| 基于多源环境管理数据融合的京津冀及周边地区工业源排放清单 |
| 摘要点击 228 全文点击 18 投稿时间：2024-06-06 修订日期：2024-08-14 |
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| 中文关键词 京津冀及周边地区 工业源 高时空分辨率 大气污染物 排放清单 |
| 英文关键词 Beijing-Tianjin-Hebei and its surrounding areas industrial sources high spatio-temporal resolution air pollutants emission inventory |
| DOI 10.13227/j.hjkx.20250701 |
| 作者 | 单位 | E-mail | | 马敬超 | 中国环境科学研究院, 北京 100012 | 18860957718@163.com | | 胡京南 | 中国环境科学研究院, 北京 100012 | hujn@craes.org.cn | | 杜谨宏 | 中国环境科学研究院, 北京 100012 | | | 马京华 | 中国环境科学研究院, 北京 100012 | | | 张皓 | 中国环境科学研究院, 北京 100012 | | | 汤翊 | 中国环境科学研究院, 北京 100012 | | | 杨丽 | 中国环境科学研究院, 北京 100012 | | | 续鹏 | 中国环境科学研究院, 北京 100012 | | | 刘晓 | 北京师范大学环境学院, 环境模拟与污染控制国家重点联合实验室, 北京 100875 | |
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| 中文摘要 |
| 目前排放清单建立所使用的数据来源较为单一，无法满足实时、准确环境管理的需求. 多源环境管理数据能够充分反映大气污染治理过程中企业的基本信息，为排放清单提供高质量数据支持. 融合应急减排清单、排污许可和污染源在线监测（CEMS）数据，将“自下而上”与“自上而下”的清单核算方法相结合，建立了2020年京津冀及周边地区工业源的高时空分辨率的大气污染物和CO2融合排放清单. 结果表明，2020年京津冀及周边地区工业源二氧化硫（SO2）、氮氧化物（NOx）、挥发性有机物（VOCs）、粗颗粒物（PM10）、细颗粒物（PM2.5）和二氧化碳（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. 其中，工业锅炉、钢铁和水泥行业除VOCs外占比最大，合计占比在51%~82%之间. 炼油石化行业在VOCs中占比最大，达到54.1%. 为了进一步探究新冠疫情对工业源排放的影响，使用CEMS数据量化了2020年春节期间各污染物和CO2的排放日变化. 其中各污染物和CO2排放量下降了7%~16%左右，在节后基本恢复到节前水平，这说明新冠疫情对工业源整体排放影响较小，主要由于不可中断行业在工业源中占比大，受疫情的影响较小. 研究结果有助于更精确掌握京津冀及周边地区的工业源排放现状，为大气污染的近实时、精细化防控治理提供数据基础及科学支撑. |
| 英文摘要 |
| 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，NOx，VOCs，PM10，PM2.5， 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. |
