Towards monitoring groundwater‐dependent ecosystems using synthetic aperture radar imagery

Mapping of groundwater‐dependent ecosystems (GDEs) relies largely on assumption‐laden evaporation models, and few global, direct, and real‐time monitoring techniques exist. We propose a new synthetic aperture radar imagery‐derived index, SARGDE, to identify and monitor these ecosystems across Australia. The index captures vegetation reliance on groundwater during dry periods by estimating the relative stability of foliage and branch structure from the vertical/horizontal cross‐polarized band and InSAR coherence. SARGDE is tested over two contrasting study sites in Australia. To build and verify the index, a total of 90 Sentinel‐1 interferometric wide images are processed and stacked in two data‐cubes. GDE response to the SAR signal is explored using a non‐linear dimension reduction algorithm. Relevant statistical parameters are derived from data‐cubes and combined to form the index. As the index relies on a 1‐year time series of globally, freely available, and cloud‐insensitive SAR imagery, SARGDE offers unprecedented capabilities for large‐scale, annual monitoring of GDEs. Such monitoring will aid reconciliation of human and ecosystem groundwater needs by acting as a systematic monitoring tool, helping policy makers to assure ecosystem sustainability where impacts related to mining, agriculture, or climate change may occur.     

Robotic photosieving from low‐cost multirotor sUAS: a proof‐of‐concept

Measurement of riverbed material grain sizes is now a routine part of fieldwork in fluvial geomorphology and lotic ecology. In the last decade, several authors have proposed remote sensing approaches of grain size measurements based on terrestrial and aerial imagery. Given the current rise of small unmanned aerial system (sUAS) applications in geomorphology, there is now increasing interest in the application of these remotely sensed grain size mapping methods to sUAS imagery. However, success in this area has been limited owing to two fundamental problems: lack of constraint of image scale for sUAS imagery and blurring effects in sUAS images and resulting orthomosaics. In this work, we solve the former by showing that SfM‐photogrammetry can be used in a direct georeferencing (DG) workflow (i.e. with no ground validation) in order to predict image scale within margins of 3%. We then propose a novel approach of robotic photosieving of dry exposed riverbed grains that relies on near‐ground images acquired from a low‐cost sUAS and which does not require the presence of ground control points or visible scale objects. We demonstrate that this absence of scale objects does not affect photosieving outputs thus resulting in a low‐cost and efficient sampling method for surficial grains. Copyright © 2017 John Wiley & Sons, Ltd.     

基于结构自适应中值滤波器的随机噪声衰减方法

本文提出一种保护断层、裂缝等地层边缘特征的结构自适应中值滤波器,用于衰减地震资料中的随机噪声.基于地震反射同相轴局部呈线型结构的假设,采用梯度结构张量估计地层倾向,分析地层结构的规则程度,在此基础上引入地震剖面中线型和横向不连续性两种结构特征的置信度量.结构自适应中值滤波器根据这两种置信度量调整滤波器窗函数的尺度和形状,根据地层倾角调整滤波器窗函数的方向,从而使得滤波操作窗能够最佳匹配信号的局部结构特征.将本文方法用于合成和实际数据的处理,并与两种常用中值滤波方法进行对比,结果表明,该方法能够更好地解决地震剖面的随机噪声衰减和有效信号保真的问题,在增强反射同相轴的横向一致性的同时有效保持了剖面内的地层边缘和细节特征,显著改善了地震资料的品质.     

Strategies for stable attenuation compensation in reverse‐time migration

Attenuation in seismic wave propagation is a common cause for poor illumination of subsurface structures. Attempts to compensate for amplitude loss in seismic images by amplifying the wavefield may boost high‐frequency components, such as noise, and create undesirable imaging artefacts. In this paper, rather than amplifying the wavefield directly, we develop a stable compensation operator using stable division. The operator relies on a constant‐Q wave equation with decoupled fractional Laplacians and compensates for the full attenuation phenomena by performing wave extrapolation twice. This leads to two new imaging conditions to compensate for attenuation in reverse‐time migration. A time‐dependent imaging condition is derived by applying Q‐compensation in the frequency domain, whereas a time‐independent imaging condition is formed in the image space by calculating image normalisation weights. We demonstrate the feasibility and robustness of the proposed methods using three synthetic examples. We found that the proposed methods are capable of properly compensating for attenuation without amplifying high‐frequency noise in the data.     

An experimental investigation of nitrogen gas produced during denitrification

In situ denitrification relies on indigenous microorganisms to reduce nitrate to N(2) gas. However, when initial nitrate concentrations are large, produced gas volumes also can be very large, potentially resulting in reduced water saturation and hydraulic conductivity in the treatment zone. In this study, we investigated the fate of N(2) and other gases produced during denitrification in a laboratory flow cell containing packed sediment. Denitrifying activity was stimulated by additions of nitrate and ethanol. Microbial activity was monitored by measuring nitrate, nitrite, and ethanol concentrations; gas saturations were measured during the experiment using a gamma imaging system. Biomass was measured using phospholipid fatty acid analysis of sediment samples. Bioenergetic calculations calibrated to measured nitrate consumed and biomass produced predicted that 1.2 L N(2) gas/L water should have been produced following the addition of 100 mM nitrate. However, the maximum measured gas saturation was only 23%, indicating substantial gas loss from the sediment pack. Temporal gamma images and visual observations confirm that small gas bubbles formed in the sediment pack coalesced into larger bubbles and migrated upward through gas-filled channels to the sediment pack surface. Although gas saturations increased, there was no significant change in sediment pack hydraulic conductivity. These results suggest that in permeable reactive barriers used for in situ denitrification, gas production will not necessarily lead to unlimited gas accumulation in the pore space and that the effects of gas production on water saturation and hydraulic conductivity may be relatively minor.     

Socio-hydrology with hydrosocial theory: two sides of the same coin?

ABSTRACT

This paper reviews socio-hydrology and hydrosocial research, finding a sophisticated relationship with emergent syntheses. We examined 419 papers by topic, region of study, theories implemented, journal, and year published to ascertain trends in both subfields. We found important overlap and considerable difference between subfields. Whereas hydrosocial research took years to develop, socio-hydrology commenced with an inaugural paper in 2012. While the former focuses on power and scale in studying water demand, the latter concentrates on practical responses to climate extremes. Hydrosocial research usually relies on qualitative methods, and socio-hydrology research the quantitative. In the geographic regions where the former does not focus, the latter does. The former often relies on post-structuralist theory, whereas the latter uses positivist approaches. Our review concludes that socio-hydrology and hydrosocial research exist in a complex epistemological relationship, offering fertile grounds for lively discussions from which both will continue to benefit.     

Effect of Slope Length and Rainfall Intensity on Runoff and Erosion Conversion from Laboratory to Field

Water Resources - Predictions of soil and water loss at large extents often relies on data obtained from laboratory flume experiments. It is necessary to have a reliable approach to extrapolate...     

Aeolian sand transport—an optimized model

Consideration of the available equations for prediction of aeolian sand transport led to the development of a model which relies on optimization techniques for the production of improved performance. The model has been applied to the characterization of dunesand movement in coastal environments in eastern Australia.     

FILTER DESIGN FOR SUPPRESSION OF SURFACE MULTIPLES IN A NON-NORMAL INCIDENCE SEISMOGRAM*

In this paper we design a non-linear filter to suppress surface multiples in a non-normal incidence plane wave seismogram of a horizontally-layered elastic (or acoustic) earth model. Our filter is optimal in a least-squares sense and is very efficient in suppressing surface multiples, especially for small incidence angles. The design is based on an extension of earlier work by Mendel on normal incidence Bremmer series decomposition to the case of non-normal incidence, and relies heavily on work by Aminzadeh on a non-normal incidence state space model.     

双能CT诊断膝关节前交叉韧带损伤可行性探讨

目的:探讨双能CT在膝关节前交叉韧带(ACL)损伤中的应用可行性。方法:30例膝关节外伤患者行双能CT和MR检查,观察软组织CT图像、双能CT肌腱伪彩(DETC)图像和MR图像上ACL。以MR图像为参考标准,评估双能CT图像诊断ACL损伤的预测值。结果:MR图像、软组织CT图像、联合软组织CT图像和DETC图像诊断明确的ACL损伤的例数分别为23、11和20。软组织CT图像诊断ACL损伤的敏感度、特异度、阳性预测值、阴性预测值及准确度分别为47.8%、100.0%、100.0%、36.8%和60.0%;联合软组织CT图像和DETC图像诊断ACL损伤的各预测值分别为82.6%、85.7%、95.0%、60.0%和83.3%。与软组织CT图像相比,联合软组织CT图像和DETC图像诊断ACL损伤的敏感度和准确度均有明显增加(敏感度和准确度相应的χ2值分别为6.133和4.022,P值均<0.05)。结论:联合双能CT的软组织CT图像和DETC图像可诊断ACL损伤,并具有较高的预测值。      

Modeling transient discharge into a tunnel drilled in a heterogeneous formation

An analytical model is developed to predict transient discharge flow into a tunnel drilled at various speeds through a heterogeneous formation. This model relies on simplifying assumptions commonly enforced in hydrogeologic engineering, and combines the convolution and superposition principles to account for composite sections with arbitrary parametric contrasts. An application to the data monitored during the exploratory drilling of an Alpine tunnel confirms the validity of the approach.     

Neural network time series prediction of environmental variables in a small upland headwater in NE Scotland

Short‐term prediction of environmental variables such as stream flow rate is useful to members of the general public and environmental scientists alike, providing the ability to predict environmental disasters or scientifically interesting events. Here, a neural‐network based method is presented, which is capable of providing advance flood warnings or the prediction of high stream flow events for research purposes in a small upland headwater in NE Scotland. This method relies on training from past time series data acquired in the field, and provides the ability to predict a range of hydrological and meteorological variables up to 24 h ahead using feedback of predicted values at time t as new inputs for the next time step t + 1. The system is rapid and effective, relies on standard neural network training methods, and has the potential to be implemented in a web‐based monitoring and prediction package. The model design could be implemented at any study site where time series data has been gathered, and is sufficiently flexible to accept whatever data is available. Copyright © 2007 John Wiley & Sons, Ltd.     

年轻火山岩氩同位素体系定年技术最新进展及问题

对年轻(第四纪)火山岩K-Ar法、常规40Ar/39Ar法和激光40Ar/39Ar法定年的优缺点进行了评述,回顾了近10年40Ar/39Ar定年技术在该领域的进展,介绍了惰性气体质谱技术的进步及测量自动化对年轻火山岩定年的影响。讨论了快中子照射及40Ar/39Ar标样问题对高精度年轻火山岩定年的影响,分析了国内用于快中子照射的北京49-2反应堆中子通量梯度问题及对高精度定年的影响。结合年轻火山岩定年及数据处理的实际经验,介绍了年轻火山岩定年中的分析误差、主要影响因素及每个影响因子对总误差的贡献,指出36Ar测试精度、系统本底和质量歧视是影响年轻火山岩高精度定年3个主要内部因素,并给出定量化曲线及减小影响的处理方法。最后列举了年轻火山岩定年存在的问题及可能的探索方向。随着技术的发展,40Ar/39Ar法在晚更新世火山岩定年领域将会占有主导地位     

Response of a circular foundation on a uniform half-space to elastic waves

An alternative technique to obtain the dynamic response of a massless rigid circular foundation resting on a uniform elastic half-space when subjected to harmonic plane waves is presented. The technique relies on the use of an integral representation involving the free-field ground motion and the contact tractions obtained in the course of calculating the dynamic force–displacement relationship of the foundation for external forces. Tables listing the translational and rotational components of the response of the foundation for non-vertically incident SH, P, SV and Rayleigh waves are presented.     

地震综合计算预报程序

本程序是根据罗兰格等在1985年(中国地震)1卷4期发表的“地震综合预报”文章中提出的地震三要素的综合计算公式,用Visual Basic(刘瑞新等,2000)编写的。用此程序可以很方便的对任何监测区,定量的进行地震三要素的综合预报计算,作为实际地震三要素预报中的参考。     

四川前兆钻孔应变仪台站观测系统运行管理现状分析

四川数字地震观测网络项目前兆分项目建设已通过中国地震局监测司的验收,四川前兆钻孔应变仪台站观测系统已运行一年多,从观测工作的各个环节都有值得总结和分析的必要,从而更好地服务于地震预报和科学研究。     

Effect of the steel material variability on the seismic capacity design of steel-concrete composite structures: a parametric study

Modern seismic codes recommend the design of ductile structures able to absorb seismic energy through high plastic deformation. Since seismic ductile design relies on an accurate control of plastic hinges formation, which mainly depends on the distribution of plastic resistances of structural elements, efficiency of the design method strongly depends on the actual mechanical properties of materials. The objective of the present contribution is therefore to assess the impact of material variability on the performance of capacity-designed steel-concrete composite moment resisting frames.     

基于ERDAS二次开发的震害图像信息提取方法研究

通过ERDAS IMAGINE软件二次开发,建立了一些实用的震害信息提取方法,利用这些方法开发的震害遥感信息提取的程序模块对1976年唐山地震影像、1999年台湾集集地震影像及Quickbid影像进行了处理,将得到的结果与目视解译结果进行对比,结果表明研究中提出的震害信息提取方法具有较好的实用性.     

Bayesian frequency-domain blind deconvolution of ground-penetrating radar data

Enhancing the resolution and accuracy of surface ground-penetrating radar (GPR) reflection data by inverse filtering to recover a zero-phased band-limited reflectivity image requires a deconvolution technique that takes the mixed-phase character of the embedded wavelet into account. In contrast, standard stochastic deconvolution techniques assume that the wavelet is minimum phase and, hence, often meet with limited success when applied to GPR data. We present a new general-purpose blind deconvolution algorithm for mixed-phase wavelet estimation and deconvolution that (1) uses the parametrization of a mixed-phase wavelet as the convolution of the wavelet's minimum-phase equivalent with a dispersive all-pass filter, (2) includes prior information about the wavelet to be estimated in a Bayesian framework, and (3) relies on the assumption of a sparse reflectivity. Solving the normal equations using the data autocorrelation function provides an inverse filter that optimally removes the minimum-phase equivalent of the wavelet from the data, which leaves traces with a balanced amplitude spectrum but distorted phase. To compensate for the remaining phase errors, we invert in the frequency domain for an all-pass filter thereby taking advantage of the fact that the action of the all-pass filter is exclusively contained in its phase spectrum. A key element of our algorithm and a novelty in blind deconvolution is the inclusion of prior information that allows resolving ambiguities in polarity and timing that cannot be resolved using the sparseness measure alone. We employ a global inversion approach for non-linear optimization to find the all-pass filter phase values for each signal frequency. We tested the robustness and reliability of our algorithm on synthetic data with different wavelets, 1-D reflectivity models of different complexity, varying levels of added noise, and different types of prior information. When applied to realistic synthetic 2-D data and 2-D field data, we obtain images with increased temporal resolution compared to the results of standard processing.     

宇宙成因核素埋藏年龄测定及其在地球科学中的应用

原地生成宇宙成因核素埋藏测年方法,在晚新生代沉积物尤其是陆相碎屑沉积物测年上具有广泛的应用前景.在同一岩石或矿物中的宇宙成因核素对,例如26Al和10Be在地表的生成速率比值是固定的,不受纬度和海拔的影响,但是这一核素对分别具有不同的半衰期.在地表经历了暴露的沉积物被埋藏后,该比值会随着时间而降低,因此具有不同的半衰期...