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基于GIS和地统计学的稻田土壤养分与重金属空间变异性研究

[Spatial variability of nutrients and heavy metals in paddy field soils based on GIS and Geostatistics.].

作者信息

Yang Zhi Jiang, Chen Xiao Min, Jing Feng, Guo Bi Lin, Lin Gao Zhe

机构信息

College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China.

出版信息

Ying Yong Sheng Tai Xue Bao. 2018 Jun;29(6):1893-1901. doi: 10.13287/j.1001-9332.201806.036.

Abstract

Based on a grid (25 m X 25 m) equidistant sampling, the spatial variability of pH, organic matter, total nitrogen, available phosphorus, CEC and three typical heavy metal elements Cd, As and Pb in soil tillage layer (0-20 cm) were analyzed by using GIS and Geostatistics in the paddy field of 3.56 hm in Beishan Town, Changsha County, Hunan Province. The results showed that soil pH value and Pb content showed weak variation, and other indexes showed moderate variation. The order of variation was following available phosphorus > Cd > total nitrogen > organic matter > CEC > As > Pb > pH. Results of the semi-variance test showed that the best fitting model of the semi-variance function of organic matter, available phosphorus and As was exponential, and the best semi-variance function of pH, total nitrogen, CEC, Cd, Pb was spherical. All the indicators had a strong spatial correlation except for CEC, which showed moderate spatial correlation. Kriging interpolation analysis showed that pH, total nitrogen, CEC, Pb were plaque distribution, while organic matter, available phosphorus, Cd and As were block and banded distribution. Vegetation, topography and human activities were the main factors driving the variation of soil nutrients and heavy metals in the study area. The correlation between soil nutrients and heavy metals content was significant, among which pH and organic matter, Cd and Pb reached a very significant correlation level.

摘要

基于网格(25米×25米)等距采样,运用地理信息系统(GIS)和地统计学方法,对湖南省长沙县北山镇3.56公顷稻田耕作层(0 - 20厘米)土壤的pH值、有机质、全氮、有效磷、阳离子交换量(CEC)以及三种典型重金属元素镉(Cd)、砷(As)和铅(Pb)的空间变异性进行了分析。结果表明,土壤pH值和铅含量呈弱变异,其他指标呈中等变异。变异程度顺序为有效磷>镉>全氮>有机质>阳离子交换量>砷>铅>pH值。半方差检验结果显示,有机质、有效磷和砷的半方差函数最佳拟合模型为指数模型,pH值、全氮、阳离子交换量、镉、铅的最佳半方差函数为球状模型。除阳离子交换量呈中等空间相关性外,所有指标均具有较强的空间相关性。克里金插值分析表明,pH值、全氮、阳离子交换量、铅呈斑块状分布,而有机质、有效磷、镉和砷呈块状和带状分布。植被、地形和人类活动是研究区土壤养分和重金属变异的主要驱动因素。土壤养分与重金属含量之间的相关性显著,其中pH值与有机质、镉与铅达到极显著相关水平。

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