姚安地震序列与大姚地震序列震源参数的对比研究

2000年1月15日在云南省姚安县发生了M_S6.5地震, 2003年7月21日和10月16日在云南省大姚县发生了M_S6.2、 M_S6.1地震。 这两个地震序列均发生在滇中块体, 震中位置相距42.5 km, 构造、 应力背景相似, 但序列类型不同, 时间间隔短。 为深入研究姚安地震和大姚地震序列的特征, 根据昆明区域数字台网记录的数字地震波资料, 利用遗传算法计算了2000年姚安地震和2003年大姚地震序列的震源参数。 研究结果表明, 姚安地震序列和大姚地震序列的地震矩和近震震级有很好的线性关系, 它们的地震矩M₀均在10¹²~10¹⁴ N·m, 地震矩与震源半径之间呈线性关系。 应力降随震级变化不明显。 拐角频率和地震矩之间有明显的依赖关系, 用最小二乘法拟合拐角频率和地震矩的关系式, 利用此关系式可计算出给定地震矩的拐角频率估计值f_a, 进而可分析实际计算的拐角频率与估计值之差(f_c-f_a)的时间变化曲线。 姚安地震序列和大姚地震序列实际计算的拐角频率与估计值之差(f_c-f_a)及应力降随时间的变化表现出了不同的特征: 姚安地震序列的应力降和拐角频率差值在4.3级和4.6级强余震前均有一个上升-下降过程, 反映余震区应力场有一个增高-下降过程; 大姚地震序列应力降和拐角频率差值在M_S≥4.6强余震发生之前均会出现高值异常, 但在M_S4.6～4.7地震之前出现的高值异常持续时间短, 在M_S6.1地震前出现的高值异常持续较长。 文中结合两个地震的发震构造, 序列类型等特征进行了分析讨论。     

云、雨水酸度和离子浓度与其微物理参数的关系

本文1987年5-6月和1989年5-6月庐山地区的实测资料,分析了云、雨水酸度和离子浓度与其微物理量间的关系。结果表明,云、雨滴大小、含水量、谱宽等微物理量的演变直接影响着其酸度和离子浓度。     

北京昌平地震台TJ-1体积钻孔应变仪潮汐参数动态特征及其稳定性研究

介绍了北京昌平地震台 TJ- 1型钻孔体积应变仪 1 989年 7月～ 2 0 0 0年 1 2月期间的观测结果 ,分析了潮汐响应函数的动态特征及其稳定性。由全序列观测数据调和分析所得 :O1波潮汐因子 VO1=0 .791 6± 0 .0 1 2 8、相位滞后 ΔΦ0 1=1 .9°;K1波潮汐因子 Vk1=0 .6 4 42±0 .0 0 88、相位滞后ΔΦk1=- 4.2°;M2 波潮汐因子 VM2 =0 .6 5 0 0± 0 .0 0 3 8、相位滞后ΔΦM2 =-2 .9°。液态地核振荡因子 A=VO1/VK1=1 .2 2 8,比理论值小 6 .5 %。     

Time-domain identification of dynamic properties of layered soil by using extended Kalman filter and recorded seismic data

A novel time-domain identification technique is developed for the seismic response analysis of soil-structure interaction. A two-degree-of-freedom (2DOF) model with eight lumped parameters is adopted to model the frequency-dependent behavior of soils. For layered soil, the equivalent eight parameters of the 2DOF model arc identified by the extended Kalman filter (EKF) method using recorded seismic data. The polynomial approximations for derivation of state estimators are applied in the EKF procedure. A realistic identification example is given for the layered-soil of a building site in Anchorage, Alaska in the United States. Results of the example demonstrate the feasibility and practicality of the proposed identification technique. The 2DOF soil model and the identification technique can be used for nonlinear response analysis of soil-structure interaction in the time-domain for layered of complex soil conditions. The identified parameters can be stored in a database for use in other similar soil conditions. If a universal database that covers information related to most soil conditions is developed in the future, engineers could conveniently perform time history analyses of soil-structural interaction.     

Modelling forest snow processes with a new version of WaSiM

ABSTRACT

We present a new model extension for the Water balance Simulation Model, WaSiM, which features (i) snow interception and (ii) modified meteorological conditions under coniferous forest canopies, complementing recently developed model extensions for particular mountain hydrological processes. Two study areas in Austria and Germany are considered in this study. To supplement and constrain the modelling experiments with on-site observations, a network of terrestrial time-lapse cameras was set up in one of these catchments. The spatiotemporal patterns of snow depth inside the forest and at the adjacent open field sites were recorded along with snow interception dynamics. Comparison of observed and modelled snow cover and canopy interception indicates that the new version of WaSiM reliably reconstructs the variability of snow accumulation for both the forest and the open field. The Nash-Sutcliffe efficiency computed for selected runoff events in spring increases from ?0.68 to 0.71 and 0.21 to 0.87, respectively.     

Source parameters of intermediate-depth Vrancea (Romania) earthquakes from empirical Green's functions modeling

Several source parameters (source dimensions, slip, particle velocity, static and dynamic stress drop) are determined for the moderate-size October 27th, 2004 (M_W = 5.8), and the large August 30th, 1986 (M_W = 7.1) and March 4th, 1977 (M_W = 7.4) Vrancea (Romania) intermediate-depth earthquakes. For this purpose, the empirical Green's functions method of Irikura [e.g. Irikura, K. (1983). Semi-Empirical Estimation of Strong Ground Motions during Large Earthquakes. Bull. Dis. Prev. Res. Inst., Kyoto Univ., 33, Part 2, No. 298, 63–104., Irikura, K. (1986). Prediction of strong acceleration motions using empirical Green's function, in Proceedings of the 7th Japan earthquake engineering symposium, 151–156., Irikura, K. (1999). Techniques for the simulation of strong ground motion and deterministic seismic hazard analysis, in Proceedings of the advanced study course seismotectonic and microzonation techniques in earthquake engineering: integrated training in earthquake risk reduction practices, Kefallinia, 453–554.] is used to generate synthetic time series from recordings of smaller events (with 4 ≤ M_W ≤ 5) in order to estimate several parameters characterizing the so-called strong motion generation area, which is defined as an extended area with homogeneous slip and rise time and, for crustal earthquakes, corresponds to an asperity of about 100 bar stress release [Miyake, H., T. Iwata and K. Irikura (2003). Source characterization for broadband ground-motion simulation: Kinematic heterogeneous source model and strong motion generation area. Bull. Seism. Soc. Am., 93, 2531–2545.] The parameters are obtained by acceleration envelope and displacement waveform inversion for the 2004 and 1986 events and MSK intensity pattern inversion for the 1977 event using a genetic algorithm. The strong motion recordings of the analyzed Vrancea earthquakes as well as the MSK intensity pattern of the 1977 earthquake can be well reproduced using relatively small strong motion generation areas, which corresponds to small asperities with high stress drops (300–1200 bar) and high particle velocities (3–5 m/s). These results imply a very efficient high-frequency radiation, which has to be taken into account for strong ground motion prediction, and indicate that the intermediate-depth Vrancea earthquakes are inherently different from crustal events.     

Simultaneous water and vapour transfer in an unsaturated mudstone in badlands terrain,southwestern Taiwan

The simultaneous transfer of pore fluid and vapour was studied in the unsaturated shallow subsurface of a Plio-Pleistocene marine mudstone badland slope in southwestern Taiwan during the dry season using field monitoring data and numerical simulations. Data from field monitoring show mass-basis water contents of ~0.05 to ~0.10 that decrease towards the unsaturated ground surface and were invariant during the middle part of the dry season, except for daily fluctuations. In addition, the observed daily fluctuations in water content correlate with fluctuations in bedrock temperature, especially at depths of 2.5–5.0 cm. Periodic increases in water content occurred most notably during the day, when the bedrock temperature showed the greatest increase. Water contents then decreased to the previous state as bedrock temperature decreased during the night. Calculated vapour fluxes within the mudstone during the day increased up to 6 × 10⁻⁶–1 × 10⁻⁵ kg m⁻² s⁻¹, deriving a 0.01–0.02 increase in mass-basis water content at 2.5 cm depth for a 12-h period. This agrees with field monitoring data, suggesting that increases in water content occurred due to vapour intrusions into the bedrock. Pore water electrical conductivity (EC) showed periodic variations due to vapour intrusion, and gradually increased between the ground surface and depths of 2.5–5.0 cm. In contrast, pore water EC gradually decreased between 15 and 40 cm depth. Calculated water fluxes at depths of 2.5–40.0 cm varied from −4 × 10⁻⁶ to −2 × 10⁻⁹ kg m⁻² s⁻¹. These fluxes generated an increase in solute concentrations at the ground surface, with negative values of water flux indicating an upwards movement of water towards the surface. We show that the increase in solute content due to solute transfer from depth is highly dependent on variations in water flux with depth. © 2020 John Wiley & Sons, Ltd.     

DISCUSSION: APPLICATION OF THE QDa–Md METHOD OF ENVIRONMENTAL DISCRIMINATION TO PARTICLE SIZE ANALYSIS OF FINE SEDIMENTS

Duck's recent finding (R. W. Duck, Earth Surface Processes and Landforms, 1994, 19 , 525–529) that QDa and Md parameters derived from pipette and SediGraph analysis of sediments from Loch Tummel returned similar results can be interpreted in two ways. The observed consistency could result from (i) a general agreement between the methods (as is suggested by Duck) or (ii) from the use of inappropriate parameters (Md and QDa) to describe polymodal distributions.     

Measurement of stream cross section using ground penetration radar with Hilbert–Huang transform

This study presents a new method to measure stream cross section without having contact with water. Compared with conventional measurement methods which apply instruments such as sounding weight, ground penetration radar (GPR), used in this study, is a non‐contact measurement method. This non‐contact measurement method can reduce the risk to hydrologists when they are conducting measurements, particularly in high flow period. However, the original signals obtained by using GPR are very complex, different from studies in the past where the measured data were mostly interpreted by experts with special skill or knowledge of GPR so that the results obtained were less objective. This study employs Hilbert–Huang transform (HHT) to process GPR signals which are difficult to interpret by hydrologists. HHT is a newly developed signal processing method that can not only process the nonlinear and non‐stationary complex signals, but also maintain the physical significance of the signal itself. Using GPR with HHT, this study establishes a non‐contact stream cross‐section measurement method with the ability to measure stream cross‐sectional areas precisely and quickly. Also, in comparison with the conventional method, no significant difference in results is found to exist between the two methods, but the new method can considerably reduce risk, measurement time, and manpower. It is proven that the non‐contact method combining GPR with HHT is applicable to quickly and accurately measure stream cross section. Copyright © 2013 John Wiley & Sons, Ltd.