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

Download

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:

Report

Resource Identifier:

oai:rcin.org.pl:208704

Source:

RB-2014-08-02

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Access:

Open

Object collections:

Last modified:

Oct 19, 2021

In our library since:

Sep 8, 2021

Number of object content downloads / hits:

All available object's versions:

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

Show description in RDF format:

RDF

Show description in RDFa format:

RDFa

Show description in OAI-PMH format:

OAI-PMH

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