Abstract
In this paper, evaluation of southeastern guizhou province some important tea-producing county soil heavy metal pollution adopts Nemerow Pollution Index, Yao Index and Mixed Weighted Model of three different composite index methods, and compares the suitability of three methods. Nemerow Pollution Index adopts arithmetic mean of subindex to improve the contribution rate of the most polluted elements and undermines the contribution of each partial effect on comprehensive pollution. Yao Index uses the ratio of index of the maximum and arithmetic mean value as weight, and diminishes the status of the serverest pollution index. But it ignored the partial contribution to the effect of comprehensive pollution. Mixed Weighted Model has good sensitivity, and it can better differentiate the degree of soil heavy metal pollution and reflect the real situation of soil environmental quality. According to the calculation results of three different comprehensive index methods, the analysis results of soil heavy metals comprehensive pollution index are obtained by Geographic Information Systems and IDW. Results show that high concentrations of heavy metals in the east and northeast of the study area.
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References
Wang, B., Chen, L.: Review on methods of soil quality evaluation. Soil Water Conserv. Sci. China 4(2), 120–126 (2006)
Zhong, X., Zhou, S., Zhao, Q.: Spatial characteristics and potential ecological risk of soil heavy metals contamination in the Yangtze river delta a case study of Taicang city, Jiangsu province. Geoscience 27(3), 395–400 (2007)
Chunhua, H., Jiang, J., Zhou, W.: Risk evaluation and sources analysis of heavy metals in vegetable field soil of rural area around Poyang lake. Geoscience 32(6), 771–776 (2012)
Krishna, A.K., Mohan, K.R., Murthy, N.N., et al.: Assessment of heavy metal contamination in soils around chromite mining areas, Nuggihalli, Karnataka, India. Environ. Earth Sci. 70(2), 699–708 (2013)
Okedeyi, O.O., Dube, S., Awofolu, O.R., et al.: Assessing the enrichment of heavy metals in surface soil and plant (digitaria eriantha) around coal-fired power plants in South Africa. Environ. Sci. Pollut. Res. 21(6), 4686–4696 (2014)
Fan, S., Gan, Z., Li, M.: Progress of assessment methods of heavy metal pollution in soil. Chin. Agric. Sci. Bull. 26(17), 310–315 (2010)
Ge, W., Jianping, W., Mei, X.: GIS of comprehensively environmental evaluation in Pudong new area. Remote Sens. Technol. Appl. 15(3), 189–193 (2000)
Li, S., Cao, G., Shi, P., et al.: Status quo and evaluation of the spatial distribution of heavy metals in urban soil of Qingdao city. J. Ecol. Rural Environ. 1, 112–117 (2015)
Youning, X., Ke, H., Zhao, A., et al.: Assessment of heavy metals contamination of farmland soils in some gold mining area of Xiao Qinling. J. Soil Sci. 38(4), 732–736 (2007)
Yang, Y., Shi, X., Zhang, C.: Spatial distribution an evaluation of heavy metal pollution of reclaiming village based on nemerow integrated pollution index method. Res. Soil Water Conserv. 4, 059 (2016)
Liu, Y., Zhang, L., Han, X., et al.: Spatial variability and evaluation of soil heavy metal contamination in the urban-transect of shanghai. Environ. Sci. 33(2), 599–605 (2012)
Acknowledgments
In this paper, the research was sponsored by Science and technology plan of Guizhou province Mountain high efficiency agriculture industrial park development and application of intelligent management system based on Beidou satellite (GY[2015] No. 3001); Major science and technology projects in Guizhou Province Study and Application on the quality safety evaluation, detection and traceable key technologies of tea and vegetables in Guizhou province ([2013] No. 6024); Major applied basic research project of Guizhou Province Study on the ecological restoration and optimal control of eco-economic system of Karst rocky desertification (JZ[2014] No. 20020-1); Science and technology plan of Guizhou province The research and countermeasures of heavy metal content and the tea garden soil heavy metals in Guizhou province (SY[2011] No. 3092).
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Niu, Y., Zhou, Z., Huang, D., Yuan, X. (2017). Application of Different Composite Index Methods in the Evaluation of Soil Heavy Metal Pollution. In: Yuan, H., Geng, J., Bian, F. (eds) Geo-Spatial Knowledge and Intelligence. GRMSE 2016. Communications in Computer and Information Science, vol 699. Springer, Singapore. https://doi.org/10.1007/978-981-10-3969-0_6
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DOI: https://doi.org/10.1007/978-981-10-3969-0_6
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