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Title:
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A GEO-SPATIAL DECISION-SUPPORT SYSTEM FOR REGIONAL AIR QUALITY MANAGEMENT |
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Author(s):
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El Mohajir Mohammed , Oubenaalla Youness |
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ISBN:
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ISSN: 1646-3692 |
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Editors:
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Mohammad Essaaidi and Mohammed El Mohajir (Guest Editors) |
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Year:
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2009 |
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Edition:
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V IV, 1 |
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Keywords:
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Geo-Spatial Decision-support system, SOLAP, Regional air pollution, Numerical atmospheric
model, In-situ captor, Satellite observations. |
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Type:
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Journal Paper |
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First Page:
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64 |
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Last Page:
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74 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This paper describes the geo-spatial multidimensional database architecture we built to construct a
regional air quality decision-support system. The system retrieves data from three main categories of
system sources: a numerical atmospheric model, in-situ detectors and satellites. We worked on an
idealized case study for which we established spatial multidimensional OLAP cubes on specific
measures and dimensions. This schema aims to provide original analysis like deviations of the
concentration simulated by the atmospheric model per region, per date and per pollutant. Cartographic
representation of the results is then achieved by using the SOLAP approach. Thematic maps are
generated as a response to a particular query that the end user may submit. A range of options are offered
to explore these charts in both space and time. Cartographic contours are not based on pre-defined
images but are dynamically elaborated from the numerical coordinates stored in the spatial dimension.
Qualities of the design and implementation are finally assessed according to recognized criteria
established by the OLAP/SOLAP community as scalability, time response and data exploration
intuitiveness. |
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