Cloud intelligent services for calculating emissions and costs of air pollutants and greenhouse gases

Nguyen B, Wagner F, & Schoepp W (2011). Cloud intelligent services for calculating emissions and costs of air pollutants and greenhouse gases. In: Intelligent Information and Database Systems (ACIIDS2011). Eds. Nguyen, NT, Kim, CG & Janiak, A, Heidelberg: Springer. DOI:10.1007/978-3-642-20039-7_16.

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Abstract

The GAINS (Greenhouse gas - Air pollution Interactions and Synergies) model quantifies the full DPSIR (demand-pressure-state-impact-response) chain for the emissions of air pollutants and greenhouse gases. To fulfill regional specific requirements of the GAINS model, we have studied and developed a cloud intelligent service system for calculating emissions and costs for reducing emissions at regional as well as global levels. In this paper, first we present a cloud intelligent conceptual model that is used to specify an application framework, namely GAINS cloud intelligent application framework. Using this application framework, first we build a global data warehouse called GAINS DWH World, then a class of regional data warehouses, e.g. GAINS DWH Europe, GAINS DWH Asia, etc., are specified and used for regional data analysis and cost optimization.

Item Type: Book Section
Uncontrolled Keywords: GAINS; Cloud intelligence; Data Warehouse
Research Programs: Mitigation of Air Pollution (MAG)
Air Quality & Greenhouse Gases (AIR)
Bibliographic Reference: In: NT Nguyen, CG Kim, A Janiak (eds); Intelligent Information and Database Systems (ACIIDS2011); Springer, Heidelberg, Germany pp.159-168
Related URLs:
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 08:45
Last Modified: 04 Apr 2016 10:18
URI: http://pure.iiasa.ac.at/9668

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