Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China; Department of Environmental Science and Engineering, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China.
Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China; Department of Environmental Science and Engineering, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China.
Sci Total Environ. 2022 Mar 25;814:151950. doi: 10.1016/j.scitotenv.2021.151950. Epub 2021 Nov 25.
Residential coal combustion (RCC) emission demonstrates obvious daily variation, while no real-time estimation of air pollutants from RCC has been reported, as the limitation of hourly activity data and emission factors. With a dilution sampling system, a high-precision electronic balance, and an Aethalometer Model AE33, a real-time monitoring platform for RCC emission was established. Hourly emission factors (EFs) of BC and absorption emission factors (AEFs) of BrC from eleven kinds of chunk coals and nine kinds of honeycomb coals burning in China were obtained. The monthly and hourly coal consumption amounts were calculated with the activity data from literature reviews and a field survey. The first hourly BC and absorption cross section of BrC emission inventories from RCC were established in China. The historical emission trends (2003-2017) indicated that the policy has rapidly controlled the emission of BC and ACS from RCC in urban area (26.7% and 31.8% decreased, respectively in 2013). While in rural areas, their emission continually increased by 1.2% ~ 5.3% until more strict law enacted in 2017. Emissions of BC and ACS in winter seasons were 60.1 Gg and 1064.1 Gm, which accounted for 54.3% and 55.1% of the total BC and ACS emissions correspondingly. The peak values of hourly emission of BC and ACS (in 370 nm) normally appeared at 19:00-23:00, accounting for 43.0% and 41.5% of their total daily emission. The low emission periods were at cooking times including 7:00, 12:00, and 17:00 of a day and the whole emission of BC and ACS for the three periods accounted for 1.8% and 2.3% of their daily emission. This high-resolution BC and ACS emission inventories can be useful for future modeling works on the formation and evolution of a haze event, the smoke aging and transportation, as well as corresponding climate and human health effects.
居民燃煤(RCC)排放具有明显的日变化特征,但由于缺乏小时活动数据和排放因子,目前尚未报道对 RCC 空气污染物进行实时估算。本研究采用稀释采样系统、高精度电子天平以及 Aethalometer Model AE33,建立了 RCC 排放实时监测平台。获得了中国 11 种块煤和 9 种蜂窝煤燃烧的 BC 小时排放因子(EFs)和 BrC 吸收 EFs。利用文献综述和现场调查的活动数据计算了每月和每小时的煤炭消耗量。首次在中国建立了 RCC 排放的首个小时 BC 和 BrC 吸收截面排放清单。历史排放趋势(2003-2017 年)表明,该政策迅速控制了城市地区 RCC 中 BC 和 ACS 的排放(2013 年分别减少了 26.7%和 31.8%)。然而,在农村地区,直到 2017 年颁布了更严格的法律,其排放量才持续增加了 1.2%至 5.3%。冬季季节的 BC 和 ACS 排放量分别为 60.1 Gg 和 1064.1 Gm,分别占总 BC 和 ACS 排放量的 54.3%和 55.1%。BC 和 ACS 的小时排放峰值(在 370nm 处)通常出现在 19:00-23:00,占其日总排放量的 43.0%和 41.5%。排放较低的时期是在一日三餐的做饭时间,包括早上 7:00、中午 12:00 和下午 5:00,这三个时期的 BC 和 ACS 总排放量占其日排放量的 1.8%和 2.3%。这些高分辨率的 BC 和 ACS 排放清单可用于未来对雾霾事件形成和演化、烟雾老化和传输以及相应的气候和人类健康影响的建模工作。