新疆皮山地区地震动衰减关系研究

利用2015年7月3日皮山M_S6.5地震序列的波形资料,采用微遗传算法反演得到震源区的5个介质参数,即应力降Δσ为75.95bars,品质因子Q_0为186.33,η值为0.26,几何衰减分段点R_1为72.18km,R_2为139.70km;并由此计算得到的傅氏谱再配合随机相位谱,进而得到地震动时程,建立了震源区地震动衰减关系。由于缺乏强震记录,本文还收集了2008年10月5日乌恰M_S6.9地震、2008年10月6日阿克陶M_S6.2地震、2012年3月9日洛浦M_S6.0地震的强震数据,将计算结果与经验性衰减关系以及3次强震记录进行比较后发现,皮山地震、洛浦地震的强震数据普遍高于经验性衰减关系,乌恰地震的强震数据与俞言祥等文中的衰减关系吻合较好,在远场低于本文的计算结果。     

Study on the Moment Magnitude of Small and Moderate Earthquakes Located in the Inner Mongolia Region

Based on digital seismic waveform data from Inner Mongolia Digital Seismic Network, the source spectrum parameters of 182 small and moderate earthquakes from January, 2009 to September, 2016 are derived, and the seismic moment M₀ and moment magnitude M_W of the earthquakes are calculated. The M_L-M_W relationship and the relationship between stress drop and magnitude are obtained using the linear regression method. It is clear that incorporating the moment magnitude into the seismic quick report catalog and the official earthquake catalog can enrich earthquake observation report content, thus providing better service for earthquake emergency and earthquake scientific research.     

利用GPS数据研究南北地震带北段近期地壳水平形变特征

采用中国地震局"陆态网络"GPS基准站和流动站观测数据,利用MIT的开源软件GAMIT/GLOBK解算南北地震带北段(33°~42°N,97°~110°E),特别是六盘山地区、祁连地块、银川地堑1999年以来在欧亚框架下、以鄂尔多斯块体作为参考的GPS速度场。计算南北地震带北段5条断裂两侧50~350km范围内各站垂直/平行于断裂走向的速度投影,以及14个基准站18条基线2010年以来的长度时间序列,试图进一步估计关心区域的应力积累情况,探索断层闭锁段。结合地震活动性,认为南北地震带北段未来50年有发生M8地震的可能性;该段1900年以来的第4个M6、M7地震活跃期可能已经拉开序幕,未来2年有发生M7以上地震的可能性;祁连断裂带、海原断裂、西秦岭北缘地震带具备发生M6和M7地震的优先条件,尤其是海原断裂。     

GPS技术应用与质量控制

结合工作实践,对GPS技术应用与质量控制进行了分析和探讨,概述了GPS网的设计及野外观测中应注意的问题,重点通过对基线解算过程中影响成果质量的诸多因素进行详细分析和论述,以期最大限度的消除误差影响,提高成果精度。     

蔚县矿区地面沉陷InSAR多维形变监测

河北蔚县是我国华北地区最大的地下采煤区之一,该地区长期存在采矿塌陷灾害,不仅威胁采矿安全,而且严重破坏当地生态环境。本文基于合成孔径雷达干涉（InSAR）这一新型空间对地观测技术,采用61景Sentinel-1A/B干涉宽幅（Interferometric Wide swath,IW）模式数据进行矿区形变观测,获取整个矿区在2017—2018年间的地表形变空间分布特征,并对矿区地表的沉降量级及面积进行详细的统计分析。此外,采用融合多轨道SAR数据的多维形变时序估计方法,对西细庄矿数据进行东西向和垂向的二维形变分解,获取该矿的二维形变时间序列。结果表明:除南留庄井田外,其余三大井田在监测期间均存在不同程度的地面沉陷灾害;整个矿区年沉陷速率超过-10 cm/a的区域达到了2.16 km2;受成像几何影响,不同轨道数据获取的形变结果存在一定差异;西细庄矿以垂向形变为主,伴随明显的东西向水平形变。研究结果为蔚县矿区地面沉陷监测与煤矿安全开采提供数据参考。      

西藏樟木口岸震后滑坡灾害变形InSAR监测分析

位于中国和尼泊尔边境的西藏樟木口岸是国家一类陆路通商口岸,也是西藏最大的边贸中心口岸。2015年尼泊尔大地震之后,西藏樟木口岸因多次发生滑坡灾害,而导致口岸关闭。为了调查樟木口岸区域滑坡灾害的分布和变形情况及更好的服务于区域减灾防灾,利用InSAR技术对覆盖该区域的Sentinel-1A和ALOS-2两种卫星影像数据进行了处理,并通过分析视线向年均形变速率图,圈定了17处疑似滑坡,并对其中的5处典型滑坡进行时间序列形变特征分析,监测识别出的滑坡基本沿318国道所在一侧的波曲河左岸分布。InSAR调查结果表明受地震影响樟木地区的滑坡多分布在沿波曲河左岸的陡峭山体上,中尼公路迪斯岗至友谊桥段的古滑坡出现了局部复活的现象,同时樟木镇居民所在的城区也发育有扎美拉山危岩体崩塌滑坡灾害。      

强震动记录自适应基线校正方法:汶川地震应用

基线校正是强震动记录数据处理非常关键的环节之一。现有方法大都依赖主观经验,得到的永久位移值存在较大的不确定性,不能实现自动化处理。为此,提出一种自适应的强震动记录基线校正方法,以汶川地震中汶川卧龙台站(051WCW)获取的强震动记录为例叙述新方法的每个环节,并与已有方法进行比较,验证了新方法的计算准确性。最后,将新方法运用于汶川地震主震中,得到了37个强震动台站的永久位移场。通过与Wang等的研究结果比较,发现除3个台站由于数据不全无法比较外,新方法给出的24个台站的最大永久位移无论是数值还是对应方位角都与其一致。表明新方法具有一定的可靠性,同时通过对比也发现新方法存在一定的局限性,还有待进一步改进。     

COSEISMIC DISPLACEMENT FIELD OF THE WENCHUAN EARTHQUAKE DERIVED FROM STRONG MOTION RECORDS AND APPLICATION IN SLIP INVERSION

The development of high-rate GNSS seismology and seismic observation methods has provided technical support for acquiring the near-field real-time displacement time series during earthquake. But in practice, the limited number of GNSS continuous stations hardly meets the requirement of near-field quasi-real-time coseismic displacement observation, while the macroseismographs could be an important complement. Compared with high-rate GNSS, macroseismograph has better sensitivity, higher resolution(100~200Hz)and larger dynamic range, and the most importantly, lower cost. However, baseline drift exists in strong-motion data, which limits its widespread use. This paper aims to prove the feasibility and reliability of strong motion data in acquiring seismic displacement sequences, as a supplement to high-rate GNSS. In this study, we have analyzed the strong-motion data of Wenchuan M_S8.0 earthquake in Longmenshan fault zone, based on the automatic scheme for empirical baseline correction proposed by Wang et al., which fits the uncorrected displacement by polynomial to obtain the fitting parameters, and then the baseline correction is completed in the velocity sequence. Through correction processing and quadratic integration, the static coseismic displacement field and displacement time series are obtained. Comparison of the displacement time series from the strong motions with the result of high-rate GPS shows a good coincidence. We have worked out the coseismic displacement field in the large area of Wenchuan earthquake using GPS data and strong motion data. The coseismic displacement fields calculated from GPS and strong motions are consistent with each other in terms of magnitude, direction and distribution patterns. High-precision coseismic deformation can provide better data constraint for fault slip inversion. To verify the influence of strong-motion data on slip distribution in Wenchuan earthquake, we used strong motion, GPS and InSAR data to estimate the stress drop, moment magnitude and coseismic slip model, and our results agreed with those of the previous studies. In addition, the inversion results of different data are different and complementary to some extent. The use of strong-motion data supplements the slip of the fault in the 180km segment and the 270~300km segment, thus making the inversion results of fault slip more comprehensive. From this result, we can draw the following conclusions:1)Based on the robust baseline correction method, the use of strong motion data, as an important complement to high-rate GNSS, can obtain reliable surface displacement after the earthquake. 2)The strong motion data provide an effective method to study the coseismic displacement sequence, the surface rupture process and quick seismogenic parameters acquisition. 3)The combination of multiple data can significantly improve the data coverage and give play to the advantages of different data. Therefore, it is suggested to combine multiple data(GPS, strong motion, InSAR, etc.)for joint inversion to improve the stability of fault slip model.     

多环芳烃在小白洋淀挺水植物中的分布、组成及其影响因素

利用GC-MS测定了端村小白洋淀5个采样点三种主要挺水植物(荷花、蒲草和芦苇)中16种优控多环芳烃(PAHs)的含量,分析了其分布与组成特征及其影响因素。结果表明:(1)16种优控多环芳烃总量(PAH_(16))在三种挺水植物中的平均干重含量范围为82.5-448.6ng/g(dw),七种挺水植物组织荷叶、荷茎、蒲叶、蒲茎、蒲根、苇叶与苇根中PAH_(16)的平均干重含量分别为448.6ng/g(dw)、129.3ng/g(dw)、292.6ng/g(dw)、166.8ng/g(dw)、82.5ng/g(dw)、141.5ng/g(dw)和90.0ng/g(dw),这些数据表明同种植物的叶中PAHs含量最高、茎中次之、根中最低;PAHs各组份在七种挺水植物中的含量具有显著的正相关关系,反映了PAHs在植物组织中的分布模式极为相似.(2)七种挺水植物组织中,均以低环PAHs为主,中环PAHs次之,高环PAHs很低,其百分比范围分别为66.2%(荷叶)-89%(蒲茎)、10.2%(蒲茎)-32.6%(荷叶)和0.6%(蒲叶)-3.7%(苇根);菲、荧蒽、萘、芴、芘和屈6种PAHs组分在挺水植物组织中的平均百分含量较高,分别为35.3%、15.5%、12.1%、11.7%、9.2%和5.2%,占PAH_(16)的89%.3)PAHs在挺水植物中的含量与植物含脂率具有显著的正相关关系,与PAHs组分的辛醇-水分配系数(K_(ow))以及辛醇-大气分配系数(K_(oa))具有显著的负相关关系.     

小白洋淀水-沉积物系统多环芳烃的分布、来源与生态风险

以端村小白洋淀为研究对象,利用GC-MS测定了6个样点水、悬浮物和沉积物中15种优控多环芳烃(PAHs)的含量,分析了其组成与来源特征,探讨了不同多环芳烃单体的生态风险,结果表明:(1)15种优控多环芳烃的总含量(PAH15),水相为40.1-74.0ng/L,算术均值51.0ng/L;悬浮物为2438.0-5927.0ng/g,算术均值4528ng/g;沉积物为466.9-1366.4ng/g,算术均值为755.6ng/g;与国内外有关研究相比,污染较轻,(2)三相中均以2、3环PAHs为主,其比例均高于80%;并且,从水相、悬浮物相到沉积物相,2环PAHs依次降低,3环、4环依次升高,高环检出率和含量也依次升高,(3)沉积物中多环芳烃的来源以生物质燃料(秸秆、薪材)和煤的燃烧为主,以液体化石燃料(汽油、柴油和原油)的燃烧为辅,(4)沉积物中的芴(FLO)、菲(PHE)含量在潜在生态风险效应区间低值(ERL)与中值(ERM)之间,其生态风险几率介于10%-50%之间;其他PAHs单体的含量均低于ERL,其生态风险几率均低于10%.