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生态学杂志 ›› 2011, Vol. 30 ›› Issue (05): 993-997.

• 汞的生物地球化学专辑 • 上一篇    下一篇

五里河沉积物汞的时空变化规律

郑冬梅1,张仲胜2,3,王起超2**   

  1. 1沈阳大学区域污染环境生态修复教育部重点实验室, 沈阳 110044;2中国科学院东北地理与农业生态研究所, 长春 130012;3中国科学院研究
    生院, 北京 100049
  • 出版日期:2011-05-08 发布日期:2011-05-08

Spatiotemporal variation of mercury in sediments of Wulihe River, Liaoning Province.

ZHENG Dong-mei1, ZHANG Zhong-sheng2,3, WANG Qi-chao2**   

  1. 1Shenyang University Key Laboratory of Eco-remediation of Contaminated Environment and Resource Reuse, Shenyang 110044, China|2Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130012, China|3Graduate University of Chinese Academy of Sciences, Beijing 100049, China
  • Online:2011-05-08 Published:2011-05-08

摘要: 研究了历史上受纳氯碱污染的辽宁省葫芦岛市五里河沉积物中总汞、甲基汞25年中的时空变化规律。结果表明,经过25年的变化,在人工治理和自然净化作用下,五里河不同地点沉积物总汞和甲基汞含量总体上呈现明显下降的趋势,甲基汞下降尤为显著;但沉积物中汞含量依然处于较高水平,总汞含量为0.491~26.395 mg·kg-1,平均13.766 mg·kg-1,超过辽宁省土壤汞背景值(0.037 mg·kg-1)371倍,甲基汞含量为0.253~12.079 μg·kg-1,污染严重的断面是污染源附近的化工桥以及下游河口附近的茨山北桥。

关键词: 氚水, 环境行为, 水稻, 放射生态学, 非线性回归

Abstract: Sediment samples were collected from the Wulihe River historically contaminated by chlor-alkali production in Huludao City, Liaoning Province, aimed to study the past 25 years spatiotemporal variation of total and methyl mercury in the River. Under 25-year artificial management and natural purification, the total and methyl mercury contents in the sediments collected from different segments showed an overall decreasing trend, being more obvious for methyl mercury, but the total mercury content was still quite high (0.491-26.395 mg·kg-1, averagely 13.766 mg·kg-1), 371 times higher than the background value (0.037 mg·kg-1) of soils in the Province. The methyl mercury content was in the range of 0.253-12.079 mg·kg-1. The segments with heavy mercury-contamination were at the Hugong Bridge near to pollution source and the North Cishan Bridge near to the downstream estuarine.

Key words: HTO, Environmental behavior, Rice, Radioecology, Nonlinear regression