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The Potential Utility of Physically Based Hydrologic Modeling in Ungauged Urban Streams

Bibliographic Data

ID8377233
AuthorsC Tague (0000-0003-1463-308X, University of California, Santa Barbara), Molly Pohl-Costello (San Diego State University)
Year2008
Volume98
Issue4
Pages818-833
Publication date2008-09-25
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAnnals of the Association of American Geographers (JOURNAL)
Journal identifiersISSN: 0004-5608 • E-ISSN: 1467-8306
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00045600802099055
OpenAlexW1970357152
LanguageEN
Citations received1
References cited35

A wide range of hydrologic modeling tools based on geographic information systems are available to aid urban planning, design, and environmental assessment by providing an understanding of how urban development impacts water quality and water quantity. These tools range from complex, data-intensive, process-based simulation models to simpler, empirical, coefficient-based approaches. We use a case study watershed in San Diego, California, to illustrate the potential contribution of physically based models as a means to evolve conceptual understanding of geographic pattern and process, rather than the prediction of aggregate watershed behavior. We use the Regional Hydro-Ecologic Simulation System to examine interactions between internal watershed processes that lead to runoff production. Through this case study, we address the issue of limited streamflow data for model calibration, a requirement that is often difficult to meet in smaller, ungauged watersheds. We illustrate how flow data from a similar watershed, combined with sensitivity analysis, can serve to compensate for this data limitation in the context of understanding urban impacts on hydrologic behavior. We then use this modeling approach to demonstrate that the conclusions made about the effects of urbanization on streamflow are a complex function of interactions between the watershed drainage network configuration and antecedent soil moisture conditions. Further we show that these qualitative, but potentially useful conclusions do not depend on precise knowledge of uncertain parameters such as soil hydraulic conductivity. We discuss the overall “ease of use” of our modeling approach and the implications for environmental assessment and design

Conceptual model · Context (archaeology) · Drainage basin · Environmental resource management · Geography · Hydrological modelling · Hydrology (agriculture) · Streamflow · Surface runoff · Urbanization · Watershed · Computer Science · Ecology · Engineering · Environmental Science · Flood Risk Assessment and Management · Hydrology and Watershed Management Studies · Urban Stormwater Management Solutions

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  • Need for improved methodologies and measurements for sustainable management of urban water systems

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Unique citing works1
Citations per year0,06
Citation span2010 - 2010 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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