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

Nguyen, B. ORCID: https://orcid.org/0000-0002-2260-8186, Wagner, F. ORCID: https://orcid.org/0000-0003-3429-2374, & Schoepp, W. ORCID: https://orcid.org/0000-0001-5990-423X (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. 10.1007/978-3-642-20039-7_16.

Full text not available from this repository.

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: Air Quality & Greenhouse Gases (AIR)
Mitigation of Air Pollution (MAG)
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: 27 Aug 2021 17:21
URI: https://pure.iiasa.ac.at/9668

Actions (login required)

View Item View Item