Dataset
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://hdl.handle.net/11130/43&rft.title=Household water use statistics from Adelaide Household Water Use Study 2013&rft.identifier=http://hdl.handle.net/11130/43&rft.publisher=The University of Adelaide&rft.description=This collection contains indoor end-use statistics for 140 households in metropolitan Adelaide and the associated demographics and appliance characteristics of the households. The end-use statistics were determined through flow trace analysis of a two week period of high resolution (10s) water usage data representative of winter use. The end-use statistics include the mean and standard deviation for the volume per person per day for each end-use and the relevant characteristics of the end-use: - Shower: Duration (mins), Frequency (events/person/day), Flow rate (L/min), Efficiency (star rating) - Toilet: Flush volume (L), Frequency (events/person/day), Efficiency (e.g. 3L/6L Dual) - Washing Machine: Volume per load (L), Frequency (events/household/week), Type (Front or Top loader) - Dishwasher: Volume per load (L), Frequency (events/household/week) - Tap: Duration (seconds), Frequency (events/person/day), Flow rate (L/min) - Bath: Volume per bath (L), Frequency (events/household/week) The demographics and household characteristics include: - Household occupancy - Age of occupants - Income - Perceived water conservation level This data was collected as part of the research program of the Goyder Institute for Water Research's Optimal Water Mix for Greater Adelaide project.&rft.creator=Dr Mark Thyer&rft.creator=Miss Nicole Arbon&rft.creator=Nicole Arbon&rft.creator=Mark Thyer&rft.date=2014&rft.coverage=northlimit=-34.843469569047; southlimit=-34.987609533718; westlimit=138.54797744891; eastLimit=138.68667984149; projection=WGS84&rft_rights=This data collection is subject to the intellectual property rights arrangements agreed for the project.&rft_subject=Urban Water&rft_subject=Residential Water Use&rft_subject=Residential End-Use&rft_subject=Water Resources Engineering&rft_subject=Engineering&rft_subject=Civil Engineering&rft.type=dataset&rft.language=English Access the data

Please use the contact information below to request access to this data.

Contact Information

The University of Adelaide, Adelaide SA 5005

Licence & Rights:

view details

This data collection is subject to the intellectual property rights arrangements agreed for the project.

Access:

Other view details

Access to the data may be available under certain conditions. Please contact the data custodian for further information.

Full description

This collection contains indoor end-use statistics for 140 households in metropolitan Adelaide and the associated demographics and appliance characteristics of the households. The end-use statistics were determined through flow trace analysis of a two week period of high resolution (10s) water usage data representative of winter use.

The end-use statistics include the mean and standard deviation for the volume per person per day for each end-use and the relevant characteristics of the end-use:
- Shower: Duration (mins), Frequency (events/person/day), Flow rate (L/min), Efficiency (star rating)
- Toilet: Flush volume (L), Frequency (events/person/day), Efficiency (e.g. 3L/6L Dual)
- Washing Machine: Volume per load (L), Frequency (events/household/week), Type (Front or Top loader)
- Dishwasher: Volume per load (L), Frequency (events/household/week)
- Tap: Duration (seconds), Frequency (events/person/day), Flow rate (L/min)
- Bath: Volume per bath (L), Frequency (events/household/week)

The demographics and household characteristics include:
- Household occupancy
- Age of occupants
- Income
- Perceived water conservation level

This data was collected as part of the research program of the Goyder Institute for Water Research's Optimal Water Mix for Greater Adelaide project.

Data time period: 2013 to 2013

This dataset is part of a larger collection

Click to explore relationships graph

138.68667984149,-34.843469569047 138.68667984149,-34.987609533718 138.54797744891,-34.987609533718 138.54797744891,-34.843469569047 138.68667984149,-34.843469569047

138.6173286452,-34.915539551383

Subjects

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers