Emission Processor for Air Quality Models Utilizing Newly Available Data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F16%3A00482950" target="_blank" >RIV/67985807:_____/16:00482950 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21260/16:00348882

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Emission Processor for Air Quality Models Utilizing Newly Available Data

Original language description

High-quality emission data are of utmost importance for the reliable outputs of air quality models. AQ models require speciated hourly emissions, whereas emission inventories are constructed on annual basis and include only main pollutants. For the time disaggregation simple and constant monthly, daily, and hourly factors are usually used. Likewise, chemical speciations are usually based on outputs of very few and sometimes quite old reports and do not necessarily correspond to the situation in the country of interest. For the emission processing itself many scientific groups use SMOKE pre-processor, due its availability and since it is fitted for the WRF and CMAQ models. Nevertheless, its application for non-US countries can be quite complicated due to different data and metadata structure. Our project focusses on two aims: 1) The derivation of the time and speciation profiles specific for the Czech Republic. For this purpose, we analyse continuous emission measurements from the large stationary sources, temperature and behaviour dependency of the household heating emission, and the data available in the extensive Czech emission database REZZO. For the transport we managed to access data from the Electronic Control Units (ECU) of the vehicular fleet maintained by the SHERLOG company. These unique data give us information on engine state, fuel consumption, and driving styles from the real traffic flow. 2) The construction of a flexible emission processor for AQ models based on the freely available software.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10509 - Meteorology and atmospheric sciences

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

HARMO 17. Proceedings of the 17th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes

ISBN

978-963-9931-10-7

ISSN

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e-ISSN

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Number of pages

4

Pages from-to

117-120

Publisher name

Hungarian Meteorological Service

Place of publication

Budapest

Event location

Budapest

Event date

May 9, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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