干旱区生态环境知识资源中心(Arid): 西北五省区不同土地覆被类型近地表$\rho \left( {{\rm{N}}{{\rm{H}}

Arid

	西北五省区不同土地覆被类型近地表$\rho \left( {{\rm{N}}{{\rm{H}}_3}} \right)$时空特征分析
其他题名	Temporal and spatial characteristics of near surface ${{\rm{N}}{{\rm{H}}_3}}$ mass concentrations of different land covers in the five northwest provinces of China
	席睿鹏; 刘磊; 焦继宗; 颉耀文; 杨宇宇; 刘璞
来源期刊	兰州大学学报. 自然科学版
ISSN	0455-2059
出版年	2021
卷号	57 期号:6 页码:735-742
中文摘要	利用红外大气探测干涉分光仪${{\rm{N}}{{\rm{H}}_3}}$柱浓度数据产品耦合化学传输模型和高斯拟合方法反演2008-2016年西北五省区近地表$\rho \left( {{\rm{N}}{{\rm{H}}_3}} \right)$,对反演结果进行反距离加权插值提高分辨率;使用空间分区统计方法分析不同土地覆被类型的近地表$\rho \left( {{\rm{N}}{{\rm{H}}_3}} \right)$时空变化特征和原因.结果表明,卫星反演结果跟实测数据相比略有偏大,整体比较一致;西北五省区近地表年均$\rho \left( {{\rm{N}}{{\rm{H}}_3}} \right)$整体呈上升趋势, 2016年达到最大值$6.97\mu {\rm{g/}}{{\rm{m}}^3}$;不同区域近地表年均$\rho \left( {{\rm{N}}{{\rm{H}}_3}} \right)$存在空间异质性且变化情况不同,高值区域出现在新疆塔里木盆地西部和北部的边缘绿洲地区、甘肃兰州市、宁夏北部河套平原地区、陕西渭河平原中部地区;西北五省区近地表月均$\rho \left( {{\rm{N}}{{\rm{H}}_3}} \right)$呈现季节性周期变化,每年的夏季近地表$\rho \left( {{\rm{N}}{{\rm{H}}_3}} \right)$值达到最大,冬季近地表$\rho \left( {{\rm{N}}{{\rm{H}}_3}} \right)$最低;不同土地覆被类型的近地表$\rho \left( {{\rm{N}}{{\rm{H}}_3}} \right)$存在明显差异,大小次序依次为不透水面、农田、灌丛、林地、湿地、贫瘠区、草地、冰雪区、水体.
英文摘要	The surface ${{\rm{N}}{{\rm{H}}_3}}$ mass concentrations in Northwest China from 2008 to 2016 were retrieved with the coupling chemical transport model and infrared atmospheric sounding interferometer. The inverse distance weighted interpolation was performed on the satellite-derived surface ${{\rm{N}}{{\rm{H}}_3}}$ mass concentrations to improve the spatial resolution and the geospatial statistical method used to analyze the characteristics of and reasons behind the temporal and spatial changes in the near surface ${{\rm{N}}{{\rm{H}}_3}}$ mass concentrations in different land cover types. Satellite-retrieved surface ${{\rm{N}}{{\rm{H}}_3}}$ mass concentration were slightly larger than the measured data; the average annual surface ${{\rm{N}}{{\rm{H}}_3}}$ mass concentration over the five northwest provinces showed an overall upward trend since 2008, reaching a maximum value of $6.97\mu {\rm{g/}}{{\rm{m}}^3}$ in 2016. There was a notable spatial heterogeneity of surface ${{\rm{N}}{{\rm{H}}_3}}$ mass concentrations in different regions. High surface ${{\rm{N}}{{\rm{H}}_3}}$ mass concentrations appeared in the marginal oasis areas of western and northern Tarim Basin, Lanzhou City of Gansu Province, Hetao plain area of northern Ningxia and the central area of the Weihe plain of Shaanxi Province. Surface ${{\rm{N}}{{\rm{H}}_3}}$ mass concentrations in the five northwest provinces showed distinct seasonal changes, reaching their maximums in summer and minimums in winter respectively. Surface ${{\rm{N}}{{\rm{H}}_3}}$ mass concentrations over different land cover types were significantly different, the order being impervious surface, farmland, shrub, woodland, wetland, barren area, grassland, ice, snow area and water body. The results were the first systematic report of surface ${{\rm{N}}{{\rm{H}}_3}}$ mass concentration in western China, which is of great significance for an objective understanding of the temporal and spatial pattern changes of ${{\rm{N}}{{\rm{H}}_3}}$ mass concentration in arid areas of China.
中文关键词	近地表${{\rm{N}}{{\rm{H}}_3}}$质量浓度 ; 卫星观测 ; 红外大气探测干涉分光仪 ; 西北五省区
英文关键词	surface ${{\rm{N}}{{\rm{H}}_3}}$ mass concentration satellite observation infrared atmospheric sounding interferometer five northwestern provinces of China
类型	Article
语种	中文
收录类别	CSCD
WOS类目	Meteorology & Atmospheric Sciences
CSCD记录号	CSCD:7124072
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/377771
作者单位	席睿鹏, 兰州大学资源环境学院, 兰州, 甘肃 730000, 中国.; 刘磊, 兰州大学资源环境学院, 兰州, 甘肃 730000, 中国.; 焦继宗, 兰州大学资源环境学院, 兰州, 甘肃 730000, 中国.; 颉耀文, 兰州大学资源环境学院, 兰州, 甘肃 730000, 中国.; 杨宇宇, 兰州大学资源环境学院, 兰州, 甘肃 730000, 中国.; 刘璞, 兰州大学资源环境学院, 兰州, 甘肃 730000, 中国.
推荐引用方式 GB/T 7714	席睿鹏,刘磊,焦继宗,等. 西北五省区不同土地覆被类型近地表$\rho \left( {{\rm{N}}{{\rm{H}}_3}} \right)$时空特征分析[J],2021,57(6):735-742.
APA	席睿鹏,刘磊,焦继宗,颉耀文,杨宇宇,&刘璞.(2021).西北五省区不同土地覆被类型近地表$\rho \left( {{\rm{N}}{{\rm{H}}_3}} \right)$时空特征分析.兰州大学学报. 自然科学版,57(6),735-742.
MLA	席睿鹏,et al."西北五省区不同土地覆被类型近地表$\rho \left( {{\rm{N}}{{\rm{H}}_3}} \right)$时空特征分析".兰州大学学报. 自然科学版 57.6(2021):735-742.