Environmental Science and Engineering Department, Fudan University, Shanghai 200433, China; College of Fisheries and Life Science, Shanghai Ocean University, Shanghai 201306, China.
Institute of Wetland Ecology, School of Life Science, Nanjing University, Nanjing 210093, China.
J Hazard Mater. 2010 Dec 15;184(1-3):375-385. doi: 10.1016/j.jhazmat.2010.08.046. Epub 2010 Aug 21.
An integrated approach involving landuse patterns obtained from landuse data and heavy metal contents of the top 10 cm surface soil layer samplings was proposed to detect the characteristic spatial scale of non-point source human disturbances on the Yellow Sea coast in China. Circular plots, with radii of 200, 500, 1000, 1500, and 2000 m were set up to represent five spatial scales. We proposed a human impact index (HII) using the landuse data to model the human disturbances. Multivariate statistics of the 10 heavy metals, Cr, Co, Fe, Mn, Ni, V, Zn, Cu, Ti, and Sr, were done. Finally curve estimation between HII and heavy metals was also done. The results showed that: (1) multivariate statistics, including principal component analysis, cluster analysis and the 1-tailed Pearson correlation analysis showing that elements Cr, Cu, Fe, Mn, Ni, V, Zn, and Co could be interpreted as anthropogenic elements and (2) of all the heavy metals showing statistical significance from the curve estimation, in general, the 1000 m scale HII had the best modeling result. We concluded that the characteristic spatial scale of human disturbances on Yellow Sea coast might be 1000 m.
本研究提出了一种综合方法，将土地利用模式与表层土壤重金属含量（10cm）相结合，以探测中国黄海沿岸非点源人为干扰的特征空间尺度。设置了半径为 200、500、1000、1500 和 2000m 的圆形样区，以代表五个空间尺度。利用土地利用数据构建了人类干扰指数（HII）来模拟人类干扰。对 Cr、Co、Fe、Mn、Ni、V、Zn、Cu、Ti 和 Sr 等 10 种重金属进行了多元统计分析，包括主成分分析、聚类分析和单尾 Pearson 相关分析。结果表明：（1）多元统计分析结果表明，Cr、Cu、Fe、Mn、Ni、V、Zn 和 Co 等元素可以解释为人为元素；（2）从曲线估计来看，所有重金属都具有统计学意义，总体而言，1000m 尺度的 HII 具有最佳的建模效果。研究得出结论，黄海沿岸人类干扰的特征空间尺度可能为 1000m。
Zotero 插件