Dynamic modeling of Tampa Bay urban development using parallel computing

Urban land use and land cover has changed significantly in the environs of Tampa Bay, Florida, over the past 50 years. Extensive urbanization has created substantial change to the region's landscape and ecosystems. This paper uses a dynamic urban-growth model, SLEUTH, which applies six geospati...

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Bibliographic Details
Published in:Computers & geosciences 2005-08, Vol.31 (7), p.920-928
Main Authors: Xian, George, Crane, Mike, Steinwand, Dan
Format: Article
Language:English
Subjects:
Areal geology. Maps
Earth sciences
Earth, ocean, space
Exact sciences and technology
Geologic maps, cartography
Land cover
Landuse
Monte Carlo
Parallel processing
Urban growth
Urban model
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Summary:Urban land use and land cover has changed significantly in the environs of Tampa Bay, Florida, over the past 50 years. Extensive urbanization has created substantial change to the region's landscape and ecosystems. This paper uses a dynamic urban-growth model, SLEUTH, which applies six geospatial data themes (slope, land use, exclusion, urban extent, transportation, hillside), to study the process of urbanization and associated land use and land cover change in the Tampa Bay area. To reduce processing time and complete the modeling process within an acceptable period, the model is recoded and ported to a Beowulf cluster. The parallel-processing computer system accomplishes the massive amount of computation the modeling simulation requires. SLEUTH calibration process for the Tampa Bay urban growth simulation spends only 10 h CPU time. The model predicts future land use/cover change trends for Tampa Bay from 1992 to 2025. Urban extent is predicted to double in the Tampa Bay watershed between 1992 and 2025. Results show an upward trend of urbanization at the expense of a decline of 58% and 80% in agriculture and forested lands, respectively.
ISSN:0098-3004
1873-7803
DOI:10.1016/j.cageo.2005.03.006