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International Journal of Environment Science and Technology
Center for Environment and Energy Research and Studies (CEERS)
ISSN: 1735-1472
EISSN: 1735-2630
Vol. 7, No. 3, 2010, pp. 411-426
Bioline Code: st10041
Full paper language: English
Document type: Research Article
Document available free of charge

International Journal of Environment Science and Technology, Vol. 7, No. 3, 2010, pp. 411-426

 en Development of the systematic object event data model for integrated point source pollution management
Huang, W.C.; Liaw, S.L.; Chang, S.Y.; Liu, W.L. & Chen, C.H.

Abstract

Previous works on database integration focused mainly on the creation of transformation interfaces between incompatible databases built up by different departments of the Taiwan Environmental Protection Administration, ignoring the demands of systematically and flexibly integrated information for advanced pollution control of point sources. To provide a systematic framework for flexible integration of distributed data, this paper presents a general model as the systematic object event data model based on systems thinking, to improve the integration capability of databases. The conceptual database framework for integrated pollution control was proposed as a result of the application of the systematic object event data model. The fundamental part of the systematic object event data model, creation of the object registry database, was put into practice from the year 2008. The object database of pollution source is available to factories in 2009, which helps factories to create and Taiwan environmental protection administration to maintain the consistent object data through the electronic application processes of permits. To construct various event databases that systematically connect to object database that systematically connect to object database would be the following step to more efficiently provide systematic information from systematic data integration.

Keywords
Data model; Systematic data integration; Systematic object event approach; Systems thinking

 
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