College of Urban and Environmental Sciences, Laboratory for Earth Surface Processes, Peking University, Beijing 100871, China.
College of Urban and Environmental Sciences, Laboratory for Earth Surface Processes, Peking University, Beijing 100871, China.
Sci Total Environ. 2020 Jun 20;722:137755. doi: 10.1016/j.scitotenv.2020.137755. Epub 2020 Mar 5.
PKU-FUEL is a recently developed gridded global emission inventory for multiple air pollutants that uses a bottom-up approach. The inventory includes data collected monthly for the period of 1960 to 2014 and at a 0.1° × 0.1° latitude/longitude resolution. In an effort to evaluate and improve this emission inventory, the PKU-FUEL Sulfur Dioxide (SO) emission inventory was compared to other currently available and widely used global SO emission inventories constructed based on bottom-up and top-down approaches, including CEDS and OMI-HTAP. While PKU-FUEL is capable of capturing SO emissions across the globe and particularly in Asia, it misses 41 industrial point sources globally, accounting for 9.3% of Ozone Monitoring Instrument (OMI) remote sensing-measured industrial point sources. Most of these missing point sources are identified in Latin America, the Middle East (~60%), and some remote places. To improve the PKU-FUEL SO inventory, we applied OMI-measured emissions to sources missing from PKU-FUEL. GEOS-Chem model simulations were performed to evaluate original and improved PKU-FUEL SO inventories against measured SO concentrations across the world. Results were further compared to GEOS-Chem modeled SO concentrations using the CEDS inventory. We show that the modeled SO concentrations determined using both CEDS and improved PKU-FUEL inventories to a large extent corroborate sampled data and that the improved PKU-FUEL performs better for those regions lacking monitoring data.
PKU-FUEL 是一个最近开发的网格化全球多空气污染物排放清单，采用自下而上的方法。该清单包含了 1960 年至 2014 年期间每月收集的数据，分辨率为 0.1°×0.1°纬度/经度。为了评估和改进这一排放清单，PKU-FUEL 二氧化硫（SO）排放清单与其他目前可用的和广泛使用的基于自下而上和自上而下方法的全球 SO 排放清单进行了比较，包括 CEDS 和 OMI-HTAP。虽然 PKU-FUEL 能够捕捉到全球范围内的 SO 排放，特别是在亚洲地区，但它在全球范围内错过了 41 个工业点源，占臭氧监测仪（OMI）遥感测量的工业点源的 9.3%。这些缺失的点源大部分位于拉丁美洲、中东（~60%）和一些偏远地区。为了改进 PKU-FUEL 的 SO 清单，我们将 OMI 测量的排放量应用于 PKU-FUEL 中缺失的源。进行了 GEOS-Chem 模型模拟，以评估原始和改进的 PKU-FUEL SO 清单与全球范围内测量的 SO 浓度的吻合程度。结果还与使用 CEDS 清单的 GEOS-Chem 模拟的 SO 浓度进行了比较。结果表明，使用 CEDS 和改进的 PKU-FUEL 清单确定的模拟 SO 浓度在很大程度上证实了采样数据，并且改进的 PKU-FUEL 在缺乏监测数据的地区表现更好。
