引用本文:石颖颖,李莉,陈勇航,安静宇,刘琼,严茹莎,黄成,等.基于OMI数据的长三角地区NOx排放清单校验[J].环境科学研究,2017,30(6):825-834.
SHI Yingying,LI Li,CHEN Yonghang,AN Jingyu,LIU Qiong,YAN Rusha,HUANG Cheng,et al.Verification of NOx Emissions in the Yangtze River Delta Region based on OMI Data[J].Reserrch of Environmental Science,2017,30(6):825-834.]
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基于OMI数据的长三角地区NOx排放清单校验
石颖颖1,2,3, 李 莉2,3, 陈勇航1, 安静宇2,3, 刘 琼1, 严茹莎2,3, 黄 成2,3
1.东华大学环境科学与工程学院, 上海 201620 ;2.上海市环境科学研究院, 上海 200233 ;3.国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233
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. NOx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NOx排放清单的不确定性,基于OMI卫星观测的对流层NO2柱浓度资料,结合WRF-CMAQ模型系统,对2014年长三角区域NOx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NO2柱浓度平均值(4.66×1015~10.58×1015 mole/cm2)与OMI卫星数据(3.49×1015~11.47×1015 mole/cm2)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NOx排放总量基本能够反映区域NO2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NO2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NO2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(NO2)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,NOx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.
关键词:  排放清单  清单校验  NOx  OMI  对流层
DOI:
分类号:
基金项目:国家科技支撑计划项目(2014BAC22B03)
Verification of NOx Emissions in the Yangtze River Delta Region based on OMI Data
SHI Yingying1,2,3, LI Li2,3, CHEN Yonghang1, AN Jingyu2,3, LIU Qiong1, YAN Rusha2,3, HUANG Cheng2,3
1.School of Environmental Science and Engineering, Donghua University, Shanghai 201620, China ;2.Shanghai Academy of Environmental Sciences, Shanghai 200233, China ;3.State Environmental Protection Key Laboratory of the Cause and Prevention of Urban Air Pollution Complex, Shanghai 200233, China
Abstract:
Abstract: In recent years, with the continuous growth of China′s economy, anthropogenic emissions of nitrogen oxides remain high, causing regional air pollution. In order to investigate the uncertainty of the NOx emissions inventory, the NO2 tropospheric column data from OMI satellite, combined with the WRF-CMAQ modeling system were applied to verify the regional NOx emissions inventory in the Yangtze River Delta (YRD) region, and the uncertainty of the NOx emissions inventory was assessed. The results show that, based on the NOx emissions inventory of the Yangtze River Delta in 2014, the average value of the regional NO2 column density (4.66×1015-10.58×1015mole/cm2) obtained from the WRF-CMAQ model and average OM INO2 tropospheric column density (3.49×1015-11.47×1015mole/cm2) were close to each other. The correlation was good (average R=0.65), the normalized mean bias (NMB) was from -7.71% to 33.52%, and the bias was between 0.06 and 0.28. Generally, the total amount of NOx emissions in the YRD region in 2014 could basically reflect the regional NO2 pollution situation. The study showed that the simulation results of NOx emissions inventory were consistent with satellite data in total amount and spatial allocation. However, the satellite NO2 column densities were lower than those simulated from CMAQ in south of Jiangsu, Shanghai, north of Zhejiang and other industrial areas, though in the surrounding economically underdeveloped areas the result was the opposite. This shows that the spatial distributions still need further optimization. By comparing the observed data with the model predicted results, we determined that the NO2 concentrations of the near ground observation were higher than the model predicted data, which indicates that there would be some deviations in the results if only the ground observation data were used to verify the model results. The results show that the simulation results of NOx emission inventory are consistent with the satellite data in terms of total amount and time, but there are some deviations in the spatial distribution.
Key words:  emissions inventory  verification  NOx  OMI  troposphere