High-resolution (0.05° × 0.05°) NOx emissions in the Yangtze River Delta inferred from OMI
| Autor: | Jintai Lin, Mengyao Liu, Hongjian Weng, Jingxu Wang, Hao Kong, Ruixiong Zhang, Lulu Chen, Qiang Zhang, Yingying Yan, Ruijing Ni |
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| Rok vydání: | 2019 |
| Předmět: |
Delta
Ozone Monitoring Instrument Pollution Atmospheric Science 010504 meteorology & atmospheric sciences media_common.quotation_subject Inverse transform sampling Inversion (meteorology) 010502 geochemistry & geophysics Atmospheric sciences 01 natural sciences chemistry.chemical_compound chemistry Environmental science Nitrogen dioxide Air quality index NOx 0105 earth and related environmental sciences media_common |
| Zdroj: | Atmospheric Chemistry and Physics. 19:12835-12856 |
| ISSN: | 1680-7324 |
| Popis: | Emission datasets of nitrogen oxides ( NOx ) at high horizontal resolutions (e.g., 0.05 ∘ × 0.05 ∘ ) are crucial for understanding human influences at fine scales, air quality studies, and pollution control. Yet high-resolution emission data are often missing or contain large uncertainties especially for the developing regions. Taking advantage of long-term satellite measurements of nitrogen dioxide ( NO2 ), here we develop a computationally efficient method of estimating NOx emissions in major urban areas at the 0.05 ∘ × 0.05 ∘ resolution. The top-down inversion method accounts for the nonlinear effects of horizontal transport, chemical loss, and deposition. We construct a two-dimensional Peking University High-resolution Lifetime-Emission-Transport model (PHLET), its adjoint model (PHLET-A), and a satellite conversion matrix approach to relate emissions, lifetimes, simulated NO2 , and satellite NO2 data. The inversion method is applied to the summer months of 2012–2015 in the Yangtze River Delta (YRD; 29–34 ∘ N, 118–123 ∘ E) area, a major polluted region of China, using the NO2 vertical column density data from the Peking University Ozone Monitoring Instrument NO2 product (POMINO). A systematic analysis of inversion errors is performed, including using an independent test based on GEOS-Chem simulations. Across the YRD area, the summer average emissions obtained in this work range from 0 to 15.3 kg km −2 h −1 , and the lifetimes (due to chemical loss and deposition) range from 0.6 to 3.3 h. Our emission dataset reveals fine-scale spatial information related to nighttime light, population density, road network, maritime shipping, and land use (from a Google Earth photo). We further compare our emissions with multiple inventories. Many of the fine-scale emission structures are not well represented or not included in the widely used Multi-scale Emissions Inventory of China (MEIC). |
| Databáze: | OpenAIRE |
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