[Emission Inventory of Industrial Sources in Beijing-Tianjin-Hebei and Surrounding Areas Based on Multi-source Environmental Management Data Fusion].

Q2 Environmental Science

环境科学 Pub Date : 2025-07-08 DOI:10.13227/j.hjkx.202406067

Jing-Chao Ma, Jing-Nan Hu, Jin-Hong Du, Jing-Hua Ma, Hao Zhang, Yi Tang, Li Yang, Peng Xu, Xiao Liu

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Abstract

The current data sources used for establishing emission inventories are relatively homogenous and do not meet the requirement of real-time and accurate environmental management. Multi-source environmental management data could reflect enterprises' detailed information and provide support for emission inventories. To assess the current situation of air pollutants and CO₂ emissions from industrial sources in Beijing-Tianjin-Hebei and its surrounding areas in 2020， this study integrates emergency emission reduction lists with pollution discharge permit data and establishes a high spatio-temporal resolution industrial emission inventory using a combination of "bottom-up" and "top-down" approach. The results showed that the SO₂，NO_x，VOCs，PM₁₀，PM_2.5， and CO₂ emissions from industrial sources in Beijing-Tianjin-Hebei and its surrounding areas in 2020 were 48.72×10⁴， 60.33×10⁴， 108.95×10⁴， 58.82×10⁴， 38.75×10⁴， and 140 873.59×10⁴ t， respectively. Industrial boilers and iron and steel and cement industries accounted for the largest proportion in addition to VOCs， with a total proportion between 51% and 82%. The refining and petrochemical industry accounted for the largest proportion of VOCs （54.1%）. To investigate the impact of the COVID-19 lockdown on industrial source emissions， we quantified the changes in daily emissions of each pollutant and CO₂ during the Spring Festival of 2020. The emissions of air pollutants and CO₂ decreased by 7%-16% and recovered to the pre-holiday level after the holiday， indicating that the industrial emissions sources were less affected by the COVID-19 lockdown. This was mainly because most industrial sources belonged to non-interruptible industries. The study results help to grasp the current situation of industrial source emissions in Beijing-Tianjin-Hebei and the surrounding areas and provide scientific support for the near real-time and refined management of air pollution.

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基于多源环境管理数据融合的京津冀及周边地区工业污染源排放清查[j]。

目前用于建立排放清单的数据来源比较单一，不符合实时、准确的环境管理要求。多源环境管理数据可以反映企业的详细信息，为排放清单编制提供支持。为评估2020年京津冀及周边地区大气污染物和工业源CO2排放现状，本研究采用“自下而上”与“自上而下”相结合的方法，将应急减排清单与排污许可数据相结合，建立了高时空分辨率的工业排放清单。结果表明：2020年京津冀及周边地区工业污染源SO2、NOx、VOCs、PM10、PM2.5和CO2排放量分别为48.72×104、60.33×104、108.95×104、58.82×104、38.75×104和140 873.59×104 t。除VOCs外，工业锅炉和钢铁水泥行业占比最大，总占比在51% ~ 82%之间。炼油和石化行业占VOCs的比重最大（54.1%）。为了研究新冠肺炎疫情封锁对工业源排放的影响，我们量化了2020年春节期间每种污染物和二氧化碳的日排放量变化。假期结束后，大气污染物和二氧化碳排放量下降7%-16%，恢复到节前水平，说明工业排放源受疫情封锁影响较小。这主要是因为大多数工业资源属于不可中断工业。研究结果有助于掌握京津冀及周边地区工业源排放现状，为大气污染的近实时精细化管理提供科学支撑。

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