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Mapping hotspots of Atmospheric Carbon Dioxide and Nitrogen Dioxide in Thailand using
SCIAMACHY
Mapping hotspots of Atmospheric Carbon Dioxide and Nitrogen Dioxide in Thailand using
SCIAMACHY
Presented by : Uday Dnyandeo Pimple RSGIS FoS
17/ 05/2010
Examination Committee: Dr. Nitin K. Tripathi, Chairman
Dr. Preeda Parkpian, Member Dr. Savitri Garivait, External Member Dr. Sheishiro Kibe, Member Dr. I.V. Murali Krishna External Member
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Background
Climate change will change our lifeon Earth and will affect all nationsall plants, all animals, all humans
all living beings on Earth.
3
Background
High Temperature
Changing Landscapes
Wildlife at Risk
Increased risk of Drought, fire & flood
Stronger Storms
Heat Related Illness and Diseases
Climate Change: Variation in global and regional climates over time
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Background
Global Warming: Increase in average temperature of Earth
Main Impact - Sea level rise- Increase in extreme weather trend
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Global Warming and Climate Change
Serious issue related to human survival Main cause = increase in greenhouse gases such as Carbon Dioxide,
Methane, Nitrogen Oxide, Chorofluro carbon and Carbon Tetrachloride and some atmospheric pollutants
Current temperature increased by 0.40C and 2.50C temperature is enough to melt the glaciers
Copenhagen United Nations climate change conference 2009
- Reduction of CO2 and impact of climate change was the main issue
Impact on Human and
Nature
Emission of GHG
Socio economic development
path
Climate Change Rise Temperature,Sea Level
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Need to monitor Greenhouse Gases (GHG)
The basic cause of rise in temperature is greenhouse gases
Need to measure the trace gases regularly
Need to understand sources and sinks of trace gases Limitations of ground stations ( Due to Spatial and temporal variability
of gases and vertical distribution)
Remote Sensing technique has capability to measure trace gases from space
Large scale or regional measurement is possible by satellite
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Objective
1) Retrieval of vertical column (VC) of atmospheric Carbon dioxide in Thailand using satellite remote sensing ( 2004-2005)
2) Retrieval vertical column densities (VCDs) of Nitrogen dioxide in Thailand using satellite remote sensing ( 2004-2009)
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Data and Software
SCIAMACHY: FSI-WFM- DOAS algorithm processed data of CO2 from 2004 to 2005
(Source: Leicester University, UK) Ground station data of CO2 from Wt. Waliguan China ( Station from NOAA)
DOAS algorithm processed data for NO2 from 2004-2009
(Source: University of Bremen, Germany) Ground station data of NO2 from 2004-2009 (Source:PCD, Thialand)
Software:
- ArcGIS 9.3 , ArcView 3.3, ENVI-IDL
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SCIAMACHY
SCIAMACHY ( SCanning Imagine Absorption spectroMeter for Atmospheric CHartographY)
Capability to determine O3, O2,O4,NO,N2O,BrO, OCIO, CO,H2O,SO2,HCHO,CO2,CH4, Cloud, Aerosol
Onboard on European environmental satellite ENVISAT Orbital height 790 km (±10km) Measure radiation between 240- 2380 nm wavelength region One pixel size is 60 x 30 Km
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Study Area -Thailand
Country : Thailand
50th largest country
Population 68 Million
Sources of GHG: Urban areas, Industries
( Automobile and food processing plants), burning of crops and rice field
Ranked 22 in world for GHG emission
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Carbon Dioxide emission and measurement in Thailand
Medium size country but responsible for GHG gas emission(Source: UNDP, 2007)
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Atmospheric Carbon Dioxide & Nitrogen Dioxide
Carbon Dioxide :
Major GHG ( more than 63% contribution in global warming) Sources : Burning of fossil fuels, deforestation are the main causes
Nitrogen Dioxide :
Reddish brown gas and irritating ordure Play an important role in atmospheric reactions NO2 and other compound very easily react with Ozone layer and causes the destruction of ozone layer Higher concentration of NO2 causes many respiratory problems Sources: Biomass burning, fuel combustion and electrical installations
- .
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Satellite Remote Sensing for measurement of CO2 and NO2 from Space
Retrieval of trace gases using remote sensing is rapidly evolving area and very helpful to understand the sources and sinks of trace gases.
The precise measurement of trace gases is possible with combination of satellite observation theory , modeling and ground observations
It is very useful to understand the dynamic behavior of the trace gases from space
Measurement principle and retrieval methods DOAS ( Differential Optical Absorption Spectroscopy) : It allows to extracting absorption of NO2 and other trace gases For measuring VCDi of gases following equation is used
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Where rs(λ)is the measured slant optical densities VCDi is the Vertical column densities VCDi
mod is used for calculating ( Molded slant optical density) cj is the polynomial coefficient I-i mod is the calculated radiance without the ith absorber I mod is the calculated radiance with all absorber (Bovensmann, 1999)
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Weighting Function Modified Differential Optical Absorption
Spectroscopy (WFM-DOAS) retrieval technique designed to retrieve the total columns of CO2, CO, CH4, H2O and N2O.
For reducing the potential sources of errors in WFM-DOAS new algorithm is developed called FSI ( Full Spectral Initiation) WFM-DOAS
To derive CO2 total column from absorption at ~ 1.56 µm
Measurement principle and retrieval methods
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METHODOLOGY
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Retrieval of VC of CO2 by IDL Programming
FSI-WFM-DOAS Product
China Region Indian Region
Joint Two Regions
Separation of Study area
Gridding of VC of CO2
Read Files Data Filtration
Plot Display Set the Colors
Gridding
Normalized SCIAMACHY CO2 Columns
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Retrieval VC of CO2 by GIS
FSI-WFM-DOASProduct
Data Extraction
Conversion to GIS format
Normalized Vertical Column of CO2
Generation of Point Data
Data Interpolation
Latitude Longitude Retrieved Error VC CO2
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Retrieval of VCDs of NO2
DOAS – Product
Data Extraction
Latitude VCD of NO2Longitude
Conversion to GIS format
VCDs of NO2
Generation of Point data
Data interpolation
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RESULTS & DISCUSSION
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Vertical Column of CO2 for part of Asia
January 2004 February 2004
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March 2004 April 2004
Vertical Column of CO2 for part of Asia
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Vertical Column of CO2 for part of Asia
May 2004 June 2004
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Vertical Column of CO2 for part of Asia
July 2004 August 2004
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Vertical Column of CO2 for part of Asia
September 2004 October 2004
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Vertical Column of CO2 for part of Asia
November 2004 December 2004
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Vertical Column of CO2 for Thailand
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Vertical Column of CO2 for Thailand
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Vertical Column of CO2 for Thailand
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Vertical Column of CO2 for Thailand
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Vertical Column of CO2 for Thailand
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Vertical Column of CO2 for Thailand
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Comparison of SCIAMACHY result with in situ observations in China
372 374 376 378 380 382 384300
350
400
450
f(x) = 5.08703586470292 x − 1542.62624196509R² = 0.437539272402824
CO2 by Ground station ( ppm)
CO
2 b
y S
CIA
MA
CH
Y (
ppm
v)
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January to April very high concentration observed over central and eastern part of Thailand which covers mostly urban and industrial area
During rainy season from May to August less concentration is observed
November December shows high VCDs of NO2
Location of emission is in eastern part of Thailand
The cities with higher concentrations in central , northeast and eastern part of Thailand can easily identified from SCIAMACHY result
Rayong, Chonburi and the nearest part of these provinces are observed as a hotspot for NO2 concentration
VCD s of NO2 for Thailand
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Comparison of NO2 with major land use
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Validation of NO2 VCDs with in situ Observations
2004-2008
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Field Survey
Current concentrations of CO2 checked in Thailand using mobile sensor ( 2009)
Observation sites are Bangkok ( Urban), Nakhon Si Thammarat
( Costal area ) Higher concentration observed in Bangkok as compare to Nakhon Si
Thammarat
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Conclusion ( CO2)
Good correlation between SCIAMACHY and in situ observations
The higher concentrations are observed over the urban and industrial zones
During burning of rice field, high concentration observed over agricultural field
During summer, high concentrations observed
During cloudy condition lack of observations
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Conclusion ( NO2)
Eastern part observed as a hotspot and main source of NO2 emission (Urban and Industrial sector)
January to April high emission from agricultural field
Forest shows less concentration
Good correlations observed between some ground stations and SCIAMACHY result
Southern part shows less concentrations as compare to other part of Thailand ( many mangroves forests and costal zone)
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SCHIAMACHY Challenges
It is not possible for SCIAMACHY to measure the trace gases during night time or cloudy conditions
The repeat cycle is 6 days ( Poor temporal coverage)
For understanding the source and sinks of Carbon dioxide better spatial resolution satellites required
For quantifying sources and sinks of trace gases a measurement accuracy need 1% or better than that
GOSAT is new GHG measurement satellite with better resolution than SCIAMACHY (0.5 km)
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Acknowledgement
I would like to say thanks to
University of Leicester, UK ( Dr. Paul Monk, Dr.Alan Hewitte) University of Bremen, Germany ( Dr. Andreas Ritcher ) University of Edinburgh , UK ( Dr. Micheal Barkley ) Silpakorn University , Thailand ( Dr. Ornprapa Robert) Dr. I.V. Murali Krishna ( India) Pollution Control Department ( PCD), Thailand
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