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Nitrous Oxide Emissions from Newly Created Littoral Marshes in the Drawdown Area of the Three Gorges Reservoir, China

机译:三峡水库水库降落区新建滨海沼泽一氧化二氮排放

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摘要

This study aimed to understand the seasonal and spatial variations of N_2O emissions from newly created littoral marshes in the drawdown area of the Three Gorges Reservoir (TGR), China. We measured N_2O emissions at 10-day intervals during the growing season (early July to late September) in 2008. N_2Ornemissions were measured with static chambers in four typical vegetation stands. The results showed great spatial variations of N_2O emissions among the four stands. The greatest N_2O emissions (0.052±0.063 mg N_2O m~(-2)h~(-1)) were from Scirpus triqueter stand, while the lowest N_2O emissions (0.020±0.020 mg N_2O m~(-2) h~(-1)) were from Typha angustifolia stand. To such spatial variations in N_2O emissions, standing water depths and soil water content may be important explaining factors. Besides spatial variations, we also found significant temporal variations of N_2O emissions in this area. The temporal variation of N_2O emissions in the growing season was not found significantly related to any measured factor in the study. However, based on principal component analysis, we consider it partly caused by thermal conditions and the marked temporal variation of the standing water depth in the growing season, which to some degree influenced the process of denitrification and N_2O emissions. These results about TGR enable us to make a more reasonable estimate of N_2O emissions from large dam reservoirs, particularly those with a large drawdown area in the growing season in an agricultural landscape.
机译:这项研究旨在了解中国三峡水库(TGR)降落区新建沿海沼泽地N_2O排放的季节和空间变化。在2008年的生长季节(7月初至9月下旬),我们以10天为间隔测量了N_2O排放。N_2O排放是在四个典型的植被林分中用静态室测量的。结果表明,四个林分之间N_2O排放的空间差异很大。 Scirpus triqueter林分最大的N_2O排放量(0.052±0.063 mg N_2O m〜(-2)h〜(-1)),最低的N_2O排放量(0.020±0.020 mg N_2O m〜(-2)h〜(- 1))来自香蒲(Typha angustifolia)立场。对于N_2O排放量的这种空间变化,静水深度和土壤含水量可能是重要的解释因素。除了空间变化外,我们还发现该区域N_2O排放量存在明显的时间变化。在研究中未发现生长季节中N_2O排放的时间变化与任何测量因素有显着相关。然而,基于主成分分析,我们认为部分原因是由于热条件和生长期中积水深度的明显时间变化,在一定程度上影响了反硝化过程和N_2O排放。关于TGR的这些结果使我们能够更合理地估算大型水坝水库的N_2O排放,特别是在农业景观生长季节中水位下降面积较大的水库。

著录项

  • 来源
    《Water, air and soil pollution》 |2010年第4期|P.25-33|共9页
  • 作者单位

    College of Resources and Environment, Chongqing University, Chongqing 400030, China Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China Institute of Environment Sciences, Quebec University at Montreal, Montreal C3H3P8, Canada;

    rnCollege of Resources and Environment, Chongqing University, Chongqing 400030, China Key Laboratory for the Exploitation of South-West Resources and Environmental Disaster Control Engineering, Ministry of Education, Chongqing University, Chongqing 400044, China;

    rnInstitute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China;

    rnChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China;

    rnChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China;

    rnBureau of Pengxi River Wetland Reserve, Chongqing 405400, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    water regime; temporal variations; N cycling; three gorges dam;

    机译:水情时间变化;N次循环;三峡大坝;

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