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dc.contributor.authorNoiva, Karen Marie
dc.contributor.authorFernández, John E.
dc.contributor.authorWescoat, James L.
dc.date.accessioned2020-12-08T00:44:42Z
dc.date.available2020-12-08T00:44:42Z
dc.date.issued2016-06
dc.date.submitted2016-06
dc.identifier.issn2210-6715
dc.identifier.urihttps://hdl.handle.net/1721.1/128741
dc.description.abstractThe sustainability of urban water systems is often compared in small numbers of cases selected as much for their familiarity as for their similarities and differences. Few studies examine large urban datasets to conduct comparisons that identify unexpected similarities and differences among urban water systems and problems. This research analyzed a dataset of 142 cities that includes annual per capita water use (m3/yr/cap) and population. It added a 0.5 ° grid annual water budget value (P-PET/yr) as an index of hydroclimatic water supply. With these indices of urban water supply and demand, we conducted a hierarchical cluster analysis to identify relative similarities among, and distances between, the 142 cases. While some expected groupings of climatically similar cities were identified, unexpected clusters were also identified, e.g., cities that use water at greater rates than local climatic water budgets provide. Those cities must seek water from greater distances and greater depths. They face greater water and wastewater treatment costs. To become more sustainable they must increase water use efficiency, demand management, reuse, and recycling. The significance of the population variable suggests that adding other explanatory socio-economic variables, as well as more precise water system indices, are logical next steps for comparative analysis of urban water sustainability. ©2016 The Authorsen_US
dc.description.sponsorshipRambøll Foundationen_US
dc.description.sponsorshipLiveable Cities Laben_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionofhttps://dx.doi.org/10.1016/J.SCS.2016.06.003en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceElsevieren_US
dc.titleCluster Analysis of Urban Water Supply and Demand: Toward Large-Scale Comparative Sustainability Planningen_US
dc.typeArticleen_US
dc.identifier.citationNoiva, Karen et al., "Cluster analysis of urban water supply and demand: Toward large-scale comparative sustainability planning." Sustainable Cities and Society 27 (November 2016): 484-96 doi. 10.1016/j.scs.2016.06.003 ©2016 Authorsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Architectureen_US
dc.relation.journalSustainable Cities and Societyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2019-08-05T14:49:36Z
dspace.date.submission2019-08-05T14:49:43Z
mit.journal.volume27en_US


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