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引用本文:

DOI:

10.11834/jrs.20232267

收稿日期:

2022-05-20

修改日期:

2022-12-22

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基于引潮力算法的四川泸县Ms6.0地震临震长波辐射变化研究
摘要:

2021年9月16日四川省泸县发生MS 6.0地震,利用FY-2H地面长波辐射数据产品(OLR)分析研究区8月27日至10月1日长波辐射异常分布及变化。结果显示,研究区内震中东北部最先出现异常,异常整体呈北西-南东分布;时空演化呈现出初始增温-异常加强-高峰-衰减-平静的特征,与岩石受力应变破裂所经历的微破裂-破裂-加速破裂-破裂过程演化特征吻合。结果表明,天体引潮力对此次地震具有诱发作用,长波辐射异常一定程度上表征了地震孕育过程中应力应变的辐射变化。之后,利用NOAA卫星长波辐射产品数据追踪验证异常时段(9月11日-17日),发现两者结果表现特征较为一致,进一步说明了FY-2H卫星长波辐射数据可较好地应用于地震异常监测。

A Study on the Outgoing longwave radiation changes of the Ms6.0 Luxian earthquake Based on tidal generating force
Abstract:

With the rapid development of society, the overlapping degree between the distribution of social economy and population and the impact range of earthquake disasters is gradually increasing, and the harmfulness of earthquake disasters is further highlighted. Strengthening the monitoring and prediction of earthquake disaster risk is an important means to reduce the risk of earthquake disasters. Infrared remote sensing has gradually become an important means of earthquake prediction and monitoring. On September 16, 2021, a Ms6.0 earthquake occurred in Luxian, Sichuan Province. The FY-2H surface Outgoing longwave radiation(OLR) data product was used to analyze the anomalous distribution and changes of Outgoing longwave radiation in the study area from August 27 to October1. Based on TFFA algorithm, our research extracted infrared radiation anomaly, and made a retrospective attempt at short-term and imminent earthquake monitoring and prediction. We extracted the infrared radiation anomaly that is continuous and has obvious change characteristics one week before the earthquake, and identified the development and evolution of the impending earthquake infrared anomaly. The research results show that there are cross distribution between anomaly distribution and seismic structure, and the evolution process corresponds to the thermal infrared radiation law of rock fracture. According to the extracted long wave radiation anomaly, we speculate that only when the tectonic stress accumulates to the critical state of rock fracture and sliding can the tidal force trigger the earthquake, and the extracted anomaly is very likely a manifestation of energy release in this process. With the change of tidal force, anomalies first appeared in the central and northeastern parts of the epicenter in the study area, and the anomalies were distributed in the northwest-southeast as a whole. This phenomenon and the evolution characteristics of rock stress-strain-fracture-experienced micro-fracture-fracture-accelerated fracture-fracture process are consistent. The results show that the tidal force of celestial bodies has an induced effect on the earthquake, and the anomaly of long-wave radiation may be the radiation characterization of stress and strain in the process of earthquake incubation. In the process of extracting seismic radiation anomaly, the selection of background day has a decisive influence on the results. This case study belongs to retrospective analysis, so in this paper, the type of seismogenic fault is determined by the focal mechanism after the earthquake, and then the background date is determined. If this method is used for anomaly monitoring and prediction before earthquakes, the fault database can be obtained to judge the fault properties of the study area, and the background date can be selected according to the fault properties. After that, the abnormal period (September 11-17) was tracked and verified by using NOAA satellite OLR product data, and it was found that the characteristics of the two results were relatively consistent, which further demonstrated that the FY-2H satellite OLR data can be better applied to seismic anomaly monitoring, and also showed that the FY-2H single point time OLR data product has a good effect on monitoring the thermal anomaly, which further reflects the feasibility of the domestic satellite to conduct short-term and imminent earthquake prediction research. It provides a good application case for promoting the operational application of domestic satellite seismic monitoring and prediction.

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