云南省昆明地區(qū)地震密集特征分析
發(fā)布時間：2019-04-17 12:11
【摘要】：地震活動性研究是通過對地震觀測系統(tǒng)(如地震臺網(wǎng))記錄到的或者歷史資料中記載的地震事件發(fā)生的時間、空間和強度等基本的數(shù)據(jù)進(jìn)行分析,總結(jié)出這些參數(shù)之間的規(guī)律的工作。無論是從空間還是時間尺度上,地震事件的分布都是極其不均勻的。在有些地方地震活動強烈,而在另一些地方地震活動則很微弱。通過地震活動特征分析,我們可以了解地震活動的基本規(guī)律,進(jìn)而對大震強震的規(guī)律進(jìn)行分析。地震所造成的破壞十分嚴(yán)重,因此對地震活動性的研究對地震危險性分析、歷史地震事件的參數(shù)確定等具有實際意義。在地震活動性的研究中,許多研究者采用了多種方法對其進(jìn)行研究。從研究方法的性質(zhì)進(jìn)行劃分,地震活動性研究方法可以分為地震活動性定性研究方法和震活動性定量研究方法。在眾多的研究方法中,區(qū)域網(wǎng)格點密集值算法是對地震活動特征分析的行之有效的方法。該方法提出后,經(jīng)過多年的完善優(yōu)化,已經(jīng)應(yīng)用于中國華北地區(qū)的地震活動性研究(王健,2001;王健等,2004;王健等,2004;王健,2007),并取得了顯著成果。區(qū)域網(wǎng)格點密集值算法通過計算研究區(qū)域網(wǎng)格節(jié)點的地震密集值Vj并以此為依據(jù)對密集區(qū)域進(jìn)行劃分。在對密集區(qū)域的詳細(xì)的時空分布進(jìn)行研究后,該方法可以進(jìn)一步分析密集區(qū)的類型以及成因,進(jìn)而對整個研究區(qū)域的地震活動性特征建立整體的了解。此外,本文還針對區(qū)域網(wǎng)格點密集值法與大震強震的震中的關(guān)系進(jìn)行了討論,在一定程度上對1833年8級地震的震中經(jīng)緯度進(jìn)行了修正,并對研究區(qū)內(nèi)可能遺漏的歷史地震事件的大致位置進(jìn)行了分析。在此基礎(chǔ)上,本文為更加清晰地了解地震密集隨時間的動態(tài)演化特征,提出了地震密集掃描圖的方法。通過對該方法所提供的信息進(jìn)行分析,本文發(fā)現(xiàn)地震密集隨時間的動態(tài)演化特征表現(xiàn)為類似于“擴散”的特征,并將這種特征定義為“地震密集擴散”。通過研究地震密集隨截止時間的變化特征,本文發(fā)現(xiàn)“地震密集擴散”具有一定的方向性。此外,在本文還針對強震前后地震密集的變化進(jìn)行了分析,認(rèn)為6級左右的強震發(fā)生前往往存在著相應(yīng)的地震密集背景。最后,本文針對雙差地震定位方法與區(qū)域網(wǎng)格點密集值算法的結(jié)合性進(jìn)行了初步討論,但由于相關(guān)數(shù)據(jù)較少,因此雙差地震定位方法是否可以提高區(qū)域網(wǎng)格點密集值算法的精度還有待進(jìn)一步討論。
[Abstract]:Seismicity studies are based on the analysis of the time, space and intensity of seismic events recorded by seismic observation systems (such as seismic networks) or recorded in historical data. Summarize the work of the law between these parameters. The distribution of seismic events is extremely uneven both in space and on time scale. Earthquake activity is strong in some places, but weak in others. By analyzing the characteristics of seismic activity, we can understand the basic rules of seismic activity, and then analyze the law of strong earthquakes. The damage caused by earthquakes is very serious, so the study of seismicity is of practical significance to the analysis of seismic risk and the determination of parameters of historical earthquake events. In the study of seismicity, many researchers have used many methods to study it. The seismicity research method can be divided into qualitative seismicity research method and seismicity quantitative research method according to the nature of the research method. Among the many research methods, the regional grid point density algorithm is an effective method to analyze the seismic activity characteristics. The method has been applied to the study of seismicity in North China after years of improvement and optimization (Wang Jian, 2001; Wang Jian et al., 2004; Wang Jian, 2007), and remarkable achievements have been achieved in the study of seismicity (Wang Jian, 2001; Wang Jian, et al. 2004; Wang Jian et al., 2004; Wang Jian, 2007). The regional grid point density algorithm (Vj) is used to calculate the seismic density value (Vj) of regional grid nodes and divide the dense regions according to this algorithm. After the detailed spatio-temporal distribution of the dense area is studied, this method can further analyze the types and causes of the dense area, and then establish an overall understanding of the seismicity characteristics of the whole study area. In addition, the relationship between the regional grid point density method and the epicenter of the strong earthquake is also discussed in this paper. To a certain extent, the latitude and longitude of the epicenter of the 1833 earthquake with M = 8 have been corrected. The general location of the historical earthquake events that may be missed in the study area is analyzed. On this basis, in order to understand the dynamic evolution characteristics of earthquake density with time more clearly, a method of seismic intensive scanning map is proposed in this paper. Through the analysis of the information provided by this method, it is found that the dynamic evolution of earthquake density with time is similar to that of "diffusion", and this feature is defined as "earthquake intensive diffusion". By studying the characteristics of earthquake density with the cut-off time, it is found that the "earthquake-intensive diffusion" has a certain directivity. In addition, this paper also analyzes the earthquake-intensive changes before and after the strong earthquakes. It is concluded that the strong earthquakes with M _ S6 or so have a corresponding background of earthquake-intensive occurrence. Finally, the combination of double-difference seismic location method and regional grid point density algorithm is discussed in this paper. However, due to the lack of correlation data, this paper discusses the combination of two-difference seismic location method and regional grid point density algorithm. Therefore, whether the double-difference seismic location method can improve the accuracy of the regional grid point density algorithm remains to be further discussed.
【學(xué)位授予單位】：中國地震局地球物理研究所
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：P315
本文編號：2459419
[Abstract]:Seismicity studies are based on the analysis of the time, space and intensity of seismic events recorded by seismic observation systems (such as seismic networks) or recorded in historical data. Summarize the work of the law between these parameters. The distribution of seismic events is extremely uneven both in space and on time scale. Earthquake activity is strong in some places, but weak in others. By analyzing the characteristics of seismic activity, we can understand the basic rules of seismic activity, and then analyze the law of strong earthquakes. The damage caused by earthquakes is very serious, so the study of seismicity is of practical significance to the analysis of seismic risk and the determination of parameters of historical earthquake events. In the study of seismicity, many researchers have used many methods to study it. The seismicity research method can be divided into qualitative seismicity research method and seismicity quantitative research method according to the nature of the research method. Among the many research methods, the regional grid point density algorithm is an effective method to analyze the seismic activity characteristics. The method has been applied to the study of seismicity in North China after years of improvement and optimization (Wang Jian, 2001; Wang Jian et al., 2004; Wang Jian, 2007), and remarkable achievements have been achieved in the study of seismicity (Wang Jian, 2001; Wang Jian, et al. 2004; Wang Jian et al., 2004; Wang Jian, 2007). The regional grid point density algorithm (Vj) is used to calculate the seismic density value (Vj) of regional grid nodes and divide the dense regions according to this algorithm. After the detailed spatio-temporal distribution of the dense area is studied, this method can further analyze the types and causes of the dense area, and then establish an overall understanding of the seismicity characteristics of the whole study area. In addition, the relationship between the regional grid point density method and the epicenter of the strong earthquake is also discussed in this paper. To a certain extent, the latitude and longitude of the epicenter of the 1833 earthquake with M = 8 have been corrected. The general location of the historical earthquake events that may be missed in the study area is analyzed. On this basis, in order to understand the dynamic evolution characteristics of earthquake density with time more clearly, a method of seismic intensive scanning map is proposed in this paper. Through the analysis of the information provided by this method, it is found that the dynamic evolution of earthquake density with time is similar to that of "diffusion", and this feature is defined as "earthquake intensive diffusion". By studying the characteristics of earthquake density with the cut-off time, it is found that the "earthquake-intensive diffusion" has a certain directivity. In addition, this paper also analyzes the earthquake-intensive changes before and after the strong earthquakes. It is concluded that the strong earthquakes with M _ S6 or so have a corresponding background of earthquake-intensive occurrence. Finally, the combination of double-difference seismic location method and regional grid point density algorithm is discussed in this paper. However, due to the lack of correlation data, this paper discusses the combination of two-difference seismic location method and regional grid point density algorithm. Therefore, whether the double-difference seismic location method can improve the accuracy of the regional grid point density algorithm remains to be further discussed.
【學(xué)位授予單位】：中國地震局地球物理研究所
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：P315
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