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机构地区:[1]中国科学院遥感与数字地球研究所,北京100101 [2]贵州师范学院资源环境与灾害研究所,贵阳550018
出 处:《环境工程》2015年第11期63-66,119,共5页Environmental Engineering
基 金:国家自然科学基金(31100187);贵州环境科学教学团队项目(黔教高[2012]426号);贵州教育厅项目(13GH069);贵州科技厅项目(J20112048)
摘 要:与中国的发达地区相比,针对欠发达地区中小城市PM2.5的研究比较欠缺。收集了2013年12月31日至2014年4月29日的PM2.5日均浓度以及2014年1月7日至2月25日的时均浓度数据,采用GIS和遥感提取土地利用现状和遵义市建成区,结合统计定量分析方法,研究遵义市的PM2.5浓度变化特征及其驱动力。结果表明:1)遵义市PM2.5日均浓度的城乡差异不明显。2)PM2.5浓度具有明显的季节性特征,并呈现显著的降低趋势。3)PM2.5的日变化和人类活动有明显的相关性。4)PM2.5日变化表现出双峰型周期性的变化趋势,在早晨和下午出现浓度低值,并在凌晨和中午出现峰值和次峰值。Comparing with those studies in the developed areas in China,there were fewer cases in medium and small-sized cities,especially in the developing area. This paper collected daily average PM2. 5concentration from December 31,2013 to April 29,2014,and hourly average concentration from 0: 00 on January 7,2014 to 23: 00 on February 25,2014 from the monitoring points. Land use situation,especially urban built-up area,was captured using GIS and remote sensing method.Consequentially,this paper studied PM2. 5concentration characteristics and analyzed the main influencing factors using quantitative analysis method. The results showed that there was an insignificant difference in PM2. 5concentration between urban and rural area in Zunyi City. PM2. 5concentration variation indicated a remarkable seasonal characteristics,and there was an obvious decreasing tendency. An obvious relationship existed between concentration variation and human activities. The daily variation indicated a periodic bi-peak trend. There was a minimum value in the morning and afternoon,meanwhile,a max value in the wee hours and a sub-peak value at noon.
分 类 号:X513[环境科学与工程—环境工程]
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