Zhang Ying-jie, Kong Shao-fei, Tang Li-li, Zhao Tian-liang, Han Yong-xiang, Yu Hong-xia
Huan Jing Ke Xue. 2015 Aug;36(8):2775-83.
Emission inventory of air pollutants is the key to understand the spatial and temporal distribution of atmospheric pollutants and to accurately simulate the ambient air quality. The currently established emission inventories are still limited on spatial and temporal resolution which greatly influences the numerical prediction accuracy of air quality. With coal-fired stationary sources considered, this study analyzed the total emissions and monthly variation of main pollutants from them in 2012 as the basic year, by collecting the on-line monitoring data for power plants and atmospheric verifiable accounting tables of Jiangsu Province. Emission factors in documents are summarized and adopted. Results indicated that the emission amounts of SO2, NOx, TSP, PM10, PM2.5, CO, EC, OC, NMVOC and NH3 were 106.0, 278.3, 40.9, 32.7, 21.7, 582.0, 3.6, 2.5, 17.3 and 2.2 kt, respectively. They presented monthly variation with high emission amounts in February, March, July, August and December and low emissions in September and October. The reason may be that more coal are consumed which leads to the increase of pollutants emitted, to satisfy the needs, of heat and electricity power supply in cold and hot periods. Local emission factors are needed for emission inventory studies and the monthly variation should be considered when emission inventories are used in air quality simulation.
空气污染物排放清单是了解大气污染物时空分布以及准确模拟环境空气质量的关键。目前已建立的排放清单在时空分辨率方面仍存在局限,这极大地影响了空气质量的数值预测准确性。本研究以2012年为基准年,考虑燃煤固定源,通过收集江苏省电厂的在线监测数据和大气可核查核算表,分析了燃煤固定源主要污染物的排放总量及月变化情况。总结并采用了文献中的排放因子。结果表明,二氧化硫、氮氧化物、总悬浮颗粒物、可吸入颗粒物(PM10)、细颗粒物(PM2.5)、一氧化碳、元素碳、有机碳、非甲烷挥发性有机物和氨的排放量分别为106.0、278.3、40.9、32.7、21.7、582.0、3.6、2.5、17.3和2.2千吨。它们呈现出月变化,2月、3月、7月、8月和12月排放量较高,9月和10月排放量较低。原因可能是在寒冷和炎热时期,为满足供热和供电需求,煤炭消耗量增加,导致污染物排放量上升。排放清单研究需要本地排放因子,在空气质量模拟中使用排放清单时应考虑月变化情况。