Identifying and Quantifying Sources of Halogenated ... · 2 source1 source2 source3 observed time C...

Identifying and Quantifying Sources of Identifying and Quantifying Sources of Halogenated Greenhouse Gases Using Halogenated Greenhouse Gases Using LagrangianLagrangian Dispersion MethodsDispersion Methods

M. M. MaioneMaione andand J. J. Arduini. Arduini. Inst. of Chemical SciencesInst. of Chemical SciencesL.L. Belfiore, Belfiore, F.F. FurlaniFurlani, and U. Giostra. , and U. Giostra. InstInst. of . of PhysicsPhysicsUniversity of Urbino, ITALYUniversity of Urbino, ITALY

Mt. Cimone GAWMt. Cimone GAW--WMO Regional StationWMO Regional StationLat. 44.11 N, Lon. 10. 42 E, 2165 m Lat. 44.11 N, Lon. 10. 42 E, 2165 m aslasl

H2 and CO Measurements

FID channel: CH4 and CO

System System forfor Observation of Observation of HalogenatedHalogenated GreenhouseGreenhouse Gases in EuropeGases in Europe

HALOCARBONS MEASUREMENTS

1. C2 F62. SF63. HFC-234. Halon 13015. CFC-1156. HFC-1257. HFC-143a8. CFC-129. HCFC-2210. CH3 Cl11. HFC-134a12. Halon 121113. HFC-152b14. CFC-11415. CH3 Br16. HCFC-142b17. HCFC-124b18. CFC-1119. CH3 I20. CH2 Cl221. HCFC-141b22. CFC-11323. CHCl324. CCl425. CHCCl326. CH3 CCl327. C2 Cl4

0

4

8

12

16

20

High concentration values Minimum 10 day Baseline

Jan Feb Mar Apr May Jun Jul Sep Oct Nov DecAug

HFC 125 MtCimone 2004

Baseline values and concentration peaks

0

2

4

6

8

10

High concentration values Minimum 10 day Baseline

April

HFC 125 MtCimone

10

15

20

25

30

35

40

45

50high concentration values Baseline

ppt MethylChloroform - MtCimone

2002 2003 2004 2005 2006 2007 2008

0

5

10

15

20

25

30high concentration values Baseline

ppt HFC 125 - MtCimone

2002 2003 2004 2005 2006 2007 2008

Trends

0

20

40

60

80

100

120

140

160

180

200high concentration values Baseline

ppt HFC 134a - MtCimone

2002 2003 2004 2005 2006 2007 2008

0

5

10

15

20

25

30

35

40high concentration values Baseline

ppt HFC 152a - MtCimone

2002 2003 2004 2005 2006 2007 2008

Trends

Back attribution techniques for source allocation

Forward modellingFollowing A.Manning et al (JGR, 2003) a forward approach has been implementedA constant release was emitted from 780 cells (100 km x 100 km) covering whole Europe >>Data measured at Mt Cimone and modelled contributions of each cell to Mt Cimone station were used for deriving back-attribution of source strengths through a stepwise regression procedure >>

HFC-125 : Monte Cimone

0

2

4

6

8

10

simulated observed

HFC125 MtCimone 2004ppt

Jan Feb Mar Apr May Jun Jul Sep Oct Nov DecAug

MeBr : Monte Cimone

0

1

2

3

4

5

simulated observed

CH3Br MtCimone 2004ppt

Jan Feb Mar Apr Jun Jul Aug Sep Oct Nov DecMay

Some statistical indecesreceptor correlation Factor 2

MH HFC125 0.91 0.96

MH MeBr 0.75 0.83

MtC HFC125 0.61 0.73

MtC MeBr 0.40 0.77

ConclusionsThe proposed procedure has been shown to be able to reproduce “simple” cases. However, so far it is not fully reliable in very complex situations, as that of Monte Cimone, characterised by a complex meteorological and source field.

However, improvements in the description of atmospheric circulation as well as availability of longer time series, could make this technique more reliable in localisation and quantification of source regions

AcknowledgementsThe SOGE consortium: S. Reimann, M. Vollmer (EMPA, CH) P. Simmonds, B.Greally, S. O’Doherty (University of Bristol, UK) F. Stordal (University of Oslo, NO)Ray Weiss and the SIO98 scale, the University of Bristol and the UB 98 scalePaolo Bonasoni, station chief, and all the staff of the CNR “O. Vittori” research station at Mt. Cimone

0

0.5

1

1.5

2

source1source2source3observed

time

C (ppt)homogeneous sources

0

0.5

1

1.5

2

source1source2source3observed

weighted sources

time

C (ppt)

0

0.5

1

1.5

2

sum ofthreeweightedsourcesobserved

contribution of the three weighted sources

time

C (ppt)

0

0.5

1

1.5

2

sum ofthreeweightedsourcesallweightedsources

observed

contribution of all weighted sources

time

C (ppt)

<<