地球科学进展 ›› 2008, Vol. 23 ›› Issue (5): 509 -516. doi: 10.11867/j.issn.1001-8166.2008.05.0509

环境地质 上一篇    下一篇

矿山环境土壤重金属污染潜在生态风险评价模型探讨
李泽琴 1,2,侯佳渝 3,王奖臻 1   
  1. 1.成都理工大学地质灾害防治与地质环境保护国家重点实验室,四川 成都 610059;2.成都理工大学地学核技术应用开发四川省重点实验室,四川 成都610059;
    3.天津市地质调查研究院,天津 300191
  • 收稿日期:2008-04-12 修回日期:2008-04-14 出版日期:2008-05-10
  • 通讯作者: 李泽琴 E-mail:zeqinlee@gmail.com
  • 基金资助:

    国家自然科学基金项目“川滇交界地区MVT铅锌矿床二元流体混合成矿机制研究”(编号:40172039);环境地球化学国家重点实验室基金项目“贱金属矿床矿山环境中酸性水的形成对重金属元素的释放与迁移研究”(编号:SKLEG5010)资助.

Potential Ecological Risk Assessment Model for Heavy Metal Contamination of Agricultural Soils in Mining Areas

Li Zeqin 1,2,Hou Jiayu 3,Wang Jiangzhen 1   

  1. 1.State Key Laboratory of Geohazard Prevention and Geoenvironment Protection,Chengdu University of Technology,Chengdu 610059,China; 2.Sichuan Provincial Key Laboratory of Applied Nuclear Techniques in Geosciences,Chengdu University of Technology,Chengdu 610059,China; 3.Tianjin Institute of Geological Survey,Tianjin 300191,China
  • Received:2008-04-12 Revised:2008-04-14 Online:2008-05-10 Published:2008-05-10

Weeks(2005)提出有关土壤污染的生态风险“层叠式 (Tiered approach)”评价框架,有关各层次的评价技术是当前环境科学研究的热点。针对矿山环境土壤重金属污染生态风险特征,提出矿山环境土壤重金属污染潜在生态风险评价模型,属于Tire 1层次评价模型。根据矿山环境土壤重金属污染生态风险特征,遵循生态风险评价中的熵原理和证据权重原则,用土壤中重金属的浓度风险表征污染指数(Cif);以其环境生物可利用性表征毒性响应系数(Tib),以对污染指数进行修正;以重金属元素的生物毒性响应因子(Tie)为权重,提出矿山环境土壤重金属污染潜在生态风险评价模型:RI=∑mi=1Eri其中,Eri= Tie×Tib×CifRI表示土壤中多种重金属潜在生态风险指数;Eri为元素i的潜在风险因子;Cif=Ci/CioCi为土壤中重金属浓度实测值,Cio为计算所需要的参照值。Tib=(Rib/ Pib1/2,Rib为样品中某元素生物可利用相态占总含量的百分比,Pib为参照土壤的相应比值。

The aim of this work was to develop a potential ecological risk index to be used as a diagnostic tool for heavy metal contaminated agricultural soils control purposes in mining areas. Taking consideration that the main-road for ecological risk of heavy metal contamination of soil is soil-vegetation-man. The environmental bioavailability largely determines the environmental impact of metal contaminated soils. Using environmental bioavailability explain the environmental toxicity sensitivity of the heavy metals in the soil-vegetation-man ecological system. The model is following: RI=∑mi=1Eri, with Eri= Tie×Tib×Cif. RI= the requested potential ecological risk index for soil; Eri = the potential ecological risk factor for the given substance (i); Cif= the degree of contamination, Cif=Ci/Cio , Ci= the metal concentration in the soil, Cio= the metal concentration for samples from referring area; Tie= the element toxic-response factor for the given substance: Zn=1, Pb=4, Cd=15, Cu=2, Cr=11, Ni=3. Tib=(Rib / Pib1/2; Tib=the environment bioavailbability ratio factor, Tib =(Rib / Pib1/2, Rib =[water soluble fraction + exchangeable fraction/total concentration of the metal in soil](100%] for the samples of contaminated soil, Pib=[water soluble fraction + exchangeable fraction/total concentration of the metal in soil]×100%] for samples from referring area.

中图分类号: 

[1] Zhu LinTong Yujie. Case research and issue discussion of ecological risk [J]. Journal of Safety & Environment200333: 22-24.[朱琳,佟玉洁.中国生态风 险评价应用探讨[J].安全与环境学报,200333: 22-24.]

[2] Weeks J MComber S D W. Ecological risk assessment of contaminated soil [J]. Mineralogical Magazine2005695: 601-613.

[3] Critto ATorresan SSemenzin Eet al. Development of a site-specific ecological risk assessment for contaminated sites: Part I. A multi-criteria based system for the selection of ecotoxicological tests and ecological observations [J]. The Science of the Total Environment20073791: 16-33.

[4] Semenzin ECrittoACarlon Cet al. Development of a site-specific Ecological Risk Assessment for contaminated sites: Part II. A multi-criteria based system for the selection of bioavailability assessment tools [J]. The Science of the Total Environment20073791: 34-45.

[5] Antunes S CCastro B BPereira Ret al. Contribution for tier 1 of the ecological risk assessment of Cunha Baixa uranium mineCentral Portugal: II. Soil ecotoxicological screening [J]. The Science of the Total Environment20083902/3: 387-395.

[6] Pereira RAntunes C SMarques S Met al. Contribution for tier 1 of the ecological risk assessment of Cunha Baixa uranium mineCentral Portugal: I Soil chemical characterization [J]. The Science of the Total Environment20083902/3: 377-386.

[7] Almut Heinrich. Heavy metals in soilcrops and grass as a source of human exposure in the former mining areas [J]. Journal of Soils and Sediments200664: 215-220.

[8] Lim HyesookLee JinsooChon Hyotaeket al. Heavy metal contamination and health risk assessment in the vicinity of the abandoned songcheon AuAg mine in Korea [J]. Journal of Geochemical Exploration2008962/3: 223-230.

[9] Sipter ERózsa EGruiz Ket al. Site-specific risk assessment in contaminated vegetable gardens [J]. Chemosphere2008717:1 301-1 307.

[10] Li YuWang YanbinGou Xinet al. Risk assessment of heavy metals in soils and vegetables around non-ferrous metals mining and smelting sitesBaiyinChina [J]. Journal of Environmental Sciences2006186: 1 124-1 134.

[11] Roussel CN'eela CBrila H. Minerals controlling arsenic and lead solubility in an abandoned gold mine tailings [J]. The Science of the Total Environment20002631/3:209-219.

[12] Garcia GPeñas J MManteca J I. Manteca Zn mobility and geochemistry in surface sulfide mining soils from SE Spain [J]. Environmental Research20081063: 333-339.

[13] Maiz IArambarri IGarcia R. Evaluation of heavy metal availability in polluted soils by two sequential extraction procedures using factor analysis [J]. Environmental Pollution20001101: 3-9.

[14] Remon E EBouc J LHardonet al. Soil characteristicsheavy metal availability and vegetation recovery at a former metallurgical landfill: Lmplications in risk assessment and site restoration [J]. Environmental Pollution20051372:316-323.

[15] Hobbelen P H FKoolhaas J EGestel C A M. Risk assessment of heavy metal pollution for detritivores in floodplain soils in the BiesboschThe Netherlandstaking bioavailability into account [J]. Environmental Pollution20041293: 409-419.

[16] Megharaj K MSethunathan NNaidu R. Bioavailability and toxicity of cadmium to microorganisms and their activities in soil: A review [J]. Advances in Environmental Research200384: 121-135.

[17] Willie J G MPeijnenburg JBaerselman Bet al. Relating environmental availability to bioavailability: Soil-type-dependent metal accumulation in the oligochaete Eisenia Andrei [J]. Ecotoxicology and Environmental Safety1999443: 294-310.

[18] Meers ESamson RTack F M Get al. Phytoavailability assessment of heavy metals in soils by single extractions and accumulation by Phaseolus vulgaris [J]. Environmental and Experimental Botany2007603: 385-396.

[19] Caussy DGochfeld MGurzau Eet al. Lessons from case studies of metals:Investigating exposurebioavailabilityand risk [J]. Ecotoxicology and Environmental Safety2003561:45-51.

[20] Lei MingLiao BohanQin Pufeng. Assessment of bioavailability of heavy metal in contaminated soils with chemical fractionation [J]. Ecology and Environment2007165:1 551-1 556.[雷鸣,廖柏寒,秦普丰.土壤重金属化学形态的生物可利用性评价[J]. 生态环境, 2007165: 1 551-1 556.]

[21] Smeda AZyrnicki W. Application of sequential extraction and the ICP-AES method for study of the partitioning of metals in fly ashes [J]. Microchemical Journal2002721:9-16.

[22] Tessier ACampbell P G CBisson M. Sequential extraction procedure for the speciation of particulate trace metals [J]. Analytical Chemistry197951:844-851.

[23] Dold B.Speciation of the most soluble phases in a sequential extraction procedure adapted for geochemical studies of copper sulfide mine waste [J]. Journal of Geochemical Exploration2003801: 55-68.

[24] Ure A MQuevauviller PMuntau Het al. Speciation of heavy metals in soils and sediments. An account of the improvement and harmonization of extraction techniques undertaken under the auspices of the BCR of the commission of the European Communities [J]. International Journal of Environmental Analytical Chemistry1993511/4: 135-151.

[25] Voegelin ABarmettler KKretzschmar R. Heavy metals in the environment heavy metal release from contaminated soils comparison of column leaching and batch extraction results [J]. Journal of Environmental Quality200332:865-875.

[26] Guo PingXie ZhongleiLi Junet al. Heavy metal pollution and the ecological hazard in urban soils of Changchun city [J]. Sientia Georaphica Sinica2005251: 108-112.[郭平,谢忠雷,李军,等.长春市土壤重金属污染特征及其潜在生态风险评价[J]. 地理科学,2005251: 108-112.

[27] Zhong XiaolanZhou ShengluZhao Qiguo. Spatial characteristics and potential ecological risk of soil heavy metals contamina tion in the Yangtze river delta—A case study of Taicang cityJiangsu province [J]. Journal of Agro-Enviroment Science200625suppl.: 575-578. [钟晓兰,周生路,赵其国. 长江三角洲地区土壤重金属污染特征及潜在生态风险评价——以江苏太仓市为例[J].农业环境科学学报,200625(增刊): 575-578.]

[28] Grytsyuk NArapis GPerepelyatnikova Let al. Heavy metals effects on forage crops yields and estimation of elements accumulation in plants as affected by soil [J]. Science of the Total Environment20063542/3: 224-231.

[29] Hakanson L. An ecological rik index for aquatic controla sedimentological approach [J]. Water Research198014: 975-1 001.

 

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