Acknowledgments

1
GEIA ACCENT Open Conference, 26 28 October,
2009, Oslo, Norway
Greenhouse and other Pollutants Regional
Production Responsibility on the Basis of
comparing in Situ and Mean Atmosphere
Concentration Data following a CO2 Case Study
S. Cht. Mavrodiev 1, L. Pekevski 2 , B. Vachev1 1
Institute for Nuclear Research and Nuclear
Energy, Bulgarian academy of Sciences, Sofia,
Bulgaria 2 Skopje University, Skopje, Macedonia
Abstract The methodology for other greenhouses
and pollutants production responsibility is
proposed based on the method developed for
estimation of regional CO2 production
responsibility. The comparison of CO2 local
emissions production data with world CO2
atmosphere data will permit to judge for overall
effect in curbing (reasons for) global warming as
well as chemical pollutions.
Theoretical basis The investigation of the hidden
(heuristic) dependences and correlations between
Space, Sun and Earth ecosystem parameters can
help to estimate the reliability of different
physical models as well as to give the basis for
different time and space scales predictions (
Mavrodiev, Ries, 2006).
Estimation of regional CO2 production
responsibility The estimation is based on
comparison of the annual mean CO2 atmosphere
concentration and regional in situ measured CO2
concentration. The description of annual mean CO2
atmosphere concentration is present in the next
figure. The explicit form of the fit model was
discovered under the assumption (Mavrodiev, Ries,
2006) that the CO2 atmosphere concentration
depends on Sun spots number, Sun irradiation, CO2
natural (ocean and terrestrial) and anthropogenic
production
World map of the GAW and SIO in situ stations for
measuring the CO2 atmosphere concentration. The
circles are the coordinates of 139 CO2 stations
World Data Centre for Greenhouses Gases
http//gaw.kishou.go.jp/wdcgg/ Carbon Dioxide
Research Group, SIO, http//cdiac.esd.ornl.gov/tre
nds/CO2/sio-keel.htm
Application for estimation of the regional CO2
production responsibility by the value of linear
fit parameter, different for every stations
The CO2 Th Atm (yr) behavior as function of
CO2AnthroProduction, SunSpots and SunHeat. Data
source - Mauna Loa and Global CO2 data
Atmospheric CO2 concentrations (ppmv) derived
from in situ air samples collected in Mauna Loa
Observatory, Hawaii, C.D. Keeling, T.P. Whort,
Carbon Dioxide Research Group, SIO Global CO2
Emissions from fossil-Fuel Burning, cement
Manufacture and Gas Flaming 1751 2002, March,
10, 2005 Gregg Marland, Tom Boden, Robert J.
Andres, Carbon Dioxide Information Analysis
Center, Oak Ridge National Laboratory
The possible estimation of regional CO2
production responsibility for Monte Cimone,
Schauinsland and Mauna Loa Stations. The blue
curve is the mathematical model (fit) of CO2
atmosphere concentration CO2Atm(yr), (Mavrodiev,
Ries, 2006) Data source World Data Centre for
Greenhouses Gases http//gaw.kishou.go.jp/wdcgg/
The explicit form of connection between local
station and mean atmosphere CO2 concentration was
investigated using the Tichonov - Alexandrov
inverse problem method and finally was received
the next parametrization with physically clear
dependences linear for regional responsibility
and exponential for altitude of the
stations. CO2Local(yr) a(ilocal)
exp(-baltitude) CO2Atm(yr), where a(ilocal),
ilocal 1,,Number of Stations and b m-1 The
value of parameter b 6.7e-6 m-1 is illustrated
in the next figure
The altitude dependences exp(-bAltitude) of CO2
ppm atmosphere concentration, where
b6.71e-6m-1, altitude m Data source World
Data Centre for Greenhouses Gases
http//gaw.kishou.go.jp/wdcgg/ Carbon Dioxide
Research Group, SIO, http//cdiac.esd.ornl.gov/tre
nds/CO2/sio-keel.htm
The estimation of regional CO2 production
responsibility on the basis of in situ data CO2
atmosphere concentration for all period of
monitoring
The correlation between local temperature and CO2
behavior for Monte Cimone, Schauinsland and
Waldhof monitoring stations
Estimation of regional CO2 production
responsibility on the basis of in situ data CO2
atmosphere concentration. The circles are 139 CO2
stations. The description of the annual CO2 data
station is performing with function CO2Station
(yr) a(iplaces) exp(bAltitude)CO2Earth(yr),
where a(iplaces) and b1/km are fit parameters
and CO2Earth(yr) is the function describing the
CO2 atmosphere concentration. The bars are
differences (a(iplaces) 0.9700)1000, which is
relative estimation of the CO2 regional
production with mean CO2 atmosphere
concentration. Data source World Data Centre for
Greenhouses Gases http//gaw.kishow.go.jp/wdcgg.ht
ml Carbon Dioxide Research Group, SIO,
http//cdiac.esd.ornl.gov/trends/CO2/sio-keel.htm
Conclusion In an obvious way the regional CO2 and
other greenhouse and pollutant gases can be
estimated for different time periods.The
including of the analysis of the regional data
for industry, agriculture, transport and cities
infrastructure can permit to create not only a
model for regional pollution responsibility but
also models for helping the decision makers
planning and control.
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Acknowledgments Authors are very thankful to
contributors and responsible for data persons
from different station, for possibility to use
data published in the respective data bases of
World Data Centre for Greenhouses Gases
http//gaw.kishow.go.jp/wdcgg.html and Carbon
Dioxide Research Group, SIO, http//cdiac.esd.ornl
.gov/trends/CO2/sio-keel.htm AmstIsl (LSCE,
NOAA/GMD), Ascension Island (NOAA/GMD), Assekrem
(NOAA/GMD), Cape Point (SAWS), Crozet (NOAA/GMD),
Izana (INM), Tenerife (NOAA/GMD), Mt. Kenya
(NOAA/GMD ), Gobabeb (NOAA/GMD), Mahe Island
(NOAA/GMD), Anmyeon-do (KMA), Bering Island
(MGO), Ochi-ishi (NIES), Mt. Dodaira (Saitama
Prefecture), Hateruma (NIES), Hamamatsu (Shizuoka
University), Issyk-Kul (KSNU), Kaashidhoo
(NOAA/GMD), Kisai (Saitama Prefecture), Kotelny
Island (MGO), Gosan (METRI), Kyzylcha (MGO), Sary
Taukum (NOAA/GMD), Plateau Assy (NOAA/GMD),
Minamitorishima (JMA), Ryori (JMA), Tae-ahn
Peninsula (NOAA/GMD), Tsukuba (MRI), Takayama
(AIST), Urawa (Saitama Prefecture), Ulaan Uul
(NOAA/GMD), Waliguan (CAMS), Mt. Waliguan
(NOAA/GMD), Yonagunijima (JMA), Easter Island
(NOAA/GMD), Tierra del Fuego (NOAA/GMD),
Alert(EC,NOAA/GMD,CSIRO), St. Croix (NOAA/GMD),
St. David's Head (NOAA/GMD), Tudor Hill
(NOAA/GMD), Barrow (NOAA/GMD), Cold Bay
(NOAA/GMD), Cape Meares (NOAA/GMD), Cape St.
James (MSC), Estevan Point (CSIRO), Grifton
(NOAA/GMD), Key Biscayne (NOAA/GMD), Park Falls
(NOAA/GMD), Mould Bay (NOAA/GMD), Niwot Ridge
(NOAA/GMD), Olympic Peninsula (NOAA/GMD), Point
Arena (NOAA/GMD), Ragged Point (NOAA/GMD), Sable
Island (MSC), Southern Great Plains (NOAA/GMD),
Shemya Island (NOAA/GMD), Trinidad Head
(NOAA/GMD), Wendover (NOAA/GMD), Baring Head
(NIWA), Bukit Koto Tabang (NOAA/GMD), Cape
Ferguson (CSIRO), Cape Grim (NOAA/GMD,CSIRO,BoM/CS
IRO), Christmas Island (NOAA/GMD), Guam
(NOAA/GMD), Cape Kumukahi (NOAA/GMD), Sand Island
(NOAA/GMD), Mauna Loa (NOAA/GMD,CSIRO), Macquarie
Island (CSIRO), Tutuila (NOAA/GMD), Terceira
Island (NOAA/GMD), Baltic Sea (NOAA/GMD),
Brotjacklriegel (BA), Black Sea (NOAA/GMD), Monte
Cimone (CAMM), Deuselbach (UBA), Puszcza
Borecka/Diabla Gora (IOEP), Fundata (NMH), Dwejra
Point (NOAA/GMD), Hegyhatsal (HMS,NOAA/GMD),
Heimaey (NOAA/GMD), Kollumerwaard (RIVM),
K-puszta (HMS ), Waldhof (UBA), Lampedusa (ENEA),
Mace Head (NOAA/GMD, LSCE), Neuglobsow (UBA),
Pallas-Sammaltunturi (FMI,NOAA/GMD),
Zugspitze/Schneefernerhaus (UBA), Shetland
(CSIRO), Sonnblick (UBA), Schauinsland (UBA),
Ocean Station Charlie (MGO), Ocean Station 'C'
(NOAA/GMD), Ocean Station 'M' (NOAA/GMD), Summit
(NOAA/GMD), Teriberka (MGO), Sede Boker
(NOAA/GMD), Wank Peak (MK-IFU), Westerland (UBA),
Zeppelinfjellet (ITM), Ny-Alesund (NOAA/GMD),
Zugspitze (UBA), Zingst (UBA), Zugspitze
(IMK-IFU), Halley Bay (NOAA/GMD), Jubany (ISAC),
Mawson (CSIRO), Palmer Station (NOAA/GMD), South
Pole (NOAA/GMD), Syowa Station (NIPR,NOAA/GMD),
Alert NWT (SIO), Barrow (SIO), La Jolla Pier
(SIO), Mauna Loa (SIO), Cape Kumukahi (SIO),
Christmas Island (SIO), American Samoa (Cape
Matatula) (SIO), South Pole (SIO). Discussions
about co-authorships are following.