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Data associated with 'Projections of Domestic Water Demand over the Long-Term: A Case Study of London and the Thames Valley'

Nawaz, Rizwan and Rees, Philip and Clark, Stephen and Mitchell, Gordon and McDonald, Adrian and Kalamandeen, Michelle and Lambert, Chris and Henderson, Ross (2019) Data associated with 'Projections of Domestic Water Demand over the Long-Term: A Case Study of London and the Thames Valley'. University of Leeds. [Dataset] https://doi.org/10.5518/376

This item is part of the Long-Term Population and Property Forecasts for Thames Water collection.

Dataset description

The dataset consists of files used in carrying out analysis reported in the Journal of Water Resources Planning and Management paper published online in September 2019. Please note that these files do not contain Domestic Water User Survey data for which Thames Water Utilities Ltd. retains Intellectual Property Rights. Users should contact co-author Ross Henderson at TWUL for permission to access the SPSS saved system file containing the processed DWUS data. The “Water Demand Projections Final” provides summary data on projected numbers of households by type and Water Resource Zone. The underpinning population projections data are available via http://www.ethpop.org or the UK Data Archive via https://doi.org/10.5255/UKDA-SN-852508 SN (Study Number): 852508 Title: NEWETHPOP - Ethnic population projections for UK local areas 2011-2061. The methods for transforming projected populations into projected households are described in Rees, P., Clark, S. and Nawaz, R. (2019) Household Forecasts for the Planning of Long-Term Domestic Water Demand: Application to London and the Thames Valley. Population, Space and Place., in press.

Subjects: L000 - Social studies > L700 - Human & social geography
F000 - Physical sciences > F800 - Physical geographical sciences > F810 - Environmental geography
Divisions: Faculty of Environment > School of Geography
Related resources:
LocationType
http://www.ethpop.orgDataset
https://doi.org/10.5255/UKDA-SN-852508Dataset
http://eprints.whiterose.ac.uk/141075/Publication
https://doi.org/10.1061/(ASCE)WR.1943-5452.0001088Publication
Date deposited: 07 Dec 2018 12:21
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/466

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