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地震 ›› 2024, Vol. 44 ›› Issue (3): 138-155.doi: 10.12196/j.issn.1000-3274.2024.03.010

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不同赋存形式H2映震特征及机理分析

李娜1, 向阳2, 李新勇1, 汪成国1   

  1. 1.新疆维吾尔自治区地震局, 新疆 乌鲁木齐 830011;
    2.中国矿业大学, 北京 100083
  • 收稿日期:2024-04-15 接受日期:2024-06-27 出版日期:2024-07-31 发布日期:2024-08-28
  • 通讯作者: 汪成国, 高级工程师。 E-mail: 15709918384@163.com
  • 作者简介:李娜(1986-), 女, 新疆阿勒泰人, 工程师, 主要从事地震地下流体监测与预测研究。
  • 基金资助:
    新疆北天山地震构造带地球化学特征与震情强化跟踪技术研究项目(731034)

Reflecting Earthquake Characteristics and Mechanism Analysis of Different Occurrence Forms of H2

LI Na1, XIANG Yang2, LI Xin-yong1, WANG Cheng-guo1   

  1. 1. Earthquake Agency of Xinjiang Uygur Autonomous Region, Urumqi 830011, China;
    2. China University of Mining and Technology, Beijing 100083, China
  • Received:2024-04-15 Accepted:2024-06-27 Online:2024-07-31 Published:2024-08-28

摘要: 乌鲁木齐04泉水中溶解气H2和阿克苏断层土壤气H2监测点均属新疆地震监测预报评估A类。 本文以二者为研究对象, 分析不同赋存形式H2浓度的动态变化特征; 利用R值评分方法和Molchan图表法对H2浓度进行映震效能检验, 并提取异常指标; 探讨和分析不同赋存形式H2的映震机理。 结论如下: 乌鲁木齐04泉水中溶解气H2浓度受气象因素影响较小, 而阿克苏断层土壤气H2浓度受气压和气温双重影响, 其中以气温影响为主。 R值评分方法和Molchan图表法检验显示, 两个监测点均具有较好的短期预测效能。 H2浓度测项具有较好的短临预测效能, 这得益于H2的物理化学性质稳定且迁移速度极快。

关键词: 地震监测, H2, 影响因素, 映震效能, 异常指标, 机理

Abstract: Both dissolved H2 in the Urumqi 04 spring water and the H2 in the soil of the Aksu fault belong to the A-type monitoring points of Xinjiang earthquake monitoring, prediction, and evaluation. This paper takes the two as research objects, and analyzes the dynamic variation characteristics of H2 concentration in different occurrence forms. The R-value scoring method and Molchan chart method were used to test the earthquake-reflecting efficiency of H2 concentration and to extract abnormal indexes. The mechanism of H2 reflecting earthquakes in different occurrence forms is discussed and analyzed. The conclusions are as follows: The concentration of dissolved H2 in the Urumqi 04 spring water is less affected by meteorological factors, while the concentration of H2 in the soil of the Aksu fault is influenced by both air pressure and air temperature, mainly by air temperature. The R-value scoring method and Molchan chart method showed that both monitoring points had good short-term prediction efficiency. The good short-term prediction performance of H2 measurement is due to the stable physical and chemical properties of H2 and its extremely fast migration speed.

Key words: Earthquake monitoring, H2, Influencing factors, Earthquake reflecting efficiency, Abnormal index, Mechanism

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