日照市土壤重金属来源解析及环境风险评价
Sources Identification and Hazardous Risk Delineation of Heavy Metals Contamination in Rizhao City
查看参考文献51篇
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文摘
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选择日照市的东港区和岚山区为研究区,采集了445个0~20cm表层土壤样品,并测定了10种重金属元素的含量;采用多元统计和地统计分析,揭示了研究区土壤重金属污染的主要来源以及与土地利用、成土母质之间的关系,绘制了重金属的环境风险概率的空间分布图。结果表明:①As、Co、Cr和Cu的平均值低于山东省东部地区土壤背景值,Cd、Hg、Mn、Ni、Pb和Zn的平均值高于背景值,尤其是Cd、Hg的含量分别为背景值的1.85和1.38倍,土壤中重金属累积较为明显。②10种元素可被辩识出4个主成分(PCs),PC1(Co、Cr、Mn、Ni和Zn)和PC3(As、Cu)为自然源因子,PC2(Cd、Pb)为工农业及交通源因子,PC4(Hg)为工业源因子;其中Pb、Zn在PC1和PC3上均有较大载荷,受地质背景和人类活动的共同控制。③Cd、Hg含量在不同的覆被类型有显著差异,在城镇建设用地的含量最高;Co、Cr、Cu、Mn和Ni在花岗岩和变质岩母质的含量高,与冲积与海积物母质有较大差异。④来自于同一主成分的元素及元素组合的环境风险空间格局与相应主成分插值结果基本一致,所有重金属综合环境风险的高值区在西部和东部呈点状分布,主要是由西部的高地质背景和东部的强烈人为干扰的综合作用造成的。 |
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其他语种文摘
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A total of 445 surface soils samples were collected at the nodes of a 2×2 km grid from Rizhao City and analyzed for 10 heavy metals (As, Cd, Co, Cr, Cu, Hg, Mn, Ni, Pb and Zn). Sources of heavy metals pollutant and the differences of contents among various land use types and parent material were revealed by multivariate analysis; meanwhile, spatial distribution of hazardous risk from heavy metals contamination was given by geostatistics based on GIS. The results are shown as follows. (1) The mean concentrations of As, Co, Cr and Cu were lower than the background values (BV) in eastern Shandong Province, respectively; but those of Cd, Hg, Mn, Ni, Pb and Zn exceeded the BV, especially for Cd and Hg (1.85 and 1.38 times of BV, respectively), indicating distinct accumulations of some heavy metals in soils of Rizhao City. (2) A total of 10 heavy metals could be classified as 4 Principal Components (PCs), including PC1 (Co, Cr, Mn, Ni and Zn), PC2 (Cd, Pb), PC3 (As, Cu), and PC4 (Hg). PC1 and PC3 were the factors dominated by natural sources, PC2 represented the factors from industrial, agricultural and traffic sources, and PC4 was contributed by industrial sources. Pb and Zn with a high load in different PCs might originate from the mixed sources including anthropogenic and natural sources. (3) There were significant differences in Cd and Hg contents among various land cover types with the highest level in urban areas. The concentrations of Co, Cr, Cu, Mn and Ni in the soils from weathered granite and metamorphic rock were all higher than those in the soils from alluvial and marine deposits. (4) The single element, elements integration and the corresponding PC presented similar spatial patterns of hazardous risk. The high risk regions with comprehensive assessment on all elements were located in densely-populated urban areas and western study area, which was attributed to the higher geological background in the western part and strong human interference in the eastern part. |
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来源
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地理学报
,2012,67(7):971-984 【核心库】
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关键词
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重金属风险
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多元统计
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指示克里格
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重金属来源解析
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日照市
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地址
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1.
南京大学, 海岸与海岛开发教育部重点实验室, 南京, 210093
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山东师范大学人口·资源与环境学院, 济南, 250014
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南京大学环境学院, 污染控制与资源化研究国家重点实验室, 南京, 210046
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山东省地质调查院, 济南, 250013
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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0375-5444 |
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学科
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环境污染及其防治;环境质量评价与环境监测 |
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基金
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国家自然科学基金项目
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山东省自然科学基金
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文献收藏号
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CSCD:4582930
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参考文献 共
51
共3页
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1.
Manta D S. Heavy metals in urban soils: A case study from the city of Palermo (Sicily), Italy.
Science of the Total Environment,2002,300:229-243
|
被引
146
次
|
|
|
|
|
2.
Elsebai T. Spatial variability of isoproturon mineralizing activity within an agricultural field: Geostatistical analysis of simple physicochemical and microbiological soil parameters.
Environmental Pollution,2007,145:680-690
|
被引
4
次
|
|
|
|
|
3.
Yalcin G M. Multivariate analyses to determine the origin of potentially harmful heavy metals in beach and dune sediments from Kizkalesi coast (Mersin), Turkey.
Bulletin of Environmental Contamination and Toxicology,2008,81:57-68
|
被引
18
次
|
|
|
|
|
4.
Salman S R. Multivariate and principal component statistical analysis of contamination in urban and agricultural soils from north Jordan.
Environmental Geology,1999,38:265-270
|
被引
4
次
|
|
|
|
|
5.
Inigo V. Multivariate statistical and GIS-based approach for the identification of Mn and Ni concentrations and spatial variability in soils of a humid Mediterranean environment: La Rioja, Spain.
Water, Air and Soil Pollution,2011,222:271-284
|
被引
5
次
|
|
|
|
|
6.
Liu W X. Multivariate statistical study of heavy metal enrichment in sediments of the Pearl River Estuary.
Environmental Pollution,2003,21:377-388
|
被引
49
次
|
|
|
|
|
7.
Qishlaqi A. Characterization of metal pollution in soils under two land use patterns in the Angouran region, Iran: A study based on multivariate data analysis.
Journal of Hazardous Material,2009,172:374-384
|
被引
19
次
|
|
|
|
|
8.
Zhang C. Identifying sources of soil inorganic pollutants on a regional scale using a multivariate statistical approach: Role of pollutant migration and soil physicochemical properties.
Environmental Pollution,2008,151:470-476
|
被引
4
次
|
|
|
|
|
9.
Sajn R. Assessment of the natural and anthropogenic sources of chemical elements in alluvial soils from the Drava River using multivariate statistical methods.
Journal of Geochemical Exploration,2011,110:278-289
|
被引
25
次
|
|
|
|
|
10.
Facchinelli A. Multivariate statistical and GIS-based approach to identify heavy metal sources in soils.
Environmental Pollution,2001,114:313-324
|
被引
287
次
|
|
|
|
|
11.
Boruvka L. Principal component analysis as a tool to indicate the origin of potentially toxic elements in soils.
Geoderma,2005,128:289-300
|
被引
87
次
|
|
|
|
|
12.
章明奎. 浙东海积平原农田土壤重金属来源辨识.
环境科学学报,2008,28(10):1946-1954
|
被引
37
次
|
|
|
|
|
13.
赵彦锋. 基于土壤学知识的主成分分析判断土壤重金属来源.
地理科学,2008,28(1):45-50
|
被引
35
次
|
|
|
|
|
14.
谢小进. 上海宝山区农用土壤重金属分布与来源分析.
环境科学,2010,31(3):768-774
|
被引
59
次
|
|
|
|
|
15.
Shine J P. Multivariate statistical examination of spatial and temporal patterns of heavy metal contamination in New Bedford Harbor marine sediments.
Environmental Science and Technology,1995,29:1781-1788
|
被引
15
次
|
|
|
|
|
16.
Imperato M. Spatial distribution of heavy metals in urban soils of Naples city (Italy).
Environmental Pollution,2003,124:247-255
|
被引
90
次
|
|
|
|
|
17.
郭朝晖. 湘江中下游农田土壤和蔬菜的重金属污染.
地理学报,2008,63(1):3-11
|
被引
100
次
|
|
|
|
|
18.
方淑波. 盐城海岸带土壤重金属潜在生态风险控制优先格局.
地理学报,2012,61(1):27-35
|
被引
27
次
|
|
|
|
|
19.
陈秀端. 西安市二环内表层土壤重金属空间分布特征.
地理学报,2011,66(9):1281-1288
|
被引
35
次
|
|
|
|
|
20.
Goovaerts P.
Geostatistics for Natural Resources Evaluation,1997
|
被引
151
次
|
|
|
|
|
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