On the Temporal Variability of Air Pollutants’ Emissions – Case Study of Residential PM10 Emission in Silesian Metropolis

Author:

Zasina Damian1,Zawadzki Jarosław1

Affiliation:

1. Warsaw University of Technology , Poland

Abstract

Abstract The paper summarizes previous studies associated with carrying out of the air pollutant emission inventories. There are presented three approaches for obtaining monthly distribution of PM10 air emission: using expert’s judgement, modelling of the heating demand, and temporal disaggregation using the heating degree days (HDD). However some differences due to not considering hot water demand, it can be effectively used for obtaining temporal, and spatiotemporal distributions of air pollutants’ air emissions necessary for air quality modelling.

Publisher

Walter de Gruyter GmbH

Reference38 articles.

1. Bieser, J., Aulinger, A., Matthias, V., Quante, M. and Builtjes, P. (2011), ‘SMOKE for Europe – adaptation, modification and evaluation of a comprehensive emission model for Europe’, Geoscientific Model Development 4, 47-68.

2. Brizio, E., Genon, G. and Caon, S. (2007), Emission inventory for an urban area: construction and use, in C.A. Brebbia, ed., ‘Air Pollution XV, WIT Transactions on Ecology and the Environment, vol. 101’, WIT Press, pp. 233-242.

3. Crippa, M., Solazzo, E., Huang, G., Guizzardi, D., Kof, E., Muntean, M., Schieberle, C., Friedrich, R. and Janssens-Maenhout, G. (2019), ‘High resolution temporal profiles in the Emissions Database for Global Atmospheric Research (EDGAR)’. Nature Scientific Data, manuscript submitted.

4. Degórska, A., Ilyin, I., Travnikov, O. and Rozovskaya, O. (2017), ‘Country-specific study of cadmium pollution in Poland: data collection, pilot results and future work’. 18th TFMM, Prague, May 2017. Available at: https://projects.nilu.no/ccc/tfmm/prague_2017/index.html.

5. Denier van der Gon, H., Hendriks, C., Kuenen, J., Segers, A. and Visschedijk, A. (2011), ‘Description of current temporal emission patterns and sensitivity of predicted AQ for temporal emission patterns’. Grant agreement no.: 218793; coordinator dr. Adrian Simmons, ECMWF, UK. Available at: https://atmosphere.copernicus.eu/sites/default/fles/2019-07/MACC_TNO_del_1_3_v2.pdf.

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