四川布拖土壤CO2多年释放特征及影响因素

地震 ›› 2014, Vol. 34 ›› Issue (4): 30-39.

四川布拖土壤CO₂多年释放特征及影响因素

马玉川¹, 孙小龙², 王博¹, 周志华¹

1.中国地震台网中心,北京100045;
2.中国地震局地壳应力研究所,北京100085

收稿日期:2014-03-11 修回日期:2014-05-20 发布日期:2020-09-11
作者简介:马玉川(1985-),男,宁夏海原人,2010年获硕士学位,现主要从事地震地下流体动力学等研究。

Secular Variation Features of CO₂ in Butuo, Sichuan Province

MA Yu-chuan¹, SUN Xiao-long², WANG Bo¹, ZHOU Zhi-hua¹

1. China Earthquake Networks Center, Beijing 100045,China;
2. Institute of Crustal Dynamics, CEA, Beijing 100085 ,China

Received:2014-03-11 Revised:2014-05-20 Published:2020-09-11

摘要/Abstract

摘要： 依据四川省布拖土壤CO₂测点2005- 2013 年的连续数据,分析了CO₂的释放特征、来源和影响因素。结果表明,布拖CO₂释放率有明显的夏高冬低年变特征,来源于土壤生物呼吸。布拖CO₂释放率的主要影响因素为地温和土壤湿度,在每年11月至次年3月,CO₂释率和地温正相关;在每年4~10月,CO₂释放率和土壤湿度正相关。结果还表明,布拖CO₂释放率在2007、2012和2013年夏季的峰值偏高,其成因为生物生长增长期内降水量偏大引起土.壤湿度增大、从而引起土壤呼吸增强、进而引起CO₂释放率偏高,与地震孕育或区域构造活动无关。

关键词: 土壤CO₂, 土壤呼吸, 温度, 湿度, 降水

Abstract: We analyze the source and effect factors of CO₂ in Butuo, Sichuan Province, basing on observed data from January 2005 to August 2013. The results show that CO₂ comes mainly from soil respiration, and the variation features are mainly affected by soil temperature and moisture. In detail, the variation features of the CO₂ have the same rhythm with the biological growth equation, so we conclude that it comes mainly from soil respiration. The variation features of the CO₂ are mainly affected by soil temperature in November each year to the next March, and during this time the values of CO₂ are proportional to the soil temperature. The variation features of the CO₂ are mainly affected by soil moisture in April each year to October, and during this time the values of CO₂ are proportional to the soil moisture. The values of the CO₂ in the middle year of 2007, 2012 and 2013 are higher than other years, it is for the reason that the cumulative rainfall in these years are much bigger, leading to bigger soil moisture and respiration. Therefore, it has no rela tionship with earthquake preparation or tectonic activity.

Key words: CO₂ Variation, Soil respiration, Tectonic activity

中图分类号:

P315.7

马玉川, 孙小龙, 王博, 周志华. 四川布拖土壤CO₂多年释放特征及影响因素[J]. 地震, 2014, 34(4): 30-39.

MA Yu-chuan, SUN Xiao-long, WANG Bo, ZHOU Zhi-hua. Secular Variation Features of CO₂ in Butuo, Sichuan Province[J]. EARTHQUAKE, 2014, 34(4): 30-39.

参考文献

[1] 鱼金子,车用太,刘五洲.地壳中的CO₂及其释放与地震短临预测[J]. 地震,1998, 8: 8-12.
[2] 承继成, 赵英俊.地球释放CO2及其遥感研究进展[M].电子工业出版社,2011, 1-25.
[3] Willam P I, Ivan B.Tectonic relations of carbon dioxide discharges and earthquake[J]. Journal of geophysical research, 1980, 85(B6): 3115-3121.
[4] 杜乐天. 地球的五个气圈与氢,烃资源兼论气体地球动力学[J].铀矿地质,1993, 9(5): 257-265.
[5] 上官志冠,高松升.滇西地区二氧化碳的释放与地震[J]. 地震学报,1990, 12(2): 186-193.
[6] 孔令昌,李秋珍.塔院断层土壤气异常及其映震能力与机制初探[J].地震地质,1995,17(1): 59-62.
[7] 林元武,王基华,高松升.断层气测定新方法与张北-尚义6.2级地震预报[J].地震,1998,18(4):353-357.
[8] 杜建国,刘丛强,同位素地球化学在地震研究方面的作用[J].地震,2003, 23(2): 99-107.
[9] 刘绍辉,方精云.土壤呼吸的影响因素及全球尺度下温度的影响[J].生态学报,1997, 17(5): 469-476.
[10] 张东秋,石培礼,张宪洲.土壤呼吸主要影响因素的研究进展[J]. 地球科学进展,2005, 20(7):778-785.
[11] 中国地震局监测预报司.汶川8.0级地震科学研究报告[M].北京:地震出版社,2009.
[12] 流体学科汇总组.2013 年度流体学科全国观测资料异常变化年度会商会汇总报告[J].震情研究,2012,(3): 39-63.
[13] 林元武,崔盛华.断层气CO₂快速测定法及其在地震研究中的应用[J].地震,1993, 6: 65-67.
[14] 戴金星,戴春森,宋岩,等.中国东部无机成因的二氧化碳气藏及其特征[J]. 中国海上油气(地质),1994, 8(4): 215-222.
[15] Du J G, Cheng W Z, Zhang Y L, et al.Heilum and carbon isotope compositions of thermal springs in the earthquake zone of Sichuan, Southeastern China[J]. Journal of Asian Earth Sciences, 2006 ,26(5): 533-539.
[16] Sugisaki R, Masahiko I, Hiroshi T.Origin of hydrogen and carbon dioxide in fault gases and its relation to fault activity[J]. The Journal of Geology, 1983,91(3): 239-259.
[17] 王基华,王亮,孙风民,等.断层气动态特征及其与地震活动关系[J].地震,1994, (3): 59-63.
[18] 崔党群. Logistic曲线方程的解析与拟合优度测验[J].数理统计与管理,2005, 24(1): 112-115.
[19] 殷祚云. Logistic曲线拟合方法研究[J]. 数理统计与管理,2002, 21(1): 41-46.
[20] 陈全胜, 李凌浩,韩兴国,等.典型温带草原群落土壤呼吸温度敏感性与土壤水分的关系[J].生态学报,2004,24(4): 831-836.

四川布拖土壤CO₂多年释放特征及影响因素

Secular Variation Features of CO₂ in Butuo, Sichuan Province

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