Frontiers Science Center for Deep Ocean Multispheres and Earth System, Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China.
Department of Environmental Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China; BUCT Institute for Carbon-Neutrality of Chinese Industries, Beijing 100029, China.
Sci Total Environ. 2022 Nov 15;847:157623. doi: 10.1016/j.scitotenv.2022.157623. Epub 2022 Jul 25.
Under the target of carbon neutrality as well as stringent air quality guideline, understanding the spatial characteristics of both greenhouse gases and air pollutants emissions, in particular of their mutual sources, is crucial for assessing the feasibility of achieving their concomitant emission control, which, nevertheless, remains to be unclear yet. To this end, we construct a high-resolution (10 km × 10 km) emission inventory including both CO and air pollutants in China, which fosters us an opportunity to examine their spatial and sectoral characteristics. The primary sources for both CO and air pollutant emissions are power and industry. Among different subsectors in industry, detailed information indicates cement, iron and steel are the major subsectors for both CO and majority of air pollutants. Analysis of the high-resolution spatial distribution indicates that for CO, 5 % of the grids account for 90 % of the total CO emissions, indicative of the existence of spatial heterogeneity. These grids are the major locations with air pollutant emissions as well, i.e., 73 % for SO emissions, and more than 50 % for volatile organic compounds (VOCs), CO, NOx, PM and PM, stressing the spatial consistency between greenhouse gases and air pollutant emissions. A large portion of emissions concentrate in a relatively small number of grids further implies the possibility to achieve the mutual control of both greenhouse gas emissions and air pollutant emissions, which is useful for future policy in particular of achieving the carbon neutrality and air quality improvement.
在中国，我们构建了一个高分辨率（10km×10km）的排放清单，其中包括 CO 和空气污染物，这使我们有机会检查它们的空间和部门特征。CO 和空气污染物排放的主要来源是电力和工业。在工业的不同子部门中，详细信息表明水泥、钢铁是 CO 和大多数空气污染物的主要子部门。高分辨率空间分布的分析表明，对于 CO，5%的网格占总 CO 排放的 90%，表明存在空间异质性。这些网格也是空气污染物排放的主要地点，即 73%的 SO 排放和超过 50%的挥发性有机化合物（VOCs）、CO、NOx、PM 和 PM，强调了温室气体和空气污染物排放之间的空间一致性。大量排放集中在相对较少的网格中，这进一步表明有可能实现温室气体排放和空气污染物排放的相互控制，这对未来的政策，特别是实现碳中和和改善空气质量的政策非常有用。
