空间光滑地震活动性模型中光滑函数的比较研究

使用Frankel提出的基于空间光滑地震活动性模型的地震危险性分析方法,选择华南、华北、川滇3个地区的地震记录,比较分析了高斯、幂律和地震分形分布光滑函数3种光滑函数在不同地区的适用性．结果表明,使用交叉验证法可以为高斯光滑函数选取合适的相关距离c值,光滑得到的地震活动性模型能够真实反映研究区域的地震活动特征,根据活动性模型计算得出的峰值加速度(PGA)分布也符合人们对研究区域地震危险性的认识．幂律光滑函数适用于地震活动性较强的地区,且具有容易求取光滑参数的优点．光滑程度较低的幂律光滑函数不适用于地震活动性弱的地区,在该类地区应选择光滑程度较高的高斯光滑函数．地震分形分布光滑函数不适用于地震活动较强且地震活动强度差异较大的地区,其容易过分高估高震级地震对地震危险性的影响,而忽略了低震级地震对地震危险性的贡献．但对于地震活动较弱且地震活动强度差异较小的地区,可使用地震分形分布光滑函数,且同样具有容易求取光滑参数的优点．      

基于窗口速度平滑伪距的遥感平台定位算法

对浮空器遥感平台进行精密的控制定位是其完成对地观测、中继通信以及环境遥感等任务的关键。在自主地面测控系统对浮空器平台跟踪定位的基础上,给出加窗径向速度平滑伪距的多站跟踪定位方法。仿真结果表明:在GDOP值超过6的情况下,利用加窗速度平滑伪距方法仍能改善遥感平台定位的精度,而且能够有效地削弱测距链路中粗差的影响,从而自主地根据近地空间环境对浮空器进行控制。     

Optical Dating Equivalent Dose (De) Comparison of Global Standardised Growth Curve (gSGC) and Single-aliquot Regenerative-dose (SAR) Methods for Quartz Grains

Optical dating is a method of measuring the time since the sample was buried from last thermal event or light exposure. Samples such as quartz and feldspar grains are the most commonly used sediment of measurement. Single-Aliquot Regenerative-dose (SAR) method has become the most acceptable procedure for obtaining the equivalent Dose (D_e) of a sample. The Standardised Growth Curve (SGC) method provides a possible procedure for measuring a large number of samples; the limitation is that the growth curve fitted by different samples or even different aliquots is divergent. The global Standardised Growth Curve (gSGC) method improves the shortage by normalizing the dose response curves using one regenerative dose OSL signal. The gSGC provides a possible method for obtaining the D_e value of the sample efficiently and quickly. However, due to the radiation dose rate, operating procedures and instrument error and the selected regenerative-dose normalized dose value, etc., each laboratory should develop their own gSGC which has unique parameters. This study established the gSGC curve and measurement process of our laboratory, and then compared the consistency of the equivalent Dose (D_e) values from gSGC and SAR methods. In gSGC procedure, the D_e value of an aliquot can be estimated from the nature signal, one regenerative dose signal and their corresponding test dose signal. It will speed up the optical dating measurement rate of our laboratory and provide reference to establish gSGC in other laboratories. It is found that in the low dose range (0~100 Gy) the obtained D_e values were well consistent by gSGC and SAR methods. There were obviously differences in the higher dose range (>100 Gy) compared to the SAR results. It may be due to the insufficient number of older samples used to fit gSGC in this study. It is necessary to gradually accumulate more samples to improve the gSGC parameters in the future work. For some aliquots, individual quartz grains do not follow the global standardised growth curve, which leads to some deviations of D_e from gSGC. However, these two methods could obtain the similar average De value when multiple aliquots measuring.     

空间光滑活动模型在东部海域地震危险性评价中的应用

以中国东部近海海域(25～41°N,117～126°E)为研究区域,基于区域地震构造背景和地震活跃水平等资料划分地震构造单元,依次采用基于地震目录的圆形高斯光滑模型和断层导向性的椭圆光滑模型的地震活动参数评价方法,计算各网格点的地震发生率.并利用网格源的地震危险性概率评价方法,由不同输入地震目录得到该区域50年超越概率10％的加速度峰值区划结果.     

100 global bright spots of green growth: Co-occurrence of nighttime light gain and forest gain, 1990–2015

Economic growth commonly occurs at the expense of environmental quality, but there are exceptions. Here we use satellite data to identify places where exceptional economic growth and exceptional environmental improvement co-occurred between 1990 and 2015. We term as “bright spots of green growth” those spatial clusters with the most cells above the 95th percentile within their world region in both economic growth (as proxied by increase in nighttime lights) and one aspect of environmental improvement (forest area). Because the locations of bright spots are sensitive to methodological choices, we applied two different approaches to identifying bright spots. The two approaches differed in their choice of nighttime lights data (DSMP-OLS in Approach A vs. DSMP-VIIRS composite in Approach B); choice of forest area data (forest cover vs. forest land-use); time period (2000–2010 vs. 1990–2015); and clustering technique (visual inspection vs. HDBSCAN algorithm). We identified the top five bright spots in each of ten world regions using each of two approaches, for a total of 100 global bright spots of green growth. We then tested the extent to which the attributes of bright spots were consistent with four non-mutually exclusive theories of green growth. Of the bright spots we identified, around two-thirds (65% using Approach A; 71% using Approach B) had significantly higher-than-regional-average growth in the share of labor employed in services, consistent with sectoral shift and “tertiarization.” Fewer than half (38%; 46%) had significantly higher growth in income, consistent with the “Environmental Kuznets Curve” theory. Some (54%; 29%) had significantly higher growth in timber plantation area, consistent with “eco-industry”-driven rural development. Few (0%; 10%) had significantly higher growth in protected area coverage, consistent with public policy-induced forest conservation. Our findings suggest sectoral shift toward services, rather than rising income per se, may be a promising pathway for other regions seeking to combine economic growth and environmental improvement.     

Image smoothing of multispectral imagery based on the HNN and geo-statistics

A new method for image down-scaling using geostatistical interpolation or smoothing based on the Hopfi eld Neural Network (HNN) and zero semivariance value is introduced. The method utilises the smoothing effect of the semivariogram matching process to produce the smoothened sub-pixel multispectral (MS) image with smaller RMSEs in comparison with the bilinear interpolation. In fact, the zero semivariograms increase the spatial correlation between the adjacent sub-pixels of the superresolution image. Containing higher spatial correlation, the resulting super-resolution MS image has smaller RMSEs compared with the original coarse image.     

鄂尔多斯盆地旦八油田延长组长3储层研究

三叠系延长组长3储集层灰色细粒长石砂岩储层物性差,属低孔、低渗储层.空隙以粒间孔、溶孔为主,且成岩作用控制孔隙结构.根据岩性、物性特征,把研究区储层分为四类:Ⅰ类好储集层,Ⅱ类较好储集层,Ⅲ类较差储集层,Ⅳ类非储层.     

基于指数平滑法与回归分析相结合的滑坡预测

滑坡时间预报研究是滑坡研究中的一个热门课题。以实际监测数据为基础,把指数平滑法与非线性回归分析法结合起来;以滑坡的变形值和变形速率为判据,对滑坡进行时间失稳的动态跟踪预报。根据某滑坡的实际情况,对部分监测点位移进行了建模和预测,预测结果表明,该方法具有较高的精度,可以应用于实际工程。     

B样条与磨光样条在基于矩形格网的DEM内插中的应用

本文研究了Ｂ样条和磨光样条应用在基于矩形格网的ＤＥＭ内插中的思想、方法及实现过程。并从逼真性,保凸性,光滑性,运算速度等方面对Ｂ样条、磨光样条与双线性内插算法做了实验比较。理论和实验表明,所述方法具有较好的效果。     

The influence of grain-size analysis methods and sediment mixing on curve shapes and textural parameters: Implications for sediment trend analysis

To this day, deterministic physical models capable of explaining the evolution of grain-size distributions in the course of transport are still lacking. For this reason, various attributes of particle frequency distributions, in particular curve shapes and textural parameters, have for many decades been investigated for potential information about transport behaviour and size-sorting processes of sediments in numerous environments. Such approaches are essentially conceptual and hence rely heavily on the validity of the assumptions on which they are based. A factor which has to date been largely ignored in this context, is the fact that different methods of grain-size analysis (e. g. sieving, laser absorption and diffraction, settling velocity measurements), when applied to the same sample material, produce variable curve shapes, and hence incongruous textural data. This is illustrated by selected examples showing the differences between sieving and settling results, conversion of settling velocities into equivalent settling diameters (psi-phi-transformations), and the influences of particle shape, particle density, and water temperature. It is demonstrated that particle-size distributions are not only method-dependent but also dependent on the adopted post-processing procedure. As a result, only frequency curves generated by the same method and subsequently processed by identical computational procedures can be meaningfully compared. Furthermore, the computation of textural parameters from bi- or multimodal size distributions produces spurious results which are unrelated to the processes leading to the mixing of different size populations frequently observed in nature. In such cases, only the decomposition of such distributions into individual populations and the spatial comparison of such populations makes any sense. Because a physical explanation for the generation of size distributions is lacking, a particular curve shape of a grain-size population has no meaning on its own. Only a systematic comparison of progressively changing curve shapes (and associated textural parameters) of sediments collected on a closely spaced grid can yield data suitable for sediment trend analysis.