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宝鸡市街道尘埃磁学特征空间分布及环境意义
摘要点击 1645  全文点击 1091  投稿时间:2014-10-14  修订日期:2015-01-14
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中文关键词  街道尘埃  磁学特性  空间分布  污染  宝鸡市
英文关键词  street dust  magnetic properties  spatial distribution  pollution  Baoji City
作者单位E-mail
张俊辉 宝鸡文理学院陕西省灾害监测与机理模拟重点实验室, 宝鸡 721016 bwlzjh@126.com 
王瑾 宝鸡文理学院陕西省灾害监测与机理模拟重点实验室, 宝鸡 721016  
张健 西北大学城市与环境学院, 西安 710127
西北大学丝绸之路研究院, 西安 710069 
 
房妮 宝鸡文理学院陕西省灾害监测与机理模拟重点实验室, 宝鸡 721016  
夏敦胜 兰州大学西部环境教育部重点实验室, 兰州 730000  
中文摘要
      对宝鸡市街道尘埃样品进行详细系统环境磁学实验分析并结合扫描电子显微镜研究表明,宝鸡市街道尘埃中磁性矿物含量高,主要的磁性矿物为多畴和假单畴的低矫顽力亚铁磁性矿物,同时含有少量的赤铁矿等高矫顽力的硬磁性矿物. 污染来源主要以工业和交通等人为污染为主. 街道尘埃的磁学特征表现出一定的空间变化规律揭示出污染的空间分布,划分为6个主要区域: A(创新路到高新八路区域)和B(东风路和马营路区域),磁性物质含量整体很高,揭示污染相对较重,污染源主要为"工业+交通"; C区(火炬路到医康区域)磁性物质含量相对较高,是中度污染的区域,污染源主要为"交通"; D(经二路与人民路区域)、E(清姜路和姜谭路西部区域)和F(陈仓区虢镇),磁性物质含量相对较低,揭示轻度污染,污染源主要为"交通".
英文摘要
      Magnetic characteristics of street dust can reflect important information of environmental conditions. Environmental magnetic measurements were carried out on the samples of street dust in Baoji City. The results indicated a high concentration of magnetic minerals in street dust, dominated by multiple domain (MD) and pseudo-single domain (PSD) ferrimagnetic minerals which were mainly from the traffic and industrial pollution. According to the Spatial Distribution of Magnetic Properties of Street Dust, Baoji City was divided into six districts (A, B, C, D, E and F areas). In the A (Chuangxin road and Gaoxin road eight) and B (Dongfeng road and Maying road) areas, χlf, SIRM and soft values were the highest in the six areas and much higher than the average values and background values, indicating heavy pollution. The pollution sources were industry and vehicles. χlf, SIRM and soft values were relatively high in the C (Huoju road and Yikang road) area, indicating moderate pollution. The pollution source was vehicles. However, the magnetic parameters were lower than the average values and background values in D (Jinger road and Renmin road), E (Qingjiang road and Jiangtan road) and F (Chencang road) area, suggesting mild pollution. The pollution was caused by vehicle emission.

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