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《地震研究》[ISSN:1000-0666/CN:53-1062/P]

卷:

45

期数:

2022年02期

页码:

275-283

栏目:

出版日期:

2022-05-20

文章信息/Info

Title:

Analysis of the Anomalies and Earthquake-prediction Efficiency of Hydrogen in Groundwater in Panjin 1st Well,Liaoning Province

作者:

王喜龙¹; 杨梦尧²; 郭红霞¹; 刘建光¹

(1.辽宁省地震局,辽宁 沈阳 110034; 2.辽宁省汇泽矿业技术咨询有限公司,辽宁 沈阳 110035)

Author(s):

WANG Xilong¹; YANG Mengyao²; GUO Hongxia¹; LIU Jianguang¹

(1.Liaoning Earthquake Agency,Shenyang 110034,Liaoning,China)(2.Huize Mining Technology Consulting Company of Liaoning Province,Shenyang 110035,Liaoning,China)

关键词:

氢气;  异常特征;  预报效能;  盘一井

Keywords:

hydrogen;  characteristics of hydrodegen anomalies;  earthquake-prediction efficiency;  Panjin

分类号:

P315.724

DOI:

10.20015/j.cnki.ISSN1000-0666.2022.0026

摘要:

为了对2020年辽宁盘锦台盘一井氢气出现的异常及预报效能进行分析,在排除外界干扰的基础上,结合地震活动性特征及应用临界慢化方法对氢气进行异常识别。结果表明:盘一井氢气浓度出现的高值变化主要与辽南地区2019年10月以来的构造活动增强以及盖州震群地震活动增强有一定成因关联,此次异常对应了2020年唐山古冶5.1级地震。应用R值评分方法对氢气预报效能进行检验,计算得到盘一井氢气R值为0.48,通过效能检验,表明盘一井氢气对于辽宁地区地震预测具有较好指示意义。

Abstract:

In order to analyze the anomalous characteristics and the earthquake-prediction efficiency of the hydrogen in Panjin 1st well,Liaoning Province,we firstly eliminate the background interference with hydrogen,then we discriminate hydrogen anomalies by the help of seismicity and the principle of critical slow-down in the stuy area.The results show that the anomalous,high-value fluctuation of hydrogen concentration in Panjin 1st well since October 2019 was closely related with the enhancement of the tectonic activity in South Liaoning Province and the Bohai Rim region,and the enhancement of the earthquake swarm in Gaizhou region.This high-value anomaly of the hydrogen is supposed to correspond to the 2020 Guye M_S5.1 earthquake.Further,we use R-value to test the prediction efficiency of the hydrogen in Panjin 1st well.We get that the R-value of hydrogen in Panjin 1st well is 0.48,Which is higher than the R-value of the underground fluid in Liaoning Province.This suggests that the hydrogen in Panjin 1st well can be used for earthquake prediction in Liaoning Province.

参考文献/References:

车用太,刘耀炜,何钄.2015.断层带土壤气中H₂观测——探索地震短临预报的新途径[J].地震,35(4):1-10.
陈梦,杨龙翔.2020.河南豫北地区跨断层形变预报方法检验及效能评估[J].地震地磁观测与研究,41(4):121-128.
陈棋福,郑大林,高荣胜,等.2002.中国震例(1997～1999)[M].北京:地震出版社.
陈学芬,吴微微,刘雪梅,等.2020.汶川映秀地震台井孔逸出氢观测实验[J].地震研究,43(4):639-643.
崔博闻,岳晓媛,王丽红.2021.北京地区小震活动与北京及周边地区显著地震相关性研究[J].华北地震科学,39(4):87-94.
杜乐天.2005.地球排气作用的重大意义及研究进展[J].地质论评,51(2):174-180.
范树全,高清武.1980.氢气和甲烷与地震关系的实验研究[J].地震科学研究,(2):15-21.
范树全,苏盛虎,李霓.1993.京棉二厂井氦,氢气体的地震前兆异常特征及与地震关系的研究[J].地震学报,15(4):490-497.
范雪芳,张磊,李自红,等.2016.断裂带土壤气高精度氢异常分析[J].地震地质,38(2):303-315.
方震,张彬,李军辉,等.2020.地热温泉井与土壤逸出气中痕量氢的特征及差异性分析[J].地震工程学报,42(3):705-713.
冯玮,王真光,王剑秋,等.1985.在超声作用下玄武岩释放封闭氢实验研究[J].地震地质,7(4):49- 55.
高丽娟,杨又陵,刘建明,等.2013.新疆2次中强地震前的临界慢化现象研究[J].内陆地震,27(4):311-318.
焦明若,夏彩韵,王喜龙,等.2016.辽宁地区中强震预测指标体系研究[J].防灾减灾学报,32(4):1-11.
康健,肖宁,高小其,等.2019.松原5.7级地震震中区土壤氢气变化特征[J].中国地震,35(2):277-285.
柯云龙,刘耀炜,张磊,等.2018.川滇地震预报实验场高精度氢观测台阵建设分析[J].地震,38(3):35-48.
李琼,付虹,毛慧玲,等.2017.云南水温异常与M_S≥5.0地震关系研究[J].地震研究,40(2):233-240.
李新勇,朱成英,李艳萍,等.2014.新04号泉溶解气氢气异常特征分析[J].内陆地震,28(3):286-290.
林元武,翟盛华.1994.华北隐伏活动断裂H₂异常特征及其异常机制研究[J].地震地质,16(3):264-268.
刘耀炜,曹玲玲,平建军.2004.地下流体短期前兆典型特征分析[J].中国地震,20(4):372-379.
刘耀炜,范世宏,曹玲玲.1999.地下流体中短期异常与地震活动性指标[J].地震,19(1):19-25.
杉崎隆一,铃木和博,大井田徹,等.1986.地震活动与地下氢气逸出的关系[J].张魁林,译.世界地震译丛,(4):39-43.
苏小芸,陈丽君,王文才,等.2020.甘东南地区水氡浓度的临界慢化现象研究[J].地震工程学报,42(5):1104-1110.
汤兰荣,吕坚,曾新福.2017.华东地区地震条带预报效能评估[J].地震,37(4):134-143.
佟占岭,王亚男,刘建光,等.2000.辽宁岫岩—海城5.6级地震前盘锦地区地下流体异常特征[J].东北地震研究,16(2):71-78.
王博,周永胜.2017.氢气与断层活动及地震的研究进展[J].地球物理学进展,32(5):1921-192.
王喜龙,贾晓东,钱蕊,等.2020.2013年芦山M_S7.0地震前南北地震带数字化水位、水温高频信息异常特征及效能分析[J].地震,40(2):100-116.
王喜龙,焦明若,王海燕,等.2016.中强震前辽宁地区流体异常特征与地震预测研究[J].地震,36(4):131-143.
王喜龙,李营,杜建国,等.2017.首都圈地区土壤气Rn,Hg,CO₂地球化学特征及其成因[J].地震学报,39(1):85-101.
王喜龙,王海燕,李彤霞,等.2018.盘一井水氡映震效能及Rn值迁移机理分析[J].防灾减灾学报,34(4):26-33.
王熠熙,李赫,王博,等.2018.2013年岷县—漳县M_S6.6地震前水氡浓度的临界慢化现象研究[J].地震,38(1):128-138.
向阳,孙小龙,高小其,等.2018a.新疆库尔勒断层氢气浓度的影响因素及其地震预测的潜在效能评价[J].中国地震,34(1):48-59.
向阳,孙小龙,王博.2018b.基于Molchan图表法的新疆流体资料预报效能检验[J].地震,38(3):103-114.
许绍燮.1989.地震预报能力评分[C]//国家地震局科技监测司.地震预报方法实用化研究文集地震学专辑.北京:地震出版社,586-589.
晏锐,蒋长胜,张浪平.2011.汶川8.0级地震前水氡浓度的临界慢化现象研究[J].地球物理学报,54(7):1817-1826.
于渌,郝柏林.1984.相变和临界现象[M].北京:科学出版社.
张浪平,余怀忠,尹祥础,等.2010.加卸载响应比方法在结构灾变预测中的应用[J].工程力学,27(3):228-235.
张培仁,王基华.1993.氢——预报地震的灵敏元素[J].地震地质,15(1):69-77.
钟骏,王博,晏锐,等.2021.洱源温泉水氡预测效能检验及其水化学特征[J].地震研究,44(4):564-571.
Kita I,Matsuo S,Wakita H.1982.H₂ generation by reaction between H₂O and crushed rock; an experimental study on H₂ degassing from the active fault zone[J].Journal of Geophysical Research,87(B13):10789-10795.
Mcgee K A,Casadevall T J,Sato M,et al.1982.Hydrogen gas monitoring at long Valley Caldera,California[R].Technical Report,1-12.
Mcgee K A,Sutto A J,Sato M,et al.1983.Correlation of hydrogen gas emissions and seismic activity at long Valley Caldera,California[J].Eos,64(45):891.
Satake H,Ohashi M,Hayashi Y.1985.Discharge of H₂ from the atotsugawa and ushikubi faults,Japan,and its relation to earthquakes[J].Pure and Applied Geophysics,122(2-4):185-193.
Wakita H,Nakamura Y,Kita I,et al.1980.Hydrogen release:wew indicator of fault activity[J].Science,210(4466):188-190.
Xiang Y,Sun X L,Liu D Y,et al.2020.Spatial distribution of Rn,CO₂,Hg,and H₂ concentrations in soil gas across a thrust fault in Xinjiang,China[J].Frontiers in Earth Science,8:554924.
Zgonnik V.2020.The occurrence and geoscience of natural hydrogen:a comprehensive review[J].Earth-Science Reviews,203(8),103-140.
Zhou Z H,Zhong J,Zhao J,et al.2021a.Two mechanisms of earthquake induced hydrochemical variations in an observation well[J]. Water,13:2385.
Zhou X,Yan Y,Fang W,et al.2021b.Short-term seismic precursor anomalies of hydrogen concentration in Luojishan Hot Spring bubbling gas,Eastern Tibetan Plateau[J].Frontiers in Earth Science,8(586279):1-12.
Zhou Z H,Tian L,Zhao J,et al.2020.Stress-related preseismic water radon concentration variations in the Panjin observation well,China(1994-2020)[J].Frontiers in Earth Science,8:59628.

备注/Memo

备注/Memo:

收稿日期:2022-01-19
基金项目:中国地震局震情跟踪定向工作任务(2022010301、2021010303),辽宁省科技厅项目(2019010223-JH8/103)与地震科技星火计划项目(XH20003Y)联合资助.

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更新日期/Last Update: 2022-05-20