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SEMAP 2018 Ozone Projections and Sensitivity to NO x & VOC Emissions Prepared by: Talat Odman - Georgia Tech Yongtao Hu - Georgia Tech Uma Shankar - UNC Jim Boylan - Georgia EPD Presented to: SEMAP Air Quality Modeling Workgroup April 2,


  1. SEMAP 2018 Ozone Projections and Sensitivity to NO x & VOC Emissions Prepared by: Talat Odman - Georgia Tech Yongtao Hu - Georgia Tech Uma Shankar - UNC Jim Boylan - Georgia EPD Presented to: SEMAP Air Quality Modeling Workgroup April 2, 2014

  2. Modeling Overview • 2007 and 2018 annual modeling with CMAQv5.01 – 36 km (CONUS) and 12 km grids – Updated mixing coefficients – Updated land-water interface • 2018 future year projections with MATS software (RRFs and DVFs) – Ozone - presented here – PM 2.5 - will be available soon … – Regional Haze - will be available soon … 2

  3. SEMAP 12-km Modeling Domain

  4. Calculation of DVF • Ran MATS with 2007 typical as “baseline” and 2018 base- case as “forecast” to get RRFs – RRF = (2018 base /2007 typ ) • DVF = DVC  RRF • Calculated four different ways: – Design Value Current (DVC) • 2007 DV (2005-2007) • 5-year (2005-2009) weighted average – Relative Response Factor (RRF) • Monitor (1 x 1) cell • 3 x 3 cell maximum 4

  5. 2018 DVFs: 3  3 RRF & 2005-2009 DVC 5

  6. 2018 DVFs: 3  3 RRF & 2005-2009 DVC (with UAA) 6

  7. 2018 DVFs: 1  1 RRF & 2005-2009 DVC 7

  8. 2018 DVFs: 1  1 RRF & 2005-2009 DVC (with UAA) 8

  9. 2007 vs. 5-year weighted average DVC 9

  10. 3  3 Max vs. 1  1 Cell RRFs 10

  11. Ozone Sensitivities • Start with 2018 modeling results • Perform emission sensitivity runs – Ozone season (5 months) on 12-km grid – Statewide 30% emission reductions • NO x and VOCs individually – 14 geographic regions • Ten individual SEMAP states • Maryland • MANE-VU (minus MD), LADCO, CENRAP – 2 precursors x 14 regions = 28 model runs 11

  12. VOC/NO x Sensitivity Updates Previous Sensitivity Modeling New Sensitivity Modeling CMAQv4.4 CMAQv5.01 1-Month summer episode 5-Month ozone season VISTAS 2009 OTW BaseD SEMAP 2018 SEMAP-wide VOC reductions State-wide VOC reductions County/state NO x reductions State-wide NO x reductions MOBILE6 MOVES Absolute difference Absolute difference RRF approach (MATS) >70 ppb cutoff (based on >70 ppb cutoff (based on modeled base year values) modeled future year values) 12

  13. Sensitivity Charts http://semap.ce.gatech.edu/node/1841 Charts of Ozone Sensitivities • Daily 8-hr maximum ozone responses to 30% NO x reductions – By site • All days • Days with typical 2007 8-hr maximum ozone above 75 ppb • Days with baseline 2018 8-hr maximum ozone above 70 ppb – By state • Site averages of all days • Site averages of days with typical 2007 8-hour maximum ozone above 75 ppb • Site averages of days with baseline 2018 8-hour maximum ozone above 70 ppb • Daily 8-hr maximum ozone responses to 30% VOC reductions – By site • All days • Days with typical 2007 8-hour maximum ozone above 75 ppb • Days with baseline 2018 8-hr maximum ozone above 70 ppb – By state 1313 • Site averages of all days • Site averages of days with typical 2007 8-hour maximum ozone above 75 ppb • Site averages of days with baseline 2018 8-hour maximum ozone above 70 ppb 13

  14. Sensitivity Charts (continued) http://semap.ce.gatech.edu/node/1841 Charts of Ozone Sensitivities • Design value responses to 30% NO x reductions – By state • Sites with at least one day of baseline 2018 8-hr maximum ozone above 70 ppb • Design value responses to 30% VOC reductions – By state • Sites with at least one day of baseline 2018 8-hr maximum ozone above 70 ppb 14

  15. Site Sensitivities • For each of the 674 ozone monitoring sites in the domain • NO x sensitivities – All days (updated) – Days above 75 ppb in 2007 (updated) – Days above 70 ppb in 2018 (new) • VOC sensitivities – All days (updated) – Days above 75 ppb in 2007 (updated) – Days above 70 ppb in 2018 (new) • Here: – 13-121-0055 (Confederate Ave., Atlanta, GA) – 24-025-1001 (Baltimore, MD) 15

  16. (All Days) 16

  17. (All Days with 2007 model > 75 ppb) 17

  18. (All Days with 2018 model > 70 ppb) 18

  19. (All Days) 19

  20. (All Days with 2007 model > 75 ppb) 20

  21. (All Days with 2018 model > 70 ppb) 21

  22. (All Days) 22

  23. (All Days with 2007 model > 75 ppb) 23

  24. (All Days with 2018 model > 70 ppb) 24

  25. (All Days) 25

  26. (All Days with 2007 model > 75 ppb) 26

  27. (All Days with 2018 model > 70 ppb) 27

  28. State Summaries • For each of the 31 states in the domain – For sites with 2018 days above 70 ppb • NO x and VOC sensitivities – Absolute sensitivity • D O 3 averaged over 2018 days above 70 ppb – Relative sensitivity • D DVF using MATS 28

  29. Calculation of D O 3 (Absolute Sensitivity) • Difference of daily max. 8-hr O 3 between 2018 sensitivity case and 2018 base case • D O 3 = 2018 sens  2018 base • Averaged over days with 2018 base daily max. 8-hr O 3 above 70 ppb 29

  30. Calculation of D DVF (Relative Sensitivity) • Ran MATS • 2018 base case as “baseline” and 2018 sensitivity as “forecast” • 5-year weighted average DVC and monitor (1  1) cell RRF • For each site in the state with at least one day above 70 ppb in 2018 • RRF = (2018 sens /2018 base ) • D DVF = (DVF*RRF) – DVF = DVF*(RRF  1) 30

  31. (Absolute Sensitivity) 31

  32. (Relative Sensitivity with MATS) 32

  33. (Absolute Sensitivity) 33

  34. (Relative Sensitivity with MATS) 34

  35. (Absolute Sensitivity) 35

  36. (Relative Sensitivity with MATS) 36

  37. (Absolute Sensitivity) 37

  38. (Relative Sensitivity with MATS) 38

  39. (Absolute Sensitivity) 39

  40. (Relative Sensitivity with MATS) 40

  41. (Absolute Sensitivity) 41

  42. (Relative Sensitivity with MATS) 42

  43. (Absolute Sensitivity) 43

  44. (Relative Sensitivity with MATS) 44

  45. (Absolute Sensitivity) 45

  46. (Relative Sensitivity with MATS) 46

  47. (Absolute Sensitivity) 47

  48. (Relative Sensitivity with MATS) 48

  49. (Absolute Sensitivity) 49

  50. (Relative Sensitivity with MATS) 50

  51. (Absolute Sensitivity) 51

  52. (Relative Sensitivity with MATS) 52

  53. (Absolute Sensitivity) 53

  54. (Relative Sensitivity with MATS) 54

  55. (Absolute Sensitivity) 55

  56. (Relative Sensitivity with MATS) 56

  57. (Absolute Sensitivity) 57

  58. (Relative Sensitivity with MATS) 58

  59. (Absolute Sensitivity) 59

  60. (Relative Sensitivity with MATS) 60

  61. (Absolute Sensitivity) 61

  62. (Relative Sensitivity with MATS) 62

  63. (Absolute Sensitivity) 63

  64. (Relative Sensitivity with MATS) 64

  65. (Absolute Sensitivity) 65

  66. (Relative Sensitivity with MATS) 66

  67. (Absolute Sensitivity) 67

  68. (Relative Sensitivity with MATS) 68

  69. (Absolute Sensitivity) 69

  70. (Relative Sensitivity with MATS) 70

  71. (Absolute Sensitivity) 71

  72. (Relative Sensitivity with MATS) 72

  73. (Absolute Sensitivity) 73

  74. (Relative Sensitivity with MATS) 74

  75. Summary • In general, anthropogenic NO x emission reductions are much more effective at reducing 8-hour ozone concentrations compared to anthropogenic VOC emission reductions. • The home state typically has the largest impact on its own monitors. Neighboring states have the next largest impact. • Absolute sensitivities ( D O 3 ) and relative sensitivities ( D DVF) are very similar. 75

  76. Next Steps • Run MATS to generate 2018 projections for PM 2.5 – RRF approach based on EPA guidance – Average 3  3 array and monitor (1  1) cell – 2007 DV and 5-year weighted 2005-2009 DV • Run MATS to generate 2018 projections for Regional Haze – RRF approach based on EPA guidance – Average 3  3 array and monitor (1  1) cell – 5-year (2005-2009) straight average 20% Worst and 20% Best days 76

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