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东南沿海温岭地区土壤-水稻系统中铜的浓度及其形态的空间变化。

Spatial variations of concentrations of copper and its speciation in the soil-rice system in Wenling of southeastern China.

机构信息

School of Environmental and Resource Sciences, Zhejiang A&F University, Lin'an, 311300, China.

出版信息

Environ Sci Pollut Res Int. 2014;21(11):7165-76. doi: 10.1007/s11356-014-2638-9. Epub 2014 Feb 25.

Abstract

Copper (Cu) is one of the essential elements for plant growth, while excessive Cu in soils has potential environmental risks. There is little information on spatial variation of Cu in practical paddy fields. This is now important for appropriate agricultural management. The spatial patterns of Cu, its fractions in soils, and its concentrations in rice were investigated in a typical rice production region-Wenling of southeastern China. A total of 96 pairs of rice grain and soil samples (0-15 cm) were collected. The total concentration of Cu and its fractions were very variable, with large skewness, kurtosis, and coefficient of variation (CV) values. Compared to the guideline value (50 mg kg(-1)), Cu pollution in paddy fields was observed in the study area. All the measured Cu concentrations in rice were lower than 10 mg kg(-1), suggesting that they remained at a safe level. Spatial analyses including Moran's I index and geostatistics results indicated that high-high spatial patterns for both Cu in soils and rice were found in the northwest part, which was mainly related to industrial and E-waste dismantling activities. The low-low spatial patterns of Cu in the soil-rice system were located in the south part of study area. The cross-correlogram results indicated that Cu concentration in rice was significantly spatially correlated with total Cu in soils, its fractions, and soil organic matter (SOM), but significantly negatively correlated with pH and electrical conductivity (EC). Most of the selected variables had a clear spatial correlation range with Cu in rice. The ranges of significant spatial correlation (p < 0.05) could be obtained and further used for dividing agricultural management zones.

摘要

铜(Cu)是植物生长的必需元素之一,而土壤中过量的铜则具有潜在的环境风险。关于实际稻田中 Cu 的空间变化,信息很少。这对于适当的农业管理现在很重要。本研究在典型的水稻生产区——中国东南部的温岭,调查了 Cu 的空间格局、土壤中的 Cu 形态及其在水稻中的浓度。共采集了 96 对水稻籽粒和土壤样品(0-15 cm)。Cu 的总浓度及其形态变化很大,偏度、峰度和变异系数(CV)值很大。与指导值(50 mg kg(-1))相比,研究区稻田存在 Cu 污染。所有测量的水稻 Cu 浓度均低于 10 mg kg(-1),表明其仍处于安全水平。空间分析包括 Moran's I 指数和地统计学结果表明,西北部分布着高-高空间模式,这主要与工业和电子废物拆解活动有关。研究区南部分布着低-低空间模式的土壤-水稻系统中的 Cu。交叉相关图结果表明,水稻中 Cu 浓度与土壤中总 Cu、Cu 形态及其土壤有机质(SOM)显著空间相关,但与 pH 和电导率(EC)显著负相关。所选变量中的大部分与水稻中的 Cu 具有明显的空间相关性。可以获得显著空间相关(p < 0.05)的范围,并进一步用于划分农业管理区。

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