Jie-liang Cheng, Zhou Shi, You-Wei Zhu
Institute ofAgricultural Remote Sensing and Information System, Zhejiang University, Hangzhou 310029, China.
J Environ Sci (China). 2007;19(1):50-4. doi: 10.1016/s1001-0742(07)60008-4.
Heavy metal concentrations in agricultural soils of Zhejiang Province were monitored to indicate the status of heavy metal contamination and assess environmental quality of agricultural soils. A total of 908 soil samples were collected from 38 counties in Zhejiang Province and eight heavy metal (Cd, Cr, Pb, Hg, Cu, Zn, Ni and As) concentrations had been evaluated in agricultural soil. It was found 775 samples were unpolluted and 133 samples were slightly polluted and more respectively, that is approximately 14.65% agricultural soil samples had the heavy metal concentration above the threshold level in this province by means of Nemerow's synthetical pollution index method according to the second grade of Standards for Soil Environmental Quality of China (GB15618-1995). Contamination of Cd was the highest, followed by Ni, As and Zn were lower correspondingly. Moreover, Inverse Distance Weighted (IDW) interpolation method was used to make an assessment map of soil environmental quality based on the Nemerow's pollution index and the soil environmental quality was categorized into five grades. Moreover, ten indices were calculated as input parameters for principal component analysis (PCA) and the principal components (PCs) were created to compare environmental quality of different soils and regions. The results revealed that environmental quality of tea soils was better than that of paddy soils, vegetable soils and fruit soils. This study indicated that GIS combined with multivariate statistical approaches proved to be effective and powerful tool in the mapping of soil contamination distribution and the assessment of soil environmental quality on provincial scale, which is beneficial to environmental protection and management decision-making by local government.
对浙江省农业土壤中的重金属含量进行监测,以指示重金属污染状况并评估农业土壤的环境质量。共采集了浙江省38个县的908份土壤样本,并对农业土壤中的8种重金属(镉、铬、铅、汞、铜、锌、镍和砷)含量进行了评估。根据中国土壤环境质量标准二级(GB15618 - 1995),采用内梅罗综合污染指数法发现,该省约14.65%的农业土壤样本重金属含量超过阈值水平,其中775份样本未受污染,133份样本分别受到轻度污染等。镉的污染最为严重,其次是镍,砷和锌的污染相对较低。此外,利用反距离加权(IDW)插值法,基于内梅罗污染指数制作了土壤环境质量评估图,并将土壤环境质量分为五个等级。此外,计算了十个指标作为主成分分析(PCA)的输入参数,并创建了主成分以比较不同土壤和地区的环境质量。结果表明,茶园土壤的环境质量优于稻田土壤、蔬菜地土壤和果园土壤。本研究表明,地理信息系统(GIS)与多元统计方法相结合,在省级尺度上绘制土壤污染分布图和评估土壤环境质量方面是一种有效且强大的工具,有利于地方政府的环境保护和管理决策。