摘要
新型遥感观测技术通过结合超光谱紫外和红外遥感,可获取二氧化氮(NO_(2))、二氧化硫(SO_(2))的成像结果及这两种气体与二氧化碳(CO_(2))的转换系数,最终得到燃煤电厂的NO_(2)、SO_(2)和CO_(2)排放清单.由于高光谱成像技术的非接触性和便携性,该技术可用于获取电厂长期的真实动态排放清单,同时也能够扩展到冶炼等类似企业,这将有助于更好地评估工厂"减污降碳"政策的具体落实情况,便于针对性执法和立法.对位于合肥的一座燃煤电厂的观测结果显示,观测期间电厂排放的NO_(2)、SO_(2)和CO_(2)浓度最高分别达到0.55、3.67和36498.16mg/m,最高通量分别为10.41、85.31和915408.18kg/h.值得注意的是,观测结果显示SO_(2)作为一种一次污染物,更适合用于标定和转换CO_(2)结果。
Since the industrial revolution until 2018,the extensive combustion of fossil fuels had increased carbon dioxide(CO_(2))concentration in the atmosphere by 147%,reaching(407.8±0.1)ppm(1 ppm=1106 L/L)[1].The resulting greenhouse effect had triggered an increasing number of extreme climate disasters such as heat and cold waves[2–4].The combustion of fossil fuels,particularly coal,typically produced high levels of polluting gases,such as nitric oxide(NO),nitrogen dioxide(NO_(2)),and sulfur dioxide(SO_(2))[5],leading to an increase in the incidence and mortality rates of cardiopulmonary diseases,as well as a decline in urban visibility[6,7].The emission inventories of coal-fired power plants,which were the primary source of these gases in cities,may vary depending on the power generation processes utilized[8].Therefore,better observation of plant emissions was required.
作者
林继楠
邢成志
刘诚
谈伟
王薇
吴鹏
陆川
李启华
柳婷
Jinan Lin;Chengzhi Xing;Cheng Liu;Wei Tan;Wei Wang;Peng Wu;Chuan Lu;Qihua Li;Ting Liu(Anhui Institute of Optics and Fine Mechanics,Hefei Institutes of Physical Science,Chinese Academy of Sciences,Hefei 230031,China;Department of Precision Machinery and Precision Instrumentation,University of Science and Technology of China,Hefei 230026,China;Centre for Excellence in Regional Atmospheric Environment,Institute of Urban Environment,Chinese Academy of Sciences,Xiamen 361021,China;Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes,University of Science and Technology of China,Hefei 230026,China;Institute of Physical Science and Information Technology,Anhui University,Hefei 230601,China;School of Earth and Space Sciences,University of Science and Technology of China,Hefei 230026,China)
基金
supported by the National Key Research and Development Program of China(2022YFC3700100 and 2022YFC3704200)
the National Natural Science Foundation of China(42207113)
the Anhui Provincial Natural Science Foundation(2108085QD180)
the Presidential Foundation of the Hefei Institutes of Physical Science,Chinese Academy Sciences(YZJJ2021QN06 and YZJJ2022QN05)
the Strategic Priority Research Program of Chinese Academy of Sciences(XDA23020301)
the Key Research and Development Project of Anhui Province(202104i07020002)
the Major Projects of High Resolution Earth Observation Systems of National Science and Technology(05-Y30B01-9001-19/20-3)
the Youth Innovation Promotion Association of Chinese Academy of Sciences(2021443)
the Young Talent Project of the Center for Excellence in Regional Atmospheric Environment,Chinese Academy of Sciences(CERAE202004)。
