陈云飞,曾妍妍,周金龙,王松涛,杜江岩,刘延锋.新疆于田县绿洲区土壤重金属空间分布特征与影响因素[J].农业机械学报,2019,50(4):263-273.
CHEN Yunfei,ZENG Yanyan,ZHOU Jinlong,WANG Songtao,DU Jiangyan,LIU Yanfeng.Spatial Distribution Characteristics and Influence Factors of Soil Heavy Metal Contents in Oasis Area of Yutian County, Xinjiang[J].Transactions of the Chinese Society for Agricultural Machinery,2019,50(4):263-273.
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新疆于田县绿洲区土壤重金属空间分布特征与影响因素   [下载全文]
Spatial Distribution Characteristics and Influence Factors of Soil Heavy Metal Contents in Oasis Area of Yutian County, Xinjiang   [Download Pdf][in English]
投稿时间:2018-10-29  
DOI:10.6041/j.issn.1000-1298.2019.04.030
中文关键词:  土壤重金属  变异函数  自相关  空间分布特征  新疆于田县
基金项目:中国地质调查局中央返还两权款资金项目(S15-1-LQ)
作者单位
陈云飞 新疆农业大学 
曾妍妍 新疆农业大学 
周金龙 新疆农业大学 
王松涛 新疆维吾尔自治区地质矿产勘查开发局 
杜江岩 新疆维吾尔自治区地质矿产勘查开发局 
刘延锋 中国地质大学(武汉) 
中文摘要:以新疆于田县绿洲区为研究区,对1165组表层土壤样品的重金属元素含量进行测定。通过综合运用多元统计分析、地统计学、空间自相关理论、空间分析和GIS技术相结合的方法,对研究区土壤重金属含量和空间分布特征及影响因素进行分析。结果表明:1165组土壤采样点中,有3个取样点超过风险筛选值,非农用地土壤重金属元素含量均值均低于新疆土壤背景值,农用地中Cd、Hg、Cr含量均值大于新疆土壤背景值;Cd、Pb的变异函数理论模型为指数模型,Hg、As、Cr、Cu、Ni、Zn的变异函数理论模型为球状模型,Cd块金系数小于25%,说明Cd有较强的空间相关性,其他元素块金系数介于25%~50%之间,有明显的空间相关性;土壤重金属空间自相关莫兰指数均大于0。县域尺度内,土壤重金属具有一定的空间正相关分布,其空间分布格局总体呈从研究区中心向四周含量逐渐减小的趋势。土壤重金属元素含量在不同成土母质、土壤类型和土地利用类型下呈现的分布特征不同。Hg、As、Pb、Cr、Cu、Ni、Zn具有相同的来源,其含量还受土壤质地的影响。
CHEN Yunfei  ZENG Yanyan  ZHOU Jinlong  WANG Songtao  DU Jiangyan  LIU Yanfeng
Xinjiang Agricultural University,Xinjiang Agricultural University,Xinjiang Agricultural University,Xinjiang Bureau of Geology and Mineral Resources Exploration and Development,Xinjiang Bureau of Geology and Mineral Resources Exploration and Development and China University of Geosciences
Key Words:soil heavy metals  variogram  autocorrelation  spatial distribution characteristics  Yutian County, Xinjiang
Abstract:Totally 1165 surface soil samples for heavy metal analysis were collected in oasis area of Yutian County, Xinjiang. Spatial distribution and influence factors of heavy metal elements in soils in the study area were analyzed by means of multivariate statistical analysis, geostatistics, spatial autocorrelation, spatial analysis and GIS technology. Results showed that among 1165 soil samples, three of which had As contents greater than the risk screening values. Average contents of heavy metal elements in non agricultural lands were lower than that of soil background values in Xinjiang. Average values of Cd, Hg and Cr contents in agricultural land were greater than that of soil background values in Xinjiang. The theoretical models for variation function of Cd and PB were exponential model, while the theoretical models for variation function of Hg, As, Cr, Cu, Ni and Zn were spherical model. Nugget value of Cd was less than 25%, indicated a relatively strong spatial correlation. Nugget value of other elements ranged between 25% and 50%, indicated significant spatial correlations. As for soil heavy metals, the Moran’s I indexes of spatial autocorrelation were greater than 0. There was a positive spatial correlation distribution of soil heavy metal elements in the county scale. And the spatial distribution of soil heavy metal contents in oasis area of Yutian County showed a general decreasing trend from the center of the study area to surrounding areas. Distribution of soil heavy metal contents in the Yutian County varied in different parent materials, soil types and land use patterns. Hg, As, Pb, Cr, Cu, Ni and Zn in soils derived from the same source. However, the contents were affected by soil texture as well.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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