A stochastic model of domestic water consumption and greywater generation in the Al Ain city
Paper
Paper/Presentation Title | A stochastic model of domestic water consumption and |
---|---|
Presentation Type | Paper |
Authors | |
Author | Chowdhury, R. K. |
Editors | Piantadosi, J., Anderssen, R. S. and Boland, J. |
Journal or Proceedings Title | Proceedings of the 20th International Congress on Modelling and Simulation (MODSIM2013) |
Journal Citation | pp. 3148-3154 |
Number of Pages | 7 |
Year | 2013 |
Publisher | Modelling and Simulation Society of Australia and New Zealand |
Place of Publication | Australia |
ISBN | 9780987214331 |
Digital Object Identifier (DOI) | https://doi.org/10.36334/modsim.2013.L20.chowdhury |
Web Address (URL) of Paper | https://www.mssanz.org.au/modsim2013/L20/chowdhury.pdf |
Web Address (URL) of Conference Proceedings | https://mssanz.org.au/modsim2013/papersbysession.html |
Conference/Event | 20th International Congress on Modelling and Simulation (MODSIM2013) |
Event Details | Rank C C C C C |
Event Details | 20th International Congress on Modelling and Simulation (MODSIM2013) Parent International Congress on Modelling and Simulation Delivery In person Event Date 01 to end of 06 Dec 2013 Event Location Adelaide, Australia Event Venue Adelaide Convention Centre Event Web Address (URL) |
Abstract | The sources of urban water in the United Arab Emirates are groundwater, desalinated water and treated wastewater. About three-quarters of desalinated water are used for irrigation to amenity plantations. Water consumption in major cities varies between 170 and 200 liter per capita per day (Lpcd) in flats and between 270 and 1760 Lpcd in villas. Irrigation to roadside plants, home gardens and to recreation areas has been increasing in the region with the rapid growth of its urban development. Diversification of water sources and water demand reduction are therefore considered two vital tools for the security of urban water supplies. Currently about 98% of municipal wastewater are centrally collected through an efficient sewerage networks and then treated for reuse to provide irrigation to roadside plantations. The treated wastewater is not conveyed to houses because of the necessity of dual reticulation systems. Reuse of greywater (household wastewater except from kitchen and toilet) for non-potable consumptions (gardening and toilet flush) can be an alternative. The objective of this study is to investigate the potential for decentralized (individual houses) harvesting and reuse of greywater in Al Ain city for non-potable consumptions. An attempt has been undertaken to estimate domestic water consumptions and greywater generation in the city. The frequency and water volume of personal water uses (shower, ablution, toothbrush, hand wash, face wash, toilet flush) and family water uses (laundry, dish wash, home clean, car wash, pet wash, gardening) were estimated from 100 homes randomly distributed across the city. Their probability distributions were fitted using the normal, log-normal, gamma and logistic distributions. The estimated average greywater generation rate was found to be 195 Lpcd. For personal water uses, highest consumption was observed in shower, toilet flush and ablution accordingly. About 70% respondents considered greywater can be reused for gardening. Considering the high variability of water uses frequency and time requirements, the probabilistic model is recommended for greywater quantitative analysis. |
Keywords | water consumption, greywater generation, water uses frequency, probability distribution |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 400513. Water resources engineering |
Byline Affiliations | United Arab Emirates University, United Arab Emirates |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q4vq4/a-stochastic-model-of-domestic-water-consumption-and-greywater-generation-in-the-al-ain-city
Download files
512
total views14
total downloads1
views this month1
downloads this month