摘要
利用大气探测卫星AURA搭载的臭氧观测仪(ozone monitoring instrument,OMI)所获得的紫外辐射红斑剂量数据,分析了2005 2015年中国紫外辐射的时空变化特征。在空间上,紫外线辐射呈现纬度地带性分布,从南向北逐渐减小,大约从4200 J·m^-2到1500 J·m^-2递减。紫外辐射与高程呈现明显的正相关,东部、东北的低海拔地区,紫外辐射相对较低。在高海拨的青藏高原区,紫外辐射高,多年平均值大约为5500 J·m^-2,有些区域可达6000 J·m^-2以上。在时间上,紫外辐射红斑剂量存在明显的季节变化,一年中变化大致呈现抛物线分布。在夏季(7月份)达到最大值,多年平均值为5532.9 J·m^-2,春秋季次之,冬季(12月份)达到最小值,多年平均值为1089.2 J·m^-2。2005 2015年平均紫外线辐射呈上升趋势,但是在2010年出现谷值,多年平均值大约为3016.5 J·m^-2。不同区域的变化趋势表现出明显的空间差异,大体呈现两种模式:在高值的青藏高原区,紫外辐射呈现减少的趋势;在低值区,紫外辐射呈现逐渐增大的趋势。
Background,aim,and scope With the discovery of the ozone hole,due to the increasingly serious damage of the stratospheric ozone,the ultraviolet radiation reaching the earth’s surface has increased.The current situation and the long-term trend of ultraviolet radiation have caused widespread concern in the scientific community.The remote sensing observation of ultraviolet radiation has developed earlier in foreign countries,and there have been a lot of research results on the temporal and spatial variations of ultraviolet radiation.The latest sensor is the OMI,which was mounted on NASA’s AURA satellite in 2004.Many studies have verified the accuracy of the ultraviolet radiation data product.The data can be used for the research of spatial distribution and temporal variation of ultraviolet radiation.Materials and methods The UV radiation measurements from the Ozone Monitoring Instrument(OMI)abroad on AURA are used in this paper for investigating the temporal and spatial variation over China from 2005 to 2015,The data format is HDF-EOS(.he5)with a spatial resolution of 0.25°×0.25°and a time resolution of 1 day.First,we use MATLAB software to extract ultraviolet radiation erythemal dose data from UV radiation products(HDF-EOS 5 file format),convert the vector point data into monthly,quarter and year.The interpolation processing is performed using Inverse Distance Weighted(IDW)to regenerate 0.25°×0.25°raster data.Then analyze the temporal and spatial variation characteristics of ultraviolet radiation erythemal dose in China.This paper uses the coefficient of variation to characterize the fluctuations in time and space.The coefficient of variation(CV)is the ratio of the standard deviation(σ)to the mean(μ).Results On the spatial scale,the UV presents the latitudinal distribution,decreasing from the south to the north,with the value about from 4200 J·m^-2 to 1500 J·m^-2.At low latitudes and high altitudes,such as the Yunnan-Kweichow Plateau,the annual average UV radiation is maintained at a medium level.Over
作者
肖钟湧
邱小英
谢伊宁
赵伯维
王一琳
梁锺英
陈雅文
陈国强
XIAO Zhongyong;QIU Xiaoying;XIE Yining;ZHAO Bowei;WANG Yilin;LIANG Zhongying;CHEN Yawen;CHEN Guoqiang(School of Science,Jimei University,Xiamen 361021,China)
出处
《地球环境学报》
CSCD
2019年第3期291-298,共8页
Journal of Earth Environment
基金
福建省教育厅科技项目(JA14183)
潘金龙集美大学学科建设基金(ZC2013022)
福建省科技厅项目(2017J01659)~~
关键词
OMI
紫外辐射
卫星遥感
变异系数
空间插值
OMI
surface albedo
satellite remote sensing
coefficient of variation
spatial interpolation
