[Spatial and Temporal Distribution and Source Variation of Heavy Metals in Cultivated Land Soil of Xiangzhou District Based on EBK Interpolation Prediction and GDM Model].

Hao-Ran Gao, Yong Zhou, Jia-Kang Liu, Xiao-Ming Cheng, Song Guo, Yan Jiang, Heng-Xin Tan
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引用次数: 1

Abstract

In order to explore the spatial and temporal changes in spatial patterns and source changes in heavy metals in Xiangzhou District, 395 and 326 soil samples were collected from cultivated soil in Xiangzhou District in November 2009 and November 2019, respectively. The contents of Cr, Pb, As, Hg, and Cd during these two years were measured. The spatial pattern and variation distribution of five types of heavy metals during these two years were obtained by using the empirical Bayesian Kriging (EBK) method. The effect (q-statistic) of 19 environmental factors and 5 types of heavy metals was calculated by using the geographical detector model (GDM), and the changes over the two years were compared. The results showed that compared with that in 2009, the heavy metal contents of Cr, Pb, Hg, and As in Xiangzhou District were decreased as a whole in 2019, whereas the Cd content increased overall. The spatial differentiation of heavy metals in the soil in Xiangzhou District in 2019 was more complicated than that in 2009. Pb, Hg, and Cd in the south and Hg in the central urban area and surrounding areas also increased. The content of each element decreased to the north and northwest. Compared with that in 2009, the explanatory power of natural factors and the distance between pollution enterprises on the single factor of the five soil heavy metal contents in 2019 decreased, and the influence on the contents under the control of single factors decreased significantly. The superposition influence of human activity factors increased, especially the distance between residential land, road, and land for pollution enterprises and environmental factors on soil heavy metal elements. These results indicated that the changes in soil heavy metal sources in 2019 tended to be complex, with structural factors as the main influencing factor. The influence of the emission of polluting enterprises on heavy metal elements decreased, whereas the influence of human activities on heavy metal content increased.

[基于EBK插值预测和GDM模型的香洲区耕地土壤重金属时空分布及来源变异]。
为探讨香洲区重金属的时空分布格局及来源变化,于2009年11月和2019年11月分别采集香洲区耕地土壤样品395份和326份。测定了两年间的Cr、Pb、As、Hg、Cd的含量。利用经验贝叶斯Kriging (EBK)方法,得到了这2年5种重金属的空间格局和变化分布。采用地理探测器模型(GDM)计算19个环境因子和5种重金属的影响(q统计量),并比较两年内的变化。结果表明:与2009年相比,2019年香洲区Cr、Pb、Hg、As等重金属含量整体下降,Cd含量整体上升;2019年香洲区土壤重金属空间分异比2009年更为复杂。南部地区的Pb、Hg、Cd和中心城区及周边地区的Hg也有所增加。各元素含量向北、西北方向递减。与2009年相比,2019年自然因素和污染企业间距离对5种土壤重金属含量单因素的解释力下降,单因素控制下对含量的影响显著下降。人类活动因子对土壤重金属元素的叠加影响增大,尤其是居住用地、道路、污染企业用地与环境因子之间的距离对土壤重金属元素的叠加影响增大。这些结果表明,2019年土壤重金属源变化趋于复杂,结构性因素是主要影响因素。污染企业排放对重金属元素的影响减小,而人类活动对重金属含量的影响增大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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