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Estimating CH4, CO2 and CO emissions from coal mining and industrial activities in the Upper Silesian Coal Basin using an aircraft-based mass balance approach

机译:利用基于飞机的大规模平衡方法估算煤矿煤池中煤矿和工业活动的CH4,二氧化碳和工业活动

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A severe reduction of greenhouse gas emissions is necessary to reach the objectives of the Paris Agreement. The implementation and continuous evaluation of mitigation measures requires regular independent information on emissions of the two main anthropogenic greenhouse gases, carbon dioxide (CO2) and methane (CH4). Our aim is to employ an observation-based method to determine regional-scale greenhouse gas emission estimates with high accuracy. We use aircraft- and ground-based in situ observations of CH4, CO2, carbon monoxide (CO), and wind speed from two research flights over the Upper Silesian Coal Basin (USCB), Poland, in summer 2018. The flights were performed as a part of the Carbon Dioxide and Methane (CoMet) mission above this European CH4 emission hot-spot region. A kriging algorithm interpolates the observed concentrations between the downwind transects of the trace gas plume, and then the mass flux through this plane is calculated. Finally, statistic and systematic uncertainties are calculated from measurement uncertainties and through several sensitivity tests, respectively. For the two selected flights, the in-situ-derived annual CH4 emission estimates are 13.8±4.3 and 15.1±4.0kgs?1, which are well within the range of emission inventories. The regional emission estimates of CO2, which were determined to be 1.21±0.75 and 1.12±0.38ts?1, are in the lower range of emission inventories. CO mass balance emissions of 10.1±3.6 and 10.7±4.4kgs?1 for the USCB are slightly higher than the emission inventory values. The CH4 emission estimate has a relative error of 26%–31%, the CO2 estimate of 37%–62%, and the CO estimate of 36%–41%. These errors mainly result from the uncertainty of atmospheric background mole fractions and the changing planetary boundary layer height during the morning flight. In the case of CO2, biospheric fluxes also add to the uncertainty and hamper the assessment of emission inventories. These emission estimates characterize the USCB and help to verify emission inventories and develop climate mitigation strategies.
机译:需要严重减少温室气体排放,以达到巴黎协定的目标。减缓措施的实施和持续评估需要定期关于两种主要人为温室气体排放的独立信息,二氧化碳(CO2)和甲烷(CH4)。我们的目的是采用基于观测的方法来确定高精度的区域级温室气体排放估计。我们在2018年夏季,我们使用基于飞机和地面的SITU观察CH4,CO2,一氧化碳(CO),以及来自两个研究航班的风速,从两次研究飞行中,波兰,波兰,在2018年夏天。航班是如此该欧洲CH4排放热点区域之上的二氧化碳和甲烷(Comet)任务的一部分。 Kriging算法在痕量气体羽流的下行横断面之间插入观察到的浓度,然后计算通过该平面的质量磁通量。最后,统计和系统的不确定性分别根据测量不确定性和几种灵敏度测试计算。对于两个选定的航班,原位衍生的年度CH4发射估计为13.8±4.3和15.1±4.0kgs?1,这在排放库存范围内。 CO2的区域排放估计值确定为1.21±0.75和1.12±0.38Ts?1,在较低的排放库存范围内。 USCB的10.1±3.6和10.7±4.4kgs的CO质量平衡排放为10.1±3.6和10.7±4.4kgs?1略高于排放库存值。 CH4排放估计的相对误差为26%-31%,二氧化碳估计为37%-62%,CO估计为36%-41%。这些误差主要是由于大气背景摩尔分数的不确定性以及在早晨飞行期间改变行星边界层高度。在二氧化碳的情况下,生物助熔剂也增加了不确定性并阻碍了排放库存的评估。这些排放估计表征USCB并有助于验证排放库存并发展气候缓解策略。
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