STUDY ON THE CORRELATION BETWEEN EMERGENCY MONITORING AND GUIDANCE OF POST DISASTER LANDSLIDE AND POST DISASTER ANXIETY BASED ON REMOTE GROUND LASER SCANNING

• Published in: The international journal of neuropsychopharmacology Vol. 25; no. Supplement_1; pp. A38 - A39
• Main Authors: Bai, Pengjun, Wan, Chenghui, Zou, JianHeng, Guan, Hongzhi, Li, Peicheng
• Format: Journal Article
• Language: English
• Published: US Oxford University Press 01.07.2022
• Subjects: Anxiety; Design; Disasters; Emergency communications systems; Emotional regulation; Experiments; Landslides & mudslides; Life satisfaction; Prevention; Self evaluation; Self-efficacy; China
• ISSN: 1461-1457; 1469-5111
• DOI: 10.1093/ijnp/pyac032.053

Abstract Background With the rapid development of China's national economy, people pay more and more attention to disaster prevention and reduction and the impact of landslide disasters. Before the construction of various projects, disaster investigation, assessment and prediction shall be carried out to avoid in advance as much as possible, or necessary preventive measures shall be taken to prevent and reduce the occurrence of disasters as much as possible. The internal causes and treatment of landslide are studied from the aspects of point-to-point, line surface comprehensive prediction and disaster prevention and control. At the same time, the landslide damaged by high-speed and long-distance is also deeply studied. In particular, the prediction of landslide occurrence time has made a breakthrough, forming a theoretical system from treatment to prevention. However, the landslide geological disaster directly endangers the production and life of the people in the disaster area and causes psychological trauma. Accurate monitoring of micro deformation before landslide is of great significance to landslide early warning system. When using ground laser scanning (TLS) technology for landslide monitoring, the traditional point cloud data processing results, that is, comparing the changes of landslides between different surfaces, have a great deviation from the actual monitoring values. Research Objects and Methods This paper proposes a method to compare landslide changes by extracting the surface feature points of the monitoring object, and designs two verification experiments, namely Experiment 1 carton tilt change experiment under different design angles and Experiment 2 landslide physical model experiment. Then, in two experiments, this method is used to extract feature points with the same name. Finally, the change of inclination and the settlement of landslide are calculated. In order to test the impact of emotional behavior, this study selected subjects stimulated after the disaster, and selected 60 subjects, including 30 men and 30 women. We used the anxiety scale designed by Kim as the measurement scale, and evaluated the scale by Likert scoring method. Pearson correlation, standard deviation and statistical significance were used to illustrate the correlation. Independent sample t-test was used to verify the difference between high anxiety group and low anxiety group. According to the statistical value of anxiety, participants were divided into three groups: low, medium and high anxiety groups. The questionnaire includes two kinds of anxiety, namely debilitating anxiety and promoting anxiety. The relationship between anxiety and self-efficacy of subjects with different majors and genders was investigated by t-test, univariate, multivariate analysis of variance and regression analysis. Results Using the method proposed in this paper, the change of carton inclination in Experiment 1 and the settlement of landslide surface in different periods in Experiment 2 are obtained, and the error of the results is analyzed to verify the feasibility of the method proposed in this paper. Test participants can effectively alleviate psychological stress and prevent depression. The data showed that the DASS-21 comprehensive score of subjects participating in the test was 1.7 times that of subjects not participating in the test. In contrast, without participation, they are more likely to show depression, anxiety and stress, and tend to be passive in simple coping styles. The improved method can effectively alleviate the psychological pressure of employees and improve the ability to actively deal with pressure. Through the correlation analysis of emotion regulation ability, the data results show that structural equation model is used to investigate the mediating role of core self-evaluation and emotion regulation self-efficacy between stressful life events and life satisfaction. The maximum likelihood estimation method is used to estimate the intermediary effect. The results show that the fitting indexes of this model are χ 2=314.015, df=218, χ 2/df=1.44, CFI=0.958, TLI=0.94, RMSEA=0.043. All paths in the model are significant. According to the effect decomposition principle of path analysis, the total effect from stressful life events to life satisfaction is equal to direct effect plus indirect effect. The total indirect effect in this study is equal to the sum of three specific mediating effects, which is -0.299. The proportion of indirect effect in the total effect is -0.299 / (-0.469) + (-0.299) = 0.389, that is, 38.9% of the effect of stressful life events on life satisfaction is through core self-evaluation and emotion regulation self-efficacy. Conclusion Using the method proposed in this paper, the visual expression of the internal cause of landslide is realized. This method can calculate the displacement and inclination of key parts in different periods, and obtain the stable state of the monitoring object through comparative analysis. It is consistent with the traditional analysis method, but it improves the efficiency and accuracy, provides reliable data support for the subsequent landslide prediction, and avoids people's property loss and psychological trauma to the greatest extent. Acknowledgement This work was financially supported by the Research Foundation of Education Bureau of Jiangxi Province, China (No. GJJ190944) and the National Natural Science Foundation of China Regional Science Fund Project (42162023).