2017年3月27日漾濞5.1级地震前后气枪震源观测走时数据的变化

以2017年3月27日漾濞5.1级地震为例,根据区域特性和信噪比要求,选取数据较为完整的6个台站记录的2017年1月1日～6月6日期间的宾川地震信号发射台气枪震源波形资料,采用互相关检测技术提取6个台站各自稳定震相的走时数据,并对漾濞5.1级地震前后走时数据的变化情况进行分析。结果表明,漾濞5.1级地震前后6个台站各自稳定震相存在较为明显的走时变化,且短期内走时变化具有较好的同步性,相关台站异常幅度大小和异常出现时间存在细小差异。地震发生前,6个台站走时低值异常过程明显,以YUL台最为显著。地震发生前后走时变化形态特征为双“V”型,漾濞5.1级地震发生在第1个“V”型末端。地震发生后,不同方位相关台站受地震的影响程度不同,走时波动大小存在差异。     

宁河-昌黎断裂基于浅层地震勘探资料研究

宁河—昌黎断裂长约170 km,为燕山隆起、山海关隆起与黄骅拗陷的分界断裂,断裂西南起自宁河,向东北经南套南、大夫庄南、杨家坨,过昌黎转向东入海,断裂走向NE50°~70°,倾向SE,为上陡下缓的铲形正断层,该断裂为一条地壳基底深断裂,控制了南侧黄骅坳陷北段中、新生代沉积。河北省工程地震勘察研究院于2007年、2014年先后在昌黎、滦南、唐海、丰南布设了4条浅层地震勘探测线对宁河—昌黎断裂进行了探测,浅层地震勘探应用美国GEOMETRICS公司STRATAVISOR NX96高分辨数字地震勘探系统,采用70 kg冲击震源,单边激发多次覆盖观测系统,覆盖次数12次。应用Vista地震处理软件系统,通过对数据进行真振幅恢复、地表一致性振幅补偿等处理方法,获得高质量的地震勘探时间剖面。为获得断裂活动时代的重要信息,通过浅层地震勘探处理过程中的中间数据获得地震剖面时—深转换速度参数,从而获得地震勘探深度剖面,结合测线附近地层层序资料,与地震勘探深度剖面进行对比分析,从而获得断裂的上断点埋深和最新活动时代认识。浅层地震勘探剖面揭示,宁河—昌黎断裂浅部由一条主断层和一条次级断层组成;断层上断点埋深40~110 m,断裂活动时代具有分段活动特征,断裂北段活动时代为晚更新世早期,南段为晚更新世中期;断裂走向为北东的段落,为正断层,走向为北西的段落,以走滑运动为主。     

Analysis of Paleoseismic Events of Dahuzhuang Trench at the Xiadian Fault

The Xiadian Fault is a very important concealed active fault in the Beijing Plain. It is the seismogenic fault of the Sanhe-Pinggu M_S8.0 earthquake in 1679. The ancient earthquake sequence in the long historical period is of great significance to understand accurately the activity characteristics of the fault and effectively reduce the earthquake disaster risk in Beijing. We have re-interpreted the Dahuzhuang trench, and identified three layers of buried paleosol, six collapsed wedges and one sand liquefaction event. Further, through the comparison with the landmark strata and paleo-earthquake events revealed by other trenches on the fault, an ancient earthquake sequence with a long historical period of the Xiadian Fault was established:since the 31ka, the Xiadian Fault has 11 occurrences of earthquake events (including the 1679 earthquake), and the average recurrence interval is about 2.8ka. The paleo-seismic sequence also shows that there is an ancient earthquake cluster period from 25ka to 15ka, and there are 5 strong earthquakes in the cluster period. The average recurrence interval is about 2.0ka, which reflects the phase difference of the Xiadian Fault activity.     

Some Thoughts on the Earthquake Science Experimental Site——The Underground Cloud Map

The Western Yunnan Earthquake Predication Test Site set up jointly by the China Earthquake Administration, the National Science Foundation Commission of America, and United States Geological Survey has played an important role in development of early earthquake research work in China. Due to various objective reasons, most of the predicted targets in the earthquake prediction test site have not been achieved, and the development has been hindered. In recent years, the experiment site has been reconsidered, and renamed the “Earthquake Science Experimental Site”. Combined with the current development of seismology and the practical needs of disaster prevention and mitigation, we propose adding the “Underground Cloud Map” as the new direction of the experimental site. Using highly repeatable, environmentally friendly and safe airgun sources, we could send constant seismic signals, which realizes continuous monitoring of subsurface velocity changes. Utilizing the high-resolution 3-D crustal structure from ambient noise tomography, we could obtain 4-D (3-D space + 1-D time) images of subsurface structures, which we termed the “Underground Cloud Map”. The “Underground Cloud Map” can reflect underground velocity and stress changes, providing new means for the earthquake monitoring forecast nationwide, which promotes the conversion of experience-based earthquake prediction to physics-based prediction.     

晋冀蒙交界地区最小一维速度模型联合反演

文章使用内蒙古地震台网记录到的晋冀蒙交界地区517个定位地震,在参考原始编目报告的基础上,用和达法拟合走时曲线删除错误数据,使用Kissling方法联合反演得到晋冀蒙交界地区最小一维P波速度模型和震源位置。结果显示,研究区P波速度随着深度增加而递增,无明显间断面,联合反演得到的震中位置较原始报告分布更集中,簇状分布更明显。     

Factors structuring phytoplankton community in a large tropical river: Case study in the Red River (Vietnam)

Algal assemblages have been widely used as an ecological indicator of aquatic ecosystem health conditions because of their specific sensitivity to a wide variety of environmental conditions. In turbid rivers, as in other aquatic systems, phytoplankton structure plays an important role in structuring aquatic food webs. Worldwide, phytoplankton is less studied in turbid, large tropical rivers compared to temperate river systems. The present study aimed to describe the phytoplankton diversity and abundance in a turbid tropical river (the Red River, northern part of Vietnam from 20°00 to 25°30 North; from 100°00 to 107°10 East) and to determine the importance of a series of environmental variables in controlling the phytoplankton community composition. Phytoplankton community was composed of 169 phytoplankton taxa from six algal groups including Bacillariophyceae, Chlorophyceae, Cryptophyceae, Euglenophyceae, Dinophyceae and Cyanobacteria. Community composition varied both spatially and with season. Sixteen measurement environmental variables were used as input variables for a three-layer backpropagation neural network that was developed to predict the phytoplankton abundance. Phytoplankton abundance was successfully predicted using the tagsig transfer function and the Levenberg-Marquardt backpropagation algorithm. The network was trained to provide a good overall linear fit to the total data set with a slope (R) and mean square error (MSE) of 0.808 and 0.0107, respectively. The sensitivity analysis and neutral interpretation diagram revealed that total phosphorus (TP), flow discharge, water temperature and P-PO₄³⁻ were the significant variables. The results showed that the developed ANN model was able to simulate phytoplankton abundance in the Red River. These findings can help for gaining insight into and the relationship between phytoplankton and environmental factors in this complex, turbid, tropical river.     

Palaeoclimate indicators (clay minerals,calcareous nannofossils,stable isotopes) compared from two successions in the late Jurassic of the Volga Basin (SE Russia)

A study of clay mineral and calcareous nannofossil abundances in late Jurassic–early Cretaceous sediments from the Volga Basin, SE Russia, is presented. From these results, we are able to compare some general patterns of mineralogical and palaeontological change for the Volga Basin to the palaeoclimate models developed for northern Europe and beyond. The two successions examined comprise calcareous mudstones with black organic‐rich shale horizons, overlain by a series of phosphatic silty sands. Clay mineralogical results show a progressive decrease in kaolinite and the concomitant increase of smectite and illite through the middle Volgian, followed by an abrupt increase in kaolinite in the late Volgian. The clay mineral evidence suggests increasing aridity at the end of the Jurassic, similar, in part, to many western European successions. Because of differential settling of clay minerals, superimposed upon this possible climatic signature is likely to be the effect of relative sea‐level change. Calcareous nannofossil analysis from a single section reveals a shift through the middle Volgian from low nutrient, warm water assemblages dominated by Watznaueria to cooler surface water and high nutrient assemblages dominated by Biscutum constans. These observations suggest that increased aridity is also associated with climatic cooling. Black shales are associated with increased productivity, higher sea levels and increases in smectite content. Hence, periods of low (chemical) hinterland weathering during semi‐arid conditions are paradoxically associated with relatively nutrient‐rich waters, and organic‐rich shales. Comparison of published carbon and oxygen stable isotope results from this and other sections to the clay mineral and nannofossil data confirms the palaeoclimatic interpretation. This study significantly improves the published biostratigraphically constrained clay mineral database for this time period, because other European and North American successions are either non‐marine (and thus poorly dated), absent (through penecontemporaneous erosion) or condensed. Copyright © 2002 John Wiley & Sons, Ltd.     

太湖地区河网水体石油类浓度预测

利用完全混合系统水文动力学模型,对太湖地区河道改造后,由于船型及船流量发生变化而导致的水体石油类浓度的变化进行了预测。通过类比分析得出：预测结果基本符合实际。     

南海北部金线鱼最大可持续产量和总可捕量的研究

限额捕捞试点工作逐步展开,预示着我国海洋渔业管理进入全面有序的管理时代。文章根据2008—2017年南海北部渔港渔业生产抽样调查数据,统计出南海北部金线鱼的产量主要来自刺网,占累计总产量的72.90%。剩余产量模型分析认为南海北部金线鱼的最大可持续产量在168 632.99~31 0518.85 t,平均为251 765.59 t。2017年实施最严格的休渔制度后,当年的捕捞努力量投入和渔业产量均未超过最适值,当前总可捕量可设为158 515 t。文章研究结果可为该鱼种限额捕捞政策实施提供参考。     

黄河上游茨哈峡至积石峡段鱼类资源调查(2005-2010年)

2005-2010年对黄河上游茨哈峡至积石峡河段进行鱼类资源调查.结果表明,该河段分布有鱼类39种,分别隶属6目9科29属.鲤形目为主要类群,共2科8亚科20属27种,鲤科16属16种,鳅科4属11种;鲑形目2科3亚科4属5种;鲈形目2科2属4种;鲇形目、鳉形目、合鳃鱼目各1科1属1种.采集到鱼类36种,新增补鱼类7种(其中土著鱼类1种,外来鱼类6种).Margalef丰富度指数为0.692~1.753,香农威纳生物多样性指数为0.796~1.734,Shannon-Wiener改进指数为2.699~9.349,Wilhm改进指数为0.733~1.839,辛普森指数为0.406~0.764,Pielou指数为0.495~0.850.这表明该河段鱼类多样性不高,各样点间差异不显著,但不同水域渔获物组成存在一定的差异.本文对重要土著鱼类和外来鱼类的生态习性进行调查,并对鱼类资源衰退进行分析,提出了保护建议.