State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Division of Remote Sensing Data Application, National Satellite Meteorological Centre, Beijing 100081, China.
Sci Total Environ. 2017 Feb 15;580:641-650. doi: 10.1016/j.scitotenv.2016.12.143. Epub 2016 Dec 29.
In order to improve the regional air quality, many control strategies have been developed by Chinese government for reducing air pollutant emission from power plants, industrial and transport sources during the past decade. However, little attention has been paid to residential combustion sources. To fill the knowledge gap, a series of surveys were carried out to investigate the residential energy use in Beijing-Tianjin-Hebei (BTH) region during the period of 2013-2014. Study shows that the actual average amount of residential coal consumption is over 0.7tyr per capita in 2013, which is much higher than that of 0.15tyr per capita reported in the 2014 China Energy Statistical Yearbook (CESY). Combining the investigated activities data with the best available emission factors (EFs), bottom-up method was used to evaluate the potential air pollutant emissions from residential coal combustion in BTH region in 2013. The results indicate that Baoding is the top contributor to the whole BTH region and accounts for approximately 15% of the regional residential emissions in 2013. The spatial pattern of air pollutants shows that high emissions locate in the southeast, along the Yanshan and Taihang Mountains, where much more rural people live and coal combustion is prevalent in winter. The future emission scenario at the end of the 13th Five Year Plan (in 2020) was also predicted based on the policy guidance for the residential coal consumptions in the BTH region. The scenario analysis indicates that air pollutant emissions will drop substantially around 90% because more strict rules will be made for reducing the residential coal consumption. With combined survey information and statistical data, the uncertainty of the emission inventory which was established in this study for the residential sector in the BTH region is reduced and the emission inventory is more reliable for air quality decision making.
为了改善区域空气质量,中国政府在过去十年中制定了许多控制策略,以减少电厂、工业和交通源的空气污染物排放。然而,对于住宅燃烧源的关注较少。为了填补这一知识空白,我们在 2013-2014 年期间对京津冀地区的住宅能源使用情况进行了一系列调查。研究表明,2013 年实际的人均住宅煤炭消费量超过 0.7 吨/年,远高于 2014 年《中国能源统计年鉴》(CESY)报告的 0.15 吨/年。我们将调查活动数据与最佳可用排放因子(EFs)相结合,采用自下而上的方法评估了 2013 年京津冀地区住宅煤炭燃烧的潜在空气污染物排放量。结果表明,保定是整个京津冀地区的最大贡献者,约占 2013 年该地区住宅排放的 15%。空气污染物的空间格局表明,高排放区位于东南部,沿燕山和太行山分布,那里有更多的农村居民,冬季煤炭燃烧普遍。还根据京津冀地区住宅煤炭消费的政策指导,预测了“十三五”末(2020 年)的未来排放情景。情景分析表明,由于将制定更严格的减少住宅煤炭消费的规定,空气污染物排放量将大幅下降 90%左右。本研究建立的京津冀地区住宅部门排放清单的不确定性通过结合调查信息和统计数据得到了降低,排放清单对空气质量决策更加可靠。