面向公众的地震应激水平与影响因素评估

栗婧, 朱经政, 申彤

清华大学学报(自然科学版) ›› 2024, Vol. 64 ›› Issue (11) : 1893-1901.

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清华大学学报(自然科学版) ›› 2024, Vol. 64 ›› Issue (11) : 1893-1901. DOI: 10.16511/j.cnki.qhdxxb.2024.26.021
专题:公共安全科学与技术

面向公众的地震应激水平与影响因素评估

  • 栗婧, 朱经政, 申彤
作者信息 +

Assessment of earthquake stress levels and influencing factors for the public

  • LI Jing, ZHU Jingzheng, SHEN Tong
Author information +
文章历史 +

摘要

多年来中国地震事故发生不断, 带来了严重的事故伤亡和损失。由于公众对地震环境陌生和恐惧, 易产生严重的应激反应, 使地震自救知识难以发挥作用。该文通过地震场景模拟, 采用呼吸和肌电测量的数据定量计算地震应激水平, 通过与文献整理得出的应激水平影响因素进行关联分析、 回归分析, 得到各影响因素的重要度排序, 并依据显著因素对改善地震应激反应给出建议。实验结果表明: 在生理测量的17项指标中共有12项有效指标, 其中包含呼吸动作幅度的最小值、 平均值、 标准差、 方差和平均频率, 以及肌电的最大值、 最小值、 平均值、 标准差、 方差、 平均绝对值和均方根值。在影响因素中, 应急技能(67.9%)、 地震培训(58.4%)、 情绪稳定性(44.8%)、 视觉反应力(39.8%)、 听觉反应力(39.0%)和记忆力(30.5%)为影响公众地震应激水平的6项显著因素。该结果为研究人员提供了地震应激水平评估的实验设计与计算方法, 也为公众筛选了能够有效改善地震应激反应的因素并提出了相关建议。通过有效改善应激反应, 公众在地震时可以冷静应对, 积极自救。

Abstract

[Objective] Over the years, earthquake accidents have emerged as significant geological disasters, causing substantial and persistent human casualties and property losses that are difficult to avoid. Despite the growing public awareness regarding the importance of acquiring earthquake self-rescue knowledge and skills, practical improvements are not yet evident. This is attributed to the inherent fear in humans in response to intense stimuli from earthquake disasters, leading to severe stress reactions that hinder the execution of self-rescue actions, making the effective application of earthquake self-rescue knowledge challenging. [Methods] This study focuses on assessing and improving stress levels among the public while facilitating the smooth execution of self-rescue actions during real earthquake scenarios. This study involved 16 male and 16 female participants who conducted simulated experiments at an earthquake experience center. The experimental process included baseline measurements, measurements during progressive seismic events of magnitudes 3-7, and measurements during seismic intermissions. Respiratory and electromyographic measurements were used to collect data on the neural and behavioral dimensions of stress during baseline and stress periods. Significance analysis was conducted using the paired samples Wilcoxon signed rank test to time-domain and frequency-domain indicators that exhibited differences. Individual seismic stress level reference values were calculated on the basis of fluctuations in individual data compared with the overall data. Using the K-means clustering method, the distribution of different stress response levels was determined. In addition, the paper reviewed previous research findings and constructed the “S-O-R-A” earthquake “stimulus-response” model, which encompasses earthquake risk information perception, risk information understanding, self-rescue decision-making, and self-rescue execution stages. The study identified 13 factors related to seismic stress levels, including basic qualities, emergency knowledge, skills, experience, awareness, personality, emotional stability, visual reactivity, auditory reactivity, attention, memory, thinking, and physical fitness. An experimental plan was established for measurement based on the Jinshuju platform, PsyLAB, and the BCS-400 digital backforce gauge. By correlating seismic stress level reference values with influencing factors using Kendall's Tau-b method and employing multiple linear regression analysis, we ranked the importance of each influencing factor and provided recommendations based on significant factors for improving earthquake stress responses. [Results] Physiological measurements revealed that indicators such as minimum value, mean value, standard deviation, variance, and mean frequency in respiratory signals, as well as maximum value, minimum value, mean value, standard deviation, variance, root mean square, and mean absolute value in electromyographic signals, exhibited differences during the experimental process, indicating their effectiveness as indicators for calculating stress levels. Based on regression analysis results, among the influencing factors, emergency skills (67.9%), earthquake training (58.4%), emotional stability (44.8%), visual reaction power (39.8%), auditory reaction power (39.0%), and memory (30.5%) were the six most significant factors affecting seismic stress levels in the public. Furthermore, to help the public overcome stress responses, the study proposed 12 recommendations, including “establishing popular science channels, innovating educational works, enhancing training participation, promoting practical training, improving memory capacity, strengthening cognitive memory, emphasizing technological empowerment, optimizing visual training, conducting specialized courses, enhancing auditory reaction, prioritizing psychological counseling, and conducting psychological construction,” and presented a mind map. [Conclusions] This study provides researchers with experimental design and calculation methods for assessing seismic stress levels while identifying factors that effectively improve earthquake stress responses and offering recommendations to the public. By effectively improving stress responses, the public can utilize their acquired self-rescue knowledge and skills, thereby enhancing their response to earthquakes.

关键词

地震灾害 / 应激反应 / 生理测量 / 公众安全 / 应急科普

Key words

earthquake disaster / stress reaction / physiological measurement / public safety / emergency science popularization

引用本文

导出引用
栗婧, 朱经政, 申彤. 面向公众的地震应激水平与影响因素评估[J]. 清华大学学报(自然科学版). 2024, 64(11): 1893-1901 https://doi.org/10.16511/j.cnki.qhdxxb.2024.26.021
LI Jing, ZHU Jingzheng, SHEN Tong. Assessment of earthquake stress levels and influencing factors for the public[J]. Journal of Tsinghua University(Science and Technology). 2024, 64(11): 1893-1901 https://doi.org/10.16511/j.cnki.qhdxxb.2024.26.021

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基金

教育部产学合作协同育人项目(220705329280548);中央高校基本科研业务费专项资金资助(2023ZKPYAQ01)

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