Abstract：The principal component analysis/absolute principal component scores (PCA/APCS) receptor model and the ordinary kriging interpolation method were combined to identify and apportion the pollution sources of soil Cd in an area of about 150 km2 in the Wuhan Donghu High-tech Development Park. Four sources and their contribution rates, obtained using the receptor model, were as follows: source I (67%), source II (8%), source III (16%) and other sources (9%). Source contributions at each sampling site were further quantified using the receptor model, and the spatial distribution patterns of the contributions of different sources to soil Cd were mapped using ordinary kriging interpolation. Results show that every Cd source had its unique spatial pattern and high contributions from the largest Cd source (source I) mainly concentrated in the central region of the study area. Based on PCA analysis and the spatial distribution patterns of the source contributions, source I may originate from the electronic industry, source II may come from urban atmospheric deposition, particularly vehicle gas emission, and source III should be soil parent materials. This study indicates that combining the PCA/APCS receptor model and geostatistics is an effective method for apportioning heavy metal pollution sources.
瞿明凯, 李卫东, 张传荣, 黄标, 胡文友. 基于受体模型和地统计学相结合的土壤镉污染源解析[J]. 中国环境科学, 2013, 33(5): 854-860.
QU Ming-Kai, LI Wei-Dong, ZHANG Chuan-Rong, HUANG Biao, HU Wen-You. Source apportionment of soil heavy metal Cd based on the combination of receptor model and geostatistics. CHINA ENVIRONMENTAL SCIENCECE, 2013, 33(5): 854-860.
