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EANET activities and the applicability to model development

This document discusses the activities and applicability of the Acid Deposition Monitoring Network (EANET) and its methodologies for model development. It highlights major monitoring parameters, including wet deposition and particulate matter across various sites in Asia, such as Japan, China, and Thailand. The text also outlines quality assurance activities, model specifications, and detailed comparisons between observed and calculated values of pollutants, facilitating a comprehensive understanding of regional air quality impacts and trends.

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EANET activities and the applicability to model development

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  1. EANET activities and the applicability to model development Kazuhide Matsuda ADORC

  2. EANET monitoring sites (2001)

  3. Major monitoring parameters (2001) • Wet deposition (major ions): 41 sites • SO2 : 28 sites • O3 : 12 sites (Japan and Thailand) • PM10 : 14 sites (China and Japan) • PM2.5 : 2 sites (Japan) • Aerosol components, Total nitrate (nitrate + HNO3), total ammonia (NH4+ + NH3) : 12 sites

  4. Publications of EANET data • The “Procedures on Data and Information Disclosure for the Acid Deposition Monitoring Network in East Asia (EANET)”. • Disclosed data are available for the model validations. • Following reports are currently opened to the publish. • “Report on the Acid Deposition Monitoring of EANET during the Preparatory Phase” • “Data Report on the acid deposition in the East Asian region 2000”

  5. Procedures of data verifications National Centers Data ADORC (Network Center) Data Verification Group Senior Technical Manager`s Meeting Science Advisory Committee Meeting (Inter Governmental Meeting)

  6. Relevant activities • QA/QC activities • Inter-laboratory Comparison Projects • Data Verification Programs • Training programs • ADORC individual training • JICA group training • Research activities on monitoring methodologies • Joint Researches between ADORC and participating countries • ADORC Technical Missions

  7.  Model development in ADORC “ Regional Air Quality Model (RAQM)” • 3D Eulerian model for regional scale • Terrain following height coordinate • Model Resolution • Horizontal grids: 1°×1° • Vertical extent: 8 layers (0.05, 0.3, 0.75, 1.5, 2.75, 4.5, 6.5, 8.75km) • Gas-Phase Chemical Mechanism • CBM-IV mechanism • 32 species and 52 chemical reactions • Wet Deposition • Scavenging ratios • Dry Deposition • Wesely’s parameterization scheme • Dust and Sea salt Modules • Dust (Kosa) and sea spray droplets (sea salts) emissions

  8. Monthly wet deposition calculated by RAQM nss-SO42- NO3- NH4+ Period: April 1999 Unit: m mol/m2/month

  9. Influence of Miyakejima Volcano • Monthly concentration changes (%) of SO2 (A) and sulfate (B) near the surface, September 2000 A B

  10. Comparison between observed and calculated values of sulfate (non sea salt) concentration in rainwater (April, 1999)

  11. Comparison between observed and calculated values of nitrate in rainwater. (April, 1999)

  12. Underestimation? nss-SO42- NH3+ Sado, Dec.

  13. nss-SO42- Inter-laboratory comparison • Sample No. 1 High concentration • Sample No. 2 Low concentration NH3+

  14. Sulfate concentration in precipitation at Sado station nssSO42- = SO42- – (SO4/Na)sw x Na+

  15. Comparison study on monitoring methodologies Particulate sulfate Particulate nitrate

  16. MICS-Asia Phase II

  17. Perspectives of the Phase II • Long-term simulation and source-receptor analysis; • Expanding the chemical species such as sulfur, nitrogen, aerosols, ground-level ozone and • Individual episodes that are of special interest for gaining insights into important conditions in Asia (e.g., yellow-sand and high ozone episodes).

  18. Simulation cases • Case 1 March 2002 • Yellow sand and high ozone episodes • Case 2 July 2001 • Warm and high precipitation • High SO2 episode in Japan • Case 3 December 2001 • Cold and low precipitation • Case 4 March 2002 • Inter-annual comparison with March 2001. • One of the tasks on the LTP project

  19. Plan of the 1st attempt Met. fields Dr. Z. Wang Initial condition Dr. T. Holloway • Announcement March 2003 Inventories Dr. Street Monitoring data Dr. Matsuda Data set Modelers Model simulations Results Inventory comparison 6th WS Compiling data set Study group Joint papers

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