GESAPU
"Geoinformation technologies, spatio-temporal approaches, and full carbon account for improving accuracy of GHG inventories"
| Coordinatore | SYSTEMS RESEARCH INSTITUTE OF THE POLISH ACADEMY OF SCIENCES IBS PAN
Organization address
address: Newelska 6 contact info |
| Nazionalità Coordinatore | Poland [PL] |
| Totale costo | 192˙600 € |
| EC contributo | 192˙600 € |
| Programma | FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
| Code Call | FP7-PEOPLE-2009-IRSES |
| Funding Scheme | MC-IRSES |
| Anno di inizio | 2010 |
| Periodo (anno-mese-giorno) | 2010-06-24 - 2014-06-23 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
SYSTEMS RESEARCH INSTITUTE OF THE POLISH ACADEMY OF SCIENCES IBS PAN
Organization address
address: Newelska 6 contact info |
PL (Warszawa) | coordinator | 84˙600.00 |
| 2 |
INTERNATIONALES INSTITUT FUER ANGEWANDTE SYSTEMANALYSE
Organization address
address: Schlossplatz 1 contact info |
AT (LAXENBURG) | participant | 108˙000.00 |
Mappa
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Obiettivo del progetto (Objective)
'Greenhouse gases (GHG) inventories contain ineluctable uncertainties, which cause serious difficulties: (1) The compliance with commitments to reduce GHG emissions is not solved, although for most countries the emission changes agreed on under the Kyoto Protocol are often smaller than the uncertainty in their estimated emissions. (2) Neither of the emission trading systems deals with the uncertainty of emissions estimates. Thus, decreasing inventory uncertainty is of paramount importance to its credibility, quality of compliance, and proper functioning of trading systems. The project aims in improving accuracy of the inventories in countries with differentiated regions and/or high coverage by forests, where the standard inventory procedures fail in producing high accuracy inventories. The proposed solution is to use spatially distributed inventories and more detailed forest modeling. This kind of inventory has been already compiled in Lviv Polytechnic for West Ukraine. It uses multilevel mathematical models, digital maps, georeferenced databases, and appropriate software. The objective is to develop similar spatial inventory of GHG emissions for Poland. To achieve the required spatial resolution, our method relies on statistical scaling models. Systems Research Institute contributes here with the expertise in statistical modelling. These methodologies will be novel in preparing GHG inventories. Further reduction of uncertainty is expected by modification and adaptation of the methodology for Ukrainian conditions, accounting schemes and models of verified full carbon account of forest ecosystems (FCA) developed by IIASA. Information background will be represented by a hybrid land cover as system integration of all available sources of information in GIS environment; with spatial resolution 1 km. Uncertainties of the FCA are considered in details. This methodology is expected to be applied in Poland as a next step of cooperation.'
Introduzione (Teaser)
Greenhouse gas (GHG) inventories involve uncertainties because some data are unavailable, imprecise or incomplete and because of limited knowledge of some processes. Reducing this uncertainty is vital for maintaining the credibility, quality of compliance and proper functioning of carbon trading systems.