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三峡库区香溪河消落带及库岸土壤重金属迁移特征及来源分析
摘要点击 2831  全文点击 1926  投稿时间:2013-08-06  修订日期:2013-11-06
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中文关键词  三峡库区  消落带  重金属  迁移特征  因子分析-多元线性回归
英文关键词  Three Gorges Reservoir area  water-level-fluctuating zone  heavy metal  transfer characteristic  FA-MLR
作者单位E-mail
胥焘 西北农林科技大学动物科技学院,杨凌 712100
三峡库区生态环境教育部工程研究中心(三峡大学),宜昌 443002 
xutaoxinong@126.com 
王飞 三峡库区生态环境教育部工程研究中心(三峡大学),宜昌 443002  
郭强 三峡库区生态环境教育部工程研究中心(三峡大学),宜昌 443002  
聂小倩 三峡库区生态环境教育部工程研究中心(三峡大学),宜昌 443002  
黄应平 三峡库区生态环境教育部工程研究中心(三峡大学),宜昌 443002  
陈俊 西北农林科技大学动物科技学院,杨凌 712100 chen_jun2008@nwsuaf.edu.cn 
中文摘要
      在测定香溪河消落带(海拔145~175 m)和库岸(海拔175~185 m)土壤重金属含量的基础上,分析重金属的迁移特征,运用地累积指数进行污染评价,同时采用因子分析-多元线性回归(FA-MLR)分析重金属的来源和各来源的贡献比率.结果表明,2012年落干时段内(6~9月),香溪河库岸上层和下层土壤重金属含量都在减少,消落带重金属含量上层土壤减少,下层土壤增多;库岸重金属向消落带迁移,消落带重金属向下层积累.重金属污染级别是Cd>Pb>Cu>Cr,主要风险元素为Cd,各重金属污染程度评价等级都在中等以下.FA-MLR分析表明,消落带75.60%的Pb来源于交通运输,62.03%的Cd来源于农业,64.71%的Cu和75.36%的Cr来源于天然矿石.在库岸,82.26%的Pb来源于交通运输,68.63%的Cd来源于农业,65.72%的Cu和69.33%的Cr来源于天然矿石.FA-MLR成功地模拟了香溪河消落带和库岸土壤重金属的来源,并给出各来源的贡献率;同时揭示了重金属的迁移特征,能为香溪河流域重金属污染防治提供有益参考.
英文摘要
      Transfer characteristics of heavy metals and their evaluation of potential risk were studied based on determining concentration of heavy metal in soils from water-level-fluctuating zone (altitude:145-175 m) and bank(altitude:175-185 m) along Xiangxi River, Three Gorges Reservoir area. Factor analysis-multiple linear regression (FA-MLR) was employed for heavy metal source identification and source apportionment. Results demonstrate that, during exposing season, the concentration of soil heavy metals in water-level-fluctuation zone and bank showed the variation, and the concentration of soil heavy metals reduced in shallow soil, but increased in deep soil at water-level-fluctuation zone. However, the concentration of soil heavy metals reduced in both shallow and deep soil at bank during the same period. According to the geoaccumulation index,the pollution extent of heavy metals followed the order: Cd>Pb>Cu>Cr, Cd is the primary pollutant. FA and FA-MLR reveal that in soils from water-level-fluctuation zone, 75.60% of Pb originates from traffic, 62.03% of Cd is from agriculture, 64.71% of Cu and 75.36% of Cr are from natural rock. In soils from bank, 82.26% of Pb originates from traffic, 68.63% of Cd is from agriculture, 65.72% of Cu and 69.33% of Cr are from natural rock. In conclusion, FA-MLR can successfully identify source of heavy metal and compute source apportionment of heavy metals, meanwhile the transfer characteristic is revealed. All these information can be a reference for heavy metal pollution control.

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