A Basal Titanosauriform from the Early Cretaceous of Guangxi, China

Based on a partial postcranial skeleton collected from the Lower Cretaceous Napai Formation of Guangxi, China, we erect a new sauropod taxon, Fusuisaurus zhaoi gen. et sp. nov. The holotype specimen consists of the left ilium, left pubis, anterior caudals, most of the dorsal ribs and distal end of the left femur. Fusuisaurus zhaoi is diagnosed by a unique combination of character states among the known sauropods. It displays several synapomorphies of Titanosauriformes but lacks many derived features seen in other titanosauriforms, suggesting that the new taxon represents the basalmost known titanosauriform and providing new evidence that Titanosauriformes originated from Asia. A size comparison suggests that Fusuisaurus zhaoi is among the largest Early Cretaceous sauropods, providing an important addition to the Early Cretaceous Chinese sauropod diversity.     

伽师强震群的深部动力学条件

根据天山造山带及其两侧的塔里木盆地和准噶尔盆地的岩石圈二维速度结构、二维密度结构、二维电性结构、壳幔过渡带的详细结构以及大地热流和震源深度的分布,再结合对新疆西北部的蛇绿岩带、高压变质带和岩浆岩分布的综合分析,建立了天山造山带的地球动力学“层间插入消减”模型。该模型认为,塔里木板块的中上地壳在库尔勒断裂附近向天山造山带的中下地壳层间插入;而下地壳连同岩石圈地幔向天山造山带的上地幔俯冲消减。在天山的西段（哈萨克斯坦境内）,费尔干纳地块由北向南插入到南天山之下约180km的深处,在其东段（中国境内）,塔里木盆地由南向北插入南天山之下。这两个具有不同方向的下降板片的接触部位为费尔干纳走滑断裂。我国的伽师、喀什、乌恰地震区均落在这两个具有不同俯冲方向板块的结合部位附近,有着特殊的深部构造背景。南、北两大板块的双向挤压必定产生强大的应力,在地震区附近,这种应力的积累与释放具有4个显著的特点：（1）板片的俯冲消减速度约高达每年22mm左右;（2）应力的积累与释放速率加快;（3）应力释放较容易;（4）应力释放较为集中。这4个特点可能是伽师地区在较短的时间内连续发生数次强震的构造因素。     

矿床同位素定年方法的应用现状评析

高质量的年代学数据是矿床研究和对比的基础.针对近二十几年来在具体矿床同位素定年研究中,不同学者对同一矿床采用不同的定年方法常常得出相差十分悬殊的结论,甚至出现与地质事实截然相悖年龄数据的现象,文章对最常用的锆石U-Pb法、自生伊利石K-Ar法、金属硫化物Re-0s和Sm-Nd法、石英流体包裹体40Ar/39Ar法和Rb-Sr等时线法以及释光测年进行了评析.强调一套合理的矿床同位素年龄数据的获得,必须加强对地质背景的研究;明确测年矿物与矿化的成因联系,选择合适的定年方法.综合地质背景及可靠准确的年代学数据,对地质事件与成矿事件的联系做出合理的解释.     

深圳市龙岗区同乐村岩溶地面塌陷特征及形成机理初步探讨

2004年11月9日凌晨2时许,深圳市龙岗区同乐居委会水流田村发生岩溶地面塌陷,倒房1栋,所幸无人伤亡。本文在工程地质勘察的基础上,对此次塌陷的特征及形成机理作了初步探讨,提出深埋岩溶地面塌陷,除有溶洞、地下水等必要条件,还与第四系沉积物的成分、结构、透水性密切相关,同时地质构造也起着控制作用。深埋岩溶地面塌陷与浅层地下水的多寡及垂直活动特性密切相关。     

Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer

As threats of landslide hazards have become gradually more severe in recent decades,studies on landslide prevention and mitigation have attracted widespread attention in relevant domains.A hot research topic has been the ability to predict landslide susceptibility,which can be used to design schemes of land exploitation and urban development in mountainous areas.In this study,the teaching-learning-based optimization(TLBO)and satin bowerbird optimizer(SBO)algorithms were applied to optimize the adaptive neuro-fuzzy inference system(ANFIS)model for landslide susceptibility mapping.In the study area,152 landslides were identified and randomly divided into two groups as training(70%)and validation(30%)dataset.Additionally,a total of fifteen landslide influencing factors were selected.The relative importance and weights of various influencing factors were determined using the step-wise weight assessment ratio analysis(SWARA)method.Finally,the comprehensive performance of the two models was validated and compared using various indexes,such as the root mean square error(RMSE),processing time,convergence,and area under receiver operating characteristic curves(AUROC).The results demonstrated that the AUROC values of the ANFIS,ANFIS-TLBO and ANFIS-SBO models with the training data were 0.808,0.785 and 0.755,respectively.In terms of the validation dataset,the ANFISSBO model exhibited a higher AUROC value of 0.781,while the AUROC value of the ANFIS-TLBO and ANFIS models were 0.749 and 0.681,respectively.Moreover,the ANFIS-SBO model showed lower RMSE values for the validation dataset,indicating that the SBO algorithm had a better optimization capability.Meanwhile,the processing time and convergence of the ANFIS-SBO model were far superior to those of the ANFIS-TLBO model.Therefore,both the ensemble models proposed in this paper can generate adequate results,and the ANFIS-SBO model is recommended as the more suitable model for landslide susceptibility assessment in the study area considered due to its excellent accuracy and efficiency.     

利用MODIS资料遥感水体上空气溶胶粒子尺度的数值试验

利用卫星探测辐射的光谱依赖性来反演大气气溶胶粒子尺度分布,首先要建立反演算法并检验其可行性。本文参照文献[1]对暗的海洋上空MODIS资料的处理方法,针对大陆水库上空卫星探测MODIS辐射信号,利用6S(Second Simulation of the Satellite Signal in the Solar Spectrum)辐射模式建立一个查算表(Look-up table:LUT)来反演大气气溶胶粒子尺度分布;然后通过数值试验对所建立的查算表进行检验,讨论其方法的可行性。数值试验结果表明,查算表对大陆性气溶胶尺度分布有反演能力,但拟合误差sεl值随着气溶胶光学厚度的增加而增加。     

鲁西南霾天气个例分析

2007年6月11～13日鲁西南连续3天出现罕见的霾天气过程,为了弄清楚这次霾天气过程形成的天气学原因.利用常规气象资料、探空站资料及自动气象站资料和空气污染资料对这次过程进行综合分析.结果表明,霾的形成是多种气象因素共同作用的结果,大陆暖高压东移人海,其底部的偏东气流将海上的低温高湿空气向鲁西南输送,是霾形成的有利环流条件;中低层风速较小,且风向随高度逆转,是霾形成的有利风场;大气层结稳定,且低层存在逆温层是霾形成的重要条件;高污染浓度是形成霾的物质基础.     

CINRAD RPG累积降水算法在文山州的应用

把降水实况和相应时段内C INRAD RPG 1h累积降水量进行对比分析,检验C INRAD RPG 1h累积降水量在文山地区的可靠性。经过对比分析可知,C INRAD RPG1h累积降水量虽然存在严重偏差,不能根据其对降水作定量估计,但它对区域降水仍然具有较好的指示性,可以根据相关数值估计降水量级。     

基于水合物指示因子的地震识别方法

速度是水合物勘查的重要参数,但是速度的影响因素众多,给高精度识别水合物带来一定困难.水合物储层岩石物理是研究多种因素对速度影响的有效手段之一.考虑到水合物储层未固结等特征,本文采用SCA-DEM模型,重点对比了孔隙度、饱和度等对纵横波速度以及AVO特征的影响,并构建了一种新的水合物指示因子,消除了由于孔隙变化带来的假异...