Highly-resolved spatial-temporal variations of air pollutants from Chinese industrial boilers*

被引:14
|
作者
Tong, Yali [1 ,2 ,5 ]
Gao, Jiajia [1 ]
Wang, Kun [1 ,2 ]
Jing, Hong [3 ]
Wang, Chenlong [1 ]
Zhang, Xiaoxi [1 ]
Liu, Jieyu [1 ]
Yue, Tao [4 ]
Wang, Xin [3 ]
Xing, Yi [4 ]
机构
[1] Beijing Municipal Inst Labour Protect, Dept Air Pollut Control, Beijing 100054, Peoples R China
[2] Ocean Univ China, Coll Environm Sci & Engn, Key Lab Marine Environm Sci & Ecol, Minist Educ, Qingdao 266100, Peoples R China
[3] China Natl Environm Monitoring Ctr, Beijing 100012, Peoples R China
[4] Univ Sci & Technol Beijing, Sch Energy & Environm Engn, 30 Xueyuan Rd, Beijing 100083, Peoples R China
[5] Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
基金
中国国家自然科学基金;
关键词
Industrial boilers; Air pollutants; County-based emission inventory; Monthly fraction coefficients; Scenario projection; EMISSION INVENTORY; BIOMASS; TRENDS; RESOLUTION; COMBUSTION; FUEL;
D O I
10.1016/j.envpol.2021.117931
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Industrial boilers are a significant anthropogenic source of air pollutant emissions. In this study, a county-based atmospheric emission inventory of particulate matter (PM), PM10, PM2.5, SO2, NOx, organic carbon (OC) and elemental carbon (EC) from industrial boilers over mainland China in 2017 was developed for the first time, based on county-level activity data from -61,000 coal-fired industrial boilers (CFIBs), -44,000 biomass-fired industrial boilers (BFIBs), -71,000 gas-fired industrial boilers (GFIBs) and -9300 oil-fired industrial boilers (OFIBs), updated emission factors (EFs) and air pollution control device (APCD) efficiencies. The total national PM, PM2.5, PM10, SO2, NOx, OC and EC emissions from industrial boilers in 2017 were estimated to be 1,240, 347, 761, 1,648, 1,340, 13.1 and 15.8 kilotons (kt), respectively. Intensive air pollutant emissions from industrial boilers of more than 1000 kg/km2 were predominantly in north-eastern, northern and eastern China. CFIBs contributed the most (77.6-94.0 %) to air pollutant emissions because of their high air pollutant EFs and the large amounts of coal consumed. BFIBs were the second-highest contributor to national air pollutant emissions, with the contribution of BFIBs to PM2.5, OC and EC emissions in central and southern China reaching up to 42.1 %, 61.7 % and 45.5 %, respectively. There were seasonal peaks in monthly air pollutant emissions in heating regions. The overall uncertainty realting to the new emission inventory was estimated as -25.9 %-22.7 %. Significant air pollutant emission reductions were obtained from 2017 to 2030, and by 2030 the PM, PM10, PM2.5, SO2 and NOx emissions were forecast to decrease by 40.1-84.0 %, 41.6-84.3 %, 44.5-75.2 %, 44.5-75.2 % and 19.5-46.8 % compared to 2017, respectively, under four proposed scenarios. The results of this study showed that differentiated industrial boiler management measures should be developed according to the actual emission characteristics. This work developed a county-based atmospheric emission inventory of PM, PM10, PM2.5, SO2, NOx, OC and EC from Chinese industrial boilers in 2017 for the first time.
引用
收藏
页数:10
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