检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:李晓林[1] 岳伟生[1] 刘江峰[1] 万天敏[1] 张桂林[1] 李燕[1] 黄宇营[2] 何伟[2] 华魏[2]
机构地区:[1]中国科学院上海应用物理研究所,上海201800 [2]中国科学院高能物理研究所,北京100039
出 处:《岩矿测试》2006年第3期206-210,共5页Rock and Mineral Analysis
基 金:国家自然科学基金重大项目(10490182);国家自然科学基金资助项目(10375084);中国科学院创新工程资助项目(KJCX2-SW-NO1);北京正负电子对撞机同步辐射装置(BSRF)重点课题资助项目(Sr-03077)
摘 要:将高灵敏度的同步辐射微束X射线荧光光谱分析方法与计算机模式识别技术相结合,用于上海市大气PM2.5单颗粒物的源识别。分析了污染排放源的PM2.5单颗粒物,结果表明,来自不同污染排放源的颗粒物具有不同的能谱特征。同时分析了环境空气监测样品PM2.5单颗粒物,结果表明,在上海市中心区大气PM2.5的污染源主要以机动车尾气为主,而在吴淞工业区大气PM2.5的污染源主要以钢铁工业尘和燃煤烟尘为主。Synchrotron radiation micro-beam X-ray pattern recognition technique was applied to identify fluorescence (micro-SXRF) spectrometry combining with sources of individual PM2.5 airborne particles in ambient air of Shanghai City. The PM2.5 airborne particles of different emission sources in Shanghai City were determined. The results show that each emission source has its characteristic micro-SXRF spectrum. Meanwhile, the PMa.5 airborne particles in environmental monitoring samples were determined. It was found that the major emission sources of the PM2.5 airborne particles were from vehicle tail exhausts in the central city and from metallurgic industrial dust and coal combustion dust in Wu-song industry district.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.42