萃取(化学)
原子吸收光谱法
环境化学
金属
化学
主成分分析
土工试验
土壤水分
遗传算法
重金属
环境科学
数学
色谱法
土壤科学
统计
生物
物理
有机化学
量子力学
进化生物学
作者
Şerife Tokalıoğlu,Vedat Yılmaz,Şenol Kartal
标识
DOI:10.1002/clen.201000025
摘要
Abstract The concentrations of Cr, Mn, Fe, Ni, Cu, Zn, and Pb metals in soil samples ( N = 21) were determined by flame atomic absorption spectrometry. The modified Community Bureau of Reference (BCR) sequential extraction procedure (three‐step) was used in order to evaluate mobility, availability, and persistence of heavy metals in soil samples taken from an agricultural area in Erciyes University Campus. The operationally defined fractions isolated using the BCR procedure were: acid extractable, reducible, and oxidizable. The mobility sequence based on the sum of the BCR sequential extraction stages was: Mn (70.2%) > Pb (62.9%) > Ni (26.7%) > Cr (15.4%) > Zn (14.4%) > Cu (12.9%) > Fe (1.24%). Multivariate statistical analysis was used to define the possible origin of heavy metals in soils. Correlation analysis, principal component analysis (PCA), and cluster analysis (CA) were applied to the data matrix to evaluate the analytical results and to identify the possible pollution sources of heavy metals. PCA results revealed that the sampling area was mainly influenced from three sources, namely natural, airborne emissions from domestic heating and traffic.
科研通智能强力驱动
Strongly Powered by AbleSci AI