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SEE-GRID-SCI

Grid applications for air quality studies in Bulgaria

Environmental VO, SEE-GRID-SCI

EGEE’09 conference, Barcelona, 21-25 September 2009

Kostadin Ganev, Nikolai Miloshev, Angelina Todorova, Georgi Jordanov

Geophysical Institute, BAS

Emanouil Atanasov, Todor Gurov, Aneta KaraivanovaInstitute for Parallel Processing, BAS

Dimiter Syrakov, Maria Prodanova, Valeri SpiridonovNational Institute of Meteorology and Hydrology, BAS


SEE-GRID-SCI

Contract n°: RI-211338Project type: I3Start date: 01/05/2008Duration: 24 monthsWeb site: www.see-grid-sci.eu

Contact person: Dr. Ognjen Prnjat, GRNET


SEE-GRID-SCI: The partnership

ContractorsGRNET GreeceCERN SwitzerlandSZTAKI Hungary IPP-BAS BulgariaICI RomaniaTUBITAK TurkeyASA/INIMA AlbaniaUoBL Bosnia-HerzegovinaUKIM FYR of MacedoniaUOB SerbiaUoM MontenegroRENAM MoldovaRBI CroatiaIIAP-NAS-RA ArmeniaGRENA Georgia

Third Party / JRU mechanism usedassociate universities / research centres

GRNET.gr

SEE-GRID-SCI partnership

MTA SZTAKI .hu

IPP .bg

ICI .ro

TUBITAK.tr

UPT.al

UKIM.mk

UoBL.ba

RBI.hr

UOB.rs

RENAM.md

UOM.me

GRENA.ge

IIAP-NAS-RA.am


SEE-GRID-SCI : converged communication and service infrastructure for SEE

GRNET.gr

MTA SZTAKI .hu

IPP .bg

ICI .ro

TUBITAK.tr

UPT.al

UKIM.mk

UoBL.ba

RBI.hr

UOB.rs

RENAM.md

UOM.me

GRENA.ge

IIAP-NAS-RA.am

SEEFIRE + Geant Support

SEE-GRID

SeismologyVO

MeteorologyVO

EnvironmentalVO

SeismologyVO

MeteorologyVO

EnvironmentalVO

SEE-SCI

e-Infrastru

cture


SEE-GRID-SCI : Environmental VO

2 main application domains: Environmental protection/response and geomagnetism Environment-oriented satellite image processing

5 core applications: Multi-scale atmospheric composition modeling (MSACM) Modeling System for Emergency Response to the Release of

Harmful Substances in the Atmosphere (MSERRHSA) Monte Carlo Sensitivity Analysis for Environmental Systems Climate Change Impact on AQ (CCIAQ) Environment Oriented Satellite Data Processing + related

applications


MSACM - Main Features

GRID environment based integrated, multi-scale Balkan region oriented AQ modelling systemStudy the atmospheric pollution transport and transformation processes (accounting also for heterogeneous chemistry and the importance of aerosols for air quality and climate) from urban to local to regional (Balkan) scales; Track and characterize the main pathways and processes that lead to atmospheric composition formation in different scales; Provide high quality scientifically robust assessments of the air quality and its origin, thus facilitating formulation of pollution mitigation strategies at national and Balkan level.


MSACM - Application on the Grid

The application is resource intensive and in perspective will have definitive response time limits. It requires computational, storage and networking capacity which is beyond the capabilities of the Geophysical Institute.

The application is currently deployed at production-level . The applications input data con be divided into several parts – some of them are more static and some of them vary with the jobs. The total input data can be up to 20 GB. The output data produced for one run is between 1 and 10 GB depending on the inputs. The relatively more static parts of the input will be installed in the Environmental VO application directory taking < 20 GB. The varying input will be transferred from the storage element and the results will be uploaded to the storage element and registered in the LFC.In perspective this application will have hard requirements on the time to finish a computations. Thus eventually it will require MPI with guaranteed startup.


MSACM Grid-mode tests: Country-to-country pollution exchange on the Balkans according to EMEP

methodology

Total oxidized sulfur deposition [mg(S)/m2], four scenarios, May-July 2000

Total oxidized nitrogen deposition [mg(N)/m2], four scenarios, May-July 2000


MSACM Grid-mode tests: Country-to-country “blame”

matrixes on the Balkans according to EMEP methodology Blame matrix for oxidized sulphur total deposition, May-July 2000, 1000 t(S).

Emitter

Receiver BG GR RO other all

sources BG 14.772 0.381 3.021 5.838 31.717 GR 3.612 4.230 0.795 6.281 9.058 RO 3.278 0.200 18.203 16.652 28.251 other 10.055 4.246 6.232 64.605 93.376 deposited 31.717 9.058 28.251 93.376 162.401 total emission [S] 72.425 6.708 68.374 180.789 348.297

% Rec/Emit 43.792 33.913 41.318 51.649 46.627

Blame matrix for oxidized nitrogen total deposition, May-July 2000, 1000 t(N).

Emitter

Receiver BG GR RO other all sources

BG 1.065 0.011 0.137 0.150 1.375 GR 0.077 0.890 0.000 0.458 1.015 RO 0.108 0.000 1.916 0.481 2.202 other 0.125 0.114 0.149 4.496 5.584 deposited 1.375 1.015 2.202 5.584 10.176 total emission [N] 18.317 20.406 44.210 91.430 174.363

% Rec/Emit 7.506 4.976 4.981 6.107 5.836

Blame matrix for reduced nitrogen total deposition, May-July 2000, 1000 t(N).

Emitter

Receiver BG GR RO other all

sources BG 3.178 0.299 1.232 1.974 5.598 GR 0.455 3.004 0.297 2.119 5.058 RO 0.682 0.090 11.843 5.156 16.403 other 1.282 1.664 3.031 23.874 33.123 deposited 5.598 5.058 16.403 33.123 60.182 total emission [N] 18.317 20.406 44.210 91.430 174.363

% Rec/Emit 30.561 24.785 37.103 36.228 34.515


MSACM Grid-mode tests: Country-to-country ozone pollution exchange on the Balkans evaluated in terms of

“number of bad days”

Number of bad days (days with averaged O3 concentration over 40 ppb) for May-July 2000 for scenarios with all emission sources

(scenario All), Bulgarian emissions set to zero (noBG), Romanian emissions set to zero (noRO), Greek emissions set to zero (noGR)


MSACM Grid-mode tests: Example of local-scale simulations – sulfur pollution from “Maritza-Iztok” TPPs

Evolution of the surface SO2 fields for July 8, 2005

Evolution of the surface SO2 fields for July 9, 2005


MSERRHSA Main Features

GRID based modelling system for operational response to accidental releases of harmful gases in the atmosphere Performs highly accurate and reliable risk analysis and assessment for selected “hot spots” In case of emergency provides short-term local to regional scale forecast of the propagation of harmful gasesPerforms, in an off-line mode, a more detailed and comprehensive analysis of the possible longer-term impacts on the environment and human health


MSERRHSA - Application on the Grid

The application is resource intensive – requires computational and storage capacity which is outside of the capabilities of the Geophysical Institute. The application is currently testing Grid mode on one cluster with MPI. The applications input data con be divided into several parts – some of them are more static and some of them vary with the jobs. The total input data is several GB. The output data produced for one run is between 1 and 7 GB depending on the inputs. The relatively more static parts of the input will be installed in the Environmental VO application directory taking < 10 GB. The varying input will be transferred from the storage element and the results will be uploaded to the storage element and registered in the LFC.The application can also be run as series of jobs depending on the inputs.


“preparedness” mode tests: accidental Chlorine release in “VEREJA-HIM” JAMBOL – averaged surface Cl2 concentrations for January 2008 for

two release times

to = 2:00 to = 14:00


“preparedness” mode tests: accidental Chlorine release in “VEREJA-HIM” JAMBOL – averaged surface Cl concentrations for January 2008 for

two release times

to = 2:00 to = 14:00


“preparedness” mode tests: accidental Chlorine release in “VEREJA-HIM” JAMBOL – averaged surface HCl concentrations for January 2008

for two release times

to = 2:00 to = 14:00


“preparedness” mode tests: accidental Chlorine release in “VEREJA-HIM” JAMBOL – averaged surface HOCl concentrations for January 2008

for two release times

to = 2:00 to = 14:00


CCIAQ - Main Features

GRID environment based integrated, regional scale AQ modelling systemPart of coordinated efforts for central and eastern Europe climate change impact and vulnerability assessment Will perform simulations for 3 time slashes: 1991-2000 (Control Run), 2041-2050 (Near Future) and 2091-2100 (Far Future) Study the sensitivity of air-pollution levels in Bulgaria to potential climate changebased on data analysis of long-term simulations of Air Quality Models (AQM) driven by Regional Climate Models (RCM) for present climate and for future projections Track and characterize the main pathways and processes that link regional climate and atmospheric composition formation in regional scale


CCIAQ – data flows and organization


CCIAQ – emission scenarios & validation


CCIAQ grid tests – some results for year 2000

Yearly Time series and Scattered diagram: Rojen


CCIAQ grid tests – some results for year 2000 (2)

Yearly Time series and Scattered diagram: Ahtopol


CCIAQ grid tests – some results for time slash 1991-2000

7. 1991-2000 POLLUTION LEVELS

Mean Ozone Concentration (1991-2000)

Averaged Daily Maxima (Apr-Sep, 1991-2000)


CCIAQ grid tests – the role of biogenic emissions

A vs. C

B vs. D

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