基于OMI数据的长三角地区NO x 排放清单校验

Q2 Environmental Science 环境科学研究 Pub Date : 2017-06-25 DOI:10.13198/J.ISSN.1001-6929.2017.01.01

石颖颖, 李莉, 陈勇航, 安静宇, 刘琼, 严茹莎, 黄成

{"title":"基于OMI数据的长三角地区NO x 排放清单校验","authors":"石颖颖, 李莉, 陈勇航, 安静宇, 刘琼, 严茹莎, 黄成","doi":"10.13198/J.ISSN.1001-6929.2017.01.01","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":21108,"journal":{"name":"环境科学研究","volume":"30 1","pages":"825-834"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"环境科学研究","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.13198/J.ISSN.1001-6929.2017.01.01","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Environmental Science","Score":null,"Total":0}

引用次数: 0

Abstract

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.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Verification of NO x emission inventory in the Yangtze River Delta region based on OMI data

In recent years, with the continuous growth of China's economy, anthropogenic nitrogen oxide emissions have remained high, leading to increasingly serious regional air pollution in China The NOx emission inventory is of great significance for the study of atmospheric composite pollution. In order to reduce the uncertainty of the NOx emission inventory, based on the concentration data of NO2 column in the troposphere observed by OMI satellite and combined with the WRF-CMAQ model system, the 2014 Yangtze River Delta region NOx emission inventory was verified, and the uncertainty of the inventory was preliminarily evaluated. The results show that based on the 2014 Yangtze River Delta region atmospheric pollutant emission inventory, Using the WRF-CMAQ system to simulate the average concentration of NO2 column in the region (4.66 × 1015-10.58 × 1015 mole/cm2) and OMI satellite data (3.49 × 1015-11.47 × 1015 moles/cm2 is relatively close and has a good correlation (average R=0.65). The normalized mean deviation (NMB) is between -7.71% and 33.52%, and the average deviation (Bias) is between 0.06 and 0.28. This can to some extent indicate that the total NOx emissions in the Yangtze River Delta region in 2014 can basically reflect the regional NO2 pollution situation. A comparative analysis of OMI satellite remote sensing data and CMAQ model simulation results shows that the spatial distribution of NO2 column concentration is generally consistent. However, The NO2 column concentration of OMI satellites in industrial developed areas such as southern Jiangsu, Shanghai, and northern Zhejiang is lower than the simulated value of the CMAQ model, while the OMI satellite data in surrounding economically underdeveloped areas is higher than the simulated value of the CMAQ model, indicating that there is still room for further optimization of spatial distribution. By comparing near-surface satellite observation data with the simulated results of the CMAQ model, near-surface observations can be obtained ρ (NO2) is higher than the simulation results, indicating that there is a certain deviation in verifying the model simulation results solely using ground observation data. Research shows that the simulation results of the NOx emission inventory model are consistent with the OMI satellite data in terms of total amount and time changes, and there is a certain deviation in spatial allocation

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊