日照市土壤重金属来源解析及环境风险评价

doi:10.11821/xb201207010

Abstract

Abstract: 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.

Key words: environmental risk of heavy metals, multivariate analysis, Indicator Kriging, heavy metals sources identification, Rizhao city

Lü Jianshu, ZHANG Zulu, LIU Yang, DAI Jeirui, WANG Xue, WANG Maoxiang. Sources Identification and Hazardous Risk Delineation of Heavy Metals Contamination in Rizhao City[J].Acta Geographica Sinica, 2012, 67(7): 971-984.

References

[1] Manta D S, Angelone M, Bellanca A et al. Heavy metals in urban soils: A case study from the city of Palermo (Sicily),Italy. Science of the Total Environment, 2002, 300: 229-243.

[2] Elsebai T, Lagacherie B, Soulas G et al. Spatial variability of isoproturon mineralizing activity within an agriculturalfield: Geostatistical analysis of simple physicochemical and microbiological soil parameters. Environmental Pollution,2007, 145: 680-690.

[3] Yalcin G M, Ilhan S. Multivariate analyses to determine the origin of potentially harmful heavy metals in beach anddune sediments from Kizkalesi coast (Mersin), Turkey. Bulletin of Environmental Contamination and Toxicology, 2008,81: 57-68.

[4] Salman S R, Aburuka Y H. Multivariate and principal component statistical analysis of contamination in urban andagricultural soils from north Jordan. Environmental Geology, 1999, 38: 265-270.

[5] Inigo V, Andrades M, Alonso-Martirena J I et al. Multivariate statistical and GIS-based approach for the identificationof 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.

[6] Liu W X, Lia X D, Shena Z G et al. Multivariate statistical study of heavy metal enrichment in sediments of the PearlRiver Estuary. Environmental Pollution, 2003, 21: 377-388.

[7] Qishlaqi A, Moore F, Forghani G. Characterization of metal pollution in soils under two land use patterns in theAngouran region, Iran: A study based on multivariate data analysis. Journal of Hazardous Material, 2009, 172: 374-384.

[8] Zhang C, Wu L, Luo Y et al. Identifying sources of soil inorganic pollutants on a regional scale using a multivariatestatistical approach: Role of pollutant migration and soil physicochemical properties. Environmental Pollution, 2008,151: 470-476.

[9] Sajn R, Halamic J, Peh Z et al. Assessment of the natural and anthropogenic sources of chemical elements in alluvialsoils from the Drava River using multivariate statistical methods. Journal of Geochemical Exploration, 2011, 110:278-289.

[10] Facchinelli A, Saechi E, Mallen L. Multivariate statistical and GIS-based approach to identify heavy metal sources insoils. Environmental Pollution, 2001, 114: 313-324.

[11] Boruvka L, Vacek O, Jehlicka J. Principal component analysis as a tool to indicate the origin of potentially toxicelements in soils. Geoderma, 2005, 128: 289-300.

[12] Zhang Mingkui, Wang Hao, Zhang Huimin. Distinguishing different sources of heavy metals in soils on the coastalplain of eastern Zhejiang Province. Acta Scientiae Circumstantiae, 2008, 28(10): 1946-1954. [章明奎, 王浩, 张慧敏.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.]

[13] Zhao Yanfeng, Guo Hengliang, Sun Zhiying et al. Principle component analyses based on soil knowledge as a tool toindicate origin of heavy metals in soils. Scientia Geographica Sinica, 2008, 28(1): 45-50. [赵彦锋, 郭恒亮, 孙志英等. 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.]

[14] Xie Xiaojin, Kang Jiancheng, Li Weijiang et al. Analysis on heavy metal concentrations in agricultural soils ofBaoshan, Shanghai. Environmental Science, 2010, 31(3): 768-774. [谢小进, 康建成, 李卫江等. 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.]

[15] Shine J P, Ika R V, Ford T E. Multivariate statistical examination of spatial and temporal patterns of heavy metalcontamination in New Bedford Harbor marine sediments. Environmental Science and Technology, 1995, 29:1781-1788.

[16] Imperato M, Adamo P, Naimo D et al. Spatial distribution of heavy metals in urban soils of Naples city (Italy).Environmental Pollution, 2003, 124: 247-255.

[17] Guo Zhaohui, Xiao Xiyuan, Chen Tongbin et al. Heavy metal pollution of soils and vegetables from midstream anddownstream of Xiangjiang River. Acta Geographica Sinica, 2008, 63(1): 3-11. [郭朝晖, 肖细元, 陈同斌等. 湘江中下流农田土壤和蔬菜的重金属污染. 地理学报, 2008, 63(1): 3-11.]

[18] Fang Shubo, Jia Xiaobo, An Shuqing et al. The priority pattern for managing the potential ecological risks associatedwith heavy metals of the top soil on Yancheng coast. Acta Geographica Sinica, 2012, 61(1): 27-35. [方淑波, 贾晓波,安树青等. 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.]

[19] Chen Xiuduan, Lu Xinwei, Zhao Caifeng et al. The spatial distribution of heavy metals in the urban topsoil collectedfrom the interior area of the Second Ring Road, Xi'an. Acta Geographica Sinica, 2011, 66(9): 1281-1288. [陈秀端, 卢新卫, 赵彩凤等. 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.]

[20] Goovaerts P. Geostatistics for Natural Resources Evaluation. Oxford: Oxford University Press, 1997.

[21] Smith J L, Halvorson J J, Papendick R I. Using multiple-variable indicator kriging for evaluating soil quality. SoilScience Society of America Journal. 1993, 57(3): 743-749.

[22] Oyedele D J, Amusan A A, Obi A O et al. The use of multiple-variable indicator kriging technique for assessment ofthe suitability of an acid soil for maize. Tropical Agriculture, 1996, 73(4): 259-263.

[23] Diodato N, Ceccarelli M. Multivariate indicator kriging approach using a GIS to classify soil degradation forMediterranean agricultural lands. Ecological Indicators, 2004, 4: 177-187.

[24] Lark R M, Ferguson R B. Mapping risk of soil nutrient deficiency or excess by disjunctive and indicator kriging.Geoderma, 2004, 118: 39-53.

[25] Eldeiry A A, Garcia L A M. Using indicator kriging technique for soil salinity and yield management. Journal ofIrrigation and Drainage Engineering, 2011, 137(2): 135-143.

[26] Odeh I O A, Onus A. Spatial analysis of soil salinity and soil structural stability in a semiarid region of New SouthWales, Australia. Environmental Management, 2008, 42: 265-278.

[27] Brus D J, Gruijter J J, Walvoort D J J et al. Mapping the probability of exceeding critical thresholds for cadmiumconcentrations in soils in the Netherlands. Journal of Environmental Quality, 2002, 31: 1875-1884.

[28] Lin Y P, Cheng B Y, Shyu G S et al. Combining a finite mixture distribution model with indicator kriging to delineateand map the spatial patterns of soil heavy metal pollution in Chunghua County, Central Taiwan. EnvironmentalPollution, 2010, 158(1): 235-244.

[29] Juang K W, Lee D Y. Simple Indicator Kriging for estimating the probability of incorrectly delineating hazardousareas in a contaminated site. Environmental Science and Technology, 1998, 32: 2487-2493.

[30] Van Meirvenne M, Goovaerts P. Evaluating the probability of exceeding a site-specific soil cadmium contaminationthreshold. Geoderma, 2001, 102: 75-100.

[31] Chu H J, Lin Y P, Jang C S. Delineating the hazard zone of multiple soil pollutants by multivariate indicator krigingand conditioned Latin hypercube sampling. Geoderma, 2010, 158: 242-251.

[32] Goovaerts P, Webster R, Dubois J P. Assessing the risk of soil contamination in the Swiss Jura using indicatorgeostatistics. Environmental and Ecological Statistics, 1997, 4(1): 31-48.

[33] Jang C S, Chen S K, Ching-Chieh L. Using multiple-variable indicator kriging to assess groundwater quality forirrigation in the aquifers of the Choushui River alluvial. Hydrological Processes, 2008, 22(2): 4477-4489.

[34] Adhikary P P, Dash C J, Bej R et al. Indicator and probability kriging methods for delineating Cu, Fe, and Mncontamination in groundwater of Najafgarh Block, Delhi, India. Environmental Monitoring and Assessment, 2011, 176:663-676.

[35] Zhou Zaiming, Zhang Guanghui, Wang Jinzhe et al. Risk assessment of soil salinity by multiple-variable indicatorkriging in the low plain around the Bohai Sea. Journal of Hydraulic Engineering, 2011, 42(10): 1144-1151. [周在明, 张光辉, 王金哲等. 环渤海低平原区土壤盐渍化风险的多元指示克立格评价. 水利学报, 2011, 42(10): 1144-1151.]

[36] Yang Qiyong, Yang Jingsong, Yu Shipeng. Evaluation on spatial distribution of soil salinity and soil organic matter byindicator kriging in Yucheng City. Acta Ecologica Sinica, 2011, 31(8): 2196-2202. [杨奇勇, 杨劲松, 余世鹏. 禹城市耕地土壤盐分与有机质的指示克里格分析. 生态学报, 2011, 31(8): 2196-2202.]

[37] Hakanson L. An ecological risk index for aquatic pollution control: A sedimentological approach. Water Research,1980, 14: 975-1001.

[38] Chen Jinghui, Lu Xinwei, Zhai Meng. Sources and potential risk of heavy metals in roadside soils of Xi'an City.Chinese Journal of Applied Ecology, 2011, 22(7): 1810-1816. [陈景辉, 卢新卫, 翟萌. 西安城市路边土壤重金属来源与潜在风险. 应用生态学报, 2011, 22(7): 1810-1816.]

[39] Liu Qing, Wang Jing, Wang Qinghua et al. Potential ecological risk assessment of heavy metal in soils based on GIS.Science of Surveying and Mapping, 2008, 33(3): 90-93. [刘庆, 王静, 汪庆华等. 基于GIS 的县域土壤重金属生态风险评价. 测绘科学, 2008, 33(3): 90-93.]

[40] GB15618-1995. Environmental Quality Standard for Soils. Beijing: Standards Press of China, 1997. [GB15618-1995.土壤环境质量标准. 北京: 中国标准出版社, 1997.]

[41] Dai Jierui, Pang Xugui, Yu Chao et al. Geochemical baselines and background values and element enrichmentcharacteristics in soils in eastern Shandong Province. Geochimica, 2011, 40(6): 577-587. [代杰瑞, 庞绪贵, 喻超等. 山东省东部地区土壤地球化学基准值与背景值及元素富集特征研究. 地球化学, 2011, 40(6): 577-587.]

[42] Ma Qun, Zhao Gengxing. Effects of different land use types on soil nutrients in intensive agricultural region. Journalof Natural Resources, 2010, 25(11): 1834-1843. [马群, 赵庚星. 集约农区不同土地利用方式对土壤养分状况的影响. 2010, 25(11): 1834-1843.]

[43] Cai Limei, Ma Jin, Zhou Yongzhang et al. Heavy metal concentrations of agricultural soils and vegetables fromDongguan, Guangdong Province, China. Acta Geographica Sinica, 2008, 63(9): 994-1003. [蔡立梅, 马瑾, 周永章等.东莞市农田土壤和蔬菜重金属的含量特征分析. 地理学报, 2008, 63(9): 994-1003.]

[44] Wang H Y, Lu S G. Spatial distribution, source identification and affecting factors of heavy metals contamination inurban-suburban soils of Lishui city, China. Environmental Earth Sciences, 2011, 64: 1921-1929.

[45] Zheng Yuanming, Luo Jinfa, Chen Tongbin et al. Cadmium accumulation in soils for different land uses in Beijing.Geographical Research, 2005, 24(4): 542-548. [郑袁明, 罗金发, 陈同斌等. 北京市不同土地利用类型的土壤镉含量特征. 地理研究, 2005, 24(4): 542-548.]

[46] Zheng Yuanming, Song Bo, Chen Tongbin et al. Zinc accumulation and pollution risk in soils under different land usetypes in Beijing. Journal of Natural Resources, 2006, 21(1): 64-72. [郑袁明, 宋波, 陈同斌等. 北京市不同土地利用方式下土壤锌的积累及其污染风险. 自然资源学报, 2006, 21(1): 64-72.]

[47] Zhao Shuping, Chen Lixin. Soil heavy content analysis and ecological risk assessment of different land use type inDaqing region. Journal of Soil and Water Conversation, 2011, 25(5): 195-199. [赵淑萍, 陈立新. 大庆地区不同土地利用类型土壤重金属分析及生态危害评价. 水土保持学报, 2011, 25(5): 195-199.]

[48] Amini M, Afyuni M, Khademi H et al. Mapping risk of cadmium and lead contamination to human health in soils ofCentral Iran. Science of the Total Environment, 2005, 347: 64-77.

[49] Zhao Y C, Wang Z G, Sun W X et al. Spatial interrelations and multi-scale sources of soil heavy metal variability in atypical urban-rural transition area in Yangtze River Delta region of China. Geoderma, 2010, 156: 216-227.

[50] Rizhao Municipal Bureau of Statistics. Rizhao Statistical Yearbook in 2010. Beijing: China Statistics Press, 2010. [日照市统计局. 日照市统计年鉴(2010). 北京: 中国统计出版社, 2010.]

[51] Wang Guanyu, Pan Mao, Liu Xida et al. On the relationship between the concentrations of elements in soil and typesof soil-forming parent material in Shandong Province, China. Acta Scientiarum Naturalium Universitatis Pekinensis,1992, 28(4): 475-485. [王关玉, 潘懋, 刘锡大等. 山东省土壤中元素含量与母质的关系. 北京大学学报: 自然科学版, 1992, 28(4): 475-485.]

Sources Identification and Hazardous Risk Delineation of Heavy Metals Contamination in Rizhao City

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