On the use of Satellite Remote Sensing and GIS to detect NO2 in the Troposphere: An analysis of spatio-temporal patterns and trends in NO2 air pollution over Denmark using data from the OMI instrument aboard the NASA AURA satellite.

Søren Zebitz Nielsen

On the use of Satellite Remote Sensing and GIS to detect NO2 in the Troposphere: An analysis of spatio-temporal patterns and trends in NO2 air pollution over Denmark using data from the OMI instrument aboard the NASA AURA satellite.

Bidragets oversatte titel: Om brugen af satellit data og GIS til måling af NO2 i troposfæren;: En analyse af spatio-temporale mønstre og trends i data for graden af luftforurening med NO2 over Danmark målt af OMI instrumentet om bord på NASAs AURA satellit.

Søren Zebitz Nielsen

Geovidenskab og Naturforvaltning

Abstract

Specialet omhandler spatio-temporale mønstre og trends i luftforurening med NO2 over Danmark set fra satellit. Det benyttede data produkt er OMNO2e, genereret på baggrund af måledata fra OMI instrumentet på NASAs AURA satellit. Disse data relateres til in situ data, målt i det danske luftkvalitetsmålenetværk på fire landlige stationer samt i fire større byer, for at undersøge korrelationer mellem disse to datasæt. Variationer mellem ugedage og weekender samt over året findes i begge datasæt, der viser sig at være signifikant korelleret, dog med en lav korrelationskoefficient. Analyser af distributionen af NO2 i forskellige vindretninger viser, at forureningen fra større danske kilder kan detekteres i alle vindretninger, og at der ved sydlig vind er stor transport af luftforurening fra Europa. Eksempler på at luftmasser med højt NO2 indhold kan følges er vist for to episoder med høje NO2 koncentrationer over Danmark. Trends analyseres også, og der findes nedadgående trends for flere europæiske byer, men ingen signifikante trends for danske områder. Distributionen af NO2 fra satellit data sammenlignes også med emissionsopgørelser for at evaluere disse.

Bidragets oversatte titel	Om brugen af satellit data og GIS til måling af NO2 i troposfæren;: En analyse af spatio-temporale mønstre og trends i data for graden af luftforurening med NO2 over Danmark målt af OMI instrumentet om bord på NASAs AURA satellit.
Originalsprog	Engelsk
Publikationsdato	13 jul. 2012
Antal sider	175
Status	Udgivet - 13 jul. 2012

Emneord

Det Natur- og Biovidenskabelige Fakultet
Luftforurening
Nitrogendioxid
Satellitmålinger
GIS (Geografisk Informations System

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Citationsformater

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title = "On the use of Satellite Remote Sensing and GIS to detect NO2 in the Troposphere: An analysis of spatio-temporal patterns and trends in NO2 air pollution over Denmark using data from the OMI instrument aboard the NASA AURA satellite. ",

abstract = "This thesis studies the spatio-temporal patterns and trends in NO2 air pollution over Denmark using the satellite remote sensing product OMNO2e retrieved from the OMI instrument on the NASA AURA satellite.These data are related to in situ measurements of NO2 made at four rural and four urban stations in the Danish Air Quality Measurement network to find correlation between the two datasets. Clear weekly and annual cycles are found in both datasets and they are shown to be significantly correlated, though with a lowcorrelation coefficient. Analyses of the patterns in different wind directions are conducted, and it is shown that plumes from major Danish source areas can be detected in all wind directions, and that pollution transported from Europe is seen when the wind has a southern component. Examples of day to day tracking of transport of NO2 are also given to explain two pollution episodes measured in Denmark. Trends in the data are assessed and declining trends are seen over several European cities, whereas no significant trends are found in the Danish area. The mean distribution of NO2 from the satellite data is also used to evaluate the NOx emission inventory. ",

keywords = "Faculty of Science, GIS (Geographic Information System), Air Pollution, Remote Sensing, Nitrogen Dioxide, Luftforurening, Nitrogendioxid, Satellitm{\aa}linger, GIS (Geografisk Informations System",

author = "Nielsen, {S{\o}ren Zebitz}",

year = "2012",

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day = "13",

language = "English",

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T1 - On the use of Satellite Remote Sensing and GIS to detect NO2 in the Troposphere

T2 - An analysis of spatio-temporal patterns and trends in NO2 air pollution over Denmark using data from the OMI instrument aboard the NASA AURA satellite.

AU - Nielsen, Søren Zebitz

PY - 2012/7/13

Y1 - 2012/7/13

N2 - This thesis studies the spatio-temporal patterns and trends in NO2 air pollution over Denmark using the satellite remote sensing product OMNO2e retrieved from the OMI instrument on the NASA AURA satellite.These data are related to in situ measurements of NO2 made at four rural and four urban stations in the Danish Air Quality Measurement network to find correlation between the two datasets. Clear weekly and annual cycles are found in both datasets and they are shown to be significantly correlated, though with a lowcorrelation coefficient. Analyses of the patterns in different wind directions are conducted, and it is shown that plumes from major Danish source areas can be detected in all wind directions, and that pollution transported from Europe is seen when the wind has a southern component. Examples of day to day tracking of transport of NO2 are also given to explain two pollution episodes measured in Denmark. Trends in the data are assessed and declining trends are seen over several European cities, whereas no significant trends are found in the Danish area. The mean distribution of NO2 from the satellite data is also used to evaluate the NOx emission inventory.

AB - This thesis studies the spatio-temporal patterns and trends in NO2 air pollution over Denmark using the satellite remote sensing product OMNO2e retrieved from the OMI instrument on the NASA AURA satellite.These data are related to in situ measurements of NO2 made at four rural and four urban stations in the Danish Air Quality Measurement network to find correlation between the two datasets. Clear weekly and annual cycles are found in both datasets and they are shown to be significantly correlated, though with a lowcorrelation coefficient. Analyses of the patterns in different wind directions are conducted, and it is shown that plumes from major Danish source areas can be detected in all wind directions, and that pollution transported from Europe is seen when the wind has a southern component. Examples of day to day tracking of transport of NO2 are also given to explain two pollution episodes measured in Denmark. Trends in the data are assessed and declining trends are seen over several European cities, whereas no significant trends are found in the Danish area. The mean distribution of NO2 from the satellite data is also used to evaluate the NOx emission inventory.

KW - Faculty of Science

KW - GIS (Geographic Information System)

KW - Air Pollution

KW - Remote Sensing

KW - Nitrogen Dioxide

KW - Luftforurening

KW - Nitrogendioxid

KW - Satellitmålinger

KW - GIS (Geografisk Informations System

M3 - Other contribution

ER -