冲绳海槽中部沉积物物质来源和沉积环境分析

本文基于AMS14C高精度测年,通过对柱状沉积物HOBAB2-S2的粒度、微量元素和稀土元素的分析,对冲绳海槽中部区5 300 a以来的物质来源和沉积环境进行了研究。通过对该孔的稀土元素与微量元素的研究发现研究区沉积物质具有陆源属性,并且通过不同物源区沉积物的稀土元素散点图表明5 300 a以来沉积物主要来自于台湾。文中将粒度特征作为研究区域沉积环境,尤其是水动力（黑潮）强弱的指示参数,根据粒度变化曲线,可将沉积过程分为4个阶段:第一阶段（5.30~3.81 ka BP）,粒径由粗变细,黑潮强度逐渐减小;第二阶段（3.81~2.70 ka BP）,粒径波动较大,无明显增大或减小趋势,表明沉积环境处于相对波动状态,水动力强弱不稳定;第三阶段（2.70~0.97 ka BP）,粒径变化较小,表明沉积环境处于相对稳定状态,研究区的水动力条件较稳定;第四阶段（从0.97 ka BP至今）,粒径逐渐变粗,水动力条件增强。     

西南印度洋中脊表层沉积物非碳酸盐组分的粒度特征及其地质意义

The carbonate-free fraction of 20 surface sediments collected from the ultraslow-spreading Southwest Indian Ridge(SWIR) was studied by grain size analysis and mineralogical analysis with X-ray powder diffraction(XRD),stereo microscopy and scanning electron microscopy(SEM). The characteristics of the carbonate-free fraction of the sediments were obtained, and related influential factors were discussed. The results show that the mean grain size of this fraction is in 1.96Φ–8.19Φ, with poorly sorting and unimodal, bimodal or irregular bimodal distribution patterns. Four grain size end members of the fraction are derived with the End Member Model method. The finest end member EM1 shows a significant contribution of terrigenous materials of the aeolian input and sediment carried by the bottom current. End member EM2 with medium size mainly reflects sediment of a siliceous bioclast origin. EM3 and EM4 are interpreted as representing the coarser volcanic materials related to bedrock weathering or volcanic activities. Multi-provenance is the dominant factor controlling the grain size pattern of the carbonate-free fraction of the sediments in that area. In addition, sediment transport processes such as the bottom current and wind are the minor factors that influence the grain size distribution of the carbonate-free fraction sediments.     

城市建设用地与地质环境协调性评价的GIS方法及其应用

城市地质环境评价是城市规划和场地选址的基础 .以兰州市为例 ,以地理信息系统软件ARC/INFO为开发平台 ,建立了城市地质环境基础数据库 ,将城市用地类型分为高层建筑用地、多层建筑用地、低层建筑用地、垃圾填埋用地及自然保护用地 ,系统分析了各类用地与地质环境协调性评价的指标体系 ,采用层次分析法建立了评价模型 ,对不同的用地类型进行了评价 .结果表明GIS与评价模型的结合可以快捷、准确地进行城市建设用地与地质环境的协调性评价     

Correlation analysis and partial least square modeling to quantify typical minerals with Chang＇E-3 visible and near-infrared imaging spectrometer＇s ground validation data

In 2013, Chang＇E-3 program will develop lunar mineral resources in-situ detection. A Visible and Near-infrared Imaging Spectrometer （VNIS） has been selected as one payload of CE-3 lunar rover to achieve this goal. It is critical and urgent to evaluate VNIS＇ spectrum data quality and validate quantification methods for mineral composition before its launch. Ground validation experiment of VNIS was carried out to complete the two goals, by simulating CE-3 lunar rover＇s detection environment on lunar surface in the laboratory. Based on the hyperspectral reflectance data derived, Correlation Analysis and Partial Least Square （CA-PLS） algorithm is applied to predict abundance of four lunar typical minerals （pyroxene, plagioclase, ilmenite and olivine） in their mixture. We firstly selected a set of VNIS＇ spectral parameters which highly correlated with minerals＇ abundance by correlation analysis （CA）, and then stepwise regression method was used to find out spectral parameters which make the largest contri- butions to the mineral contents. At last, functions were derived to link minerals＇ abundance and spectral parameters by partial least square （PLS） algorithm. Not considering the effect of maturity, agglutinate and Fe~, we found that there are wonderful correlations between these four minerals and VNIS＇ spectral parameters, e.g. the abundance of pyroxene correlates positively with the mixture＇s absorption depth, the value of absorption depth added as the in- creasing of pyroxene＇s abundance. But the abundance of plagioclase correlates negatively with the spectral parame- ters of band ratio, the value of band ratio would decrease when the abundance of plagioclase increased. Similar to plagioclase, the abundance of ilmenite and olivine has a negative correlation with the mixture＇s reflectance data, if the abundance of ilmenite or olivine increase, the reflectance values of the mixture will decrease. Through model validation, better estimates of pyroxene, plagioclase and ilmenite＇s abundances are given. It is concluded that VNIS has the capability to be applied on lunar minerals＇ identification, and CA-PLS algorithm has the potential to be used on lunar surface＇s in-situ detection for minerals＇ abundance prediction.     

用应变积累释放模型研究中国大陆地块分区地震活动

依据活动地块假说及活动边界的划分,对中国大陆地震活动进行分区．在此基础上,应用应变积累释放模型,通过地震应变积累释放的计算,研究了中国大陆各活动地块分区的地震活动性,初步探讨了各地块的地震活动阶段划分．此外,还对应变积累释放模型的应用前提条件进行了必要的讨论,并对模型结果中可能出现的问题给予一定分析．     

青藏高原晚始新世干旱化事件：改则盆地康托组碳酸盐岩碳氧同位素的记录

改则盆地位于青藏高原腹地,盆地内沉积物记录了高原古环境变化的重要信息。本文对改则盆地康托组碳酸盐岩碳氧同位素进行研究,结果显示改则盆地中-晚始新世的演化分为两个阶段:1中始新世湿润气候下开放湖盆阶段:虽然碳酸盐岩δ~(18)O值在43层处向正值偏移,但整体~(18)O和~(13)C强烈亏损,并且该时期碳酸盐岩δ~(18)O值和δ~(13)C变化相关系数为R~2=0.082。表明该阶段的研究区虽然经历过短期蒸发作用增强或补给水减少,但整体是气候湿润条件下补给水丰富的开放型湖盆。2晚始新世干旱气候下封闭湖盆阶段:经过中新世晚期(63层)气候和湖泊水文状态的过渡,晚始新世~(18)O和~(13)C同位素富集,δ~(18)O值和δ~(13)C值变化相关系数为R~2=0.7762。表明该阶段气候干旱,蒸发作用强烈,湖盆萎缩成为封闭湖盆。综合前人研究,认为青藏高原腹地及北缘、东北缘在晚始新世存在明显的区域性干旱化事件。对比分析青藏高原隆升、全球气候记录、全球海水Sr和大气CO_2记录,认为青藏高原腹地和北部的干旱化事件主要受青藏高原隆升的影响。     

雷达定量测量降水在佛子岭流域径流模拟中的应用

以位于合肥雷达西南100 km的佛子岭闭合流域 (1813 km2) 及该流域的6个子流域为研究区域, 用地面雨量计和雷达-雨量计联合校准两种方法进行流域面雨量计算, 将两种方法计算的面雨量分别作为TOPMODEL (TOPography based hydrological MODEL) 降水-径流模型的输入, 对模型输出结果进行比较。个例分析表明:雷达-雨量计联合测量降水的精度是否高于单独用地面雨量计计算的精度, 在一定程度上取决于用于校准的地面雨量计数目和代表性; 即使雨量计计算的整个流域面雨量与雷达-雨量计联合校准后的结果接近, 对应子流域面雨量的结果仍然会存在差别; 不同方法计算的某一子流域面雨量的差别越大, 则TOPMODEL水文模型输出的该子流域径流深的差别也越大。     

利用中期地震活动异常综合预测地震危险区

在分析了首都圈地区（３８．５°～４１°Ｎ，１１３°～１２０°Ｅ）中强以上地震前地震活动特征的基础上，总结出了本区中强以上地震前地震活动的普遍性特征，应用孕震模型对地震活动异常进行综合分析，给出了应用地震活动异常进行地震预报的物理基础。文中还提出了应用中期地震活动异常进行预报的综合判别指标，当其达到给定阈值时，再考虑地质构造、中强以上地震发生的自然概率、大震后的减震作用、中期地震活动异常的分布及其预报效能等因素，给出二维的综合概率分布图，把概率值较高的地区作为未来一、二年中强以上地震的危险区。此外还进行了震级、时间预测方面的研究。     

Remote estimation of terrestrial evapotranspiration by Landsat 5 TM and the SEBAL model in cold and high‐altitude regions: a case study of the upper reach of the Shule River Basin,China

Evapotranspiration (ET) is an important expenditure in water and energy balances, especially on cold and high‐altitude land surfaces. Daily ET of the upper reach of the Shule River Basin was estimated using Landsat 5 TM data and the Surface Energy Balance Algorithm for Land (SEBAL) model. Based on observations made at the Suli station, the algorithms of land surface temperature and soil heat flux in SEBAL were modified. Land surface temperature was retrieved and compared with ground truth via three methods: the radiative transfer equation method, the mono‐window algorithm, and the single‐channel method. We selected the best of these methods, mono‐window algorithm, for estimating ET. The average error of daily ET estimated by the modified SEBAL model and measured by the eddy covariance system was 16.4%, with a root‐mean‐square error of 0.52 mm d^?1. The estimated ET means were 3.09, 2.48, and 1.48 mm d^?1 on June 9 (DOY 160), June 25 (DOY 176), and July 27 (DOY 208) of the year 2010, respectively. The average estimated ET on the glacier surface of all days was more than 3 mm d^?1, a measurement that is difficult to capture in‐situ and has rarely been reported. This study will improve the understanding of water balance in cold, high‐altitude regions. Copyright © 2016 John Wiley & Sons, Ltd.     

Effects of temporal scales and space mismatches on the TRMM 3B42 v7 precipitation product in a remote mountainous area

The accurate measurement of precipitation is essential to understanding regional hydrological processes and hydrological cycling. Quantification of precipitation over remote regions such as the Tibetan Plateau is highly unreliable because of the scarcity of rain gauges. The objective of this study is to evaluate the performance of the satellite precipitation product of tropical rainfall measuring mission (TRMM) 3B42 v7 at daily, weekly, monthly, and seasonal scales. Comparison between TRMM grid precipitation and point‐based rain gauge precipitation was conducted using nearest neighbour and bilinear weighted interpolation methods. The results showed that the TRMM product could not capture daily precipitation well due to some rainfall events being missed at short time scales but provided reasonably good precipitation data at weekly, monthly, and seasonal scales. TRMM tended to underestimate the precipitation of small rainfall events (less than 1 mm/day), while it overestimated the precipitation of large rainfall events (greater than 20 mm/day). Consequently, TRMM showed better performance in the summer monsoon season than in the winter season. Through comparison, it was also found that the bilinear weighted interpolation method performs better than the nearest neighbour method in TRMM precipitation extraction.