8th annual CMAS conference, Chapel Hill, October 19-21, 2009 Eurasia Institute of Earth Sciences / ITU IMPACTS OF ISTANBUL EMISSIONS ON REGIONAL AIR QUALITY: QUANTIFICATION USING MODELS-3 FRAMEWORK AND TRAJECTORY ANALYSIS Huseyin Ozdemir a, Ulas Im b, Markakis Kostandinos c, Tugba Agacayak d, Alper Unal d, Tayfun Kindap d, Maudood Khan e a Bahcesehir University, Environmental Engineering Department, Istanbul, TURKEY b Bogazici University, Institute of Environmental Sciences, Istanbul, TURKEY c Aristotle University of Thessaloniki, Department of Physics, Thessaloniki, GREECE d Istanbul Technical University, Eurasia Institute of Earth Sciences, Istanbul, TURKEY e Universities Space Research Association NASA Marshall Square Flight Center, Huntsville AL., USA
8th annual CMAS conference, Chapel Hill, October 19-21, 2009 Eurasia Institute of Earth Sciences / ITU Outline Introduction Episode selection Trajectory analysis Emissions modeling Air quality modeling results Discussions and conclusions
8th annual CMAS conference, Chapel Hill, October 19-21, 2009 Eurasia Institute of Earth Sciences / ITU Istanbul
8th annual CMAS conference, Chapel Hill, October 19-21, 2009 Eurasia Institute of Earth Sciences / ITU Research Objectives Identify the reasons for high PM levels in Istanbul Quantify effect of Istanbul emissions on regional air quality Method: Comprehensive high resolution anthropogenic emission inventory Models-3 modeling framework
8th annual CMAS conference, Chapel Hill, October 19-21, 2009 Eurasia Institute of Earth Sciences / ITU Observations
8th annual CMAS conference, Chapel Hill, October 19-21, 2009 Eurasia Institute of Earth Sciences / ITU Episode January 13-17, 2008
8th annual CMAS conference, Chapel Hill, October 19-21, 2009 Eurasia Institute of Earth Sciences / ITU Trajectory Analysis Autumn Spring SummerWinter Forward trajectory method by Pettersen (1956)
8th annual CMAS conference, Chapel Hill, October 19-21, 2009 Eurasia Institute of Earth Sciences / ITU Modeling Domain
8th annual CMAS conference, Chapel Hill, October 19-21, 2009 Eurasia Institute of Earth Sciences / ITU Emission Inventory 92 x 57 km area with 2 km grid spacing Temporal resolution on monthly, weekly and diurnal processing Compiling the emission inventory (bottom-up methodology) -Residential and industrial combustion -Energy sector -Maritime sector -Solvents use and coal extraction emissions
8th annual CMAS conference, Chapel Hill, October 19-21, 2009 Eurasia Institute of Earth Sciences / ITU Emission Inventory High quality geographical information (GIS) Mapbasic 9.0 programming language Mapinfo 9.0 GIS software 39 chemical species
8th annual CMAS conference, Chapel Hill, October 19-21, 2009 Eurasia Institute of Earth Sciences / ITU Schematic diagram of the emission processor (Kostandinos et al., 2009, submitted)
8th annual CMAS conference, Chapel Hill, October 19-21, 2009 Eurasia Institute of Earth Sciences / ITU Chemistry and Transport Modeling The US EPA Community Multiscale Air Quality (CMAQ) model, version 4.6 Three domains (on lambert conformal projection) -Europe in a 163×150 grid system of 30 km res. -Balkan region in a 140×155 grids domain of 10 km res. - Istanbul in a 92×57 grids domain of 2 km res vertical layers The first three days - spin-up period
8th annual CMAS conference, Chapel Hill, October 19-21, 2009 Eurasia Institute of Earth Sciences / ITU MODELING RESULTS
8th annual CMAS conference, Chapel Hill, October 19-21, 2009 Eurasia Institute of Earth Sciences / ITU MODELING RESULTS MeasuresPM 10 Correlation0.62 Observed Mean (µg/m 3 )81.74 Model Mean / Obs. Mean0.55 Observed STDDEV (µg/m 3 )15.14 Model STDEV / Obs. STDEV1.25 BIAS (µg/m 3 ) ABSE (µg/m 3 )47.73 RMSE (µg/m 3 )49.77 IOA0.38
8th annual CMAS conference, Chapel Hill, October 19-21, 2009 Eurasia Institute of Earth Sciences / ITU Obs. Mean (µg/m 3 ) Model Mean/Obs Mean BIAS (µg/m 3 ) ABSE (µg/m 3 ) RMSE (µg/m 3 ) Alibeyköy Beşiktaş Saraçhane Sarıyer Yenibosna Esenler Kartal Ümraniye Üsküdar MODELING RESULTS
8th annual CMAS conference, Chapel Hill, October 19-21, 2009 Eurasia Institute of Earth Sciences / ITU Summary The PM 10 levels calculated by the model underestimated the observations with an average of 30%. Uncertainties between model results and observations Lacking of temporal profiles Meteorology may introduce large uncertainties Static boundary conditions may introduce high uncertainties Performance evaluation for meteorology model results are underway For future work we are planning to improve emissions data
8th annual CMAS conference, Chapel Hill, October 19-21, 2009 Eurasia Institute of Earth Sciences / ITU Thank you.