Development of a high-resolution integrated emission inventory of air pollutants for China DOI Creative Commons
Nana Wu, Guannan Geng,

Ruochong Xu

et al.

Earth system science data, Journal Year: 2024, Volume and Issue: 16(6), P. 2893 - 2915

Published: June 21, 2024

Abstract. Constructing a highly resolved comprehensive emission dataset for China is challenging due to limited availability of refined information parameters in unified bottom-up framework. Here, by developing an integrated modeling framework, we harmonized multi-source heterogeneous data, including several up-to-date inventories at national and regional scales key species sources generate 0.1° resolution inventory 2017. By source mapping, temporal disaggregation, spatial allocation, spatial–temporal coupling, different are normalized terms categories, chemical species, spatiotemporal resolutions. This achieves the coupling multi-scale, high-resolution with Multi-resolution Emission Inventory (MEIC), forming INTegrated Air pollutants (INTAC). We find that INTAC provides more accurate representations magnitudes patterns. In 2017, China's emissions sulfur dioxide (SO2), nitrous oxides (NOx), carbon monoxide (CO), non-methane volatile organic compounds (NMVOCs), ammonia (NH3), PM10 PM2.5 (particulate matter), black (BC), (OC) were 12.3, 24.5, 141.0, 27.9, 9.2, 11.1, 8.4, 1.3, 2.2 Tg, respectively. The proportion point SO2, PM10, NOx, increases from 7 %–19 % MEIC 48 %–66 INTAC, resulting improved accuracy, especially mitigating overestimations densely populated areas. Compared MEIC, reduces mean biases simulated concentrations major air 2–14 µg m−3 across 74 cities, compared against ground observations. enhanced model performance particularly evident finer-grid Our new accessible http://meicmodel.org.cn/intac (last access: 15 April 2024) https://doi.org/10.5281/zenodo.10459198 (Wu et al., 2024), it will provide solid data foundation fine-scale atmospheric research air-quality improvement.

Language: Английский

Development of a high-resolution integrated emission inventory of air pollutants for China DOI Creative Commons
Nana Wu, Guannan Geng,

Ruochong Xu

et al.

Earth system science data, Journal Year: 2024, Volume and Issue: 16(6), P. 2893 - 2915

Published: June 21, 2024

Abstract. Constructing a highly resolved comprehensive emission dataset for China is challenging due to limited availability of refined information parameters in unified bottom-up framework. Here, by developing an integrated modeling framework, we harmonized multi-source heterogeneous data, including several up-to-date inventories at national and regional scales key species sources generate 0.1° resolution inventory 2017. By source mapping, temporal disaggregation, spatial allocation, spatial–temporal coupling, different are normalized terms categories, chemical species, spatiotemporal resolutions. This achieves the coupling multi-scale, high-resolution with Multi-resolution Emission Inventory (MEIC), forming INTegrated Air pollutants (INTAC). We find that INTAC provides more accurate representations magnitudes patterns. In 2017, China's emissions sulfur dioxide (SO2), nitrous oxides (NOx), carbon monoxide (CO), non-methane volatile organic compounds (NMVOCs), ammonia (NH3), PM10 PM2.5 (particulate matter), black (BC), (OC) were 12.3, 24.5, 141.0, 27.9, 9.2, 11.1, 8.4, 1.3, 2.2 Tg, respectively. The proportion point SO2, PM10, NOx, increases from 7 %–19 % MEIC 48 %–66 INTAC, resulting improved accuracy, especially mitigating overestimations densely populated areas. Compared MEIC, reduces mean biases simulated concentrations major air 2–14 µg m−3 across 74 cities, compared against ground observations. enhanced model performance particularly evident finer-grid Our new accessible http://meicmodel.org.cn/intac (last access: 15 April 2024) https://doi.org/10.5281/zenodo.10459198 (Wu et al., 2024), it will provide solid data foundation fine-scale atmospheric research air-quality improvement.

Language: Английский

Citations

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