一种利用水平截面法分析高压线塔倾斜度的误差模型

针对一种基于地面激光扫描技术的高压线塔倾斜度监测方法,分析了利用水平分层的点云面片中心偏移量计算高压塔倾斜度的算法原理,以及该算法的误差来源。研究表明,利用水平截面法监测出线塔倾斜误差量主要与线塔的倾斜量及上下非对称特性有关。经过公式推导,建立了主倾斜剖面上的倾斜误差改正模型,并开发了专用的点云数据处理软件。结合山西开采沉陷区的倾斜高压线塔实例,利用本法计算了线塔的倾斜值,并将结果与特征点法计算结果进行了对比,验证了算法和数据处理程序的有效性和精度。本文内容对利用激光扫描技术监测烟囱、高塔等上小下大的非对称高耸结构的倾斜量有较强的借鉴意义。     

基于DBN的车载激光点云路侧多目标提取

提出一种基于深度信念网络（DBN）的车载激光点云路侧多目标提取方法。首先通过预处理对原始数据进行分段,并将地面和建筑物点云与路侧目标进行分离;然后利用连通分支聚类分析算法进行路侧点云聚类,并采用基于体素的归一化分割方法分割重叠点云,从而生成独立目标点云;在此基础上,生成基于多方向目标对象的二值图像并展开成二值向量作为独立目标点云的描述特征;最后构建并训练DBN,利用训练好的DBN提取行道树、车辆及杆状目标等3类路侧目标。试验采用两份不同城市道路场景的点云数据,行道树、车辆及杆状目标提取结果的准确率分别达97.31%、97.79%、92.78%,召回率分别达98.30%、98.75%和96.77%,精度分别达95.70%、93.81%和90.00%,F1值分别达97.80%、96.81%和94.73%。试验结果验证了本文的有效性。     

联合多源重力数据反演菲律宾海域海底地形

对比分析重力-海深的“理论导纳”和实际数据的“观测导纳”,获得研究海域有效弹性厚度理论值为10 km。联合重力异常和重力异常垂直梯度数据,应用自适应赋权技术,采用导纳函数方法构建菲律宾海域1'×1'海底地形模型。试验发现,当重力异常垂直梯度反演海深结果与重力异常反演海深结果的权比为2∶3时,所构建的海深模型检核精度最高。同时,联合多源重力数据反演海深能够综合重力异常和重力异常垂直梯度在对待不同海底地形上的反演优势,生成精度优于单独使用重力异常数据和重力异常垂直梯度数据反演的海底地形模型。以船测数据作为外部检核条件,反演模型检核精度略低于V18.1海深模型,而相较于ETOPO1海深模型和DTU10海深模型检核精度分别提高了27.17%和39.02%左右;反演模型相对误差的绝对值在5%范围内的检核点大约占检核点总数的94.25%。     

阵发性洪水条件下辫状河型冲积扇构型研究:以准噶尔盆地西北缘现代白杨河冲积扇为例*

白杨河冲积扇是由阵发性洪水期的碎屑流沉积物与间洪期辫状河沉积物组成的复合型冲积扇,其构型与碎屑流扇的构型和河流型扇的构型有很大的不同。本研究选取准噶尔盆地西北缘干旱气候下发育的现代白杨河冲积扇作为解剖实例,对103个天然剖面和9个人工大型探槽进行了详细测量,在沉积微相及不同级别的沉积构型的观测和分析的基础上,分析了阵发性洪水条件下间歇性辫状河型冲积扇体的地貌单元的演化过程和沉积构型特征,研究不同流态的阵发性洪水条件下各种建造和改造机制,明确受阵发性洪水控制的间歇性辫状河型冲积扇的沉积特征,建立了其沉积构型模式。认为: 在洪水期,阵发性洪流(碎屑流)形成席状化的片流(或片洪)沉积,在洪退期,随着洪水强度的减弱,又转变为辫流沉积,而在间洪期,仍有持续的辫状流体(牵引流)在限制性的水道中流动,并对洪水期的碎屑流沉积物进行改造,形成了限制性的(条带状的)辫状河道沉积,2个时期的沉积物在时空上频繁叠置,形成了一种更加复杂的沉积构型。该模式对油田地下冲积扇砂砾储集层的成因识别、预测及对比具有一定的参考价值。     

江苏某材料厂周边农田土壤钼污染特征及农作物健康风险评价（84）

为了解江苏某材料厂金属冶炼活动引发的重金属污染风险,采集周围农田土壤、小麦和水稻籽实样品,确定Mo含量及其在土壤中的形态,采用地质累积指数和富集因子指标评价土壤中钼的污染风险,采用健康风险指数评价小麦、稻米中Mo的健康风险。结果表明,农田土壤中Mo含量在0.50～63.2 mg/kg之间,其平均值5.70 mg/kg远高于全省平均值0.65 mg/kg,表层土壤出现了中度—高度富集,近70%的样点受到不同程度的钼污染,污染范围距该厂300 m,污染深度>1.5 m。土壤中的Mo具有较高的生物有效性,在小麦、水稻籽实中显著富集,主要与土壤具有较高的全Mo含量以及土壤呈碱性有关。基于EPA的健康风险评估方法,食用当地稻米、小麦会产生较大的健康风险。     

2022年青海门源MS6.9地震余震的空间迁移特征

精确识别和定位中强地震序列中的微震事件对于准确判定发震构造具有重要的意义。文章对2022年1月8日发生在青藏高原东北缘的青海门源M_S6.9地震序列进行精定位及微震检测研究。首先运用双差定位法对2022年1月8—16日由中国地震台网中心记录的1 010个门源地震序列原始目录进行重定位,得到404个精定位地震目录。分别采用原始地震目录(CENC)和双差重定位目录(HypoDD),对震源区150 km范围内9个台站的连续波形数据进行微震检测。结果表明,基于CENC目录识别的余震个数是原始目录地震数量的3.0倍,基于HypoDD目录识别的地震个数是原始目录的2.1倍,是HypoDD目录的5.8倍;两种地震目录的微震检测均使得M_L震级完备性从1.7级降低至1.1级。新的地震目录空间位置显示,主震发生后余震主要沿托莱山断裂向西侧扩展,8分钟以后,在托莱山断裂和冷龙岭断裂均发生破裂。根据本研究获取的更高空间分辨率的地震序列,同时结合震源机制解,认为2022年门源M_S6.9地震初始破裂位于近E-W向的托莱山断裂,并触发了NW-SE向的冷...     

2016年新疆轮台MS 5.3地震序列尾波Qc值分析

基于Sato单次散射模型,利用轮台地震台单台记录,计算并分析2016年1月14日新疆轮台M_S5.3地震及余震序列尾波Q_c值震后变化,拟合得出Q_c值随频率的变化关系为Q_c (f) =（18.0±3.19）f^1.184±0.072。结果表明,Q_c值在序列初期起伏较大,随着强震后能量的释放,Q_c值趋于平缓;低频段的Q_c值在较大余震发生前有显著变化;不同中心频率点的Q_c值变化形态不一致。对Q_c值变化特征的研究,可为地震预报提供参考依据。     

Distribution characteristics and factors influencing microbial communities in the core soils of a seawater intrusion area in Longkou City,China

Microbes live throughout the soil profile. Microbial communities in subsurface horizons are impacted by a saltwater–freshwater transition zone formed by seawater intrusion (SWI) in coastal regions. The main purpose of this study is to explore the changes in microbial communities within the soil profile because of SWI. The study characterizes the depth-dependent distributions of bacterial and archaeal communities through high-throughput sequencing of 16S rRNA gene amplicons by collecting surface soil and deep core samples at nine soil depths in Longkou City, China. The results showed that although microbial communities were considerably impacted by SWI in both horizontal and vertical domains, the extent of these effects was variable. The soil depth strongly influenced the microbial communities, and the microbial diversity and community structure were significantly different (p < 0.05) at various depths. Compared with SWI, soil depth was a greater influencing factor for microbial diversity and community structure. Furthermore, soil microbial community structure was closely related to the environmental conditions, among which the most significant environmental factors were soil depth, pH, organic carbon, and total nitrogen.

     

Deep-seated toppling deformations of rock slopes in western China

Toppling is the foremost failure pattern of anaclinal rock slopes, and deep-seated toppling deformations (DSTDs) are common on high anaclinal slopes on the sides of gorges in western China. The DSTDs can develop to depths of more than 200 m, and may show distinct signs of zonal failure. Many DSTDs undergo transformation to large landslides involving rock volumes of more than 10⁶ m³. However, the conditions for the formation and the basic evolving processes of DSTDs remain unclear. This study seeks to develop an inventory to classify the distribution, and the conditioning factors which govern the formation and deformation modes of DSTDs in western China and to analyze the effect of the geological and geomorphological variables on the toppling intensities. To this end, forty-nine DSTDs were analyzed. The results indicate that DSTDs in western China are commonly distributed along large deeply incised rivers in the southeastern margin of the Qinghai-Tibet plateau. The steep-dip anaclinal metamorphic soft or soft-hard-interbedded strata with near parallel strikes in the river channel, V-shaped deeply incised river channels, and convex slopes are favorable conditions for the formation of DSTDs in these settings. The dip angle, the gradient, and the height of most slopes which develop DSTDs are 60–90°, 30–50°, and 200–800 m, respectively. There is a highly positive relationship between the depth of toppling and the height of the slope. The toppled rock masses can be classed as extremely intense, intense, moderate, and weak toppling zones characterized by complete block detachment, tensile-shear fracture, tensile fracture, and reverse slip along foliations, respectively. Each zone corresponds to a specific range of the dip angle of the toppled strata, the aperture of the tensile cracks, the P-wave velocity, the state of rock weathering, and the degree of unloading. The extremely intense and the intense toppling zones tend to evolve into sliding failures. Overall, 94% of the DSTDs were derived from flexural toppling and 33% have developed into large landslides.

     

Towards a rapid assessment of highway slope disasters by using multidisciplinary techniques

Mega-earthquakes and extreme climate events accompanied by intrinsic fragile geology lead to numerous landslides along mountain highways in Taiwan, causing enormous life and economic losses. In this study, a system for rapid slope disaster information integration and assessment is proposed with the aim of providing information on landslide occurrence, failure mechanisms, and subsequent landslide-affected areas to the highway authority rapidly. The functionality of the proposed system is deployed into three units: (1) geohazard rapid report (GeoPORT I), (2) multidisciplinary geological survey report (GeoPORT II), and (3) site-specific landslide simulation report (GeoPORT III). After landslide occurrence, the seismology-based monitoring network rapidly provides the initial slope disaster information, including preliminary location, event magnitude, earthquake activity, and source dynamics, within an hour. Within 3 days of the landslide, a multidisciplinary geological survey is conducted to collect high-precision topographical, geological, and remote-sensing data to determine the possible failure mechanism. After integrating the aforementioned information, a full-scale three-dimensional landslide simulation based on the discrete element method is performed within 10 days to reveal the failure process and to identify the areas potentially affected by subsequent disasters through scenario modeling. Overall, the proposed system can promptly provide comprehensive and objective information to relevant authorities after the event occurrence for hazard assessment. The proposed system was validated using a landslide event in the Central Cross-Island Highway of Taiwan.