共查询到19条相似文献，搜索用时 260 毫秒
1.
选取2010—2019年赤峰市及邻区发生的884次地方震，针对该区域10个地震台站记录的5 160个地震事件，基于残差统计方法，得到各台站单台震级与中国地震台网中心发布震级的偏差、平均偏差和标准偏差，得出单台震级平均偏差随震中距的变化，进而修正研究区域地方性震级量规函数，并予以验证。结果表明，使用修正后量规函数计算的标准差（0.284）小于由原量规函数计算的标准差（0.356），且所得震级偏差分布较由原量规函数所得结果更集中，说明应用修正量规函数测定赤峰及邻区地方性震级更准确。 相似文献
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江苏及邻区地方性震级量规函数的研究 总被引：1，自引：1，他引：0
基于2009～2018年江苏及相邻数字地震台网记录的2602次地震事件观测资料,通过震级残差统计方法得到了72个台站的单台震级与台网平均震级的偏差、平均偏差和标准偏差,分析了震级偏差频次分布和定量统计结果,进而修正了江苏及邻区的地方性震级量规函数。实际地方性震级测定结果表明,使用校正后的量规函数比新震级国家标准(GB17740—2017)中量规函数所测定的震级的标准差更小,且单台震级残差相对更集中于0,这说明该量规函数有助于提高江苏及邻区地方性震级测定精度。 相似文献
4.
董卫国 《地震地磁观测与研究》1988,(1)
本文通过对1980年—1986年在宁夏及邻区发生的400次 ML=1.8—5.1的地震统计分析,修正了现行测定震级 ML 的量规函数,并得到了新的量规函数 R_3(△),同时计算了宁夏台网的台站校正值。结果表明,应用 R_3(△)和台站校正值有助于提高宁夏台网测定震级 ML 的精度,陡震级误差从0.315下降为0.254。 相似文献
5.
本文通过对1980—1986年在宁夏及邻区发生400次M_L=1.8—5.1级地震的统计分析,修正了现行测定震级M_L的量规函数,并得到了新的量规函数R_s(Δ),同时计算了宁夏台网 相似文献
6.
选取广东数字遥测地震台网自2000年1月正式运行至2007年6月记录的广东省境内及邻区368次较大的地震事件,利用msdp-dm分析软件对其进行分析处理,计算了各单台震级与台网平均震级的偏差、平均偏差和标准离差,分析了仪器、量规函数、台基诸因素产生震级偏差的主要原因。结果显示,不同类型地震仪器对震级偏差影响很小,量规函数偏差明显,在震中距0～60km内,量规函数偏差为负值;在60～380km范围内偏差不大,认为在日常大震速报中,可直接用此震中距的台站量取震级;而大于380km以后台网量规函数偏差为正。给出了台基校正值。通过对样本数归类统计、计算、分析,给出了量规函数校正值和台基校正值。 相似文献
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内蒙古地区地方性震级的量规函数研究 总被引：2，自引：1，他引：1
选取2008年1月~2015年11月内蒙古测震台网81个台站所记录的6342次地震事件,基于震级残差统计方法,计算了81个台站单台震级与台网平均震级的偏差、平均偏差和标准偏差。分析认为,BHS等6个台站震级偏差较大的原因可能是台站场地响应放大、台基风化等。台基校正前、后单台震级平均偏差值ΔMLi随震中距的变化曲线显示,曲线形态基本未有大的改变,台基校正后较之前震级平均偏差绝对值降低0.01,表明台基对地方性震级偏差的影响不大。同时,进行了81个台站的台基校正获得了内蒙古新量规函数,结果表明,全国量规函数除了震中距为0~120km时适合于内蒙古地区以外,其余情况下均偏高,不符合内蒙古地区的特征。因此,本文修定了全国量规函数,得到了校正后的内蒙古地区量规函数。 相似文献
12.
新疆数字地震台网地方性震级量规函数的初步研究 总被引：2，自引：1，他引：1
基于2009～2014年新疆测震台网数字地震记录资料,运用震级残差统计方法,选择16269个2.0≤ML≤5.4地震事件,共计获得了179561个单台记录;利用最大地动位移衰减特性方法,选用3.6≤ML≤4.5的746个地震事件作为研究对象,对新疆数字台网地方性震级量规函数进行了研究。将得出的量规函数值进行对比后认为,现阶段使用的量规函数值在0～200km的震中距范围内偏小,导致此范围内台站测定的震级偏小;在200～800km的范围内,测算的震级值较稳定,偏差范围在±0.1的范围内;在400～800km震中距范围内,由最大地动位移衰减特性方法得出的量规函数偏小。由于目前各地震台站使用的地震计仪器响应不准确,造成量规函数偏小的原因有待用计量更加准确的台站仪器响应参数进行验证,以便得到更加精确的新疆台网地方性震级量规函数。 相似文献
13.
Characteristics of coseismic water level changes at Tangshan well for the Wenchuan MS8.0 earthquake and its larger aftershocks 
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下载免费PDF全文 Baojun Yin Li Ma Huizhong Chen Jianping Huang Chaojun Zhang Wuxing Wang 《地震科学（英文版）》2009,22(2):149-157
Coseismic water level changes which may have been induced by the Wenchuan MS8.0 earthquake and its 15 larger aftershocks (MS≥?5.4) have been observed at Tangshan well. We analyze the correlation between coseismic parameters (maximum amplitude, duration, coseismic step and the time when the coseismic reach its maximum amplitude) and earthquake parameters (magnitude, well-epicenter distance and depth), and then compare the time when the coseismic oscillation reaches its maximum amplitude with the seismogram from Douhe seismic station which is about 16.3 km away from Tangshan well. The analysis indicates that magnitude is the main factor influencing the induced coseismic water level changes, and that the well-epicenter distance and depth have less influence. MS magnitude has the strongest correlation with the coseismic water level changes comparing to MW and ML magnitudes. There exists strong correlation between the maximum amplitude, step size and the oscillation duration. The water level oscillation and step are both caused by dynamic strain sourcing from seismic waves. Most of the times when the oscillations reach their maximum amplitudes are between S and Rayleigh waves. The coseismic water level changes are due to the co-effect of seismic waves and hydro-geological environments. 相似文献
14.
We studied broadband digital records of the M
W
= 7.6 Olyutorskii earthquake of April 20, 2006 and its aftershocks at local and regional distances. We have made a detailed
analysis of data on peak ground motion velocities and accelerations due to aftershocks based on records of two digital seismic
stations, Tilichiki (TLC) and Kamenskoe (KAM). The first step in this analysis was to find the station correction for soil
effects at TLC station using coda spectra. The correction was applied to the data to convert them to the reference bedrock
beneath the Kamenskoe station. The second step involved multiple linear regression to derive average relationshis of peak
amplitude to local magnitude ML and distance R for the Koryak Upland conditions. The data scatter about the average relationshis is comparatively low (0.22–0.25 log units).
The acceleration amplitudes for M
L
= 5, R = 25 km are lower by factors of 2–3 compared with those for eastern Kamchatka, the western US, or Japan. A likely cause of
this anomaly could be lower stress drops for the aftershocks. 相似文献
15.
We derive S-wave attenuation characteristics, earthquake source parameters and site amplification functions at seismic stations
used for earthquake early warning in the Irpinia–Basilicata region, using non-parametric spectral inversion of seismograms
from 49 local events with M
L = 1.5–3.1. We obtain relatively low Q values (Q
0 = 28 at a frequency of 1 Hz) in conjunction with a strong frequency-dependence (close to linear). The source spectra can
be satisfactorily modeled using the omega-square model, with stress drops ranging between 0.01–2 MPa, and in the narrow magnitude
range available for analysis, the source spectra seem to scale self-similarly. The local magnitude M
L shows a linear correlation with moment magnitude M
W, however with a systematic underestimation by about 0.5-magnitude units. The results obtained in this work provide important
insights into the ground-motion characteristics that are required for appropriate seismic hazard assessment and are of practical
relevance for a suite of applications, such as the calibration of ground-motion prediction equations or the correction for
site amplification in earthquake early warning and rapid calculation of shake-maps for seismic emergency management. 相似文献
16.
A new modified magnitude scale M
S
(20R) is elaborated. It permits us to extend the teleseismic magnitude scale M
S
(20) to the regional epicenter distances. The data set used in this study contains digital records at 12 seismic stations
of 392 earthquakes that occured in the northwest Pacific Ocean in the period of 1993–2008. The new scale is based on amplitudes
of surface waves of a narrow range of the periods (16–25 s) close to the period of 20 s, for distances of 80–3000 km. The
digital Butterworth filter is used for processing. On the basis of the found regional features concerning distance dependence
for seismic wave attenuation, all the stations of the region have been subdivided into two groups, namely, “continental” and
“island-arc.” For each group of stations, its own calibration function is proposed. Individual station corrections are used
to compensate for the local features. 相似文献
17.
ＳｔｕｄｙｏｆｃａｌｉｂｒａｔｉｏｎｆｕｎｃｔｉｏｎｆｏｒｓｕｒｆａｃｅｗａｖｅｍａｇｎｉｔｕｄｅｏｆＤＫ１ｓｅｉｓｍｏｇｒａｐｈｓＦＥＮＧＸＵＥ（薛峰）ＹＯＮＧＺＨＡＯ（赵永）ＣｅｎｔｅｒｆｏｒＡｎａｌｙｓｉｓａｎｄＰｒｅｄｉｃｔｉｏｎ，Ｓｔａｔ... 相似文献
18.
To calculate the deviations between single station magnitudes and average ones by the magnitude residual statistical method, the paper selects 13086 seismic events recorded by the Gansu broadband digital seismic network from January 2009 to December 2012. The frequency distribution and quantitative statistics of the deviations of earthquake magnitude are analyzed. The M L calibration function is modified and a uniform local magnitude system characteristic of the Gansu region, is obtained. 相似文献
19.
Data from 753 earthquakes are used to determine a relationship between surface-wave magnitude (M
s) and bodywave magnitude (m
b), and from 541 earthquakes to determine a relationship between surface-wave magnitude (M
s) and local magnitude (M
L) for China and vicinity: M
s=0.9883 m
b-0.0420, M
s=0.9919 M
L-0.1773. The relationship of M
s
versus m
b is obtained for 292 events occurred in the Chinese mainland in the time period from 1964 to 1996, 291 events occurred in
Taiwan in the time period from 1964 to 1995 and 170 events occurred in the surrounding area. Standard deviation of the fitting
is 0.445. Relationship of M
s
versus M
L is obtained for 36 events occurred in the Chinese mainland, 293 events occurred in Taiwan, China and 212 events occurred
in the surrounding area. The total amount is 541 events. Standard deviation of the fitting is 0.4673.
The uncertainties of the converted M
s in different magnitude intervals can be estimated using complementary cumulative distribution function (CCDF). In the relationship
of M
s
versus m
b, taking ±0.25 as a range of uncertainties, in magnitude interval m
b 4.0–4.9, the probabilities for the converted M
s taken value less than (M
s-0.25) and more than (M
s+0.25) are 17% and 27% respectively. Similarly, we have probabilities for m
b 5.0–5.9 are 34% and 20% and that for m
b 6.0–6.9 are 11% and 47%.
In the relationship of M
s
versus M
L, if the range of uncertainties is still taken as ±0.25, the corresponding probabilities for magnitude interval M
L 4.0–4.9 are 22% and 38%, for M
L 5.0–5.9 are 20% and 15% and for magnitude interval M
L 6.0–6.9, are 15% and 29%, respectively.
The relationships developed in this paper can be used for the conversion of one magnitude scale into another magnitude scales
conveniently. The estimation of uncertainties described in this paper is more accurate and more objective than the usual estimation
expressed by deviation. The estimations described in this paper indicate various dispersions in different magnitude intervals
of original data. The estimations of uncertainties described by probabilities can be well connected with the total estimations
of uncertainties in seismic hazard assessment. 相似文献