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厌氧条件下砂壤水稻土N2、N2O、NO、CO2和CH4排放特征
摘要点击 1639  全文点击 1295  投稿时间:2015-01-04  修订日期:2015-04-09
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中文关键词  水稻土  反硝化  N2  N2O  NO  DOC含量  NO3-含量
英文关键词  paddy soil  denitrification  N2  N2O  NO  DOC concentration  NO3- concentration
作者单位E-mail
曹娜 西北农林科技大学资源环境学院, 杨凌 712100
中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室, 北京 100029 
305611506@qq.com 
王睿 中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室, 北京 100029 wangrui@mail.iap.ac.cn 
廖婷婷 中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室, 北京 100029  
陈诺 中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室, 北京 100029  
郑循华 中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室, 北京 100029  
姚志生 中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室, 北京 100029  
张海 西北农林科技大学资源环境学院, 杨凌 712100  
Klaus Butterbach-Bahl 卡尔斯鲁厄理工大学气象与气候研究所大气环境研究部, 加尔米施-帕滕基兴 82467, 德国  
中文摘要
      了解厌氧条件土壤反硝化气体(N2、N2O和NO)、CO2和CH4排放特征,是认识反硝化过程机制的基础,并有助于制定合理的温室气体减排措施. 定量反硝化产物组成,可为氮转化过程模型研发制定正确的关键过程参数选取方法或参数化方案. 本研究选取质地相同(砂壤土)的两个水稻土为研究对象,通过添加KNO3和葡萄糖的混合溶液,将培养土壤的初始NO3-和DOC含量分别调节到50 mg ·kg-1和300 mg ·kg-1,采用氦环境培养-气体及碳氮底物直接同步测定方法,研究完全厌氧条件下土壤N2、N2O、NO、CO2和CH4的排放特征,并获得反硝化气态产物中各组分的比率. 结果表明,在整个培养过程中,两个供试土壤的N2、N2O和NO累积排放量分别为6~8、20和15~18 mg ·kg-1,这些气体排放量测定结果可回收土壤NO3-变化量的95%~98%,反硝化气态产物以N2O和NO为主,其中3种组分的比率分别为15%~19%(N2)、47%~49%(N2O)和34%~36%(NO); 但反硝化气体产物组成的逐日动态均显现为从以NO为主逐渐过渡到以N2O为主,最后才发展到以N2为主. 以上结果说明,反硝化气体产物组成是随反硝化进程而变化的,在以气体产物组成比率作为关键参数计算各种反硝化气体产生率或排放率的模型中,很有必要重视这一点.
英文摘要
      Understanding the characteristics of the production of nitrogen gases (N2, N2O and NO), CO2 and CH4 in anaerobic paddy soils is not only a prerequisite for an improved mechanistic understanding of key microbial processes involved in the production of atmospheric greenhouse gases (GHG), but might also provide the basis for designing greenhouse gas mitigation strategies. Moreover, quantifying the composition fractions of denitrification gaseous products is of key importance for improving parameterization schemes of microbial processes in process-oriented models which are increasingly used for assessing soil GHG emissions at site and national scales. In our experiments we investigated two sandy loam soils from two paddy fields. The initial concentrations of soil nitrate and dissolved organic carbon (DOC) were set at~50 mg ·kg-1 and~300 mg ·kg-1, respectively, by adding a mixture solution of KNO3 and glucose. The emissions of N2, N2O NO, CO2and CH4, as well as concentrations of carbon and nitrogen substrates for each soil sample were measured simultaneously, using a gas-flow-soil-core technique and a paralleling substrate monitoring system. The results showed that the accumulative emissions of N2, N2O and NO of the two soil samples for the entire incubation period were 6-8, 20, and 15-18 mg ·kg-1, respectively. By measuring the cumulative emissions of denitrification gases (Nt=N2+N2O+NO) we were able to explain 95% to 98% of observed changes in soil nitrate concentrations. The mass fractions of N2, N2O and NO emissions to Nt were approximately 15%-19%, 47%-49%, and 34%-36%, respectively. Thus, in our experiments N2O and NO were the main products of denitrification for the entire incubation period. However, as the temporal courses of hourly or daily production of the denitrification gases showed, NO production dominated and peaked firstly, and then N2O, before finally N2 became the dominant product. Our results show the high temporal dynamic of denitrification end products and this knowledge is of crucial importance for model development, since so far existing models assume a fixed fraction of denitrification end products.

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