Diurnal SST warming in the Bay of Biscay: satellite measurements and model prediction

INTRODUCTIONIt has long been recognized that a diurnal thermal cycle occurs in the upper layer of the ocean(Stommel et al., 1969; Price and Weller, 1986). Interest in the subject has revived in recentyears due to the importance of resolving the diurnal cycle for correctly coupling the ocean and atmosphere (Lukas, 1991 ). While the study of the diurnal cycle is of intrinsic scientific interest, italso offers the benefit to remote sensing scientists of identifying the bias caused by the di…     

天然钛榴石的穆斯堡尔谱及晶体化学分析

本文收集了一组钛榴石样品,作了穆斯堡尔谱和化学分析。采用各对应双峰等值限制拟合。拟合结果,统计误差X~2均较小。文中还分析了钛榴石结构的阳离子占位情况,并对其五对双峰谱指派如下:Fe~(3+)在[Y]位和(Z)位,Fe~(2+)在{X}和[Y]位,而另一对双峰指派为Fe~(2+){X}→Fe~(3+)(Z)的电荷离域。从化学分析和穆斯堡尔谱数据求出二种方法Fe~(2+)/∑Fe的差值,说明钛榴石中有Ti~(3+)的存在,用此简便方法估算了Ti~(3+)的含量,得出了四面体中阳离子的占位择优为Fe~(3+)>(Al~(3+),Ti~(4+))的结论。     

空间直角坐标和大地坐标的转换

目前国内在空间直角坐标和大地坐标转换公式使用问题上 ,还明显缺乏必要的统一性。针对这个问题 ,本文作者在全面分析和比较国内外现有各种转换方法的基础上 ,重点推荐和介绍根据 Bowring研究思路导出的转换公式 ,这组公式既简单又具有很高的计算精度 ,能够满足各个部门的使用要求     

四川紫色土退化的分类与分区

四川紫色土耕地面积406.1万公顷,占全省耕地面积的36.5％,属全省农业生产的主体区域。四川紫色土普遍退化。退化分为物理性(含构造性)、化学性、营养性三类。用模糊综合评判方法,评价了四川(主要为盆地丘陵区)紫色土退化的程度和状况。同时又建立了退化紫色土的分区原则,将四川紫色土退化分布区域划分为6个退化亚区,10个退化小区。     

关于二轴晶矿物光性正负判别式的讨论

作者同意刘智星的论断:旧的二轴晶矿物光性正负判别式是错误的。本文也对刘智星的推论作了更为简明直观的解释,同时提出一个新的测定二轴晶矿物光性正负的判别式:Nm-N_(45)。应用此判别式检查了近470个二轴晶矿物的光性,发现某些文献中所记载或所引用的资料(折射率或光性符号)有错。     

A fast intensity-hue-saturation fusion technique with spectral adjustment for IKONOS imagery

Among various image fusion methods, intensity-hue-saturation (IHS) technique is capable of quickly merging the massive volumes of data. For IKONOS imagery, IHS can yield satisfactory "spatial" enhancement but may introduce "spectral" distortion, appearing as a change in colors between compositions of resampled and fused multispectral bands. To solve this problem, a fast IHS fusion technique with spectral adjustment is presented. The experimental results demonstrate that the proposed approach can provide better performance than the original IHS method, both in processing speed and image quality.     

Zircon U-Pb dating of intermediate-acid intrusive rocks in the middle section of Ningzhen district and their metallogenic implicationsEI北大核心CSCD

The Ningzhen metallogenic district is an important part of the Middle-Lower Yangtze River Valley metallogenic belt. LA-ICP-MS zircon U-Pb dating of the three intermediate-acid intrusions, i.e., Anjishan, Xinqiao, and Shima, in the central part of the Ningzhen district, indicates that those intrusions were emplaced in the Late Early Cretaceous, with ages of 107.0±1.1 Ma-108.0±1.6 Ma, 108.0±1.3 Ma, and 102.5±1.1 Ma, respectively. Combined with the molybdenite Re-Os isotope age (106-108 Ma) of porphyry copper deposit in this regions, the Ningzhen district exists an intensively magmatic-metallogenic-thermal event at 102.5-108.0 Ma. The age of this event is similar with the age of the third period of large scale mineralization in South China, however obviously later than the magmatic activity of other ore field (124-148 Ma) in the Middle-Lower Yangtze River Valley metallogenic belt. It is suggested that the tectonic-magmatic-thermal events in the Ningzhen area is formed under regional lithospheric extension environment, which is also consistent with the tectonic background of the third period of large scale mineralization in South China. The zircon U-Pb ages of the intrusions and the Re-Os ages of molybdenites from the porphyry deposits in the study area demonstrate that the Ningzhen district underwent intensive magmatism and hydrothermal mineralization during the period from 102.5 to 108.0 Ma, which is consistent with the third pulse of large scale mineralization in the South China. ©, 2015, Science Press. All right reserved.     

420芦山地震峡口滑坡监测数据分析

基于420芦山地震前后获取的峡口滑坡监测数据,对地震发生时峡口滑坡地下水位、深部位移及地表位移变化情况进行了分析,结果表明：（1）芦山地震前,峡口滑坡地下水位出现持续异常上升,涨幅在1m以上, 4月20日即芦山地震发生当日,地下水位达到峰值,震后,地下水位开始迅速下降,降幅在1.5m左右; （2）芦山地震发生当天,受芦山地震的影响,滑坡深部发生了一次大于1mm的位移,其后恢复基本稳定的状态。利用R/S分析方法对峡口滑坡稳定性进行分析,受芦山地震影响, 4月份峡口滑坡的Hurst指数明显有所下降,说明滑坡的稳定性有所降低。但总体上滑坡的Hurst指数均大于0.5,说明滑坡一直处于稳定状态。     

PMODTRAN: a parallel implementation based on MODTRAN for massive remote sensing data processing

MODerate resolution atmospheric TRANsmission (MODTRAN) is a commercial remote sensing (RS) software package that has been widely used to simulate radiative transfer of electromagnetic radiation through the Earth's atmosphere and the radiation observed by a remote sensor. However, when very large RS datasets must be processed in simulation applications at a global scale, it is extremely time-consuming to operate MODTRAN on a modern workstation. Under this circumstance, the use of parallel cluster computing to speed up the process becomes vital to this time-consuming task. This paper presents PMODTRAN, an implementation of a parallel task-scheduling algorithm based on MODTRAN. PMODTRAN was able to reduce the processing time of the test cases used here from over 4.4 months on a workstation to less than a week on a local computer cluster. In addition, PMODTRAN can distribute tasks with different levels of granularity and has some extra features, such as dynamic load balancing and parameter checking.     

Effective typhoon characteristics and their effects on hourly reservoir inflow forecasting

This paper describes the identification of effective typhoon characteristics and the development of a new type of hourly reservoir inflow forecasting model with the effective typhoon characteristics. Firstly, a comparison of support vector machines (SVMs), which is a novel kind of neural networks (NNs), and back-propagation networks (BPNs) is made to select an appropriate NN-based model. The results show that SVM-based models are more appropriate than BPN-based models because of their higher accuracy and much higher efficiency. In addition, effective typhoon characteristics for improving forecasting performance are identified from all the collected typhoon information. Then the effective typhoon characteristics (the position of the typhoon and the distance between the typhoon center and the reservoir) are added to the proposed SVM-based models. Next, a performance comparison of models with and without effective typhoon characteristics is conducted to clearly highlight the effects of effective typhoon characteristics on hourly reservoir inflow forecasting. To reach a just conclusion, the performance is evaluated by cross validation, and the improvement in performance due to the addition of effective typhoon characteristics is tested by paired comparison t-tests at the 5% significance level. The results confirm that effective typhoon characteristics do improve the forecasting performance and the improvement increases with increasing lead-time, especially when the rainfall data are not available. For four- to six-hour ahead forecasts, the improvement due to the addition of effective typhoon characteristics increases from 3% to 18% and from 10% to 113% for Categories I (rainfall data are available) and II (rainfall data are not available), respectively. In conclusion, effective typhoon characteristics are recommended as key inputs for reservoir inflow forecasting during typhoons. The proposed SVM-based models with effective typhoon characteristics are expected to provide more accurate forecasts than BPN-based models. The proposed modeling technique is also expected to be useful to support reservoir operation systems and other disaster warning systems.