CAJ | 학술논문

利用第三代空气质量模型CMAQ( community multiscale air quality modelling system)模拟的PM2.5垂直分层数据和中尺度气象模型WRF( weather research and forcasting model)模拟的高分辨率湿度数据,分别对MODIS AOD( aerosol optical depth)资料进行垂直与湿度订正,建立了订正后的AOD数据与PM2.5地面监测数据之间的线性拟合模型,其线性相关系数r＝0.77( n＝57,P﹤0.01).基于此线性拟合模型,首次反演了2013年1月全国10 km分辨率PM2.5月均浓度的空间分布特征,并分析了人口暴露水平.结果表明,2013年1月我国PM2.5月均浓度大于100μg·m-3、200μg·m-3的面积占国土面积的比例分别高达10.99％、1.34％,暴露人口占全国总人口的比例分别高达45.01％、6.31％.
이용제삼대공기질량모형CMAQ( community multiscale air quality modelling system)모의적PM2.5수직분층수거화중척도기상모형WRF( weather research and forcasting model)모의적고분변솔습도수거,분별대MODIS AOD( aerosol optical depth)자료진행수직여습도정정,건립료정정후적AOD수거여PM2.5지면감측수거지간적선성의합모형,기선성상관계수r＝0.77( n＝57,P﹤0.01).기우차선성의합모형,수차반연료2013년1월전국10 km분변솔PM2.5월균농도적공간분포특정,병분석료인구폭로수평.결과표명,2013년1월아국PM2.5월균농도대우100μg·m-3、200μg·m-3적면적점국토면적적비례분별고체10.99％、1.34％,폭로인구점전국총인구적비례분별고체45.01％、6.31％.
By simulating vertical stratification data of PM2. 5 with the third-generation air quality model CMAQ and high resolution relative humidity data with mesoscale meteorological model WRF, MODIS AOD data were revised by vertical and humidity correcting method, respectively. A linear regression model between revised AOD and PM2. 5 was built, and the linear correlation coefficient was r=0. 77 (n=57,P﹤0. 01). Based on this model, the average monthly concentrations of PM2.5 in 10 km resolution in January 2013 were firstly retrieved in the country, and the population exposure level was analyzed. The results showed that the areas where average monthly concentrations of PM2. 5 was greater than 100 μg·m-3 and 200 μg·m-3 in January 2013 were 10. 99% and 1. 34% of the national terrestrial area, respectively, and the ratios of exposed population were as high as 45. 01% and 6. 31%, respectively.