基于OMI数据的长三角城市群对流层NO_(2)浓度时空变化特征及其驱动因素分析  被引量:2

Spatiotemporal Variation Characteristics and Driving Factors of Tropospheric NO_(2) Concentration in Yangtze River Delta Urban Agglomeration Based on OMI Data

在线阅读下载全文

作  者:管庆丹 左小清[1] 李石华[2] 张航 王华[1] GUAN Qingdan;ZUO Xiaoqing;LI Shihua;ZHANG Hang;WANG Hua(School of Land and Resources Engineering,Kunming University of Science and Technology,Kunming 650093,China;Yunnan Basic Geographic Information Center,Kunming 650034,China)

机构地区:[1]昆明理工大学国土资源工程学院,云南昆明650093 [2]云南省基础地理信息中心,云南昆明650034

出  处:《贵州大学学报(自然科学版)》2021年第6期115-124,共10页Journal of Guizhou University:Natural Sciences

基  金:国家自然科学基金资助项目(41861051)。

摘  要:基于臭氧监测仪(ozone monitoring instrument,OMI)遥感数据、气象数据和社会经济数据,采用空间自相关、冷热点分析和相关系数法对长三角城市群2005—2019年对流层NO_(2)浓度的时空分布特征及影响因素进行研究。研究结果表明:1)OMI反演的对流层NO_(2)浓度与地面监测站点实测NO_(2)浓度呈正相关;2)2005—2011年间,长三角城市群对流层NO_(2)浓度一直呈现上升的趋势,2011年达到了最大值,2011年后,整体呈现下降趋势;冬季NO_(2)浓度值明显高于其他三个季节;3)长三角城市群的中心区域是NO_(2)浓度的高值聚集区,NO_(2)浓度变化与气温、降水、风速呈正相关,与气压呈负相关。人口密度、第二产业占比和煤炭消费总量对NO_(2)浓度变化呈正向驱动。Based on ozone monitoring instrument(OMI)remote sensing data,meteorological data and socio-economic data,the spatial autocorrelation,cold hot spot analysis and correlation coefficient method are used to study the temporal and spatial distribution characteristics and influencing factors of tropospheric NO_(2) column concentration in Yangtze River Delta urban agglomeration from 2005 to 2019.The results show that:1)The tropospheric NO_(2) concentration retrieved by OMI is positively correlated with the measured NO_(2) concentration at ground monitoring stations;2)From 2005 to 2011,the tropospheric NO_(2) concentration of urban agglomeration in the Yangtze River Delta has been increasing,reaching the maximum in 2011,and showing a downward trend after 2011;The concentration of NO_(2) in winter was significantly higher than that in the other three seasons;3)The central area of the Yangtze River Delta urban agglomeration is a high concentration area of NO_(2).The change of NO_(2) column concentration is positively correlated with air temperature,precipitation and wind speed,and negatively correlated with air pressure.Population density,the proportion of secondary industry and total coal consumption are positively driving the change of NO_(2) concentration;4)The high-pressure air flow in North China Plain and the Yellow Sea is the main reason for the increase of NO_(2) column concentration in spring,while the diffusion of NO_(2) gas by air flow in North China in winter leads to its low concentration.

关 键 词:OMI 对流层NO_(2) 时空分布 长三角城市群 影响因素 

分 类 号:X16[环境科学与工程—环境科学] X51

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象