A New Ootype of Dinosaur Egg (Faveoloolithidae: Duovallumoolithus shangdanensis oogen. et oosp. nov.) from the Late Cretaceous in the Shangdan Basin,Shaanxi Province,China

A new ootype collected from the Upper Cretaceous Lijiacun Formation in the Shangdan Basin, Shaanxi Province is described in this paper. Based on general external shape, size, eggshell thickness and honeycomb‐like eggshell microstructure, eggs are referable to the oofamily Faveoloolithidae. Compared with other members of Faveoloolithidae, specimens described in this paper show special characteristics: adjacent pores are usually separated by two eggshell units between which often develop interspaces; columnar eggshell units are relatively closely arranged in radial view. According to these characteristics, we erect a new oogenus and a new oospecies: Duovallumoolithus shangdanensis oogen. et oosp. nov. The new discovery expands the diversity of Faveoloolithidae.     

钻井利器的故事之“铝合金钻杆”

地球科学的发展对地球深部数据的依赖程度越来越高,作为“入地”重要手段的科学超深井工程是研究深部地质学的重要方法,被誉为是“伸入地壳的望远镜”。与钢钻杆相比,铝合金钻杆以其独特的优越性(质量轻、比强度高、钻进深度深、所需能耗少),已成为难进入地区、大位移井、超深井等钻柱设计的优选方案。本文从科普的角度介绍了钻柱与钻杆的区别、钻柱的使用极限长度、铝合金钻杆的技术优势及其现存的不足之处,以此提高对铝合金钻杆的认识,促进铝合金钻杆的研究和发展。     

3500m岩心钻探装备在油气井勘查中的示范应用

3500 m岩心钻探装备（YDX—6型钻机）是我国自主研发的深部矿产资源勘查技术装备,采用N级口径钻深可达3500 m,其最大特点是采用长油缸钻进和起下钻。本文主要介绍了该钻机在油气井勘查中生产试验情况,同时对矿区地层、钻孔结构、钻进过程、钻进效果、遇到的主要问题及解决办法等进行了介绍。     

环境因素对毛乌素沙地旱柳树干液流的影响分析

在干旱-半干旱地区,研究植物的耗水特征及与气象因子、地下水水位的关系对水资源合理开发利用和生态环境保护具有重要的意义。采用原位监测方法,对气象、树干液流、土壤含水率和地下水水位进行了观测,研究了毛乌素沙地广泛分布及与地下水关系密切的旱柳与气象因子、土壤含水率以及地下水水位的关系。研究表明:水汽压亏缺和潜在蒸散发是控制旱柳耗水最重要的气象因素;研究期内,土壤含水率对旱柳耗水的影响较小;旱柳的耗水与地下水具有密切的关系,随着水位埋深的增大,旱柳的耗水先增大后减小,在水位埋深1.25 m处达到最大。利用地下水的昼夜波动计算了地下水的蒸散发消耗量,发现旱柳的用水与地下水的蒸散发消耗量具有一定的相关性,表明地下水是旱柳重要的用水水源。     

贵州松桃高地特大型富锰矿床主要地质特征

位于贵州铜仁松桃国家锰矿整装勘查区内的高地富锰矿床,(332)+(333)类碳酸锰富锰矿石资源量达7 166. 84万吨,锰平均品位25. 75%,矿体平均厚度4. 52 m,富锰矿体赋存于总资源量达1. 61亿吨的高地超大型锰矿床之中,由一个单一的富锰矿体构成,是我国新发现的首个特大型富锰矿床,富锰矿资源量相当于我国富锰矿资源量总和的2倍。成因类型属古天然气渗漏沉积型锰矿床,富锰矿产于古天然气渗漏沉积成矿系统中心相区。高地富锰矿床地处独特的"新月形"南华纪早期李家湾-高地-道坨(Ⅳ级)地堑盆地中心,菱锰矿体中均出现以块状构造夹被沥青充填的气泡状富菱锰矿石。地表燕山期北北东向的断裂构造十分发育,但主要为上陡下缓犁式正断层,未触及高地深部隐伏巨型锰矿体,以致富锰矿体保存亦十分完整,易于开发利用。     

大兴安岭伊勒呼里山早白垩世碱长花岗岩年龄、地球化学特征及其地质意义

对大兴安岭伊勒呼里山早白垩世碱长花岗岩进行了岩相学、地球化学、LA-ICP-MS锆石U-Pb定年研究。伊勒呼里山地区碱长花岗岩主量元素具有富Si、富碱,贫Mg、Ca的特征;微量元素亏损Sr、P、Eu、Ti,富集K、Rb、Th等不相容元素,元素地球化学特征表明,岩体为铝质A型花岗岩(A/CNK=0.88~1.21,A/NK=0.94~1.49)。测年结果显示,粗中粒碱长花岗岩的锆石年龄为140.3±1.0Ma,细中粒碱长花岗岩锆石年龄为137.9±0.8Ma,均形成于早白垩世。结合区域研究资料,伊勒呼里山地区碱长花岗岩岩体的形成与蒙古-鄂霍茨克洋闭合后的岩石圈伸展密切相关,其岩浆源区可能为地壳物质的部分熔融。     

Using landscape indicators and Analytic Hierarchy Process (AHP) to determine the optimum spatial scale of urban land use patterns in Wuhan,China

Quantifying land use patterns and functions is critical for modeling urban ecological processes, and an emerging challenge is to apply models at multiple spatial scales. Methods of determining the optimum scale of land use patterns are commonly considered using landscape metrics. Landscape metrics are quantitative indicators for analyzing landscape heterogeneity at the landscape level. In this study, due to their widespread use in urban landscape analyses and well-documented effectiveness in quantifying landscape patterns, landscape metrics that represent dominance, shape, fragmentation and connectivity were selected. Five metrics include Patch Density, Contagion, Landscape Shape Index, Aggregation Index and Connectivity. Despite a wide application of landscape metrics for land use studies, the majority mainly focuses on the qualitative analysis of the characteristics of landscape metrics. The previous models are limited in exploring the optimum scale of land use patterns for their lack of quantitation. Therefore, taking the City of Wuhan as an example, the land use unit was treated as a patch, and the landscape pattern metrics at different spatial scales were calculated and compared so as to find the optimum one. Furthermore, a mathematical model of landscape metrics was proposed to quantify the scale effect of urban land use patterns, generating a complementary tool to select the optimum scale. In addition, Analytic Hierarchy Process (AHP) was introduced to determine the respective weights of the chosen landscape metrics in this model. Fractal dimension was ultimately applied to verify the chosen optimum scale of our study region. The results indicated that 60 m is confirmed to be the optimum scale for capturing the spatial variability of land use patterns in this study area.