Compilation of a GIS based high spatially and temporally resolved emission inventory for the greater Istanbul area

Konstantinos Markakis*, Ulas Im, Alper Unal, Dimitrios Melas, Orhan Yenigun, Selahattin Incecik

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

37 Citations (Scopus)


Emission inventories are a fundamental input to atmospheric chemical transport models (CTMs). As the latter become increasingly demanding, modern inventories began to provide much more information (high spatial and temporal disaggregation, more chemical compounds etc). In this study we present a computational approach, an emission processing kernel that is used to compile a high spatially and temporally resolved emission inventory for the anthropogenic sources covering the Greater Istanbul Area (GIA) for the reference year 2007. The emission processor is used to produce emissions for a 92 x 57 km area covering the GIA with 2 km grid resolution. The emission inventory has high temporal resolution, covering monthly, weekly and diurnal processing and includes CO, NOx, SOx, NH3, and chemically speciated PM10, PM2.5 and NMVOCs emissions. PM10 and PM2.5 are chemically split into organic carbon, elemental carbon, sulfates, nitrates, ammonium and other particles while NMVOCs are chemically speciated into 23 chemical compounds. The compilation process includes the use of various activity information and statistical data that were gathered from local official authorities and experts, measurements, published studies for the region or extracted from pre-existing databases. The results indicate that the road transport sector is the main contributor to the emissions in the area, whereas residential combustion (for SOx) and solvent use (for NMVOCs) are also important source categories. Industrial combustion is found out to be the main SOx emitter. The temporal calculations show that monthly distributions follow the seasonal variation for most of the pollutants with higher emissions in winter time. Diurnal calculations show that the profile fits with the rush hours due to the highest contribution of traffic emissions.

Original languageEnglish
Pages (from-to)112-125
Number of pages14
JournalAtmospheric Pollution Research
Issue number1
Publication statusPublished - Jan 2012


The results presented have been obtained in the FP7 GMES project PASODOBLE (Promote Air Quality Services integrating Observations – Development Of Basic Localised Information for Europe) funded by the European Commission ( FP7–SPACE–2009–1, No. 241557 ) and supported by a COST 728 Action project funded by the Scientific and Technological Research Council of Turkey (TUBITAK, project no: 105Y005) and National Geodesy and Geophysics Union of Turkey (TUJJB, project no: TUJJB–TUMEHAP– 03–06). The authors would also acknowledge the EU–funded CityZEN project for supporting the development of this inventory.

FundersFunder number
National Geodesy and Geophysics Union of TurkeyTUJJB–TUMEHAP– 03–06
Seventh Framework Programme241557
European CommissionFP7–SPACE–2009–1
European Cooperation in Science and Technology
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu


    • Emission inventory
    • Istanbul
    • Particulate matter
    • Spatial disaggregation
    • Temporal disaggregation


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