元古宙真核藻类演化及环境控制因素

宜居地球、地外生命探索以及资源勘查等的需求使真核生物的早期溯源和演化趋势研究成为国际热点。根据已发现实体化石、分子化石和分子钟证据,将元古宙真核藻类演化划分为环境准备(2.45～1.70 Ga)、缓慢发展(1.70～0.80 Ga)、剧烈波动(0.80～0.64 Ga)、快速辐射(0.64～0.54 Ga)四个阶段。元古宙真核生物的出现、演化和辐射进程与地球氧化和极端气候事件(如冰期)的发生具耦合性,表现出早期生命与地球表层环境的协同演化。真核藻类在1.70～0.80 Ga期间的缓慢演化可能与长期较低的大气氧含量(约为现今水平的1%～10%PAL)有关。低的大气-海洋氧化程度不仅限制了真核藻类生存空间,也通过对氮、磷等营养元素的供应约束,限制了真核藻类初级生产力水平。因此,地球表层氧化可能是地球宜居演化,并孕育出真核生物等各种复杂生命的主要原因。从地球系统形成与演变的角度探索生物圈演化或能对生命的过去和未来给出更为可靠的答案。     

西秦岭太阳山斑岩铜-钼矿床岩体氧逸度及成矿意义

甘肃天水三叠纪太阳山斑岩铜钼矿床位于西秦岭造山带东段。矿体主要赋存于石英闪长斑岩、二长斑岩、石英二长斑岩和泥盆系大草滩群。氧逸度是表征岩石物理化学性质的重要参数,对岩浆热液成矿具有明显的控制作用。在综合评述常用氧逸度计算方法及适用性的前提下,文中应用激光剥蚀等离子质谱分析方法对太阳山矿床含矿岩体锆石微量元素进行测定,选用含量较高的Sm、Nd进行Ce异常计算,查明含矿斑岩岩浆氧逸度,探讨其成矿意义。太阳山矿床岩浆氧逸度计算结果表明,太阳山成矿二长斑岩和石英二长斑岩相对氧逸度ΔFMQ分别为+3.04和+3.15,成矿前石英闪长斑岩相对氧逸度ΔFMQ为-1.83,成矿岩体氧逸度明显高于成矿前岩体。成矿岩体岩浆氧逸度高于成矿前岩体的原因可能与富集地幔有关。富集岩石圈地幔的加入,带来了大量的硫和金属铜,并提高了岩浆氧逸度。     

Monitoring fog using FY-1D meteorological satellite

FY-1D is the second national operation meteorological satellite of China, and is much better compared to monitoring fog. However, research on monitoring fog using FY-1D is very few. In this paper, based on the typical FY-1D data, a fog’s spectral characteristics in the different channels are analyzed using the histogram analysis method, and a method of monitoring fog using FY-1D is suggested. The results indicate that the 1st and 4th channels are the representative channels of FY-1D for the identification of fog. In the 1st channel, the fog is with uniform veins, smooth top, and clear-cut boundary, and its albedo is 20%～48%. In the 4th channel, the fog’s brightness and temperature is 272～289K, and the difference value between the fog’s and the ground surface’s is not more than 6K.     

基于斯通利波及电成像测井数据对火成岩裂缝地层的特征分析

随着石油勘探类型的转变和发展,如何高效且准确地识别地层中的裂缝变得十分重要。本文构建了斯通利波在裂缝地层中传播的理论模型,得到了斯通利波在经过裂缝带时会形成反射斯通利波,以及地层中裂缝的条数越多、斯通利波反射系数越大的理论结果。在此基础上,对辽河盆地火成岩地层的声波测井数据进行了斯通利波波场分离（中值滤波）,得到反射斯通利波,并计算了裂缝地层的反射系数。同时对该地层的电成像测井数据进行了孔隙度分布谱和区间孔隙度分析。研究表明：在裂缝发育的地层,反射斯通利波能量增强,反射系数变大;裂缝发育地层电成像孔隙度分布谱明显变宽,电成像区间孔隙度中大孔隙占比增大,显示次生孔隙（裂缝）发育。     

Auto-identification of forest fire-points in NOAA images based on neural network

Identification of forest fire-points in NOAA images in the basis of monitoring forest fire using NOAA satellite data. Traditional visual interpretation is difficult to settle for auto identification with computer. The artificial neural network technique provides a new means for solving this problem. In this paper, the principles and method of using neural network technique to automatically identify fire-points in NOAA images are discussed and the test in the range of Hubei province is presented. The result of the test shows that the disciplined neural network has collected the character of fire-points and has ability to identify fire-points in NOAA images. Comparing neural network with visual interpretation, the conclusion is drawn that by using neural network the purpose of auto-identification of forest fire-points in NOAA images can be realized with the almost same precision.     

基于出租车GPS数据的城市居民出行时空分布研究

随着城市的快速发展,道路拥堵、打车难等问题越来越突出,严重影响了居民的出行效率和生活质量。出租车GPS数据,在一定程度上包含了部分居民出行行为的丰富信息。考虑到出租车载客事件发生于一维道路网络空间,本文提出对出租车上下客事件所在路段进行分析,得到不同时段居民出行的热门路段和区域,分析居民出行时空分布特征,有助于了解交通现状和居民出行需求,提高城市对居民出行活动的服务水平。     

Estimation of hourly and daily evapotranspiration and soil moisture using downscaled LST over various urban surfaces

Surface moisture is important to link land surface temperature (LST) to people’s thermal comfort. In urban areas, the surface roughness from buildings and urban trees impacts wind speed, and consequently surface moisture. To find the role of surface roughness in surface moisture estimation, we developed methods to estimate daily and hourly evapotranspiration (ET) and soil moisture, based on a case study of Indianapolis, Indiana, USA. In order to capture the spatial and temporal variations of LST, hourly and daily LST was produced by downscaling techniques. Given the heterogeneity in urban areas, fractions of vegetation, soil, and impervious surfaces were calculated. To describe the urban morphology, surface roughness parameters were calculated from digital elevation model (DEM), digital surface model (DSM), and Terrestrial Light Detection and Ranging (LiDAR). Two source energy balance (TSEB) model was employed to generate ET, and the temperature vegetation index (TVX) method was used to calculate soil moisture. Stable hourly soil moisture fluctuated from 15% to 20%, and daily soil moisture increased due to precipitation and decreased due to seasonal temperature change. ET over soil, vegetation, and impervious surface in the urban areas yielded different patterns in response to precipitation. The surface roughness from high-rise has bigger influence on ET in central urban areas.     

一种依据旱涝灾情资料确定分区暴雨洪涝临界雨量的方法

针对暴雨洪涝风险预警、区划、评估业务的需求,提出了一种面向任务的移动灾情快速采集直报方法。在设计暴雨洪涝灾情实时采集流程和确定灾情记录内容的基础上,解决采集过程中的任务接收、现场定位、一体化采集、即时传输等关键技术,研发了基于智能手机的暴雨洪涝灾情采集手机APP。通过汛期实际暴雨过程的相关业务试验表明,暴雨洪涝灾情采集方法及手机APP可以在第一时间内获取灾害现场信息,为灾情验证评估提供实时资料,满足业务化应用的需求。

     

Short-term variations and influencing factors of suspended sediment concentrations at the Heisha Beach,Guangdong, China

Knowledge of sediment variation processes is essential to understand the evolution mechanism of beach morphology changes. Thus, a field measurement was conducted at the Heisha Beach, located on the west coast of the Zhujiang River(Pearl River) Estuary, to investigate the short-term variation in suspended sediment concentrations(SSCs) and the relationship between the SSC and turbulent kinetic energy, bottom shear stress(BSS), and relative wave height. Based on extreme event analysis results, extr...     

内生碳酸岩型稀土矿床中磷酸盐作用研究综述

碳酸岩型稀土矿床是全球稀土最主要的来源。磷酸盐是该成矿体系中常见的组分,但对其在碳酸岩稀土成矿过程中的具体作用仍缺少系统的认识。本文综述了磷酸盐在碳酸岩岩浆形成、演化和稀土富集成矿过程中作用,并提出现存问题和研究展望。磷在碳酸盐熔体中具有很高的溶解度。磷的存在有利于稀土在地幔极低程度部分熔融过程和碳酸盐—硅酸盐液态不混溶过程中优先进入碳酸盐熔体,形成初始碳酸岩熔体中稀土的预富集。碳酸岩岩浆演化过程中,稀土将优先进入到不混溶的磷酸盐熔体或独居石和磷灰石等磷酸盐矿物中,这些熔体和矿物的行为很可能是控制体系中稀土行为和成矿潜力的关键因素。岩浆作用过程中形成的富稀土磷酸盐矿物还可为热液阶段稀土矿化提供成矿物质来源。磷酸盐还是热液过程中稀土的有效沉淀剂,有利于轻重稀土矿物在流体晚期阶段成矿。未来工作应更多关注磷酸盐在碳酸岩岩浆演化过程中的作用及其中重稀土的富集机理研究,针对具体成岩成矿过程开展实验岩石学和熔体包裹体研究。