Towards bottom-up SHERPA and RIAT+ in Slovenia Slovenian - - PowerPoint PPT Presentation

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Towards bottom-up SHERPA and RIAT+ in Slovenia Slovenian - - PowerPoint PPT Presentation

Jul 26, 2023 327 likes •517 views

Towards bottom-up SHERPA and RIAT+ in Slovenia Slovenian Environment Agency Marko Rus, Rahela abkar, Don Cigleneki, Luka Matav and Damijan Bec LIFE-IP PREPAIR - Po Regions Engaged to Policies of Air Action C3: Establishment of a system

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Towards bottom-up SHERPA and RIAT+ in Slovenia

Slovenian Environment Agency Marko Rus, Rahela Žabkar, Don Ciglenečki, Luka Matavž and Damijan Bec

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LIFE-IP PREPAIR - Po Regions Engaged to Policies of Air

Action C3:

Establishment of a system for integrated assesment of the impact of activities and measures in the Po valley regions and Slovenia.

ALADIN-SI/CAMx SHERPA RIAT+

SHERPA SRR model:

Current resolution: 7 km Resolution in preparation: 4.4 km Planed: 1 km

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Geographical Situation

  • Complex

montainous terain

  • Low wind speed

conditions in basins and valleys

  • Frequent long-

lasting temperature inversions

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Main Sources of Pollution

  • Widespread use of wood for domestic heating
  • High PM10 values caused primarly by local conditions

36% 32% 26% 6%

Celje < 50 ug/m3

49% 29% 17% 5%

Celje > 50 ug/m3

Example: Analysis for 4.11.2010 – 8.2.2011 in Celje station, days with exceedances have much higher contribution of wood burning (Positive Matrix Factorization (PMF) receptor model)

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Resu sults fr from the curr rrent SHERPA dis istribution

Source allocation, Po valley: Source allocation, Slovenia:

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Example: Ljubljana

Source allocation, Slovenia, for a cell inside Ljubljana: Governance control for the same cell:

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Example: Ljubljana

CAMS Source-Receptor forecast calculation for the period between 8th and 11th February 2018

Source: Interim Annual Assesment Report for 2018, Copernicus Athmosphere Monitoring Services

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ALADIN-SI/CAMx

CAMx

Concentration fields ALADIN-SI Meteorology Po Basin emission inventory (PREPAIR) Slovenia emission inventory (PREPAIR) Emissions outside PREPAIR region (TNO/MACC-III)

Chemical boundary conditions (C-IFS)

Land cover, leaf area index Ozone column

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Source Receptor Relationships

𝛦𝐷

𝑘 = ෍ 𝑞 𝑄𝑠𝑓𝑑

෍

𝑗 𝑂

𝑏𝑗𝑘

𝑞 𝛦𝐹𝑗 𝑞

𝑏𝑗𝑘

𝑞 = 𝜷𝒌 𝒒 1 + 𝑒𝑗𝑘 −𝝏𝒌

𝒒

Prec = num. of precursors

𝑒𝑗𝑘 = distance between source

cell i and receptor cell j

Using the results from ALADIN-SI/CAMx, the coefficients 𝜷𝒌

𝒒 and 𝝏𝒌 𝒒 connecting

fields in the SHERPA model will be computed. The coefficients 𝜷𝒌

𝒒 and 𝝏𝒌 𝒒will be used

also to run RIAT+.

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ALADIN-SI/CAMx - results

Yearly average PM10 concetrations 2016:

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ALADIN-SI/CAMx - results

Yearly average PM10 concetrations in 2016: Difference between the basecase and the caseof 50 % reduction of NOx, SOx, VOC, NH3, PM10:

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ALADIN-SI/CAMx - results

Yearly average PM10 concetrations in 2016: Difference between the basecase and the caseof 50 % reduction of PM10:

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SHERPA: PM10 delta concentrations: 50% reduction of PM10

Results in Po Valley (above) are similar, but in Slovenia the ALADIN-SI/CAMx shows much stronger reduction.

  • max. Value 6 µg/m3
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ALADIN-SI/CAMx - results

Yearly average NO2 concetrations in 2016:

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ALADIN-SI/CAMx - results

Yearly average NO2 concetrations in 2016: Difference between the basecase and the case of 50 % reduction of NOx, SOx, VOC, NH3, PM10:

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SHERPA: NO2 delta concentrations: 50% reduction of NOx, SOx, VOC, NH3, PM10

  • max. Value 22 µg/m3
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Thank you for your attention.