Heavy metal induced ecological risk in the city of Urumqi, NW China
Heavy metal induced ecological risk in the city of Urumqi, NW China
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DOI：
10.1007/s10661-008-0655-1
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发表时间：
2010
影响因子：
3
通讯作者：
Binggan Wei;F. Jiang;Xuemei Li;Shuyong Mu
中科院分区：
文献类型：
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作者：
Binggan Wei;F. Jiang;Xuemei Li;Shuyong Mu
采用电感耦合等离子体质谱法对新疆维吾尔自治区首府乌鲁木齐市采集的169份道路灰尘样品进行了镉、铬、铜、镍、铅、锰、铍、钴、锌、铀10种元素的分析。通过相关分析、主成分分析和聚类分析等多元分析来确定金属的可能来源。此外，利用富集因子定量评价人类活动对重金属浓度的影响。并采用潜在生态风险指数评价重金属污染物的生态风险。结果表明：（1）城市地区除Co、U外，涉及的重金属浓度均远高于背景值。Mn、U、Co主要是天然来源； Cu、Pb、Zn、Cr主要为交通来源，部分为工业来源； Ni和Be主要是机械车间、火力发电厂、轮胎橡胶厂、水泥厂、纺织厂等工业活动的结果，也是部分交通来源； (2)Cd“毒性反应”系数高、浓度高，对环境的影响比其他重金属更为严重。因此，与住宅区和新兴城市地区相比，商业和工业区通常具有较高的潜在生态风险。本研究结果可为工业区环境管理提供参考。
A total of 169 samples of road dust collected in the city of Urumqi, capital of the Xinjiang Uygur Autonomous Region in northwest China, were analyzed by method of inductively coupled plasma-mass spectrometry for 10 elements (i.e., Cd, Cr, Cu, Ni, Pb, Mn, Be, Co, Zn, and U). The possible sources of metals are identified with multivariate analysis such as correlation analysis, principal component analysis, and cluster analysis. Besides, enrichment factors are used to quantitatively evaluate the influences of human activities on heavy metal concentrations. Moreover, the potential ecological risk index is applied to evaluating the ecological risk of heavy metal pollutants. The results indicate that: (1) the concentrations of the heavy metals involved were much higher in urban areas than the background values, except those of Co and U. Mn, U, and Co are mainly of natural origin; Cu, Pb, Zn, and Cr are mainly of traffic sources and are partly of industrial sources; Ni and Be are mainly the results of industrial activities, such as machine shops, firepower plants, tire and rubber factories, cement factories, and textile mills and are partly of the traffic sources; (2) with high “toxic-response” factor and high concentration, Cd has more serious influences on the environment than other heavy metals. Therefore, commercial and industrial areas are usually characterized by higher potential ecological risk when compared with residential areas and new developing urban areas. The results of this study could be helpful for the management of environment in industrial areas.