作者: Chinmay Jena , Sachin D. Ghude , G. Beig , D.M. Chate , Rajesh Kumar
DOI: 10.1016/J.ATMOSENV.2015.06.057
关键词: Troposphere 、 Air quality index 、 Emission inventory 、 Daytime 、 Atmospheric sciences 、 Chemical transport model 、 NOx 、 Environmental science 、 Surface ozone 、 Ozone 、 Climatology
摘要: In this work, we compare for the first time different anthropogenic NOX emission inventories and examine associate variation in simulated surface ozone (O3) India. Six namely Emission Database Global Atmospheric Research (EDGAR), Intercontinental Chemical Transport Experiment-Phase B (INTEX-B), Regional Inventory Asia (REAS), MACCity, Indian National (India_NOx), Top-Down inventory India (Top-Down) are included comparison. We include these regional chemical transport model WRF-Chem to simulate tropospheric column NO2 O3 mixing ratios the month of summer (15-March 15-April) winter (December) 2005. Predicted using evaluated with OMI satellite observations. All emission show similar spatial features, however uncertainty emissions distribution is about 20–50% over rural regions 60–160% major point sources. Compared to OMI, largest bias columns seen REAS (−243.0 ± 338.8 × 1013 molecules cm−2) inventory, followed by EDGAR (−199.1 ± 272.2 × 1013 molecules cm−2), MACCity (−150.5 ± 236.3 × 1013 molecules cm−2), INTEX-B (−96.8 ± 199.5 × 1013 molecules cm−2), India_NOx (−87.7 ± 159.9 × 1013 molecules cm−2) (−30.8 ± 69.6 × 1013 molecules cm−2) during winter. Simulations produces maximum deviation daytime 8-h averaged order 9–17 ppb (15–40%) 3–12 ppb (5–25%) most land area. The simulation suggests that choice have significant effect on concentration air quality studies