Preliminary spatial-temporal statistical analysis of hourly water demand at household level

Ernesto Arandia-Perez, James G. Uber, Feng Shang, Dominic L. Boccelli, Robert Janke, David Hartman, Yeongho Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

A methodology for modeling time series of hourly urban water use is presented based on separating the data into three components: trend, seasonality, and autocorrelation. Each component is represented by a model whose parameters are estimated. The series is transformed by removing each of the three components and the last transformation produces only a random error series. In the process of identifying the most suitable model for the autocorrelation component of the series, a large number of alternative autoregressive moving average (ARMA) models are assessed in terms of statistics that measure accuracy, parsimony, and randomness of the residuals. Hourly spatially aggregated water use in Cincinnati, Ohio, during the month of October, 2008 is modeled as an example. The model explains approximately 50 of the variance of this series, divided as trend (8.28), seasonality (11.51), and autocorrelation (29.94). The methodology will be applied in a future study of a large data set of individual service connection hourly demand series, spatially aggregated under different schemes.

Original languageEnglish (US)
Title of host publicationProceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009
Subtitle of host publicationGreat Rivers
Pages734-748
Number of pages15
DOIs
StatePublished - 2009
Externally publishedYes
EventWorld Environmental and Water Resources Congress 2009: Great Rivers - Kansas City, MO, United States
Duration: May 17 2009May 21 2009

Publication series

NameProceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers
Volume342

Other

OtherWorld Environmental and Water Resources Congress 2009: Great Rivers
Country/TerritoryUnited States
CityKansas City, MO
Period5/17/095/21/09

ASJC Scopus subject areas

  • Environmental Science(all)

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