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研究论文

摘要：应用灰色理论,以武汉、兰州、长春、青岛四大城市为空间序列点,取表土、植物和居民头发平均铅含量为参考因素,取单位面积年均燃料油和燃料煤耗量,主要含铅污染物年均排放量,以及某些气象因素为比较因素,进行了多参考因素的优势分析。灰关联度矩阵表明,我国大城市环境铅污染的优势影响因素是燃料油年均耗量、燃料煤年均耗量、平均相对湿度和煤灰年均排放量,其中燃料煤年均耗量是表土平均铅含量的最大影响因素；相对湿度是植物平均铅含量的最大影响因素；燃料油年均耗量是居民发铅平均含量的最大影响因素。可以确认抗爆汽油中的铅对居民健康具潜在危害性。

Abstract：Grey theory was applied to analyze the factor effecting the lead pollution of urban area.Four cities of Wuhan,Lanzhou,Changchun and Qingdao were taken as points of a space ar-ray,average lead contents of surface soils, plants and residents' hair were gathered as refer-ence factors. Average annual consumption of fuel oil and coal,discharge of lead,and rele-vant meteorological factors were selected as contrast factors. The matrix of grey relationalgrade show that most effective factors on lead pollution in urban environment are averageannual consumption of fuel oil and coal,relative humidity,and discharge of coal ash.A-mong those, the annual consumption of fuel coal and oil is the most effective factor effectinglead content in soil and residents' hair respectively. Relative humidity is most significantlycorrelated to lead content in plants. Potential impact of lead in antiknock gasoline to humanhealth can also be confirmed.