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Detectability of CO2 emission plumes of cities and power plants with the Copernicus Anthropogenic CO2 Monitoring (CO2M) mission

机译:Copernicus人为CO2监测(CO2M)使命的城市和发电厂的可检测性

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High-resolution atmospheric transport simulations were used to investigate the potential for detecting carbon dioxide (CO2) plumes of the city of Berlin and neighboring power stations with the Copernicus Anthropogenic Carbon Dioxide Monitoring (CO2M) mission, which is a proposed constellation of CO2 satellites with imaging capabilities. The potential for detecting plumes was studied for satellite images of CO2 alone or in combination with images of nitrogen dioxide (NO2) and carbon monoxide (CO) to investigate the added value of measurements of other gases coemitted with CO2 that have better signal-to-noise ratios. The additional NO2 and CO images were either generated for instruments on the same CO2M satellites (2km×2km resolution) or for the Sentinel-5 instrument (7.5km×7.5km) assumed to fly 2h earlier than CO2M. Realistic CO2, CO and NOX(=NO+NO2) fields were simulated at 1km×1km horizontal resolution with the Consortium for Small-scale Modeling model extended with a module for the simulation of greenhouse gases (COSMO-GHG) for the year 2015, and they were used as input for an orbit simulator to generate synthetic observations of columns of CO2, CO and NO2 for constellations of up to six satellites. A simple plume detection algorithm was applied to detect coherent structures in the images of CO2, NO2 or CO against instrument noise and variability in background levels. Although six satellites with an assumed swath of 250km were sufficient to overpass Berlin on a daily basis, only about 50 out of 365 plumes per year could be observed in conditions suitable for emission estimation due to frequent cloud cover. With the CO2 instrument only 6 and 16 of these 50 plumes could be detected assuming a high-noise (σVEG50=1.0ppm) and low-noise (σVEG50=0.5ppm) scenario, respectively, because the CO2 signals were often too weak. A CO instrument with specifications similar to the Sentinel-5 mission performed worse than the CO2 instrument, while the number of detectable plumes could be significantly increased to about 35 plumes with an NO2 instrument. CO2 and NO2 plumes were found to overlap to a large extent, although NOX had a limited lifetime (assumed to be 4h) and although CO2 and NOX were emitted with different NOX:CO2 emission ratios by different source types with different temporal and vertical emission profiles. Using NO2 observations from the Sentinel-5 platform instead resulted in a significant spatial mismatch between NO2 and CO2 plumes due to the 2h time difference between Sentinel-5 and CO2M. The plumes of the coal-fired power plant J?nschwalde were easier to detect with the CO2 instrument (about 40–45 plumes per year), but, again, an NO2 instrument could detect significantly more plumes (about 70). Auxiliary measurements of NO2 were thus found to greatly enhance the capability of detecting the location of CO2 plumes, which will be invaluable for the quantification of CO2 emissions from large point sources.
机译:使用高分辨率大气传输模拟来研究检测柏林市和邻近电站的二氧化碳(CO2)羽毛与哥白尼人为二氧化碳监测(CO2M)任务,这是一种拟议的二氧化碳卫星星座成像功能。研究了检测羽羽的可能性,用于单独的CO2的卫星图像,或者与二氧化氮(NO2)和一氧化碳(CO)的图像组合,以研究与CO2中加重的其他气体的测量值的附加值的增加值 - 噪音比率。为同一CO2M卫星(2km×2km分辨率)或Sentinel-5仪器(7.5km×7.5km)的仪器产生额外的NO2和CO图像,假设比CO2M早熟飞行2小时。利用2015年模块模块,利用集团模块模拟了1km×1km的水平分辨率模拟了1km×1km的水平分辨率,为2015年的温室气体(Cosmo-Ghg)的模块进行了模拟了1km×1km的水平分辨率。它们被用作轨道模拟器的输入,以产生多达六个卫星的星座的CO2,CO和NO2列的合成观察。应用简单的羽流检测算法以检测CO2,NO2或CO的图像相干结构,以防止仪器噪声和背景水平的可变性。尽管每天都有六种带有假定的250km的卫星,但每天足以超越柏林,但在适合由于频繁的云覆盖引起的排放估计的条件下,只能观察到每年365羽毛中的约50个。利用这些50份仪器的CO2仪器,可以在假设高噪声(ΣVE550= 1.0ppm)和低噪声(ΣVEG50= 0.5ppm)方案中,因为CO2信号往往太弱。具有类似于Sentinel-5任务的规格的CO仪器比CO 2仪器更差,而可检测羽羽的数量可以显着增加至NO2仪器的约35羽毛。发现CO 2和NO2羽量在很大程度上重叠,尽管NOx寿命有限(假设为4h),但尽管CO 2和NOx具有不同的NOx:CO2排放比,但不同的源类型具有不同的时间和垂直发射曲线。由于Sentinel-5和CO2M之间的2H时间差,使用来自哨尼尔-5平台的NO2观测,而是在NO2和CO2羽毛之间产生了显着的空间不匹配。燃煤电厂J的羽毛更容易用CO2仪器(每年约40-45羽毛)检测,但再次,NO2仪器可以检测到显着更多的羽毛(约70)。因此发现NO2的辅助测量大大提高了检测CO2羽羽的位置的能力,这对于从大点来源的量化二氧化碳排放量将是无价的。

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