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首页> 外文期刊>Journal of Geochemical Exploration: Journal of the Association of Exploration Geochemists >Predicting spatial and temporal variation of Cd concentration in rice grains in the Lower Changjiang Plain during 2004-2014 based on soil geochemical survey data with GIS
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Predicting spatial and temporal variation of Cd concentration in rice grains in the Lower Changjiang Plain during 2004-2014 based on soil geochemical survey data with GIS

机译:基于土壤地球化学测量数据与GIS预测2004 - 2014年较低的长江平原稻粒中CD浓度的空间和时间变化

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摘要

The Lower Changjiang Plain (LCP) is one of the most important regions for rice production in China. A significant increase of soil Cd concentration (Cd-soil) with the decrease of soil pH has been found during the recent decade (2004-2014) on the regional scale. In order to evaluate the effects of the changing soil parameters on Cd concentrations in rice products, a linear mixed model was built to relate the carefully selected soil parameters to Cd concentration in rice grains (Cd-rice) with the random component modelled as a spatially correlated random variable. With the 2004 soil geochemical survey data, and the 2014 soil monitoring data, spatial and temporal variation of Cd-rice was predicted in Geographical Information System (GIS) with the model. It was found that although the predicted Cd-rice in 2014 is still under the food standard limitation of 200 mu g/kg, it has increased significantly (p < 0.001) over this decade, with the median increased from 19.06 mu g/kg in 2004 to 24.11 mu g/kg (in dry weight basis) in 2014. The result also showed that the spatial patterns of Cd-rice did not coincide with those of the soil pollution levels calculated from the environmental quality standard of China (GB15618-1995), which implies that the traditional soil Cd pollution assessment needs to be improved with more consideration of its bio-availability.
机译:较低的长江平原(LCP)是中国大米生产中最重要的地区之一。在最近十年(2004 - 2014年)在区域规模上发现了土壤CD浓度(CD土壤)的显着增加。为了评估改变土壤参数对水稻产品中Cd浓度的影响,建立了线性混合模型,以将仔细选定的土壤参数与水稻(CD-米)的CD浓度相关联,随着空间上建模的随机成分相关随机变量。随着2004年土壤地球化学调查数据,与模型的地理信息系统(GIS)预测了CD-Rice的2014年土壤监测数据,空间和时间变化。有人发现,尽管2014年预测的CD-米仍处于200μg/ kg的食品标准局限下,但它在这十年内显着增加(P <0.001),中位数从19.06 mu g / kg增加2014年2004至24.11 mu g / kg(干重基础)。结果还表明,CD-rice的空间模式与中国环境质量标准计算的土壤污染水平不一致(GB15618-1995 ),这意味着需要改善传统的土壤CD污染评估,并更多地考虑其生物可用性。

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