光谱学与光谱分析 |
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Effects of Soil Use along Yellow River Basin on the Pollution of Soil by Heavy Metals |
RUI Yu-kui1,QU Lai-cai2,KONG Xiang-bin1* |
1. College of Resources and Environmental Sciences, China Agricultural University, Beijing 100094, China 2. Shandong Dongying Agricultural Bureau, Dongying 257091, China |
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Abstract Because of the decrease in pasture and woodland proportion, soil loss is severe along the Yellow River basin. The Yellow River delta has been one of the deltas that form land most quickly. Research on the pollution of new land is important for its use and appraising the environment and food pollution along Yellow River basin. The contents of heavy metals (Mn, Cu, Zn, As, Cd, Pb, Hg and Cr) in new soils (2006) and old soils (1996) from Yellow River delta, were analyzed by the method of ICP-MS/ICP-AES, in order to determine the level of pollution along Yellow River basin. The results showed that the heavy metals pollution along Yellow River basin is increasingly severe, especially the concentrations of Mn, Cu, Zn, Cr and Cd in soil forming in 2006 are significantly higher than those in 1996, which should be noticed by our government.
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Received: 2006-11-19
Accepted: 2007-03-03
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Corresponding Authors:
KONG Xiang-bin
E-mail: ruiyukui@163.com
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[1] WANG Guang-qian, WANG Si-yuan, CHEN Zhi-xiang(王光谦, 王思远, 陈志祥). J. Tsinghua University(Science and Technology)(清华大学学报·自然科学版), 2004, 44(9): 1218. [2] WANG Hong, GONG Peng, LIU Gao-huan(王 红, 宫 鹏, 刘高焕). Journal of Natural Resource(自然资源学报), 2004, 19(1): 110. [3] Moreira Josino Costa. The Science of the Total Environment, 1996, 188: S61. [4] HUANG Zhen-yu, ZHANG Qin, HU Ke, et al(黄珍玉, 张 勤, 胡 克, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2003, 23(5): 962. [5] CHENG Wang-da, YAO Hai-gen, WU Wei, et al(程旺大, 姚海根, 吴 伟, 等). Review of China Agricultural Science and Technology(中国农业科技导报), 2005, 7(4): 51. |
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