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1.
International Journal of Environmental Science and Technology. 2010; 7 (3): 411-426
in English | IMEMR | ID: emr-98015

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 would be the following step to more efficiently provide systematic information from systematic data integration


Subject(s)
Decision Support Techniques , Data Interpretation, Statistical , Thinking , Environmental Pollution
2.
International Journal of Environmental Science and Technology. 2010; 7 (2): 313-326
in English | IMEMR | ID: emr-99055

ABSTRACT

Rapid development of information technology has changed people's attitudes towards information usage. To tender to the public's expectation, information system must feature facilities to increase the efficiency of information usage using modern information technology. Facing this challenge, it is necessary to establish a sustainable information environment, including information policy, data quality regulations and information management framework to deal with the rapidly increasing environmental data and changing behavior related to data/information usage except upgrading the hardware and software devices. Taking the uniqueness and complexity of environmental data into account, this study proposes a systematic framework based on the principle of life cycle assessment to outline the elements and its associated guidance required for a sustainable information environment. Simultaneously, the concept of information ecology is also embedded into such a planning for the purpose of establishing a self-evolutional information environment. Finally, the environmental protection administration of Taiwan is used as a case study to explain the practice of proposed framework


Subject(s)
Research Design , Life Cycle Stages , Environment
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