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山东省典型金矿区土壤重金属空间特征分析与环境风险评估
引用本文:王菲,吴泉源,吕建树,董玉龙,曹文涛,康日斐,曹见飞.山东省典型金矿区土壤重金属空间特征分析与环境风险评估[J].环境科学,2016,37(8):3144-3150.
作者姓名:王菲  吴泉源  吕建树  董玉龙  曹文涛  康日斐  曹见飞
作者单位:山东师范大学地理与环境学院, 济南 250014,山东师范大学地理与环境学院, 济南 250014,山东师范大学地理与环境学院, 济南 250014,山东省地质环境监测总站, 济南 250014,山东师范大学地理与环境学院, 济南 250014,山东师范大学地理与环境学院, 济南 250014,山东师范大学地理与环境学院, 济南 250014
基金项目:国家自然科学基金项目(41371395);龙口矿区及周边海岸带遥感监测研究项目(鲁勘字[2012]110号);山东省焦家金成矿区及周边矿区环境地质遥感调查研究项目(鲁勘字[2013]141号);黄河三角洲高效生态经济区(潍坊)海咸水入侵调查与监控预警系统建设项目(鲁勘字[2011]14号);山东师范大学青年培育基金项目
摘    要:以山东省典型金矿区——焦家式金矿带为研究区,系统采集了77个表层土壤样品并对Cu、Pb、Zn和Cr的含量进行了测定;采用空间统计分析方法对重金属的空间变异结构、分布规律及潜在污染风险进行了研究.Cu、Pb、Zn和Cr的平均含量分别为19.41、27.32、49.81和39.27 mg·kg-1.半方差函数拟合表明Cu和Pb属于中等空间自相关,空间分布呈岛状;而Zn和Cr为结构性空间变异,受自然因素的控制,空间分布呈带状和岛状.热点分析与指示克里金插值结果表明,金城镇、辛庄镇与蚕庄镇的交界地带重金属环境风险较高,南部则为安全区,其中Pb的超标概率最大且中高风险区分布范围广泛.研究结果可为研究区土壤重金属污染评价和调控提供参考和依据.

关 键 词:土壤重金属  空间变异  热点分析  指示克里金  环境风险
收稿时间:2016/3/30 0:00:00
修稿时间:5/4/2016 12:00:00 AM

Spatial Characteristics and Environmental Risk of Heavy Metals in Typical Gold Mining Area of Shandong Province
WANG Fei,WU Quan-yuan,L&#; Jian-shu,DONG Yu-long,CAO Wen-tao,KANG Ri-fei and CAO Jian-fei.Spatial Characteristics and Environmental Risk of Heavy Metals in Typical Gold Mining Area of Shandong Province[J].Chinese Journal of Environmental Science,2016,37(8):3144-3150.
Authors:WANG Fei  WU Quan-yuan  L&#; Jian-shu  DONG Yu-long  CAO Wen-tao  KANG Ri-fei and CAO Jian-fei
Institution:College of Geography and Environment, Shandong Normal University, Ji''nan 250014, China,College of Geography and Environment, Shandong Normal University, Ji''nan 250014, China,College of Geography and Environment, Shandong Normal University, Ji''nan 250014, China,Geological Environmental Monitoring Station of Shandong Province, Ji''nan 250014, China,College of Geography and Environment, Shandong Normal University, Ji''nan 250014, China,College of Geography and Environment, Shandong Normal University, Ji''nan 250014, China and College of Geography and Environment, Shandong Normal University, Ji''nan 250014, China
Abstract:In order to reveal the influence of anthropogenic factors on soil environment quality, a total of seventy-seven samples in topsoils were collected from Jiaojia gold mining area in Shandong province and were determined for Cu, Pb, Zn, Cr contents. Spatial structure, spatial distributions of concentrations and risk probability of heavy metals were analyzed using spatial statistic analysis. The average concentrations of Cu, Pb, Zn and Cr were 19.41 mg·kg-1, 27.32 mg·kg-1, 49.81 mg·kg-1 and 39.27 mg·kg-1, respectively. Pb, Zn and Cr were distributed normally and Cu was distributed normally after logarithm transformation. Semivariance analysis demostrated that Pb could be fitted to exponential model, and Cu, Zn and Cr were fit for spherical model. Nugget coefficents of Cu and Pb were between 0.25 and 0.75, which illustrated middle spatial autocorrelation; Zn and Cr showed the structural variation with nugget values below 0.25. Cu and Pb in the topsoils were distributed dispersedly due to effects of some human factors, whereas contents of Zn and Cr indicated relatively regular distributions and were mainly affected by natural factors. Spatial distributions of the 4 heavy metals were approximately consisitent and the high value areas appeared in the gold mines band. The result of hot spot analysis and indicator kriging interpolation revealed that the relatively high risk areas were located in Jincheng town, the boundary zone of Xinzhuang town and Canzhuang town, while the safe zone was situated in south part of the study area. Pb had higher probability exceeding the threshold and the middle or high environmental risk areas of Pb were distributed widely, which should be paid more attentions.
Keywords:heavy metals in soils  spatial variability  hotspot analysis  indicator kriging  environmental risk
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