Methodology for Spatial Scaling of GHG activity data * lmproving resolution of a spatial air pollution inventory with a statistical inference approach

Horabik-Pyzel, Joanna; Nahorski, Zbigniew (1945– )

Methodology for Spatial Scaling of GHG activity data * lmproving resolution of a spatial air pollution inventory with a statistical inference approach

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Title: Methodology for Spatial Scaling of GHG activity data * lmproving resolution of a spatial air pollution inventory with a statistical inference approach

Abstract:

This paper presents a novel appmach to allocation of spatially correlated data, such as emission inventories, to finer spatial scales, conditional on covariate information observable in a fine grid. Spatial dependence is modelled with the conditional autoregressive structure int:roduced into a linear model as a random effect The maximum likelihood appmach to inference is employed, and the optimal predictors are developed to as.c;ess missing values in a fine grid. An example of ammonia emission inventory is used to illustrate the potential usefulness of the pmposed technique. The results indicate that incllL'iion of a spatial dependence structure can compensate for less adequate covariate infonnation. For the considered ammonia inventory, the fourfold allocation benefited greatly from incorporation of the spatial component, while for the ninefold allocation this advantage was limited, but stili evident Jn addition, the proposed method allows correction of the prediction bias encountered for the upper range emissions in the linear regression models.

Relation:

Raport Badawczy = Research Report

Detailed Resource Type:

Raport

Resource Identifier:

oai:rcin.org.pl:208704

Source:

RB-2014-08-02

Language:

eng

Language of abstract:

eng

Rights:

Licencja Creative Commons Uznanie autorstwa 4.0

Terms of use:

Zasób chroniony prawem autorskim. [CC BY 4.0 Międzynarodowe] Korzystanie dozwolone zgodnie z licencją Creative Commons Uznanie autorstwa 4.0, której pełne postanowienia dostępne są pod adresem: ; -

Digitizing institution:

Instytut Badań Systemowych Polskiej Akademii Nauk

Original in:

Biblioteka Instytutu Badań Systemowych PAN

Projects co-financed by:

Program Operacyjny Polska Cyfrowa, lata 2014-2020, Działanie 2.3 : Cyfrowa dostępność i użyteczność sektora publicznego; środki z Europejskiego Funduszu Rozwoju Regionalnego oraz współfinansowania krajowego z budżetu państwa

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Last modified:

Oct 19, 2021

In our library since:

Sep 8, 2021

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All available object's versions:

https://rcin.org.pl./publication/245647

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Raporty Badawcze

Edition name	Date
RB-2014-08-02 : Horabik-Pyzel Joanna Stanisława, Nahorski Zbigniew Tadeusz : Methodology for Spatial Scaling of GHG activity data * lmproving resolution of a spatial air pollution inventory with a statistical inference approach	Oct 19, 2021