Seismic clusters and their characteristics at the Arabian Sea Triple Junction: Supportive evidences for plate margin deformations

The plate margin features defining the Arabian Sea Triple Junction (ASTJ) are: the Aden Ridge (AR), Sheba Ridge (SR) with their intervening Alula-Fartak Transform (AFT), Carlsberg Ridge (CR) and Owen Fracture Zone (OFZ). Exact nature of ASTJ is presently debated: whether it is RRF (ridge-ridge-fault) or RRR (ridge-ridge-ridge) type. A revised seismicity map for ASTJ is given here using data for a period little more than a century. “Point density spatial statistical criterion” is applied to short-listed 742 earthquakes (mb ≥ 4.3), 10 numbers of spatio-temporal seismic clusters are identified for ASTJ and its arms. Relocated hypocentres help better constraining the cluster identification wherever such data exist. Seismic clusters actually diagnose the most intense zones of strain accumulation due to far field as well as the local stress operating at ASTJ. An earthquake swarm emanating from a prominent seismic cluster below SR provides an opportunity to investigate the pore pressure diffusion process (due to the active source) by means of “r-t plot”. Stress and faulting pattern in the active zones are deduced from 43 CMT solutions. While normal or lateral faulting is characteristic for these arms, an anomalous thrust earthquake occurs in the triangular ‘Wheatley Deep’ deformation zone proximal to ASTJ. The latter appears to have formed due to a shift of the deformational front from OFZ towards a transform that offsets SR. Though ASTJ is still in the process of evolution, available data favour that this RRF triple junction may eventually be converted to a more stable RRR type.     

A comparative study of sequential minimal optimization-based support vector machines,vote feature intervals,and logistic regression in landslide susceptibility assessment using GIS

Landslide susceptibility assessment using GIS has been done for part of Uttarakhand region of Himalaya (India) with the objective of comparing the predictive capability of three different machine learning methods, namely sequential minimal optimization-based support vector machines (SMOSVM), vote feature intervals (VFI), and logistic regression (LR) for spatial prediction of landslide occurrence. Out of these three methods, the SMOSVM and VFI are state-of-the-art methods for binary classification problems but have not been applied for landslide prediction, whereas the LR is known as a popular method for landslide susceptibility assessment. In the study, a total of 430 historical landslide polygons and 11 landslide affecting factors such as slope angle, slope aspect, elevation, curvature, lithology, soil, land cover, distance to roads, distance to rivers, distance to lineaments, and rainfall were selected for landslide analysis. For validation and comparison, statistical index-based methods and the receiver operating characteristic curve have been used. Analysis results show that all these models have good performance for landslide spatial prediction but the SMOSVM model has the highest predictive capability, followed by the VFI model, and the LR model, respectively. Thus, SMOSVM is a better model for landslide prediction and can be used for landslide susceptibility mapping of landslide-prone areas.     

Uncertainty representation of ocean fronts based on fuzzy-rough set theory

Analysis of ocean fronts' uncertainties indicates that they result from indiseemibility of their spatial position and fuzzi-ness of their intensity. In view of this, a flow hierarchy for uncertainty representation of ocean fronts is proposed on the basis of fuzzy-rough set theory. Firstly, raster scanning and blurring are carried out on an ocean front, and the upper and lower approximate sets, the indiscernible relation in fuzzy-rough theories and related operators in fuzzy set theories are adopted to represent its uncer-tainties, then they are classified into three sets: with members one hundred pereent belonging to the ocean front, belonging to the ocean front's edge and definitely not belonging to the ocean front. Finally, the approximate precision and roughness degree are util-ized to evaluate the ocean front's degree of uncertainties and the precision of the representation. It has been proven that the method is not only capable of representing ocean fronts' uncertainties, but also provides a new theory and method for uncertainty representation of other oceanic phenomena.     

山东寿光北部地区土壤盐渍化特征与现状评价

为了解山东寿光北部地区土壤盐碱化现状及为工程建设、生态环境改良提供基础资料,通过野外采样和室内试验,分析了土壤盐碱化分布特征和类型,识别出盐分的主要形态.结果表明,研究区土壤含盐量总体不高,局部地段处于轻度至中度盐渍化程度;盐分含量北高南低,近似平行于海岸分布;土壤中阳离子以Na+为主,阴离子主要为Cl-和SO42-,盐分类型为氯盐渍土、亚氯盐渍土和亚硫酸盐渍土三类.     

盘锦港海底表层沉积物粒度特征及沉积环境分析

以盘锦港荣兴港区海底表层沉积物为主要研究对象,通过对不同位置表层沉积物样品的粒度特征进行对比,探讨该区的沉积环境。利用贝克曼库尔特激光粒度仪对其粒度进行了检测,并计算了粒度参数,结果表明:本区7个沉积物样品以粉砂、砂为主,样品平均粒径值介于3.19~5.46Φ。分选性为较差-很差。样品偏度表现为正态-极正偏。峰度的等级为平坦-尖锐。借助Weibull函数计算出了样品2个组分的众数值和百分含量,粒度像图显示样品的初始水动能普遍较大,只是平均水动能存在差异。说明:沉积区的物源距离较近,物质来源比较稳定,以陆源沉积为主,沉积主要受辽河和大辽河控制;在河流沉积作用为主的大背景下,研究区东北部的沉积环境受潮流的影响比较大,中西部则受剥蚀作用影响较大。     

Early J2 basalts in SE China: Incipience of large-scale late Mesozoic magmatism

Magmatism in SE China was dormant during 204–180 Ma, but was reactivated in 180–170 Ma (early J₂), and then became more and more intensive towards the end of early Cretaceous. The small-scale early J₂ magmatism is the incipience to long-term and large-scale magmatism in this region. A near east-west (EW) trend volcanic belt was distributed across south Hunan, south Jiangxi and southwest Fujian was formed during early J₂ time. Along this belt from the inland toward the coast, the lithology of basalts changes from alkali into tholeiite, and the amount of erupted volcanic rocks and the proportions of rhyolites coexisting with the basalts increase. On the basis of geochemical characteristics of these basalts, we infer that the melting degree of source rocks and the extent of fractional crystallization and crustal contamination all increased whereas the depth of mantle source decreased from the inland to the coast, which led to the variations of geological characteristics of the volcanic belt. In early J₂, the western spreading Pacific plate began to subduct underneath SE China continental block, reactivating near EW trend deep fault that was originally formed during the Indosinian event. The stress of the western spreading Pacific plate and the extent of asthenosphere upwelling increased from the inland to the coast, which is consistent with the generation and evolution of early J₂ basalts.     

L波段探测系统使用心得

呼和浩特观象台自2008年9月1日使用L波段雷达─GTS1型数字式探空仪气象探测系统,综合探测已2个多月了,在工作期间积累了一些经验,与各位同行交流。1     

东昆仑阿尼玛卿地区古特提斯火山作用和板块构造体系

东昆仑阿尼玛卿蛇绿岩带标志古特提斯洋关闭后的板块缝合带。在该缝合带及周围识别出4套与洋盆扩张和俯冲作用有关的火山岩,由南至北,分别为洋底玄武岩、岛弧火山岩、弧后盆地玄武岩和后碰撞火山岩。板块构造体系说明洋壳俯冲极性从南向北。已有年代学证据表明:阿尼玛卿洋盆的开启时代至少可以早到晚石炭世(308Ma),洋盆关闭可能在早三叠世;岛弧火山岩的时代为晚二叠世(260Ma);弧后盆地火山岩的时代为早中三叠世;后碰撞火山岩的时代为晚三叠世。三叠纪沿缝合带及其北部形成了一系列巨大的左旋走滑断裂系,包括东昆仑南缘左旋走滑断裂(200~220Ma)、阿尔金断裂的早期走滑剪切断裂系(220~230Ma)以及南祁连南缘巨型左旋走滑断裂(240~250Ma)。认为它们形成于阿尼玛卿古特提斯洋的关闭和斜向碰撞作用,但主要在俯冲板块折返阶段或逆冲岩片的抬升阶段,其时也是后碰撞岩浆活动和火山喷发阶段。     

Long-term soil moisture dynamics derived from GNSS interferometric reflectometry: a case study for Sutherland,South Africa

Soil moisture is a geophysical key observable for predicting floods and droughts, modeling weather and climate and optimizing agricultural management. Currently available in situ observations are limited to small sampling volumes and restricted number of sites, whereas measurements from satellites lack spatial resolution. Global navigation satellite system (GNSS) receivers can be used to estimate soil moisture time series at an intermediate scale of about 1000 m². In this study, GNSS signal-to-noise ratio (SNR) data at the station Sutherland, South Africa, are used to estimate soil moisture variations during 2008–2014. The results capture the wetting and drying cycles in response to rainfall. The GNSS Volumetric Water Content (VWC) is highly correlated (r ² = 0.8) with in situ observations by time-domain reflectometry sensors and is accurate to 0.05 m³/m³. The soil moisture estimates derived from the SNR of the L1 and L2P signals compared to the L2C show small differences with a RMSE of 0.03 m³/m³. A reduction in the SNR sampling rate from 1 to 30 s has very little impact on the accuracy of the soil moisture estimates (RMSE of the VWC difference 1–30 s is 0.01 m³/m³). The results show that the existing data of the global tracking network with continuous observations of the L1 and L2P signals with a 30-s sampling rate over the last two decades can provide valuable complementary soil moisture observations worldwide.     

测绘工程专业“测绘管理”课程教学探讨

结合“测绘管理”课程的教学实践,针对测绘工程专业的培养目标和注册测绘师制度对人才的要求,论述了“测绘管理”课程的课程目标、课程特点和教学要求,对教学设计进行了较为深入的探讨,最后提出了几条教学建议.