{"title":"基于卫星云量异常监测的强震短期预报方法的发展前景","authors":"V. Lyalko, A. Vorobiev","doi":"10.36023/ujrs.2022.9.3.217","DOIUrl":null,"url":null,"abstract":"Forecasting earthquakes of various intensities will continue to be an urgent task that has yet to bene resolved. The use of various forecasting methods makes it possible to conduct analysis and warnings more objectively and reliably. Methods of short-term prediction of strong earthquakes based on satellite monitoring of cloudiness anomalies can be used with some success. Based on the research results, it was established that before strong earthquakes, linear cloudiness anomalies are observed over the Earth's deep fault zones, which can be used for short-term earthquake forecasting. The most effective method of studying cloudiness anomalies is the use of satellite methods. As a result of the analysis of linear cloudiness anomalies, a conclusion was made about the possibility of a regional short-term forecast of strong and catastrophic earthquakes with an assessment of the possible magnitude and approximate position of the future earthquake. The reliability of the forecast depends on the tectonic structure of the region and atmospheric conditions. It is important to be able to forecast the magnitude of the future earthquake based on the length of the cloudiness anomaly. It was established that the length of the cloudiness anomaly before a catastrophic earthquake allows one to predict the magnitude, which is very important for forecasting the level of seismic danger in the coming days.","PeriodicalId":113561,"journal":{"name":"Ukrainian journal of remote sensing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prospects for developing methods for short-term forecasting of strong earthquakes based on satellite monitoring of cloudiness anomalies\",\"authors\":\"V. Lyalko, A. Vorobiev\",\"doi\":\"10.36023/ujrs.2022.9.3.217\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Forecasting earthquakes of various intensities will continue to be an urgent task that has yet to bene resolved. The use of various forecasting methods makes it possible to conduct analysis and warnings more objectively and reliably. Methods of short-term prediction of strong earthquakes based on satellite monitoring of cloudiness anomalies can be used with some success. Based on the research results, it was established that before strong earthquakes, linear cloudiness anomalies are observed over the Earth's deep fault zones, which can be used for short-term earthquake forecasting. The most effective method of studying cloudiness anomalies is the use of satellite methods. As a result of the analysis of linear cloudiness anomalies, a conclusion was made about the possibility of a regional short-term forecast of strong and catastrophic earthquakes with an assessment of the possible magnitude and approximate position of the future earthquake. The reliability of the forecast depends on the tectonic structure of the region and atmospheric conditions. It is important to be able to forecast the magnitude of the future earthquake based on the length of the cloudiness anomaly. It was established that the length of the cloudiness anomaly before a catastrophic earthquake allows one to predict the magnitude, which is very important for forecasting the level of seismic danger in the coming days.\",\"PeriodicalId\":113561,\"journal\":{\"name\":\"Ukrainian journal of remote sensing\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ukrainian journal of remote sensing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36023/ujrs.2022.9.3.217\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ukrainian journal of remote sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36023/ujrs.2022.9.3.217","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prospects for developing methods for short-term forecasting of strong earthquakes based on satellite monitoring of cloudiness anomalies
Forecasting earthquakes of various intensities will continue to be an urgent task that has yet to bene resolved. The use of various forecasting methods makes it possible to conduct analysis and warnings more objectively and reliably. Methods of short-term prediction of strong earthquakes based on satellite monitoring of cloudiness anomalies can be used with some success. Based on the research results, it was established that before strong earthquakes, linear cloudiness anomalies are observed over the Earth's deep fault zones, which can be used for short-term earthquake forecasting. The most effective method of studying cloudiness anomalies is the use of satellite methods. As a result of the analysis of linear cloudiness anomalies, a conclusion was made about the possibility of a regional short-term forecast of strong and catastrophic earthquakes with an assessment of the possible magnitude and approximate position of the future earthquake. The reliability of the forecast depends on the tectonic structure of the region and atmospheric conditions. It is important to be able to forecast the magnitude of the future earthquake based on the length of the cloudiness anomaly. It was established that the length of the cloudiness anomaly before a catastrophic earthquake allows one to predict the magnitude, which is very important for forecasting the level of seismic danger in the coming days.