Chen Tao, Liu Xingmei, Li Xia, Zhao Keli, Zhang Jiabao, Xu Jianming, Shi Jiachun, Dahlgren Randy A
Institute of Soil and Water Resources and Environmental Science, Zhejiang University, Zhejiang Provincial Key Laboratory of Subtropical Soil and Plant Nutrition, Hangzhou 310029, PR China.
Environ Pollut. 2009 Mar;157(3):1003-10. doi: 10.1016/j.envpol.2008.10.011. Epub 2008 Nov 20.
At a field-scale (6.7ha), 100 surface soil samples were collected from a vegetable field to determine total concentrations of Cd, Co, Cu, Hg, Mn, Ni and Zn. To identify possible sources of these metals and characterize their spatial variation, classic statistic and geostatistic techniques were applied. Through correlation and geostatistical analysis, it was found that the primary inputs of Co, Mn and Ni were due to pedogenic sources, whereas the sources of Hg and Cd were mainly due to human activities. Because of their different sources, their variations followed: Hg>Cd approximately Cu>Zn approximately Co approximately Mn approximately Ni. Based on their relationships with other soil properties, co-kriging was used to minimize sampling density. Sampling numbers for Cd, Cu, Zn, Mn, Co and Ni can be reduced from 100 to 90, 80, 70, 60, 60 and 60, respectively, without losing accuracy relative to ordinary kriging.
在田间尺度（6.7公顷）下，从一块菜地采集了100个表层土壤样本，以测定镉、钴、铜、汞、锰、镍和锌的总浓度。为了确定这些金属的可能来源并表征其空间变异，应用了经典统计和地统计技术。通过相关性和地统计分析发现，钴、锰和镍的主要输入源于成土过程，而汞和镉的来源主要是人类活动。由于它们的来源不同，其变异顺序为：汞>镉≈铜>锌≈钴≈锰≈镍。基于它们与其他土壤性质的关系，采用协同克里金法来最小化采样密度。镉、铜、锌、锰、钴和镍的采样数量可分别从100个减少到90、80、70、60、60和60个，相对于普通克里金法而言，不会损失精度。
