Full TGIF Record # 234141
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Web URL(s):http://onlinelibrary.wiley.com/doi/10.1111/j.1752-1688.1989.tb05670.x/pdf
    Last checked: 12/11/2013
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Publication Type:
Author(s):Dziegielewski, Ben; Boland, John J.
Author Affiliation:Dziegielewski: Assistant Professor, Department of Geography, Southern Illinois University, Carbondale, Illinois; Boland: Professor, Department of Geography and Environmental Engineering, The Johns Hopkins University, Baltimore, Maryland
Title:Forecasting urban water use: The IWR-MAIN model
Source:Water Resources Bulletin. Vol. 25, No. 1, February 1989, p. 101-109.
# of Pages:9
Publishing Information:Minneapolis, Minnesota: American Water Resources Association
Related Web URL:http://onlinelibrary.wiley.com/doi/10.1111/j.1752-1688.1989.tb05670.x/abstract
    Last checked: 12/11/2013
    Notes: Abstract only
Keywords:TIC Keywords: Evaluative methods; Models; Urban habitat; Water requirements; Water use
Abstract/Contents:"In the current forecasting practice, future water requirements of a growing urban area are often represented as the product of the number of people to be served by the water system and an assumed quantity of gross per capita water use. This paper describes a forecasting approach that differs from the per capita method in two important aspects. First, it disaggregates urban water use into a large number of categories, each consisting of a relatively homogeneous group of water users. Second, it links water use in each category to factors that determine both the need for water as well as the intensity of water use. This approach is incorporated into a computerized forecasting system referred to as IWR-MAIN. The advantages of the IWR-MAIN model over the traditional per capita method are illustrated in a case study of Anaheim, California."
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Dziegielewski, B., and J. J. Boland. 1989. Forecasting urban water use: The IWR-MAIN model. Water Resour. Bull. 25(1):p. 101-109.
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DOI: 10.1111/j.1752-1688.1989.tb05670.x
Web URL(s):
    Last checked: 12/11/2013
    Requires: PDF Reader
    Access conditions: Item is within a limited-access website
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MSU catalog number: b2206946~S1a
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