Seismic moment tensor representations and radiation patterns in unbounded media with elipsoidal cavities driven by low frequency pressure

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The information system of the French Peatland Observation Service: Service National d'Observation Tourbières – A valuable tool to assess the impact of global changes on the hydrology and biogeochemistry of temperate peatlands through long term monitoring

Mitigating and adapting to global changes requires a better understanding of the response of the Biosphere to these environmental variations. Human disturbances and their effects act in the long term (decades to centuries) and consequently, a similar time frame is needed to fully understand the hydrological and biogeochemical functioning of a natural system. To this end, the ‘Centre National de la Recherche Scientifique’ (CNRS) promotes and certifies long-term monitoring tools called national observation services or ‘Service National d'Observation’ (SNO) in a large range of hydrological and biogeochemical systems (e.g., cryosphere, catchments, aquifers). The SNO investigating peatlands, the SNO ‘Tourbières’, was certified in 2011 ( https://www.sno-tourbieres.cnrs.fr/ ). Peatlands are mostly found in the high latitudes of the northern hemisphere and French peatlands are located in the southern part of this area. Thus, they are located in environmental conditions that will occur in northern peatlands in coming decades or centuries and can be considered as sentinels. The SNO Tourbières is composed of four peatlands: La Guette (lowland central France), Landemarais (lowland oceanic western France), Frasne (upland continental eastern France) and Bernadouze (upland southern France). Thirty target variables are monitored to study the hydrological and biogeochemical functioning of the sites. They are grouped into four datasets: hydrology, fluvial export of organic matter, greenhouse gas fluxes and meteorology/soil physics. The data from all sites follow a common processing chain from the sensors to the public repository. The raw data are stored on an FTP server. After operator or automatic processing, data are stored in a database, from which a web application extracts the data to make them available ( https://data-snot.cnrs.fr/data-access/ ). Each year at least, an archive of each dataset is stored in Zenodo, with a digital object identifier (DOI) attribution ( https://zenodo.org/communities/sno_tourbieres_data/ ).     

Geophysical Finite-Element Simulation Tool (GeoFEST): Algorithms and Validation for Quasistatic Regional Faulted Crust Problems

GeoFEST (Geophysical Finite Element Simulation Tool) is a two- and three-dimensional finite element software package for the modeling of solid stress and strain in geophysical and other continuum domain applications. It is one of the featured high-performance applications of the NASA QuakeSim project. The program is targeted to be compiled and run on UNIX systems, and is running on diverse systems including sequential and message-passing parallel systems. Solution to the elliptical partial differential equations is obtained by finite element basis sampling, resulting in a sparse linear system primarily solved by conjugate gradient iteration to a tolerance level; on sequential systems a Crout factorization for the direct inversion of the linear system is also supported. The physics models supported include isotropic linear elasticity and both Newtonian and power-law viscoelasticity, via implicit quasi-static time stepping. In addition to triangular, quadrilateral, tetrahedral and hexahedral continuum elements, GeoFEST supports split-node faulting, body forces, and surface tractions. This software and related mesh refinement strategies have been validated on a variety of test cases with rigorous comparison to analytical solutions. These include a box-shaped domain with imposed motion on one surface, a pair of strike slip faults in stepover arrangement, and two community-agreed benchmark cases: a strike slip fault in an enclosing box, and a quarter-domain circular fault problem. Scientific applications of the code include the modeling of static and transient co- and post-seismic earth deformation, Earth response to glacial, atmospheric and hydrological loading, and other scenarios involving the bulk deformation of geologic media.     

Selection of the wavenumbers k using an optimization method for the inverse Fourier transform in 2.5D electrical modelling

An optimization method is used to select the wavenumbers k for the inverse Fourier transform in 2.5D electrical modelling. The model tests show that with the wavenumbers k selected in this way the inverse Fourier transform performs with satisfactory accuracy.     

多通道大功率电法勘探仪集成试验

采用自主研发的多通道大功率电法勘探仪进行了深部矿勘探测试.首先在河北省张家口市张北县进行了仪器整体的调试和波形测试等试验,试验结果表明,在大偏移距情况下,尽管存在50 Hz电磁干扰,也能获得与发射波形相关的波形曲线,验证了仪器系统的正确性和稳定性.然后在内蒙古曹四夭钼矿区采集了4.8 km的剖面数据,并进行了相应的数据处理工作.对所采集的数据进行了大地脉冲响应计算、峰值时刻提取和视电阻率计算,以及电阻率二维反演工作,反演的的电阻率断面结构与已知地质资料相吻合,验证了数据流程和处理方法的正确性.此次多通道大功率电法勘探仪的成功集成,为进一步大规模比对试验和装备整装勘探打下了基础.     

龙门山及其邻区的地壳厚度和泊松比

根据龙门山及其周边地区(26°～35°N,98°～109°E)的132个台站的宽频带远震记录,使用H-k叠加方法计算地壳厚度和波速比.结果表明该区域的地壳厚度总体变化是:从东向西增加,东部的最小厚度为37.8km,西部的最大厚度是68.1 km,其中横跨龙门山断裂带的地壳厚度变化最大,从东南的41.5km增加到西北的52.5km.根据Airy均衡理论,用台站的高程和观测地壳厚度数据求得最小二乘意义下的壳幔密度差为0.649g/cm3,平均地壳厚度为37.9km.龙门山及其邻近地区基本上处于均衡状态.松潘-甘孜地体北部和西秦岭造山带具有低泊松比(v<0.26),扬子地台的西南部具有低一中泊松比(v<0.27),松潘-甘孜地体南部、三江褶皱带和四川盆地具有中一高泊松比(0.26≤P≤0.29).该地区的泊松比空间分布不支持青藏高原东部广泛分布的下地壳流的假说.龙门山断裂带南段及其附近地区的高泊松比(v≥0.30)可以看成是地壳具有较高的铁镁质组分和/或存在部分熔融.该地区下地壳可能是处于富含流体和温度较高的部分熔融状态.松潘-甘孜块体南部的上地壳物质向东运动,受刚性强度较大的扬子地台的阻挡,导致沿龙门山断裂带产生应变积累.当断层被地壳流体弱化,积累的应变能量快速释放,产生汶川Ms8.0地震.     

青山-横塘矿区铅锌矿床控矿断裂特征及找矿评价

黔西北铅锌成矿区海西期经历了北西向水城断陷的发育演化,沉积了巨厚的泥盆系、古炭系地层,形成区域内主要的矿化层位。青山－横塘矿区位于威水铅锌成矿带之水城中部矿田,区内构造发育,成矿条件有利,产出了青山、横塘等中小型矿床,从矿区内控矿断裂的同生活动特征分析,断陷盆地内ＮＷ 断裂的同生活动控制了矿带,活动较强烈地段控制了矿区,ＮＥ向断裂的同生活动控制了矿床。     

火焰原子吸收法间接测定磷矿中氯

火焰原子吸收法间接测定磷矿中氯达刘生１云南个旧市化肥厂中心化验室个旧６６１４１１目前磷矿中Ｃｌ－含量的测定多采用浊度法、氯离子选择电极法及离子色谱法。本文采用火焰原子吸收法来间接测定磷矿中Ｃｌ－,即在试样溶液中加入定量的Ａｇ＋,试样中Ｃｌ－与Ａｇ＋生...     

计算机网络的分布式计算环境及分布式处理

本文对网络计算模式、分布式计算环境以及分布式处理机能作了分析和探讨。     

金华市不同区域负氧离子浓度特征与气象环境因素相关分析

利用2019—2021年金华市空气负氧离子浓度和气象环境资料，研究不同区域（平原城区、平原公园、水边景区、山林景区）负氧离子浓度时空分布特征，分析人类活动最多的城区负氧离子浓度与气象环境因素不同时间尺度的相关性，以及不同天空状况的差异。结果表明：负氧离子浓度呈现平原低、山区高的分布特征，植被茂密、动态水流可增加负氧离子浓度和提高浓度等级。山林景区日出和日落前后负氧离子浓度较高，水边景区凌晨和午后出现高值，平原地区则在下午达到高峰。不同区域四季日变化趋势整体较一致，但不同季节负氧离子浓度峰值大小、日较差和出现峰值时刻存在差异。四季不同区域负氧离子浓度有所差异，主要表现为6—9月高，其中尤以8月山林景区为最。负氧离子浓度与气象环境因素的相关性在不同时间尺度上差异较大：时尺度上与气温、风速、雨量和O3呈显著正相关，而与PM2.5呈显著负相关。四季看，负氧离子浓度春季与风速相关性最高，夏季为气温，秋季为O3，冬季为PM2.5。日尺度上则与相对湿度、风速、雨量呈显著正相关，与PM2.5和O3呈显著负相关，且雨天负氧离子浓度明显高于其他天空状况，差异在冬季达最大。