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Study on the Evaluation of Heavy Metal Pollution in Soil of Tea Plantations in Karst Mountain Areas Based on GIS

机译：基于GIS的喀斯特山区茶园土壤土壤重金属污染评价研究

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摘要

To understand the soil environment quality of tea producing region in Plateau Mountainous area, the evaluation model of heavy metals pollution in soil was built by adopting both the single pollution index method and Nemerow multi-factor index method combined with ArcGIS Geostatistical Analyst and Model Builder Geoprocessing, which realized the modeling and automation of the soil environment quality. The content levels and spatial distribution characteristics of heavy metals such as Hg, As, Cd, Pb and Cr were analyzed though choosing typical research area. The results showed that Nemerow multi-factor index was 0.502, belonging to clear level and all the mean values of soil heavy metal elements belonged to clear level. The coefficient variation of Pb was the biggest, which indicated that the external pollution was remarkable. The correlation coefficient of Cd and Pb was the biggest, presenting a character of the same source of pollution. The high content of Cd was distributed in the north. There were different degrees of point source pollution of heavy metals in parts of the east, north and west, and there was no soil heavy metals pollution in the south.
机译：要了解高原山区茶叶产区的土壤环境质量，采用单污染指数法和Nemerow多因素指数法，建立了土壤重金属污染评价模型，采用ArcGIS地质统计分析师和模型制造商地理处理，这实现了土壤环境质量的建模和自动化。分析了Hg，如CD，Pb和Cr等重金属的含量水平和空间分布特性，虽然选择了典型的研究区。结果表明，Nemerow多因素指数为0.502，属于透明水平，土壤重金属元素的所有平均值属于清晰水平。 PB的系数变异是最大的，表明外部污染显着。 CD和Pb的相关系数是最大的，呈现相同污染源的特征。高含量的CD分布在北部。东部，北部和西部的部分地区有不同程度的重金属污染，南部没有土壤重金属污染。

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