Aftershock Statistics

The statistical properties of aftershock sequences are associated with three empirical scaling relations: (1) Gutenberg-Richter frequency-magnitude scaling, (2) Båths law for the magnitude of the largest aftershock, and (3) the modified Omoris law for the temporal decay of aftershocks. In this paper these three laws are combined to give a relation for the aftershock decay rate that depends on only a few parameters. This result is used to study the temporal properties of aftershock sequences of several large California earthquakes. A review of different mechanisms and models of aftershocks are also given. The scale invariance of the process of stress transfer caused by a main shock and the heterogeneous medium in which aftershocks occur are responsible for the occurrence of scaling laws. We suggest that the observed partitioning of energy could play a crucial role in explaining the physical origin of Båths law. We also study the stress relaxation process in a simple model of damage mechanics and find that the rate of energy release in this model is identical to the rate of aftershock occurrence described by the modified Omoris law.     

Automatic seismic wave detection and autoregressive model method

The problem of automatic detection of seismic waves by large telemetered seismic networks such as the Mexican Continental Aperture Seismic Network (RESMAC), is extended here to include determination of seismic first-arrival and S-phase-arrival times. A short general outline of the detection problem background and a small introduction to the autoregressive model (AR) concept are presented. Several automatic detection algorithms were implemented and compared with a newly developed autoregressive algorithm. Careful consideration of the advantages and disadvantages of each method determined that a mixed detection scheme is optimal and suitable for RESMAC. A few examples are shown that illustrate the relative performances of the methods tried here. The proposed detection scheme has the following characteristics: (a) First-arrival detection, based on a simple (average of squared input) characteristic function, and a trigger criterion that uses as a distortion measure the long-average-to-short-average ratio of the characteristic function, checked using a duration criterion; (b) use of two threshold values, one for triggering, and another for beginning the backward search for the phase arrival time; (c) use of the autoregressive model (AR) method, with the Itakura-Saito distortion measure, for S-phase detection, checked using both duration and amplitude criteria; and (d) characterization of the reliability of the determinations for their subsequent use in automatic location programs, alarms, etc. The automatic detection scheme has proved effective.     

Demarcation and Scaling of Long-term Seismogenesis

A space-time envelope of minor seismicity related to major shallow earthquakes is identified from observations of the long-term Precursory Scale Increase () phenomenon, which quantifies the three-stage faulting model of seismogenesis. The envelope, which includes the source area of the major earthquake, is here demarcated for 47 earthquakes from four regions, with tectonic regimes ranging from subduction to continental collision and continental transform. The earthquakes range in magnitude from 5.8 to 8.2, and include the 24 most recent mainshocks of magnitude 6.4 and larger in the San Andreas system of California, the Hellenic Arc region of Greece, and the New Zealand region, together with the six most recent mainshocks of magnitude 7.4 and larger in the Pacific Arc region of Japan. Also included are the destructive earthquakes that occurred at Kobe, Japan (1995, magnitude 7.2), Izmit, Turkey (1999, magnitude 7.4), and W.Tottori, Japan (2000, magnitude 7.3). The space (A _P ) in the space-time envelope is optimised with respect to the scale increase, while the time (T _P ) is the interval between the onset of the scale increase and the occurrence of the earthquake. A strong correlation is found between the envelope A _P T _P and the magnitude of the earthquake; hence the conclusion that the set of precursory earthquakes contained in the envelope is intrinsic to the seismogenic process. Yet A _P and T _P are correlated only weakly with each other, suggesting that A _P is affected by differences in statical conditions, such as geological structure and lithology, and T _P by differences in dynamical conditions, such as plate velocity. Among other scaling relations, predictive regressions are found between, on the one hand, the magnitude level of the precursory seismicity, and on the other hand, both T _P and the major earthquake magnitude. Hence the method, as here applied to retrospective analysis, is potentially adaptable to long-range forecasting of the place, time and magnitude of major earthquakes.     

空间尺度上推方法的精度评价——以内蒙古锡林郭勒盟土地利用数据为例

不同的空间尺度上推方法会导致不同程度的信息丢失、信息歪曲等后果;但目前少有研究在较长的尺度序列上、对不同尺度上推方法所得成果开展精度分析。本研究首先提出尺度上推方法精度评价的三个准则,即:保持土地类型构成特征、保持土地面积精度、保持土地空间分布格局和斑块形态;继而使用格点中心值、最大面积斑块、最大聚合面积斑块等3种尺度上推方法,配合100 m～50 km土地利用数据开展尺度转化实验;最后基于上述评价准则和尺度上推实验所得的系列输出结果,分析了不同尺度上推方法的精度。研究表明:(1)格点中心值上推方法能更好地保留区域土地类型构成、土地面积精度等特征;(2)锡林郭勒盟地区土地研究的适宜尺度应小于10 km,最大不应超过30 km;(3)在尺度上推过程中,土地斑块的平均面积、形态以及空间分布格局对尺度上推成果精度有着重要影响。     

DZZ2型自动站监控软件数据故障分析与处理

2010年4月8日16时至9日10时,霍州市气象局自动站出现故障,监控软件无法正常显示各气象要素实时数据,通过认真分析查找原因,逐步排查故障,最终使问题得以圆满解决。本文对该次故障现象与分析处理过程进行了总结。     

上海城市热岛的精细结构气候特征分析

对上海地区59个自动站2006—2013年逐时气温资料进行了本地化的质量控制,得到一套高分辨率气温数据集。将其与常规观测资料进行对比,发现两者反映的上海年平均及季节平均气温基本一致,说明经质量控制的加密资料是可信的。但其空间差异更为明显,表明高分辨气温数据在城市热环境精细空间分布研究中更具代表性和有效性。基于该数据集研究了上海的城市热岛空间分布。结果表明,加密观测数据可反映出城市热岛的精细结构气候特征:热岛分布由中心城区向四周及西南部扩展,尤其是出现了"多中心"结构特征,即除中心城区的热岛主中心外,在闵行北部和松江南部均出现了与快速城市化进程相联系的区域性副热岛中心;受大气环流季节转换和局地海陆风的影响,热岛位置在秋冬季偏东南方向,春夏季偏西北方向。上述精细化特征在常规资料中并不明显或无法体现。由此可见,经质量控制的加密气温数据在城市热岛的精细结构研究中更具优势。     

SWAN2.0系统的设计与实现

强对流天气短时临近预报系统（Severe Weather Automatic Nowcasting,SWAN）是面向短时临近监测、分析、预报、预警制作等功能为一体的业务平台。SWAN2.0基于MICAPS4（Meteorological Information Comprehensive Analysis and Processing System Version 4.0,人机交互气象信息处理和天气预报制作系统）二次开发框架,采用C/S架构,服务器部署在省级,负责收集数据,运算SWAN产品;客户端部署在气象台站,实现具体的预报业务,并形成算法二次开发接口。SWAN2.0新增了三维变分风场反演、基于分雨团技术的雷达降水估测、冰雹识别等方法,实现了算法管理、产品生成、分析处理、资料检索显示、实时监控报警、预警产品制作等功能。SWAN2.0业务系统已在全国试用,在强对流天气监测、分析和短时临近预报预警中发挥了重要作用。     

基于GIS和空间句法的城市形态实证研究

近年来,空间句法理论作为复杂理论众多分支中的一个,受到众多学者的关注,它被广泛应用于GIS领域,为城市形态研究提供了新视角。Axwoman,既是新兴的空间句法工具,同时又是集成于ArcGIS的用于城市形态分析的功能扩展,常被用来计算空间形态变量和评估空间形态。本文以斯德哥尔摩市街道网络为例构建轴线图,并对其连接值引入相关尺度分析方法,计算结果显示,轴线图连接值服从幂律分布规律。     

基于时空热点分析的城市交通违法行为特征识别方法

交通违法行为是引发交通事故的重要原因,然而现有研究主要关注交通违法行为的整体特征,缺少面向交通违法治理需求的分析框架。本文基于时空热点分析方法,提出从热点区域时间分布特征和典型时段热点区域空间分布特征两个角度识别交通违法行为特征的分析框架,分别用于支撑局部交通违法热点以及全局违法模式的原因分析和精准治理。基于该方法对福州市的机动车和非机动车（含行人）违法行为特征进行了识别分析,结果表明：机动车和非机动车违法行为在时间维度均呈现出9:00和16:00一日双峰特征,在空间维度呈现出“一片区、多热点”的聚集分布特征。二者也存在明显差异,具体表现为：① 在时间维度,非机动车违法行为呈现出更大的变化幅度,高峰时段与中午低谷时段、工作日与周末的违法行为数量差异均明显高于机动车;② 在空间维度,机动车违法行为在商业中心、医院等重要场所和交通枢纽呈现出聚集特征,分布范围更广,而非机动车违法行为则主要在人流量大且人车混行严重的城市中心路口区域呈现聚集特征;③ 不同违法热点地区产生的原因存在差异,需要有针对性制定治理措施。上述发现表明了本文方法能够全面快速识别交通违法行为特征,可以帮助指导城市交通违法行为动态监测分析系统建设,为持续优化城市交通现场执法警力动态分配以及交通违法行为精准治理提供决策支持。     

自动与人工观测的气压差异分析

利用陕西省97个气象站2004—2007年间自动与人工平行观测期间的资料,分析了陕西和陕西不同地域人工与自动观测气压的差异并对气压月、年平均值进行了显著性检验。结果表明:人工观测比自动观测日平均气压平均偏高0.21 hPa,标准差为0.30 hPa;气压差值有明显的地域特征;气压对比差值的日、月变化规律明显;DYYZ和CAWS系列测压仪的性能没有明显差异;自动与人工观测时间不同步对定时值有一定影响,但对气候分析没有影响;校准值随时间漂移是气压传感器的主要误差源之一;自动站所测气压可与人工站气压连续使用。