and how they are influenced by sociodemographic characteristics. There are several studies that investigate per capita global water usage, but the partitioning of this volume per domestic device and daily cycles is yet unknown. Identified as one of the key questions in sustainable building design, the water end-use is of primary importance to the design of hydraulic networks in buildings. In order to overcome this lack, a quantitative characterization of daily water uses for each domestic device was performed, based on a weekly monitoring program in fifty-two different dwellings in the northern region of Portugal (Vila Real, Valpaços and Oporto). For forty of them, each water usage of different domestic devices of each dwelling was recorded. At the same time, the remaining twelve dwellings were also monitored in order to register the volume of water consumed in each utilization of each domestic device. This paper presents the results of this complete monitoring program, using collected data to establish indoor water use patterns for each domestic device, aiming to support a more realistic approach to residential water use. The daily cycles in the different cities, where the monitoring program was performed, are also presented, in order to evaluate possible influences of sociodemographic characteristics.

MeSH terms

  • Conservation of Natural Resources / statistics & numerical data*
  • Drinking Behavior
  • Hand Disinfection
  • Human Activities / statistics & numerical data*
  • Humans
  • Portugal
  • Socioeconomic Factors
  • Water Resources / statistics & numerical data*