Iolanda Ialongo (FMI) Hakkarainen , J. Jalkanen , J.-P., Johansson, L., Tamminen , J. (FMI)

Application of OMI tropospheric NO2 for air quality monitoring in Northern Europe: shipping and land-based case studies

Iolanda Ialongo (FMI)Hakkarainen, J. Jalkanen, J.-P., Johansson, L., Tamminen, J. (FMI) Boersma, F. (KNMI)Krotkov, N. (NASA)

Motivation

• Use of satellite data for air quality at high latitude is poorer than at lower latitudes

• Interest in evaluating OMI applicability in critical situations (i.e. low solar angle, no illumination, signal close to the detection limit)

• New emission regulation upcoming for shipping in Baltic Sea• ESA IAP-FS SAMBA: SAtellite Monitoring of ship emissions in the

Baltic seA

OMI STM – De Bilt, 11-13 March 2014

Data• OMI tropospheric NO2 SP V2• OMI data selected according to the wind direction and speed.

Wind data from ECMWF reanalysis averaged below 950 hPa.• STEAM ship emissions derived from AIS data

Time range: Summer 2005-2011Region: LAT 50-70°N LON 1-34°E (Northern Europe)OMI rows: 6:24


Metodology: NO2 sources in Finland from OMI

Shipping lane

The main cities are marked by their initial

Some information can be lost removing the background

Red pixels indicate NO2 levels higher than the local background.

3. Subtracting the local background from the NO2 values, further enhances the NO2 signal.

2. Considering only weak wind conditions, helps in detecting the NO2 sources

1. High resolution NO2 maps can be derived using multiple pixels averaging techniques.

OMI tropospheric NO2: time series

All winds(continuous lines)

Weak winds(dashed lines)


Helsinki


The effect of different wind directions in the city of Helsinki

Calculation of life time and emission parameter

Helsinki

Life time: τ = (3.0 ± 0.5) hEmission (burden parameter): E = (1.0 ± 0.1) 10^28 molec

Fitting linear density asin Beirle et al. (2011)


The effect of different wind directions in central Baltic Sea

all winds weak winds westerlies

High NO2 signal along East-West direction


OMI NO2 tropospheric column

STEAM NOx emission OMI NO2 NOx emission

Jul-Aug averages within the black boxes

Both OMI NO2 and STEAM emissions show a decrease in 2009 (economical recession)

Comparison with ship emission data over Baltic Sea


Emission hotspots: case-studies


Gulf of Finland: OMI NO2

Gulf of Finland: OMI NO2 + STEAM NOx emissions

Detection of emission hotspot in Northern Europe

Pori port and city center



Pori port and city centerOverlap with STEAM ship emissions



Iron mines in Murmansk area



Iron mines in Kostomuksha



Kemi-Tornio area


Conclusions• OMI tropospheric NO2 shows sensitivity to small emission

sources at high latitudes• Time series of OMI data and ship emissions from STEAM model

are in good agreement• OMI data are able to reproduce the variability of the economy

activity in terms of reduced ship traffic in the Baltic Sea area• Future applications includes the comparison with land-based

emission dataset



Thank you

Reference

Ialongo, I., Hakkarainen, J., Hyttinen, N., Jalkanen, J.-P., Johansson, L., Boersma, F., Krotkov, N., and Tamminen, J.: Characterization of OMI tropospheric NO2 over the Baltic Sea region, Atmos. Chem. Phys. Discuss., 14, 2021-2042, doi:10.5194/acpd-14-2021-2014, 2014.

Website

https://dl.dropboxusercontent.com/u/108873735/site/no2_web.html

Extra slides



Comparison with EMEP emission in Finland

maps


EMEP emission by sector

TOTAL



pixel-by-pixel comparison



timeseries



timeseries

G_roadrail A_PublicPower B_IndustrialComb


Other google maps data

Large point source (EMEP)


Other google earth data

Mines

MINING ATLAS

http://www.mining-atlas.com/operation/Kostomuksha_Iron_Ore_-_Magnetite_Mine.php

Iolanda Ialongo (FMI) Hakkarainen , J. Jalkanen , J.-P., Johansson, L., Tamminen , J. (FMI)

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Transcript of Iolanda Ialongo (FMI) Hakkarainen , J. Jalkanen , J.-P., Johansson, L., Tamminen , J. (FMI)