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作 者:孙文文[1] 江洪[1,2,3] 陈晓峰[1] 舒海燕[3] 马锦丽[1]
机构地区:[1]浙江农林大学浙江省森林生态系统碳循环与固碳减排重点实验室,杭州311300 [2]南京大学国际地球系统科学研究所,南京210093 [3]西南大学三峡库区生态环境教育部重点实验室,重庆400715
出 处:《科技通报》2016年第8期230-236,共7页Bulletin of Science and Technology
基 金:国家自然科学基金(61190114和41171324);高等学校博士学科点专项科研基金(20110091110028);科技部国家科技基础条件平台项目(2005DKA32300)
摘 要:研究采用地面站点、遥感和模型数据,对浙江北部杭州、临安、宁波三个典型城市的AOT、PM2.5时空变化以及雾霾发生期间颗粒物的后向轨迹进行了分析。结果表明,时间上,三个城市气溶胶光学厚度变化情况较一致,即春夏大于秋冬;空间分布上具有明显的区域特征,即杭州>临安>宁波。PM2.5最大值出现在1月份,最小值出现在7月份。但对PM2.5进行垂直订正和湿度订正之后,AOT与PM2.5具有较高的相关性,3次雾霾事件发生期间3个典型城市AOT与PM2.5颗粒物浓度相关系数均高于0.55。探索了浙江北部地区大气气溶胶光学厚度与PM2.5的相关关系,为进一步深入研究区域大气环境并建立相关模型提供参考和借鉴。Using ground base stations, remote sensing and model data to analyze the temporal and spatialvariation of AOT and PM2.5, as well as backward trajectories in the three typical city of Hangzhou, Lin'an,and Ningbo, which lie in northern Zhejiang province . The results showed that in temporal scale, theaerosol optical thickness (AOT) variations of the three cities were more consistent,and AOT in springand summer were higher than those in autumn and winter. Besides, there was obvious region-distributedcharacteristics on spatial scale, and that was Hangzhou 〉 Lin'an 〉 Ningbo. PM2.5 maximum valueoccurred in January, and the minimum was in July. But after vertical and humidity revise for PM2.5, AOTand PM2.5 had a higher correlation. What’s more, during the three haze events, AOT and PM2.5 particlesmass concentration correlation coefficients were higher than 0.55 in the three typical city. Explored therelationship between aerosol optical thickness and PM2.5 in the northern part of Zhejiang .providedreferences for further study of regional atmospheric environment so as to establish the relevant model.
分 类 号:X513[环境科学与工程—环境工程]
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