汶川8.0级地震北川县城震害原因分析

汶川MS8.0地震中,处于映秀—北川断裂带上的北川县城区地震烈度达Ⅺ度。地震断层活动在地表形成了3条破裂带,城区地表破裂带占总面积的比例超过6.5%,使建筑物遭受严重破坏,并引发了滑坡与崩塌灾害,加剧了震害损失。各种成灾机制之间存在相互耦合现象,不良地质现象发育是导致北川县城区震害程度极为严重的主要原因。     

对2008年1月9日西藏改则东6．9级地震中期预测的反思

2007年12月中国地震预测咨询委员会预测2008--2009年在西藏拉萨-申扎一带及附近可能发生7级地震。2008年1月9日西藏改则东6．9级地震,粗略符合原预测。所用的预测方法是倍周期性、静中动判据和地球物理灾害链。     

Estimation of the 2001 Kunlun earthquake fault slip from GPS coseismic data using Hori's inverse method

The Horios inverse method based on spectral decomposition was applied to estimate coseismic slip distribution on the rupture plane of the 14 November 2001 <i<M</i<<sub<S</sub<8.1 Kunlun earthquake based on GPS survey results. The inversion result shows that the six sliding models can be constrained by the coseismic GPS data. The established slips mainly concentrated along the eastern segment of the fault rupture, and the maximum magnitude is about 7 m. Slip on the eastern segment of the fault rupture represents as purely left-lateral strike-slip. Slip on the western segment of the seismic rupture represents as mainly dip-slip with the maximum dip-slip about 1 m. Total predicted scalar seismic moment is 5.196?×10<sup<20</sup<N·m. Our results constrained by geodetic data are consistent with seismological results.     

Sources of polyfluoroalkyl compounds in the North Sea, Baltic Sea and Norwegian Sea: Evidence from their spatial distribution in surface water

The spatial distribution of 15 polyfluoroalkyl compounds (PFCs) in surface water was investigated in the North Sea, Baltic Sea and Norwegian Sea. In addition, an interlaboratory comparison of the sampling techniques and analysis was conducted. Highest concentration in the North Sea was found near the coast, whereas the ∑PFC concentration decreased rapidly from 18.4 to 0.07 ng l⁻¹ towards the open North Sea. The river Elbe could identify as a local input source for PFCs into the North Sea, whereas perfluorobutanoic acid (PFBA) was transported into the sampling area with the easterly current. In contrast to the North Sea, the distribution of PFCs in the Baltic Sea was relatively homogenous, where diffuse sources dominated. In general, the composition profile was influenced from local sources caused by human activities, whereas atmospheric depositions of here analysed PFCs were negligible, but it could have possibly an influence on low contaminated sites like the open North Sea or Norwegian Sea.     

汶川M_S8.0地震绵竹县汉旺镇周边地表破裂带展布方式及其震害意义

2008年5月12日汶川MS8.0地震的震中烈度为Ⅺ度,但位于地震烈度为Ⅹ度区边缘的绵竹县汉旺镇,无论是房屋毁坏情况还是遇难和失踪人员的数目,均高出周边地震烈度Ⅰ度,接近极震区的破坏程度。文中从汉旺镇周边地表地震破裂带展布方式的角度讨论了这种震害加重现象的原因,介绍了位于汉旺镇北面和南面出现的2条相距1.5km呈左阶斜列展布的地表破裂带。其中,位于汉旺镇北侧的地表破裂带,垂直位移1.4m,水平右旋位移0.44m;位于汉旺镇南侧的地表破裂带,垂直位移量由西向东递减,为3.0～0.2m。尽管这2条地表破裂带没有从汉旺镇中心通过,但汉旺镇正位于这2条地表破裂带夹持的左阶阶区,致使阶区内建筑物除遭受来自震源的振动外,又受到阶区内的挤压,由此加重了汉旺镇建筑物的破坏,也显示出地表破裂带对建筑物破坏形式的多样性。汉旺镇汶川MS8.0地震震害实例表明,地表破裂带的阶区,也是遭受地震时破坏加重的特殊构造部位     

普通民众认知与响应汶川M_S8.0地震特征分析——以陕西勉县为例

为进一步了解普通民众对汶川MS8.0地震灾害的认知与响应程度,并为政府防震减灾战略的制定和实施提供科学依据,根据地震灾害认知与响应结构体系设计了普通民众地震灾害认知与响应调查问卷,主要指标体系包括地震灾害知识、防震减灾技能、自救互救和震后信息传播等4个方面。基于权重和赋分,构建了指标体系各部分评价模型和地震灾害认知与响应总体评价模型,以此来计算普通民众地震灾害认知与响应的综合得分。测评结果表明:1)勉县灾区民众认知与响应地震灾害的综合水平与能力均处于不及格水平;2)在认知与响应地震灾害方面,民众的防震减灾技能最差,对地震灾害知识的了解水平次之,而震时及震后自救互救与震后信息传播2个层面稍好一些;3)普通民众对地震知识和观点的理解还停留在表面现象上,对复杂、抽象的地震知识的理解和掌握,特别是对地震知识掌握的准确性和深层次理解还有待于进一步提高;4)从震后民众获取地震灾害信息的主渠道来看,加大政府关于地震灾害知识和防灾技能的宣传力度以及使地震信息公开透明化是降低地震灾害风险的有效途径之一     

Simultaneous Analysis of Natural Free Estrogens and Their Sulfate Conjugates in Wastewater

Natural estrogens from humans increasingly attract attention because of their strong endocrine disrupting potency. The discharge of sewage water is considered as the most important source of these endocrine disrupting chemicals (EDCs) in the environment. Therefore, a GC‐MS method was developed for the simultaneous analysis of six natural free estrogens and their sulfate conjugates in municipal wastewater, in which natural free estrogens and sulfate conjugates were successfully separated from an Oasis HLB solid phase extraction (SPE) cartridge with two different eluents, and the sulfate conjugates were then transformed to their corresponding free estrogens by acid solvolysis. Before the analysis with GC‐MS, samples were derivatized by N,O‐bis (trimethylsilyl) trifluoroacetamide (BSTFA) plus 1% trimethylchlorosilane (TMCS) at 80°C for 40 min. Satisfactory recoveries ranging from 64 to 112.3% were obtained by spiking ultra‐purified water, raw, and treated municipal wastewater with the six estrogens at 50, 100, and 50 ng/L, respectively. The method was successfully applied to wastewater samples from one WWTP, which suggested that E1 was the dominant natural estrogens in effluent and E3‐3S was one of the conjugates possibly occurring in the effluent.     

Simultaneous Analysis of Natural Free Estrogens and Their Conjugates in Wastewater by GC‐MS

A solid‐phase extraction (SPE)‐gas chromatography (GC)‐mass spectrometry (MS) analytical method was developed for the simultaneous analysis of natural free estrogens and their conjugates in wastewater samples. Natural free estrogens and their conjugates in wastewater were successfully separated by the oasis hydrophilic‐lipophilic balance solid phase extraction (Oasis HLB SPE) method, and the conjugates were initially enzyme hydrolyzed by β‐glucuronidase or arylsulfatase from Helix pomatia prior to derivatization. N‐methyl‐N‐(tert‐butyldimethylsilyl)trifluoroacetamide (MTBSTFA) plus 1% tert‐butyldimetheylchlorosilane (TBDMCS) was chosen as the derivatization reagent, and the most appropriate conditions of derivatization were determined to be at 95°C for 90 min. The recovery ratios of nine target chemicals were determined by spiking them in 1 L of ultra‐purified water or the influent of a wastewater treatment plant (WWTP). The recovery ratios of six out of nine for the analytes ranged from 73.3–114.9% with relative standard deviations (RSD) from 1.6–19.9%. The established method was successfully applied to environmental wastewater samples which were collected from one municipal wastewater treatment plant (WWTP) in Osaka, Japan, for the determination of natural free estrogens and their conjugates. In the influent sample, E1, E2, E1‐3S, E3‐3S, and E1‐3G were detected at concentrations of 16.6, 9.6, 8.2, 21.9, and 3.2 ng L^–1, respectively. However, only E1 was detected at a high concentration of 44 ng L^–1 in the effluent sample, suggesting that it is the dominant natural free estrogen in the effluent.     

2008年盈江5.9级地震序列震源参数研究

2008年8月21日在云南省盈江县发生了MS5.9地震。利用云南区域数字地震台网记录的ML≥2.5余震波形记录,通过对S波观测记录谱进行传播路径、场地响应和仪器响应等影响的逐一消除,得到了196个ML≥2.5地震的震源谱,进而根据Brune圆盘震源模型,利用遗传算法计算了地震矩、应力降、震源半径等震源参数,结果表明,该地震序列的地震矩在1012～1016N.m间,与近震震级有很好的线性关系,与震源半径也呈线性关系;应力降与近震震级有一定的线性趋势相关性;拐角频率和地震矩之间有明显的依赖关系。     

紫坪铺水库库区地震精定位研究及分析

利用双差定位法, 对紫坪铺水库台网8个地震台站记录到的2004年8月16日至2008年5月10日的1569个小震进行重新定位。 结果显示, 重新定位后的小震主要集中分布在龙门山推覆构造带的中央北川—映秀断裂、 前山灌县-江油断裂和后山汶川—茂汶断裂上, 其中大部分地震位于北川—映秀断裂并收敛于紫坪铺水库的两端, 走向NE向; 震源深度集中在5~15 km范围内, 平均深度为7.8 km, 15~30 km也有少量地震发生。 水库区域小震活动频度与水库水位存在一定的相关性。 精定位后, 到时残差的均方根平均值为0.048 s, 震源位置的估算误差在水平方向上平均为0.63 km, 在垂直方向上平均为0.51 km。 文中还讨论了紫坪铺水库区震源分布和地质构造的关系。