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• W4362600404 abstract "<strong class=journal-contentHeaderColor>Abstract.</strong> This work presents a new model free inversion estimation framework using daily TROPOMI NO₂ columns and observed fluxes from the continuous emissions monitoring systems (CEMS) to quantify three years of daily-scale emissions of NO_x at 0.05°×0.05° over Shanxi Province, a major world-wide energy producing and consuming region. The NO_x emissions, day-to-day variability, and uncertainty on a climatological basis are computed to be 1.83, 1.01, and 1.06 Tg per year respectively. The highest emissions are concentrated in the lower Fen River valley, which accounts for 25 % of the area, 52 % of the NO_x emissions, and 72 % of CEMS sources. Two major forcing factors (10^th to 90^th percentile) are horizontal transport distance per day (66–666 km) and lifetime of NO_x (6.7–18.4 h). Both of these values are consistent with NO_x emissions to both the surface layer and the free troposphere. The third forcing factor, the ratio of NO_x/ NO₂, on a pixel-by-pixel basis is demonstrated to have a significant correlation with the combustion temperature and energy efficiency of large energy consuming sources. Specifically, thermal power plants, cement, and iron and steel companies have a relatively high NO_x/ NO₂ ratio, while coking, industrial boilers, and aluminium oxide show relatively low ratio. Variance maximization is applied to daily TROPOMI NO₂ columns identifies three significant modes, and successfully attributes them both spatially and temporally to (a) this work’s computed emissions, (b) remotely sensed TROPOMI UVAI, and (c) computed transport based on TROPOMI NO₂." @default.
• W4362600404 created "2023-04-06" @default.
• W4362600404 creator A5043811836 @default.
• W4362600404 date "2023-04-04" @default.
• W4362600404 modified "2023-09-26" @default.
• W4362600404 title "Reply on RC1" @default.
• W4362600404 doi "https://doi.org/10.5194/egusphere-2023-2-ac1" @default.
• W4362600404 hasPublicationYear "2023" @default.
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