西藏改则县多龙矿集区发现岩墙岭蛇绿岩残片

西藏班公湖-怒江缝合带北缘多龙矿集区是青藏高原新近发现的具有超大型远景的、典型的富金斑岩型铜矿集区,其成岩成矿地质背景是解决班公湖-怒江洋构造演化的关键问题之一。近年来的区域地质调查研究发现,多龙矿集区南侧出露岩墙岭蛇绿岩残片,应该是班公湖-怒江蛇绿岩带的重要组成部分。岩墙岭蛇绿岩主要由席状岩墙群、枕状玄武岩和硅质岩组成,整体呈棱形或透镜体状断续分布于侏罗系复理石沉积内,构成典型的网结状构造。糜棱岩普遍发育在岩墙岭蛇绿岩和围岩的接触部位。综合前人研究成果,初步认为多龙矿集区早白垩世成岩成矿作用应该形成于增生楔之上伸展拉张的构造环境。岩墙岭蛇绿岩的发现和确定进一步约束了多龙矿集区成岩成矿地质背景,同时为班公湖-怒江缝合带的延伸及其构造演化的研究提供了新的线索。     

渤海湾西岸QX02孔Ⅱ海的识别及OSL年龄

以渤海湾沿海低地的QX02孔为研究对象,进行了沉积岩石学分析和底栖有孔虫统计,结合加速器质谱~(14)C测年和光释光(optically stimulated luminescence,OSL)测年,探讨了该孔记录的第Ⅱ海相层埋深和形成时代。第Ⅱ海相层厚度11.4m,记录相对海面高度-26.83~-15.43m。AMS~(14)C年龄表明,Ⅱ海形成于MIS 3早期、甚至更早。OSL年代学研究显示,Ⅱ海样品等效剂量离散度较高,并且主要集中在2个区间,计算得到新、老2个年龄阶段。基于OSL测年原理的常规判断,认为较老的83.5~62.6ka阶段系受曝光不充分组分的影响,通常采用较年轻的51.9~39.9ka阶段为QX02孔的Ⅱ海沉积年龄。但是,较老的一组年龄从新的视角,暗示了可能的原始沉积过程及相应的海侵发生时间,因而具有重要的年代学和沉积学意义。     

阿尔金北缘岩石变形机制——来自X光组构分析的证据

对阿尔金北缘地区变形蚀变花岗岩、花岗质糜棱岩、变形酸性火山岩和变形英安质凝灰岩中石英和绢云母2种矿物进行X光岩石组构分析,认为本区岩石变形比较明显,宏观面理近于东西向展布,绢云母变形较强,平行于面理定向排列;而石英以底面或近底面滑移为主,部分样品兼有柱面Ⅰ型滑移和柱面Ⅱ型滑移,反映本区岩石变形机制为中浅层次的脆-韧性变形(10~15km、250~350℃、0.25~0.40GPa)。通过岩石组构特征与宏观面理产状,推断本区韧性变形以右行运动为主,与板块碰撞在阿尔金北缘大平沟地区产生的韧性变形带特征一致。     

区域地球化学特征及其主控因素——对内蒙古珠斯楞地区找矿的意义

在1∶5万水系沉积物测量的基础上,对内蒙古额济纳旗珠斯愣地区的地球化学特征及其主控因素进行初步分析,并对元素分布特征、元素相关性分析、单元素异常与构造之间关系、综合异常与构造之间关系进行了探讨。研究发现,Cu、Au、Sb为区内具一定潜力的找矿元素,与呼伦西白-珠斯楞海尔罕反"S"形构造带南端内、外旋面的转换的珠斯楞海尔罕一带形成一个与断裂构造吻合度较高的、半环性的成矿成晕中心。因而推断,区内具有形成与中酸性侵入岩有关的热液铜多金属矿的可能,其中珠斯楞海尔罕铜金矿和道布青乌苏南北金锑矿2个找矿靶区严格受呼伦西白-珠斯楞海尔罕反"S"形构造的控制。     

Monitoring and analysis of changes in a wetland landscape in Xingzi county

Wetlands play an important role in water conservation, environmental protection, and biodiversity conservation. Remote sensing is an economical and efficient technique for wetland monitoring which can limit disturbance in sensitive areas and support wetland conservation. In this paper, we used three phases of Thematic Mapper/Enhanced Thematic Mapper plus (TM/ETM+) remote sensing images from October 1989, October 1999, and October 2009 to study wetlands in Xingzi County. The images were segmented using the object-oriented remote sensing image interpretation software eCognition Developer 8.64, then segmented images were classified by slope, digital elevation model (DEM) data, Normalized Difference Vegetation Index (NDVI), Specific Leaf Area Vegetation Index (SLAVI), and Land and Water Masks (LWM) index to produce land type classification maps. Land use change information was obtained by analyzing the superposition of two classification maps of the wetland area from different years. The results showed that landscape patches in Xingzi County displayed fragmentation in their spatial distribution over time. Based on an index of changes in landscape patches, the fastest growing landscape type is grassland, while the fastest decreasing type is irrigated land. Dominant driving factors of changes in Xingzi County’s wetland landscape are population growth and policy changes.     

Landslide susceptibility zonation using GIS and evidential belief function model

The main goal of this paper is to generate a landslide susceptibility map through evidential belief function (EBF) model by using Geographic Information System (GIS) for Qianyang County, Shaanxi Province, China. At first, a detailed landslide inventory map was prepared, and the following ten landslide-conditioning factors were collected: slope angle, slope aspect, curvature, plan curvature, profile curvature, altitude, distance to rivers, geomorphology, lithology, and rainfall. The landslides were detected from the interpretation of aerial photographs and supported by field surveys. A total of 81 landslides were randomly split into the following two parts: the training dataset 70 % (56 landslides) were used for establishing the model and the remaining 30 % (25 landslides) were used for the model validation. The ArcGIS was used to analyze landslide-conditioning factors and evaluate landslide susceptibility; as a result, a landslide susceptibility map was generated by using EBF and ArcGIS 10.0, thus divided into the following five susceptibility classes: very low, low, moderate, high, and very high. Finally, when we validated the accuracy of the landslide susceptibility map, both the success-rate and prediction-rate curve methods were applied. The results reveal that a final susceptibility map has the success rate of 83.31 % and the prediction rate of 79.41 %.     

S-101与S-57分类编码对比分析(二):属性

地理要素的分类编码是人类认知地理信息世界的成果,也是人类对地理信息世界再认知的入口和关键。在海洋地理信息领域,S-101数据标准即将替代现行S-57 ENC标准,分类编码方案也将会相应改变。先对S-57到S-101的属性变化内容进行整体描述,再从地理要素属性、元要素属性、图示表达属性三方面内容,对新旧两套分类编码中的属性内容进行对比分析,为涉海人员消化吸收新标准提供一定的参考。     

基于窗口移动中误差模型探测船载重力数据粗差

粗差探测是评价船载重力测量数据成果质量的重要内容。卫星测高反演重力场技术提供了海域全覆盖的重力场数值模型,其精度水平已满足探测船载重力测量数据粗差的精度要求。以卫星测高反演重力场模型为基础,提出了基于窗口移动中误差模型探测船载重力测量粗差的数据处理方法,其基本思路是:以卫星测高反演重力场数值模型作为背景场,计算船载重力测点处的测高重力值的差值,以差值作为输入量,等权构建中误差背景场,以开窗中误差背景场作为参考,按照平差思想探测船载重力测量数据的粗差。实验结果表明,依据本文方法能有效探测船载重力测量数据的粗差。