Analysis and Study on the Change of the Observed Geo-electric Field Data at Lhasa Geomagnetic Station before and after the Nepal MS8.1 Earthquake

In this paper,the main purpose is to analyze and research the characteristics of the geoelectric field observed data with a long time span and large amplitude abnormal change,at the Lhasa geomagnetic station( hereafter referred to as "Lhasa station "),before and after the Nepal M_S8. 1 strong earthquake,which occurred on April 25,2015. Based on the observation conditions,the observation system,and the observed data of Lhasa station preliminary discussed,the main characteristics of the abnormal change and evolution process are analyzed and studied,using the following two methods; the "synthesis energy accumulation"and the "power as MSA spectrum"analysis,from the two aspects of the"Time Domain"and"Frequency Domain. "The results show that the abnormal change of the geo-electric field observation of Lhasa station experienced a development stage following the process of "trend change- disturbance change- earthquake period-recovery period",and an evolution process of "low frequency change- high frequency change- smooth change- high frequency change ",before and after the Nepal M_S8. 1strong earthquake. Comprehensive analysis shows that the variation characteristics and evolution process of the geo-electric field at Lhasa station are basically consistent with the results of the relevant mechanism and phenomenon research. So far,this is valuable information with certain objectivity,which is typical and representative to reflect the whole process of the gestation, occurrence and complete development of such strongearthquakes.

The Co-seismic Response of Underground Fluid in Yunnan to the Nepal MS8.1 Earthquake

In this paper,statistics are taken on the co-seismic response of underground fluid in Yunnan to the Nepal M_S8. 1 earthquake,and the co-seismic response characteristics of the water level and water temperature are analyzed and summarized with the digital data. The results show that the Nepal M_S8. 1 earthquake had greater impact on the Yunnan region,and the macro and micro dynamics of fluids showed significant co-seismic response. The earthquake recording capacity of water level and temperature measurement is significantly higher than that of water radon and water quality to this large earthquake; the maximum amplitude and duration of co-seismic response of water level and water temperature vary greatly in different wells. The changing forms are dominated by fluctuation and step rise in water level,and a rising or falling restoration in water temperature. From the records of the main shock and the maximum strong aftershock,we can see that the greater magnitude of earthquake,the higher ratio of the occurrence of co-seismic response,and in the same well,the larger the response amplitude,as well as the longer the duration. The amplitude and duration of co-seismic response recorded by different instruments in a same well are different. Water temperature co-seismic response almost occurred in wells with water level response,indicating that the well water level and water temperature are closely related in co-seismic response,and the well water temperature seismic response was caused mainly by well water level seismic response.

Damage characteristics and seismic capacity of buildings during Nepal M_s 8.1 earthquake

The extensive damage to buildings caused by the Nepal Ms8.1 earthquake has attracted much attention by the international community.Afterthe preliminary scientific investigations on the different affected areas inNepal,the construction and damage characteristics of five different types of buildings commonly existing in Nepal were discussed and the reasons of their disaster performance were analyzed.Types of buildings investigated include reinforced concrete(RC) frame structures,rubble structures,brick-wood structures,raw soil structures,and brick-wood structures of historic buildings.In addition,the weak links of the seismic design were pointed out,which was very important for the post-earthquake reconstruction and recovery,and gave a preliminary explanations for the damage experienced.

Preliminary analysis on characteristics of coseismic deformation associated with MS=8.1 western Kunlunshan Pass earthquake in 2001

Based on the analysis of coseismic deformation in the macroscopic epicentral region extracted by Differential Interferometric Synthetic Aperture Radar (D-InSAR), and combined with the seismic activity, focal mechanism solutions of the earthquake and field investigation, the characteristic of coseismic deformation of MS=8.1 western Kunlunshan Pass earthquake in 2001 was researched. The study shows that its epicenter lies in the northeast side of Hoh Sai Hu; and the seismogenic fault in the macroscopic epicentral region can be divided into two central deformation fields: the west and east segments with the lengths of 42 km and 48 km, respectively. The whole fault extends about 90 km. From the distribution of interferometry fringes, the characteristic of sinistral strike slip of seismogenic fault can be identified clearly. The deformations on both sides of the fault are different with an obviously higher value on the south side. In the vicinity of macroscopic epicenter, the maximum displacement in look direction is about 288.4 cm and the minimum is 224.0 cm; the maximum sinistral horizontal dislocation of seismogenic fault near the macroscopic epicenter is 738.1 cm and the minimum is 551.8 cm.

Co-seismic deformation for the 2015 M_(W)7.8 Gorkha earthquake(Nepal)using near-field GPS data

Seasonal variations and common mode errors affect the precision of the Global Positioning System(GPS)time series.In this paper,we explore to improve the precision of coordinate time series,thereby providing a better detection of weak or transient deformation signals,particularly co-seismic signals.Based on 97 GPS stations,including the campaign and continuous GPS stations in Nepal and southern Tibet,we first consider seasonal variations and common errors,then obtain co-seismic deformation of the 2015 Gorkha earthquake in Nepal and southern Tibet.Our co-seismic rupture model is characterized by a shallow ramp and a deeper detachment fault,in agreement with the relocated aftershock sequence.Our results indicate that the earthquake rupture is mainly distributed in the upper-crustal fault,and the maximum slip is up to 8.0 m at~15.0 km depth located in the approximate-80 km east of the epicenter.The average slip is more than 5 m,and the total modelled magnitude is M_(W)7.84,consistent with the observed seismic moment.Our rupture model for the 2015 Gorkha earthquake suggests that the rupture zone is not only in the upper crustal Main Himalayan Thrust(MHT),but also spreads to the northern segment of the MHT.

Effect of Kunlun Ms 8.1 earthquake on crustal deformation in northeastern edge region of Qinghal-Tibet plateau

Seismic fault parameters can be inversed with Okada model based on deformation data before and after earthquakes in focal region and its adjacent area. Co-seismic displacements can be simulated by using these parameters,and then regional velocity field obtained by deducting the co-seismic displacements from the observed displacements by GPS method. We processed and analyzed the data in the northeastern edge region of the Qinghai-Tibet plateau observed during 2001 -2003 in two steps： firstly, the displacements generated by Kunlun MsS. 1 earthquake of 2001 in this region was simulated, and secondly, deducted the co-seismic displacements from it and obtained the horizontal crustal velocity field. The results reveal ： 1 ） the effect of Kunlun Ms8.1 earthquake on crustal deformation in this region is significant; 2 ）the velocity field obtained with this method is better than the original GPS velocity field in reflecting the status of regional crustal movement and strain.

The NE Directed Seismicity Belt in Tibet after the M_S8.1 Nepal Earthquake and Its Predictive Significance

After the 2015 M_S8. 1 Nepal earthquake,a strong and moderate seismicity belt has formed in Tibet gradually spreading along the northeast direction. In this paper,we attempt to summarize the features and investigate the primary mechanism of this behavior of seismic activity,using a 2-D finite element numerical model with tectonic dynamic settings and GPS horizontal displacements as the constraints. In addition,compared with the NEtrending seismicity belt triggered by the 1996 Xiatongmoin earthquake,we discuss the future earthquake hazard in and around Tibet. Our results show that: the NE-directed seismicity belt is the response of enhanced loading on the anisotropic Qinghai-Tibetan plateau from the Indian plate and earthquake thrusting. Also,this possibly implies that a forthcoming strong earthquake may fill in the gaps in the NE-directed seismicity belt or enhance the seismic hazard in the eastern( the north-south seismic zone) and western( Tianshan tectonic region) parts near the NE-directed belt.

Analysis on Characteristics of Seismic Damage of the Nepal M_S8.1 Earthquake in the Tibet Area of China

On April 25,2015,a M_S8. 1 earthquake occurred in Nepal. In the Tibet area of China,this earthquake caused heavy casualties and damage to housing,roads,communications,other lifeline engineering, water conservancy and other infrastructure. This paper introduces the basic situation of the earthquake,and based on the investigation and assessment of seismic intensity,the damage of the disaster area is analyzed,and building types and damage to the lifeline systems and various industries are given. Through the analysis of the characteristics of the earthquake disaster,this paper points out the existing problems in seismic fortification,and finally puts forward proposals for the prevention and control of earthquake geological disasters, scientific planning for the restoration and reconstruction,strengthening earthquake prevention and disaster reduction propaganda,improving the awareness of earthquake preparedness in the agricultural and pastoral areas,strengthening the guidance and supervision of housing construction in rural areas to reduce the casualties and losses,and promoting the harmonious development of economy in Tibet.

昆仑山口西Ms8.1地震的地壳变形特征

利用全球定位系统 1991～ 2 0 0 1年及震后 4期GPS观测数据 ,获得了 2 0 0 1年 11月 14日昆仑山口西地震 (Ms8.1)的同震和震后形变运动图像。跨破裂带GPS网最近两点测得的最大同震形变为 1.9m左右 ,而震后 4个月断层蠕滑引起的变形约为 80mm。破裂带两侧震后变形幅度具有非对称性 ,南侧震后变形基本是北侧的 2～ 3倍。研究结果显示破裂带南盘在震后向偏东方向有明显移动 ,预示本次地震后能量的重新分配与积累 ,根据近几十年以来东昆仑断裂带的大地震由西向东扩展的特点 ,未来地震有向东迁移的可能。

2015年4月25日尼泊尔MS8.1大地震的同震效应

应用有限单元方法,计算了2015年尼泊尔MS8.1大地震发生产生的同震变形和应力变化.计算中考虑地球为球体以确保远场应力场变化得到可靠结果,采用PREM模型的地球分层模型,考虑了中国地震局(CEA)和美国地质调查局(USGS)各自提供的断层滑动模型.结果表明:尼泊尔MS8.1地震是一个比较典型的低角度逆冲地震,水平位移和应力降较大;地震造成南北方向上的水平位移最突出,且集中在首都加德满都附近区域.USGS断层滑动模型地表最大位移量达到3.5m,CEA滑动模型最大为1.2m;东西向和垂直方向上的同震位移相对较小;同震位移量级在0.1m的影响区域可达300km;地震造成尼泊尔地区最大库仑应力变化可达到MPa量级,地震危险性依然较大.此次MS8.1地震对我国西藏地区有一定影响,特别是雅鲁藏布江地区和拉萨块体南北走向的正断层,库仑应力变化为正,量级可达数千帕乃至十余千帕,应该注意该区被诱发中强震的可能性.

Preliminary analysis on characteristics of coseismic deformation associated with M_S=8.1 western Kunlunshan Pass earthquake in 2001

Based on the analysis of coseismic deformation in the macroscopic epicentral region extracted by Differential Interferometric Synthetic Aperture Radar (D-InSAR), and combined with the seismic activity, focal mechanism solutions of the earthquake and field investigation, the characteristic of coseismic deformation of MS=8.1 western Kunlunshan Pass earthquake in 2001 was researched. The study shows that its epicenter lies in the northeast side of Hoh Sai Hu; and the seismogenic fault in the macroscopic epicentral region can be divided into two central deformation fields: the west and east segments with the lengths of 42 km and 48 km, respectively. The whole fault extends about 90 km. From the distribution of interferometry fringes, the characteristic of sinistral strike slip of seismogenic fault can be identified clearly. The deformations on both sides of the fault are different with an obviously higher value on the south side. In the vicinity of macroscopic epicenter, the maximum displacement in look direction is about 288.4 cm and the minimum is 224.0 cm; the maximum sinistral horizontal dislocation of seismogenic fault near the macroscopic epicenter is 738.1 cm and the minimum is 551.8 cm.

尼泊尔Ms8.1地震前我国西藏及周边区域的重力长期变化

根据1998~2013中国地壳运动观测网络、中国数字地震观测网络工程和中国大陆构造环境监测网络流动重力观测成果,给出了中国西藏及周边地区的重力年变率分布。结合青藏高原冰川消融和高原湖泊水位变化,估算了由陆地水储量变化引起的区域重力效应。基于50km平滑半径的高斯滤波,给出了测区内15a时间尺度的重力变化空间分布,并初步探讨了尼泊尔Ms8.1地震孕育的重力场长期背景趋势变化。结果表明：1）流动重力典型测点的时间序列表现出明显的线性变化特征,表明测点附近区域的长期重力变化以线性上升趋势为主,反映了区域重力逐年累积增加的背景效应;2）中国西藏及周边区域的重力长期变化在空间分布上具有显著的不均匀性和分区现象,这与青藏高原复杂的变形构造和动力学系统密切相关。喜马拉雅活动构造带在15a时间尺度上明显呈正重力变化趋势,可能与印度板块与欧亚板块存在的持续挤压变形引起的地下物质重新分布与调整有关,反映了大震孕育过程中地壳变形和介质变化引起的震区周围应力与能量的累积。

2015-04-25尼泊尔Ms8.1地震前后电离层VTEC异常变化分析

利用IGS的GPS观测数据和CODE GIM电离层格网数据,采用滑动平均和四分位数相结合的统计方法,分析2015-04-25尼泊尔Ms8.1地震前后电离层VTEC异常变化。结果显示:1)电离层VTEC在震前2d出现显著的正异常,可能是地震发生的前兆信息;2)通过全球电离层VTEC异常分布,可以清晰地看出地震震中附近区域出现的异常变化特征;3)震后3d电离层VTEC出现显著负异常,其与震后一个月内多次发生的余震有关联。

玉树井水温异常与尼泊尔Ms8.1级地震关系

分析认为玉树地震台井水温2015年3月出现的异常很可能与尼泊尔8.1级地震有关。进一步分析玉树井水温自2007年以来的观测数据,发现这口井在2008年5月12日四川汶川Ms8.0级地震、2009年11月12日德令哈Ms5.0级地震和2010年4月14日青海玉树Ms7.1级地震前均出现较明显的前兆异常,分析这口井对应不同地震的异常曲线形态,得出这口井在尼泊尔地震前的异常形态与汶川、德令哈和玉树地震前的异常形态不同的结论。

尼泊尔Ms8.1级地震触发定日县次生地质灾害规律及防治建议研究

尼泊尔Ms8.1级地震触发西藏定日县次生灾害较严重,主要为泥石流、崩塌和不稳定斜坡。统计分析地震触发的次生地质灾害数量在各乡(镇)分布差异较大,且此次地震触发的次生地质灾害主要是中小型灾害,灾害类型主要为泥石流。基于次生地质灾害分布特征,将定日县灾害防治划分为重点防治区、次重点防治区和一般防治区。结合不同分区的灾害分布特点,提出了针对性的次生地质灾害防治措施,研究成果将有助于相关主管部门合理、高效、快捷的实现灾后重建及防灾减灾人力、物力和财力的合理使用。

2001年新疆昆仑山M_(S)8.1地震前地脉动参数异常变化

1研究背景。冯德益等(1994)研究发现,在中强地震发生前后地震波参数和地脉动参数都会有各种异常形态出现,且短周期地脉动参数异常可用于地震短期预报。李志雄等(2008)编制了海南数字地脉动参数处理系统,系统自动计算2005—2007年海南地震台网各个台站的地脉动参数,发现在海南及邻区显著地震前和地震活动活跃时地脉动参数有一定异常变化。

Landslide susceptibility assessment of the region affected by the 25 April 2015 Gorkha earthquake of Nepal

Nepal was hit by a 7.8 magnitude earthquake on 25^(th) April,2015.The main shock and many large aftershocks generated a large number of coseismic landslips in central Nepal.We have developed a landslide susceptibility map of the affected region based on the coseismic landslides collected from remotely sensed data and fieldwork,using bivariate statistical model with different landslide causative factors.From the investigation,it is observed that most of the coseismic landslides are independent of previous landslides.Out of 3,716 mapped landslides,we used 80% of them to develop a susceptibility map and the remaining 20% were taken for validating the model.A total of 11 different landslide-influencing parameters were considered.These include slope gradient,slope aspect,plan curvature,elevation,relative relief,Peak Ground Acceleration(PGA),distance from epicenters of the mainshock and major aftershocks,lithology,distance of the landslide from the fault,fold,and drainage line.The success rate of 87.66% and the prediction rate of86.87% indicate that the model is in good agreement between the developed susceptibility map and theexisting landslides data.PGA,lithology,slope angle and elevation have played a major role in triggering the coseismic mass movements.This susceptibility map can be used for relocating the people in the affected regions as well as for future land development.

Gravity variation before Kunlun mountain pass western M_s=8.1 earthquake

The relation between the gravity variation features and Ms=8.1 earthquake in Qinghai-Xizang monitoring area is analyzed preliminarily, by using spatial dynamic variation results of regional gravity field from absolute gravity and relative gravity observation in 1998 and 2000. The results show that: 1) Ms=8.1 earthquake in Kulun mountain pass western occurred in the gravity variation high gradient near gravit/s high negative variation; 2) The main tectonic deformation and energy accumulation before Ms=8.1 earthquake are distributed at south side of the epicenter; 3) The range of gravity's high negative variation at east of the Ms=8.1 earthquake epicenter relatively coincides with that rupture region according to field geology investigation; 4) Gravity variation distribution in high negative value region is just consistent with the second shear strain's high value region of strain field obtained from GPS observation.

Multiplicity of solutions to geophysical inversion reflected by rupture slip distribution of the 2015 Nepal earthquake

The equivalence of geophysical fields, the finiteness of measurements and the measurement errors make the result of geophysical inversion non-unique. For example, the measurements and inversion method used, the priori rupture model determined and the slip distribution smoothing factor selected will have significant influences on the earthquake rupture slip distribution. Using different data and methods, different authors have given different rupture slip distribution models of the 2015 Mw7.9 Nepal earth- quake, with the maximum slip ranging from 3.0 m to 6.8 m. In this paper, geometry parameters of the single rectangular fault model in elastic half-space were inferred constraining with the Global Posi- tioning System （GPS） and Interferometric Synthetic Aperture Radar （InSAR） coseismic deformations and bounding the slip with approximate average value; and then, the single rectangular fault was divided into multiple sub-faults, and the final slip smoothing factor, the final slip distribution and the maximum slip were determined with the misfit-roughness tradeoff curve, the cross-validation sum of squares （CVSS） and the third-party observation data or indexes being comprehensively taken into account. The results show that, the rupture of the Nepal earthquake extended by over 100 km east by south. The maximum slip of the earthquake was about 6.5-6.7 m, and most of the slip is confined at depths of 8 -20 kin, consistent with the depth distribution of aftershocks. The method for reducing the multiplicity of solutions to rupture slip distribution in this paper was ever used in inversion of rupture slip distri- bution for the 2008 Wenchuan and 2013 Lushan earthquakes, and the third-party measurement - surface dislocation has very large effect on reducing the multiplicity of solutions to inversion of the Wenchuan earthquake. Other priori information or indicators, such as fault strike, dip, earthquake magnitude, seismic activity, Coulomb stress, and seismic period, can be used for beneficial validation of and comparison with inversion results.

Decomposing InSAR LOS displacement into co-seismic dislocation with a linear in-terpolation model: A case study of the Kunlun Mountain M_s=8.1 earthquake

It has always been a difficult problem to extract horizontal and vertical displacement components from the InSAR LOS （Line of Sight） displacement since the advent of monitoring ground surface deformation with InSAR technique. Having tried to fit the firsthand field investigation data with a least squares model and obtained a preliminary result, this paper, based on the previous field data and the InSAR data, presents a linear cubic interpolation model which well fits the feature of earthquake fracture zone. This model inherits the precision of investigation data; moreover make use of some advantages of the InSAR technique, such as quasi-real time observation, continuous recording and all-weather measurement. Accordingly, by means of the model this paper presents a method to decompose the InSAR slant range co-seismic displacement （i.e. LOS change） into horizontal and vertical displacement components. Approaching the real motion step by step, finally a serial of curves representing the co-seismic horizontal and vertical displacement component along the main earthquake fracture zone are approximately obtained.