The stochastic estimation of satellite clock correction information in WADGPS

1 IntroductionChnventional DGPS is limited by the range overwhich the differential corrections are valid due tothe rapid decorrelation of the error sources with in-creasing distance from the reference station to user.In wide area differential GPS (WWPS) errorsources in GPS measurements are medeled sepa-rately,on the basis of a limited number of referencestaitOns, to overcome this drawback. The main er-ror sources are regarded as broadcast ephemeris er-ror,atmospheric refraction and satel…     

海相黏性土状态与直接快剪试验指标的经验关系

通过对大连海域第四系全新统海相黏性土385组试验数据的统计与分析,建立了第四系全新统海相黏性土(Q4m)液性指数IL与直接快剪试验指标-黏聚力Cq、内摩擦角q的经验关系,即Cq=10.623 I-1.8114L; q=-3.8289ln(IL)+5.8634。     

Efficient collection of training data for sub-pixel land cover classification using neural networks

Artificial neural networks (ANNs) are a popular class of techniques for performing soft classifications of satellite images. They have successfully been applied for estimating crop areas through sub-pixel classification of medium to low resolution images. Before a network can be used for classification and estimation, however, it has to be trained. The collection of the reference area fractions needed to train an ANN is often both time-consuming and expensive. This study focuses on strategies for decreasing the efforts needed to collect the necessary reference data, without compromising the accuracy of the resulting area estimates. Two aspects were studied: the spatial sampling scheme (i) and the possibility for reusing trained networks in multiple consecutive seasons (ii). Belgium was chosen as the study area because of the vast amount of reference data available. Time series of monthly NDVI composites for both SPOT-VGT and MODIS were used as the network inputs. The results showed that accurate regional crop area estimation (R² > 80%) is possible using only 1% of the entire area for network training, provided that the training samples used are representative for the land use variability present in the study area. Limiting the training samples to a specific subset of the population, either geographically or thematically, significantly decreased the accuracy of the estimates. The results also indicate that the use of ANNs trained with data from one season to estimate area fractions in another season is not to be recommended. The interannual variability observed in the endmembers’ spectral signatures underlines the importance of using up-to-date training samples. It can thus be concluded that the representativeness of the training samples, both regarding the spatial and the temporal aspects, is an important issue in crop area estimation using ANNs that should not easily be ignored.     

Areal extent of the 1988 flood in Bangladesh: How much did the satellite imagery show?

This paper presents the methods and results of visual interpretation of satellite imagery for estimating areal extent of the 1988 flood in Bangladesh. The main limitation of this method was that cloud-free images were not available for the peak flood period in the first week of September. Relatively cloud-free images on three selected dates in the last three weeks of September showed that areas of inundation on those dates ranged from 44000 to 60000 km² ± 5% (31 to 42% of Bangladesh). The Government of Bangladesh official estimates of the areal extent of flooding were tentative in nature, since these were based on a choropleth map of relative proportions (percentages) of flooding in different parts of the country. The official estimate of the maximum extent of flooding was 82000 km² (57% of Bangladesh), i.e. 15 to 26% larger than the area shown on satellite imagery. The actual extent of flooding was certainly larger than the estimates from satellite imagery but, perhaps, smaller than the official estimates, since a reduction of 15 to 26% of flood area in one to three weeks seemed unlikely. An alternative method of mapping flood-affected areas by using newspaper-interpreted data was attempted, but the method had limited values because of reporting bias.     

黑龙江密山地区晚石炭世含煤岩系沉积和构造特征

从建造和改造两个方面,系统研究了晚石炭世珍子山组的发育特征,分析了与赋煤有关的地质因素。结果表明:珍子山组含煤段沉积厚度比较稳定,含煤性较好,受后期构造破坏较轻,是较好的赋煤区。该研究为密山地区进一步找煤指出了方向。     

Monitoring Contact State of Laboratory Fault with Coda Transmission Waves

We monitored the amplitude changes of coda transmission waves around 500kHz across the frictional interface of a simulated 1.5-meter-long fault during normal stress holding test. We find that the amplitude of coda transmission waves increases with the logarithm of stationary contact time. Localized increase amounted to a level ranging from 4% to 16% along the fault is observed during the 1-hour experiment. We discuss that the frictional strength at mesoscopic scale, which is related to the amplitude of coda transmission waves, is responsible for the phenomenon. Combining the reported method with other complementary approaches will enhance the understanding of fault mechanism either at laboratory or on-site applications.     

宁芜地区中生代岩浆岩的成因——岩石学与Nd,Sr,Pb同位素证据

宁芜中生代火山盆地产出火山岩与侵入岩，火山岩以玄武粗安岩，粗安岩和粗面岩为主，安山岩和响岩少量，火山岩以高钾富碱为特征，已确定为橄榄安粗岩系。侵入岩以辉长闪长玢岩－一辉长闪长岩为主，以高钠低硅为特征，并有辉长岩和花岗岩产生，据地质学和Ｎｄ，Ｓｒ，Ｐｂ同位素资料，侵入岩与火山岩属同一个岩浆系列，是碱性玄武岩浆在下地壳经过轻度ＡＦＣ混合后，侵入上地壳，在轻度混染的情况下，经过以结晶分离为主的岩浆分异形     

大湖塘矿集区燕山成矿阶段矿床成矿系列研究及找矿问题探讨

大湖塘矿集区位于赣西北九岭成矿带西北部位,区内燕山期岩浆岩侵入活动及成矿作用强烈。大湖塘燕山期岩浆岩形成时间分布在130.3 Ma~151.4 Ma之间,可划分为三次侵入:130.3 Ma~134.3 Ma、140.4 Ma~144.4 Ma、146.4 Ma~151.4 Ma;在144.4 Ma~146.4 Ma之间,岩浆活动处于休宁阶段。区内燕山期岩浆岩与矿床在形成时间上十分接近,空间关系上相互依存,并显示特定的分布格局。根据区内矿床的分布特点、产出位置、成矿时间、燕山期花岗岩与矿床的相关性等特征,可将大湖塘矿集区由北向南依次划分为W、Mo—W、Mo、Cu、Pb、Zn—Cu、Pb、Zn、Au、Ag三个成矿系列,并提出了"北钨南铜"的找矿观点。区内双桥山群与成矿,燕山期岩浆岩的起源,矿床等间距分布,以及重力勘探方面的研究应加强。     

地震自相似现象初探

依据破裂过程和震源物理参数相似性,给出了自相似震源椭球体三轴之比约为a:b:c=1:0.2:0.2。基于分维理论和方法,讨论了自相似的地震时空分布的分维和强震前的降维现象。由前兆展布范围,大震前区域地震活动特征以及地震空区等可导出近源前兆(红肿)区线性尺度约为震源区的5倍。     

Longshore drift estimation using fluorescent tracers: New insights from an experiment at Comporta Beach, Portugal

A fluorescent sand-tracer experiment was performed at Comporta Beach (Portugal) with the aim of acquiring longshore sediment transport data on a reflective beach, the optimization of field and laboratory tracer procedures and the improvement of the conceptual model used to support tracer data interpretation.

The field experiment was performed on a mesotidal reflective beach face in low energetic conditions (significant wave height between 0.4 and 0.5 m). Two different colour tracers (orange and blue) were injected at low tide and sampled in the two subsequent low tides using a high resolution 3D grid extending 450 m alongshore and 30 m cross-shore. Marked sand was detected using an automatic digital image processing system developed in the scope of the present experiment.

Results for the two colour tracers show a remarkable coherence, with high recovery rates attesting data validity. Sand tracer displayed a high advection velocity, but with distinct vertical distribution patterns in the two tides: in the first tide there was a clear decrease in tracer advection velocity with depth while in the second tide, the tracer exhibited an almost uniform vertical velocity distribution. This differing behaviour suggests that, in the first tide, the tracer had not reached equilibrium within the transport system, pointing to a considerable time lag between injection and complete mixing. This issue has important implications for the interpretation of tracer data, indicating that short term tracer experiments tend to overestimate transport rates. In this work, therefore, longshore estimates were based on tracer results obtained during the second tide.

The estimated total longshore transport rate at Comporta Beach was 2 × 10^− 3 m³/s, more than four times larger than predicted using standard empirical longshore formulas. This discrepancy, which results from the unusually large active moving layer observed during the experiment, confirms the idea that most common longshore transport equations under-estimate total sediment transport in plunging/surging waves.