利用远震接收函数反演黔江地震台下方的速度结构     

郑许东  罗娇  蒋春丽  李瑞莹  王小龙  勾宪斌  郭欣 《震灾防御技术》2015,10(S1):777-784

本文选取黔江地震台2007年至2011年记录到的60个远震宽频带数字地震记录,采用频率域反褶积法获得台站的接收函数,并用H-Kappa叠加法来反演台站下方的地壳厚度和泊松比,最终得到了黔江地震台下方的地壳速度结构。同时,通过H-Kappa法反演得到的台站下方的地壳厚度作为波速反演的约束条件,以减少反演的非唯一性。计算结果显示,黔江地震台下方的地壳厚度为44km,这与广泛认同的中国大陆中西部地区莫霍深度在38—45km基本一致。本文对增强该地区深部地质构造特征研究和孕震机制分析具有积极的意义。  相似文献   

基于OC-Seislet变换的海洋涌浪噪声衰减方法     

勾福岩  刘财  刘洋  王博  冯晅 《吉林大学学报(地球科学版)》2015,45(3):962-970

在海上地震资料采集过程中,涌浪噪声是一种常见的噪声干扰,这类噪声一般表现为低频、强能量、长周期,使用一般的方法很难在去噪的同时达到信号保真的效果。笔者针对该噪声的特征,选取了基于波动方程炮检距连续(offset continuation,OC)算子的OC-Seislet变换方法进行消噪处理;该方法应用OC算子来表征复杂波场,对含噪声数据进行压缩,在变换域通过软阈值处理实现信噪分离,再将结果反变换到数据域,从而达到去除涌浪噪声的目的。通过对模型数据和实际数据的处理,验证了OC-Seislet变换方法能够在去除原始数据中涌浪噪声的同时,最大程度地保护复杂构造下的地震波信息。  相似文献   

SOKKIA NET05全站仪自动目标识别精度测试与分析     

李翔  齐冬梅  蔡东健  勾启泰 《现代测绘》2010,33(5)

介绍了SOKKIA NET05全站仪自动目标识别功能的特点,分析了影响全站仪观测精度的误差来源。在多种观测条件下,对仪器自动目标识别精度进行了全面的测试和分析,与人工照准精度进行了比较,并对仪器自动目标识别夜间观测精度进行检测。结果表明,在正常观测条件下,仪器自动目标识别精度较高,且测值稳定。  相似文献   

华北近年水平形变与地震关系的研究     

郭良迁 《东北地震研究》1999,15(4):50-54

近年华北地区GPS水平形变反映出阴山－燕山南缘构造带、张家口－蓬莱隐伏断裂带、郯断裂带及建昌－邢台构造带具有较强的活动性,成为不同时间的压缩区段。近年的基线和位移量的表明：形变压缩区和位移量较大的地区是地应力积累较大地区,因此,成为中、强地震发生的场所,这两项可作为判定地震危险区的标志。  相似文献   

2016年门源6.4级地震地磁谐波振幅比异常特征分析     

李霞  冯丽丽  赵玉红  苟智栋 《地震地磁观测与研究》2018,39(3):81-88

2016年门源6.4级地震为甘—青地区孤立地震事件,且震中附近地磁台站分布均匀,分析总结此次地震前后地磁谐波振幅比变化特征。结果显示：①地震发生前后,震中附近台站地磁谐波振幅比下降—转折—恢复的异常变化过程,持续时间约1—2年;②震中距较小的台站记录显示,地震基本发生在谐波振幅比曲线转折恢复的变化后期阶段,且异常持续时间长;震中距较大的台站记录显示,地震一般发生在曲线趋势性下降—转折阶段,且异常持续时间稍短;③地震发生后,距震中较近的台站1年内Y_ZHx（NS）和Y_ZHy（WE）方向所有或大部分周期基本趋于恢复状态,且同步变化;距震中较远的台站1年内Y_ZHx（NS）和Y_ZHy（WE）方向大部分周期未达到恢复状态,且不同步变化显著。  相似文献   

用CAP方法研究重庆荣昌2014年2月23日M_L3.8地震震源机制     

王小龙  雷兴林  勾宪斌  郭欣  余国政 《中国地震》2015,31(2):290-296

利用CAP(cut-and-paste)法反演2014年2月23日重庆荣昌ML3.8地震震源机制,得到MW震级为3.04,节面Ⅰ走向46°、倾角44°、滑动角74°,节面Ⅱ走向247°、倾角48°、滑动角104°,P轴方位147.25°、仰角-2.09°,T轴方位46°、仰角-78.76°,表明该地震是带走滑分量的逆冲型地震。CAP测定的这次ML3.8地震的震源深度为3km,在油气的储层内,震源机制解中节面Ⅱ走向、倾角与震中附近的一条深度为1700m以下走向为SW230°倾向NW,倾角约45°的"腹底"逆断层基本一致。震中位于荣昌天然气田,附近有几口废水回注深井,曾发生大量的注水诱发地震。本次地震亦有可能是在区域主应力场的作用下,注水后岩石的孔隙压发生变化触发了盆地盖层内"腹底"断层活动的结果。  相似文献   

The sources and seasonal fluxes of particulate organic carbon in the Yellow River     

Yuanxin Qu  Zhangdong Jin  Jin Wang  Yunqiang Wang  Jun Xiao  Long-Fei Gou  Fei Zhang  Chun-Yao Liu  Yongli Gao  Marina B. Suarez  Xiaomei Xu 《地球表面变化过程与地形》2020,45(9):2004-2019

The Yellow River transports a large amount of sediment and particulate organic carbon (POC), which is thought to mainly derive from erosion of the Chinese Loess Plateau (CLP). However, the compositions, sources and erosional fluxes of POC in the Yellow River remain poorly constrained. Here we combined measurements of mineralogy, total organic carbon content (OC_total), stable organic carbon isotopes (δ¹³C_org), radiocarbon (¹⁴C) activity of organic matter in bulk suspended sediments collected seasonally from the upper and middle Yellow River, to quantify the compositions and fluxes of the POC and to assess its sources (biospheric and petrogenic POC, i.e. POC_bio and POC_petro, respectively). The results showed that the POC loading of sediments was controlled by mineralogy, grain size and specific surface area of loess particles. The F_mod of POC (0.71 to 0.31) can be explained by mixing of POC_petro with modern and aged POC_bio. A binary mixing model based on the hyperbolic relationship of the F_mod and OC_total revealed a wide range of ages of POC_bio from 1300 to 11100 ¹⁴C years. Relative to the upstream station, the annual POC_bio and POC_petro fluxes in the Yellow River are more than doubled after it flows crossing the CLP within 35% drainage area gain, resulting in POC_bio and POC_petro yields of the CLP at 3.50 ± 0.59 and 0.48 ± 0.49 tC/km²/yr, respectively. POC flux seasonal variation revealed that monsoon rainfall exerts a first-order control on the export of both POC_bio and POC_petro from the CLP to the Yellow River, resulting in more than 90% of the annual POC exported during the monsoon season. Around one third of annual POC erosional flux was transported during a storm event period, highlighting the important role of extreme events in POC export in this large river. © 2020 John Wiley & Sons, Ltd.  相似文献   

城市交通热点区域识别及空间交互分析     

颜亮  柳林  李万武 《北京测绘》2020,(4):467-471

出租车载客数据可以用于研究居民的出行特征,提取城市的交通热点区域,但对城市交通热点区域的交互关系研究相对较少。本文以纽约市的出租车行程记录数据为数据源,利用交通小区划分结合出租车载客数据提取城市交通热点区域,基于复杂网络的方法对不同日期类型和天气情况的城市交通热点区域空间交互网络进行研究并进行社区发现。结果表明,热点区域受城市核心区的影响而聚集在核心区域周围,城市内社区的形成可以克服地形和行政区域等因素的影响。研究结论有望为城市规划、城市交通管理、出租车调度、以及人们的出行等提供信息参考。  相似文献   

水磨—苟家地区早二叠世岩石地层及沉积环境新认识   总被引：2，自引：0，他引：2  

赵兵  吴山 《矿物岩石》1999,19(4):56-61

本文详细描述了有地区飞来峰早二叠世地层剖面。首次将区内早二叠世地层划归于阳新组并细分的四个岩性段,从而建立了地层层序。讨论了各岩性段的岩石学特征,基本层序及沉积环境,证实区内属浅滩－潮坪相“红色岩系”地层属阳新组二段而不是三叠系,为区内地层归属及构造格架提供了新资料。  相似文献   

Modeling N2O Emissions from Agricultural Fields in Southeast China     

Gou Ji  Zheng Xunhu  Wang Mingxing  Li Changsheng 《大气科学进展》1999,16(4):581-592

DNDC, a rainfall-driven and process-oriented model of soil carbon and nitrogen biogeochemistry, is applied to simulate the nitrous oxide emissions from agricultural ecosystem in Southeast China. We simulated the soil N₂O emission during a whole rice-wheat rotation cycle (from Nov. 1, 1996 to Oct. 31, 1997) under three different conditions, which are A) no fertilizer, B) both chemical fertilizer and manure and, C) chemical fertilizer only. The processes of N₂O emission were discussed in detail by comparing the model outputs with the results from field measurement. The comparison shows that the model is good at simulating most of the N₂O emission pulses and trends. Although the simulated N₂O emission fluxes are generally less than the measured ones, the model outputs during the dryland period, especially during the wheat reviving and maturing stages in spring, are much better than those during the paddy field period. Some sensitive experiments were made by simulating the N₂O emissions in spring, when there is a smallest gap between the simulated fluxes and the measured ones. Meanwhile, the effects of some important regulating factors, such as the rainfall, N deposition by rainfall, temperature, tillage, nitrogen fertilizer and manure application on N₂O emission during this period were analyzed. From the analysis, we draw a conclusion that soil moisture and fertilization are the most important regulating factors while the N₂O emission is sensitive to some other factors, such as temperature, manure, tillage and the wet deposition of atmospheric nitrate.  相似文献