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基于源汇理论的浦东新区土壤重金属沿城乡梯度的分布特征

方淑波1,2,崔曲1,庞慧焕1,印春生1,罗兴章2*   

  1. 1教育部水产种质资源开发利用实验室, 上海海洋大学, 上海 201306; 2复旦大学环境科学与工程系, 上海 200433)
  • 出版日期:2016-03-10 发布日期:2016-03-10

Source-sink theory based distribution characters of soil heavy metals along an urban-rural gradient in Pudong New District.

FANG Shu-bo1,2, CUI Qu1, PANG Hui-huan1, YIN Chun-sheng1, LUO Xing-zhang2*   

  1. (1 Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources of Ministry of Education, Shanghai Ocean University, Shanghai 201306, China; 2 Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China).
  • Online:2016-03-10 Published:2016-03-10

摘要: 基于源汇格局理论,采用滑动窗口分析法分析了上海市浦东新区城乡梯度上林地和建设用地土壤重金属包括Pb、Cu和Cd的浓度及其变幅差异,采用层次聚类分析法研究了重金属沿城乡梯度浓度变化的距离阈值,在滑动窗口重金属浓度和相关变量线性回归分析的基础上,采用相关分析方法辨别影响重金属空间分布的主要因素,并根据主要的影响因素,采取图层运算的方法得到了城市区域重金属环境风险控制的优先区域。结果表明:林地土壤的重金属浓度、变幅均高于建设用地,Cu和Cd浓度在距市中心27 km左右的位置显著降低,而Pb浓度在距市中心30 km左右的地方出现极大值。线性回归分析和相关分析表明,道路密度、建设用地比例和反映工业开发进程的人口导入指数显著影响重金属的空间分布。对图层运算后鉴别出的潜在优先管理区域,提出了林地多元化目标经营的理念。

关键词: 繁殖毒性, 重金属, 信号通路, 阻断剂

Abstract: By using the moving windows method, the mean concentration and range of soil heavy metals including Cu, Cd and Pb in forest and builtup patches along an urbanrural gradient in Pudong New District, Shanghai were analyzed based on the sourcesink theory. The linear regression analysis and correlation analysis were applied to distinguish the major factors affecting the spatial distribution of soil heavy metals concentrations. With the selected factors affecting the spatial variation of heavy metals, the priority management areas associated with potential risks of heavy metals were identified by raster layer computation. The results showed that the mean and range values of heavy metals in the forest patches were higher than those in the builtup patches. The mean concentrations of forest soil Cu and Cd decreased significantly at the distance of 27 km from the urban center, while those of soil Pb had a peak value at the distance of 30 km from urban center. The linear regression analysis and the correlation analysis showed that road density, builtup area percentage, and population change index that reflects the industrial development process could significantly affect the spatial distribution of soil heavy metals. A multitarget forest management strategy should be applied to respond to the identified potential priority areas for risk management of heavy metals.

Key words: reproductive toxicity, signal pathway, inhibitor, heavy metal