Impact analysis of local atmospheric dynamics to pollution transport - - PowerPoint PPT Presentation

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Impact analysis of local atmospheric dynamics to pollution transport - - PowerPoint PPT Presentation

Sokolov Anton 1 , Dmitriev Egor 2 , Delbarre Herv 1 , Augustin Patrick 1 , Nunez Gatan 1 Impact analysis of local atmospheric dynamics to pollution transport and dispersion in urbanized coastal zone * 1 Laboratitary of Physics And Chemisry of


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Impact analysis of local atmospheric dynamics to pollution transport and dispersion in urbanized coastal zone*

Sokolov Anton1, Dmitriev Egor2, Delbarre Hervé1, Augustin Patrick1, Nunez Gaétan1

1 Laboratitary of Physics And Chemisry of Atmosfer (CNRS UMR 8101), Université

du Littoral Côte d’Opale & Univ Lille Nord de France, Dunkerque, France

2Institute of Numerical Mathematics RAS, Russia

*International Conference and Early Career Scientists School on Environmental Observations, Modeling and Information Systems , Irkutsk , June 24 - July 2, 2012

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Plan of the talk

  • Region of Dunkirk
  • Measurement campaign BTEX 2006
  • Numerical model set-up
  • Simulations with different resolutions
  • Backward trajectories
  • Prespectives and conclusions
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Campaign BTEX 2006

Measurements:

  • at 5 stations
  • each 15 min
  • from February till

October Volatile organic compounds (VOC) :

  • benzene
  • toluene
  • ethylbenzine
  • m/p xylene
  • o xylene

Principal sources:

  • Industry – 36%
  • Transport – 32%
  • Residential - 20 %
  • Energy production - 7%
  • Agriculture – 5%
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N NNE NE NEE E SEE SE SSE S SSW SW SWW W NWW NW NNW 2 4

Characterization of air mass

  • age - by concentration ratio, e.g. C(Bz)/C(Tl)
  • signature of an industry (also by ratio)
  • localization - by simultaneous peaks of pollution
  • pollution + windrose:

N NNE NE NEE E SEE SE SSE S SSW SW SWW W NWW NW NNW 2 4 6 Bensene Toluene Ethylbenzene m,p-Xylene

  • -Xylene

St Pol Port Est

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Numerical model set-up

MESO-NH non-hydrostatic model 3 included models –

  • Model 1 1500x1500km, 10km
  • Model 2 120x120km, 2 km
  • Model 3 35x35km, 0.5 km, 3D

turbulence scheme

  • Z: 70 levels up to 12 km.

SURFEX surface scheme, resolution 0.5 km in Europe Two week period in June, 15 min

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Resolution comparison (1) 15m temperature, horizontal cut, sea breeze

  • A. Model 2 (2 km), which interacts with Model 3
  • B. Model 3 (resolution 0.5 km)
  • C. Zoom of A correspond to domain of Model 3

A B C

120 km y 120 km x

35 km

y 35 km x

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Resolution comparison (2) 15m wind speed, horizontal cut, sea breeze

  • A. Model 2 (2 km), which interacts with Model 3
  • B. Model 3 (resolution 0.5 km)
  • C. Zoom of A correspond to domain of Model 3

A B C

120 km y 120 km x

35 km

y 35 km x

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Resolution comparison (3) wind speed, vertical YZ cut (B, C) , sea breeze

  • A. Model 2 (2 km), which interacts with Model 3

(horizontal cut, 15 m)

  • B. Model 3 (resolution 0.5 km)
  • C. Zoom of A correspond to domain of Model 3

A B C

120 km y

1200 m

z

1200 m

z 35 km y 120 km x 35 km y

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Backward trajectories in horizontal (XY) plane

(a) 9 June 12:00 - low pollution (b) 13 June 6:00 - high pollution

120 km 120 km (a) (b) 120 km 120 km

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Backward trajectories in vertical (YZ) plane

(a) 9 June 12:00 - low pollution (b) 13 June 6:00 - high pollution

300 m 120 km (a) (b) 300 m 120 km

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Backward trajectories, C(o-Xylene) > 2 µg/m-3 1.Transport pollution(a) 2.Industrial pollution(a) 3.Port pollution(b)

1 2 3

N S

  • a. « Non-local »

pollution

  • b. « Local »

pollution

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Conclusions

  • COV measurements are coupled with model

backward terajectorys

  • Fine resolution is important
  • Key role of local atmospheric dynamics (sea and
  • ffshore breezes)

Perspectives

  • Cluster analysis
  • Map of regional pollution
  • Additional chemical tracers
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Thank you for your attention!.. )

All the backward trajectoires, model 2

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Trajectoires and centroids (k-means)