Application of a library based method to time domain electromagnetic data for the identification of unexploded ordnance

A simple library based algorithm for the identification of unexploded ordnance is tested on time domain electromagnetic data. A library of polarization tensors is generated from data acquired on a test stand over a collection of different UXO. The objective of the algorithm is to determine which target of the library is most likely to have produced an observed data anomaly. For each target in our library a non-linear inverse problem is solved for the position and orientation that minimizes the least-squares difference between the observed data anomaly and the data predicted from each target. This technique avoids direct inversion for polarization tensor, making it feasible for cases where sensor data quality may not be sufficient to support confident estimation of model parameters. For cases where the background soil response is significant, we also invert for the t⁻¹ decay characteristic of viscous remnant magnetic soil. We present results of preliminary tests of the library technique to Geonics EM63 time domain electromagnetic data collected on a test plot seeded with UXO. These tests demonstrate an excellent ability to accurately identify isolated targets. Misidentification of single targets occur when data anomalies have low signal to noise ratios or when targets within the library have similar polarization tensors.     

EXPERT SYSTEM FOR THE CHARACTERIZATION OF LABORATORY SAMPLE INPUT SIGNALS:AUTOCORR

An expert system is presented for automated time series analysis of laboratory sample input signals.Thesystem,AUTOCORR,builds a model of the time series by identifying the processes that are present.These are an uncorrelated random process and,underlying this,possibly one or more of the following:a first-order autoregressive process,a trend and a periodic process.AUTOCORR has a knowledge baseof 44 rules and 41 facts for this purpose.The employed shell,INFER,allows the use of algorithmicprocedures.Elaborate tests with simulated signals show that AUTOCORR has a very low false positivescore and is successful in describing time series for laboratory simulation models.     

贵州石头寨二叠系古油藏油气成藏期分析：流体包裹体与Sm-Nd同位素制约

贵州石头寨二叠系古油藏是滇黔桂地区众多上古生界生物礁型古油藏的典型代表。该古油藏发育了三期溶孔、裂缝充填方解石,其中含丰富的油气包裹体,三期油气包裹体组合依次为:少量液烃包裹体→液烃包裹体 气烃包裹体→气烃包裹体,与油气包裹体共生的气液水包裹体的均一温度分别为77℃～84℃、91℃～103℃和103℃～155℃。根据含油气包裹体的均一温度,结合沉积盆地热演化史和储层埋藏史,确定石头寨古油藏三期油气充注时间分别为238～235Ma、233～230Ma 和230～185Ma,第三期裂缝充填方解石的 Sm-Nd 等时线年龄为182±21Ma。古油藏的油气充注始于印支中期,于印支晚期至燕山早期达到高峰,燕山中晚期以来遭受破坏形成现今的残余古油藏。     

The International VLBI Service for Geodesy and Astrometry (IVS): current capabilities and future prospects

Very Long Baseline Interferometry (VLBI) plays a unique and fundamental role in the maintenance of the global (terrestrial and celestial) reference frames, which are required for precise positioning in many research areas such as the understanding and monitoring of global changes, and for space missions. The International VLBI Service for Geodesy and Astrometry (IVS) coordinates the global VLBI components and resources on an international basis. The service is tasked by the International Association of Geodesy (IAG) and International Astronomical Union (IAU) to provide products for the realization of the Celestial Reference Frame (CRF) through the positions of quasars, to deliver products for the maintenance of the terrestrial reference frame (TRF), such as station positions and their changes with time, and to generate products describing the rotation and orientation of the Earth. In particular, VLBI uniquely provides direct observations of nutation parameters and of the time difference UT1-UTC. This paper summarizes the evolution and current status of the IVS. It points out the activities to improve further on the product quality to meet future service requirements.     

Estimating regional forest cover in East Texas using Advanced Very High Resolution Radiometer (AVHRR) data

This study tested the degree to which single date, near-nadir AVHRR image could provide forest cover estimates comparable to the phase I estimates obtained from the traditional photo-based techniques of the Forest Inventory and Analysis (FIA) program. FIA program is part of the United States Department of Agriculture-Forest Service (USFS). A six-county region in east Texas was selected for this study. Manual identification of ground control points (GCPs) was necessary for geo-referencing this image with higher precision. Through digital image classification techniques forest classes were separated from other non-forest classes in the study area. Classified AVHRR imagery was compared to two verification datasets: photo-center points and the USFS FIA plots. The overall accuracy values obtained were 67 and 71%, respectively. Analyses of the error matrices indicated that the AVHRR image correctly classified more forested areas than non-forested areas; however, most of the errors could be attributed to certain land cover and land use classes. Several pastures with tree cover, which were field-identified as non-forest, were misclassified as forest in the AVHRR image using the image classification system developed in this study. Recently harvested and young pine forests were misclassified as non-forest in the imagery. County-level forest cover estimates obtained from the AVHRR imagery were within the 95% confidence interval of the corresponding estimates from traditional photo-based methods. These results indicate that AVHRR imagery could be used to estimate county-level forest cover; however, the precision associated with these estimates was lower than that obtained through traditional photo-based techniques.     

时态GIS理论及其数据模型初探

时态GIS(Geography Information System)是GIS中的一个新兴的研究领域。传统的GIS记录的只是这个不断变化的世界的某一时刻的影像,这类GIS亦称为静态GIS。如果在GIS中引入时间这个与空间同等重要的因素,或者说是在三维GIS的基础上,增加时间维或者时间变量,就形成了时态GIS。目前对于时空关系模型的研究就是当前时态GIS研究的重点之一。时态GIS数据模型的实现方法主要有两种:一是扩展传统的关系模型,二是采用面向对象的方法。当前时态GIS的研究取得了一些进展,但仍有许多不足之处。本文将结合实际,对未来完善时态GIS模型及系统建设提出一些需求方面的意见和想法。     

国家温室气体清单时间序列一致性和2005年清单重算研究

《巴黎协定》透明度后续实施细则对发展中国家温室气体清单时间序列一致性方面的要求显著增强。文中基于IPCC清单指南中对温室气体清单重算的要求,对作为我国国家自主贡献基年的2005年温室气体清单进行重算。由于增加了新的排放源或吸收汇、更新部分活动水平或排放因子数据以及采用了更新的方法学,重算后的2005年国家温室气体清单排放量（以CO₂当量计,下同）为80.15亿t（不包括土地利用、土地利用变化和林业,即LULUCF),相比重算前增加了6.6%。能源领域对重算后总排放量上升影响最大,增加了4.26亿t,其中CO₂增长主要来自第三次全国经济普查（三经普）对2005年化石燃料消费量的修订,甲烷（CH₄）和氧化亚氮（N₂O）排放上升主要原因是新增加了排放源。未来我国将更频繁地对以往清单年份开展重算,建议结合《巴黎协定》实施细则要求加强对我国温室气体清单时间序列一致性问题的研究,以更好地支撑国内应对气候变化决策分析,以及满足未来《巴黎协定》下的履约要求。     

Temporal evolution of scour at bridge abutments in compound channels

Bridge abutment-induced sediment scour in compound river channels is time-sensitive during floods, and, thus, estimating the scour rate has significance in design. In the current study, large-scale laboratory experiments were done to examine the influence of multiple factors on scour evolution, including channel geometry, bed mobility (clear-water or live-bed), and lateral (embankment intrusion) and vertical (deck submergence) flow contractions. A new method is applied for scour measurement and determination of characteristic scour trends. Results show that the non-dimensional time scale is related to flow intensity and may peak before reaching the clear-water scour threshold; the corresponding equations also are derived. It is found that the use of scour countermeasures has a significant impact on the scour rate, and the existing equations for unprotected abutments have limitations. Under clear-water conditions, the scour rate is closely related to the overall flow contraction, which can be better reflected by the ratio of the approaching unit discharge to that at the bridge section. Specifically, the effect of vertical flow contraction on scour rate is more dominant than other factors. Two scour rate curves are derived to suit different structural and flow contraction types for clear-water scour. In contrast, the live-bed scour rate data are generally consistent and fall in a narrow band, showing less dependence on other factors. Finally, a new design approach is established to estimate the time scale and scour rate using the new equations proposed in this paper.     

Flood detection from multi-temporal SAR data using harmonic analysis and change detection

Flood mapping from Synthetic Aperture Radar (SAR) data has attracted considerable attention in recent years. Most available algorithms typically focus on single-image techniques which do not take into account the backscatter signature of a land surface under non-flooded conditions. In this study, harmonic analysis of a multi-temporal time series of >500 ENVISAT Advanced SAR (ASAR) scenes with a spatial resolution of 150 m was used to characterise the seasonality in backscatter under non-flooded conditions. Pixels which were inundated during a large-scale flood event during the summer 2007 floods of the River Severn (United Kingdom) showed strong deviations from normal seasonal behaviour as inferred from the harmonic model. The residuals were classified by means of an automatic threshold optimisation algorithm after masking out areas which are unlikely to be flooded using a topography-derived index. The results were validated against a reference dataset derived from high-resolution airborne imagery. For the water class, accuracies > 80% were found for non-urban land uses. A slight underestimation of the reference flood extent can be seen, mostly due to the lower spatial resolution of the ASAR imagery. Finally, an outlook for the proposed algorithm is given in the light of the Sentinel-1 mission.