基于OMI数据的长三角地区NO_x排放清单校验

发布时间：2018-07-11 16:32

本文选题：排放清单 + 清单校验　；参考：《环境科学研究》2017年06期

【摘要】：近年来伴随着我国经济的持续增长,人为源氮氧化物排放居高不下,导致我国区域大气复合污染日趋严重.NO_x排放清单对于大气复合污染研究具有极为重要的意义.为了降低NO_x排放清单的不确定性,基于OMI卫星观测的对流层NO_2柱浓度资料,结合WRF-CMAQ模型系统,对2014年长三角区域NO_x排放清单进行了校验,对于该清单的不确定性进行了初步评估.结果表明,基于长三角地区2014年大气污染物排放清单,利用WRF-CMAQ系统模拟所获得的区域NO_2柱浓度平均值(4.66×10~(15)~10.58×10~(15)mole/cm~2)与OMI卫星数据(3.49×10~(15)~11.47×10~(15)mole/cm~2)较为接近,并且相关性较好(平均R=0.65),归一化平均偏差(NMB)在-7.71%~33.52%之间,平均偏差(Bias)在0.06~0.28之间,可以在一定程度上说明2014年长三角区域NO_x排放总量基本能够反映区域NO_2污染状况.对比分析了OMI卫星遥感资料与CMAQ模型模拟结果,二者NO_2柱浓度空间分布情况总体一致,然而,苏南、上海和浙北等工业较发达地区OMI卫星NO_2柱浓度低于CMAQ模型模拟值,周边经济欠发达地区OMI卫星数据高于CMAQ模型模拟值,表明空间分布仍有进一步优化的空间.利用近地面卫星观测数据与CMAQ模型模拟结果对比,可得近地层观测ρ(NO_2)高于模拟结果,说明仅仅利用地面观测数据验证模型模拟结果存在一定偏差.研究显示,NO_x排放清单模型模拟结果在总量和时间变化方面与OMI卫星资料一致,在空间分配方面存在一定偏差.
[Abstract]:In recent years, with the continuous growth of China's economy, human nitrogen oxide emission is high, which leads to the increasing.NO_x emission inventory of regional atmospheric compound pollution in China, which is of great significance for the study of atmospheric compound pollution. In order to reduce the uncertainty of the NO_x emission list, the concentration of tropospheric NO_2 column based on OMI satellite observation Data, combined with the WRF-CMAQ model system, the NO_x emission list of the Yangtze River Delta region in 2014 was checked and the uncertainty of the list was preliminarily evaluated. The results showed that the average concentration of NO_2 column concentration (4.66 * 10~ (15) ~10.58) obtained by the WRF-CMAQ system simulation based on the emission list of the atmospheric pollutants in the Yangtze River Delta region. X 10~ (15) mole/cm~2) is closer to the OMI satellite data (3.49 x 10~ (15) ~11.47 x 10~ (15) mole/cm~2), and the correlation is better (average R=0.65), the normalized mean deviation (NMB) is between -7.71%~33.52%, the average deviation (Bias) is between 0.06~0.28. It can be explained to a certain extent that the total amount of emissions in the Yangtze River Delta region in 2014 can be basically reflected. Regional NO_2 pollution status. Comparison and analysis of OMI satellite remote sensing data and CMAQ model simulation results, the concentration spatial distribution of the two NO_2 columns is the same. However, the OMI satellite NO_2 column concentration in South of Jiangsu, Shanghai and Northern Zhejiang is lower than the CMAQ model, and the surrounding OMI satellite data in the underdeveloped regions are higher than the CMAQ model model. Compared with the simulation results of CMAQ model and near ground satellite observation data, the near ground observation (NO_2) is higher than the simulation results. It shows that there is a certain deviation in the model simulation results only using the ground observation data. The results show that the simulation results of the NO_x emission inventory model are at the same time. The variation of total and time is consistent with OMI satellite data, and there is a certain deviation in spatial allocation.
【作者单位】：东华大学环境科学与工程学院;上海市环境科学研究院;国家环境保护城市大气复合污染成因与防治重点实验室;
【基金】：国家科技支撑计划项目(2014BAC22B03)
【分类号】：X511

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