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Carbon dioxide degassing flux from two geothermal fields in Tibet, China
  • ISSN号:1001-6538
  • 期刊名称:Chinese Science Bulletin
  • 时间:2011.12.12
  • 页码:3783-3793
  • 分类:S718.55[农业科学—林学] TV121.7[水利工程—水文学及水资源]
  • 作者机构:[1]Karst Institute of Geology, Chinese Academy of Geological Sciences/Key Laboratory of Karst Dynamics, Ministry of Land and Resources, Guilin 541004, China, [2]International Research Centre on Karst, United Nations Educational, Scientific and Cultural Organization, Guilin 541004, China, [3]Guangxi General Institute of Geology and Exploration, Nanning 530023, China, [4]College of Geographical Sciences, Southwest University, Chongqing 400715, China
  • 相关基金:The authors would like to thank the Maolan National Natural Reserve for allowing access and providing help with our research. This work was funded by the project (No. 41072192) from National Natural Science Foundation of China and the project (No. 1212011087122) from China Geological Survey.
  • 相关项目:岩溶碳汇重要科学问题研究
中文摘要:

石灰岩地区常见的地形过程为大气的公司 2 充当碳隐遁。石灰岩地区常见的地形碳隐遁(KCS ) 的数量取决于石灰岩地区常见的地形集水的分泌物和水身体的无机的碳集中。在位于贵州省,这进程和影响的 Maolan 国家自然保护区的 Banzhai 地下的溪流上从监视车站基于数据 KCS 的因素被分析了。它证明 KCS 的数量每在 Banzhai 地下的溪流的集水的年是大约 353 t C,并且在 KCS 的力量和在各种各样的时间规模的溪流的分泌物之间有好线性关系。因此,怎么精确地监视分泌物是 KCS 的评价的关键。并且因为石灰岩地区常见的地形水周期的强壮的季节的可变性,有即时监视功能的车站为 KCS 计算是很重要的。引证他, S.-Y. , Z.-Q。坑,李基,等, 2012:在石灰岩地区常见的地形碳隐遁监视技术的即时高分辨率的利用:在 Banzhai 地下的溪流集水的车站的案例研究。副词。Clim。变化物件, 3 (1 ) , doi:10.3724/SP .J.1248.2012.00054。

英文摘要:

The karst process acts as carbon sequestration for atmospheric CO2. The amount of karst carbon sequestration (KCS) depends on the discharge of karst catchment and inorganic carbon concentration of the water body. Based on the data from the monitoring station on Banzhai subterranean stream located in Maolan National Nature Reserve of Guizhou province, the process and influence factors of KCS have been analyzed. It shows that the amount of KCS is about 353 t C per year in the catchment of Banzhai subterranean stream, and there is good linear relationship between the strength of KCS and discharge of the stream at various time scales. Therefore, how to monitor the discharge accurately is the key to the estimation of KCS. And stations with real-time monitoring function are very important for KCS calculation because of strong seasonal variability of the karst water cycle.

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