A new standardized Palmer drought index for hydro‐meteorological use

Accepting the concept of standardization introduced by the standardized precipitation index, similar methodologies have been developed to construct some other standardized drought indices such as the standardized precipitation evapotranspiration index (SPEI). In this study, the authors provided deep insight into the SPEI and recognized potential deficiencies/limitations in relating to the climatic water balance it used. By coupling another well‐known Palmer drought severity index (PDSI), we proposed a new standardized Palmer drought index (SPDI) through a moisture departure probabilistic approach, which allows multi‐scalar calculation for accurate temporal and spatial comparison of the hydro‐meteorological conditions of different locations. Using datasets of monthly precipitation, temperature and soil available water capacity, the moisture deficit/surplus was calculated at multiple temporal scales, and a couple of techniques were adopted to adjust corresponding time series to a generalized extreme value distribution out of several candidates. Results of the historical records (1900–2012) for diverse climates by multiple indices showed that the SPDI was highly consistent and correlated with the SPEI and self‐calibrated PDSI at most analysed time scales. Furthermore, a simple experiment of hypothetical temperature and/or precipitation change scenarios also verified the effectiveness of this newly derived SPDI in response to climate change impacts. Being more robust and preferable in spatial consistency and comparability as well as combining the simplicity of calculation with sufficient accounting of the physical nature of water supply and demand relating to droughts, the SPDI is promising to serve as a competent reference and an alternative for drought assessment and monitoring. Copyright © 2013 John Wiley & Sons, Ltd.     

鄱阳湖生态环境动态监测服务系统

针对目前生态环境监测中多源多尺度数据获取、定量遥感模型半自动化条件制约海量数据的快速处理与分析以及静态的时空快照服务难以表达动态变化过程等问题,该文从基于传感网的数据多元化实时感知获取、基于数据仓库的生态信息主题化动态汇聚、基于多尺度WFS的智能化服务、基于动态数据驱动的仿真动态模拟知识化应用方面考虑,设计湖泊流域生态环境动态监测服务系统。以鄱阳湖为例进行验证,为鄱阳湖流域的生态监测以及江西省生态文明试验区建设提供服务。     

Effects of size and strain rate on the mechanical behaviors of rock specimens under uniaxial compression

Size and strain rate are two key factors that dramatically influence the estimation of rock mechanical behaviors. To better understand the effects of size and strain rate on measured rocks, rock specimens with six different sizes were tested at six different strain rates under uniaxial compression using the MTS 815 Rock Mechanics Test System. Having determined that the size and strain rate significantly affect the peak strain, peak stress, elastic modulus, acoustic emission (AE), and failure pattern of the rock specimens, the relation was established between the strength and the size and strain rate of red sandstone. And the variation was revealed among the size and strain rate, the AE, and the failure pattern. It turned out that the peak stress was negatively correlated with the rock size and was positively correlated with the strain rate. When the length to diameter ratio (L/D) of the rock specimen was less than 2.0, the AE appeared mildly. The AE quantities gradually increased before the peak stress, and then sharply decreased after the peak stress. The failure pattern of the rock specimen was relatively complicated, with a fracture plane appearing along the axial direction. Conical failure type was also presented. When the L/D ratio of the specimen was greater than 2.0, the AE characteristics of red sandstone showed the radical model. There were relatively few AE rings before the peak stress. But the AE rings increased suddenly and dramatically during the peak stress. The rock specimens primarily failed with a single shear plane. Moreover, with an increase in the strain rate, the AE activities were enhanced and the AE quantities increased. When the strain rate of the rock specimen was less than 5.0?×?10^?4/s, the rock specimen failed with a shear or tensile-shear pattern. And when the strain rate was greater than 5.0?×?10^?4/s, the rock specimen tended to fail in a conical pattern.     

Regional hazard prediction of rock bursts using microseismic energy attenuation tomography in deep mining

Rock burst prediction is a worldwide challenge that we have long tried to overcome. This study tentatively proposed a method to regionally predict rock burst hazards using microseismic energy attenuation. To verify the feasibility of the proposal, first, the mechanism of microseismic energy propagation and attenuation in rock medium was explored, and dominant attenuation characteristics of microseismic waves were analyzed. Second, a spatial attenuation model of microseismic energy was established, and the average energy attenuation coefficient for each wave path was defined. A 3D seismic energy attenuation inversion algorithm was put forward, and the corresponding computation matrix was developed. Third, a continuous microseismic field investigation was carried out in a deep coal mine. Seismic energy attenuation coefficient was confirmed using the calibrated focus position and energy determination. Based on data discretization processing, energy attenuation inversion and tomography, potential rock burst hazard regions were strictly zoned in mining areas. Finally, regional prediction results obtained from the microseismic energy attenuation were compared with the direct measurement results obtained from the classical drilling dust method to verify the reliability of proposed approach. It turns out that rock burst hazard regions predicted by the microseismic energy attenuation agreed well with the objective hazardous situations. Seismic energy attenuation coefficient is a significant evaluation factor that directly mirrors the inelastic performance of rock medium. Energy attenuation coefficient threshold used for determining the rock burst hazard regions was 3.0 km^?1. Reliability of the seismic energy attenuation inversion and tomography was closely related to the spatial distribution of microseisms in a localized region. The optimum spatial density of microseisms was 0.2 m^?3. Regional rock burst prediction using microseismic energy attenuation is an effective approach for revealing potential hazardous regions in deep mining conditions. This approach improves the pertinence of geological hazard prevention and provides a beforehand reference for targeted hazard management.     

二连盆地额仁淖尔凹陷下白垩统湖相云质岩优质储层特征及控制因素

二连盆地多个凹陷的下白垩统均发育一套湖相白云岩。它不仅是一个重要的地层对比标志层,还是一套有效的储集层。这套储层孔隙结构复杂,非均质性强。寻找优质储层是油气勘探的关键。研究以二连额仁淖尔凹陷的下白垩统湖相云质岩为研究对象,研究了云质岩储层的储层特征和成因。本次研究采用岩心观察、岩石学、扫描电镜(SEM)、X射线衍射、稳定碳氧同位素地球化学等多种方法,进而了解储层的岩石学、成岩特征及其对储层物性的影响。为了深入分析云质岩的储层特征,将云质岩分为三种类型:云质粉砂岩、云质沉凝灰岩和云质泥岩。云质粉砂岩常与云质/钙质泥岩相邻。白云石的主要特征是微晶结构、填充粒间孔隙或取代基质或方解石胶结物。云质粉砂岩物性较好,平均孔隙度为10.2%,渗透率为1.03 mD,属于低-超低孔特低渗储层。除了白云石化外,方解石胶结作用是降低储层孔隙度和渗透率的主要因素。有机酸的溶蚀作用主要发生在凝灰质矿物中,常见于与云质沉凝灰岩相邻的云质粉砂岩,形成粒内和粒间溶孔。云质沉凝灰岩常与泥岩、粉砂岩互层,主要发育前扇三角洲亚相。白云石以微晶为主,方解石以细晶粗晶为主。它们以团块的形式分布在凝灰质基质中。云质沉凝灰岩的平均孔隙度和渗透率分别为9.85%和0.34 mD,属于特低孔特低渗储层。储层孔隙度和渗透率降低的主要因素与火山物质有关。火山物质的蚀变作用释放出大量的离子进入地层水,不仅加强了早期碳酸盐胶结作用,而且导致了黏土矿物充填孔隙。另外,溶蚀作用是改善储层物性的主要因素,主要溶蚀云质沉凝灰岩中的碳酸盐团块,形成粒内和粒间溶孔。白云石化作用在云质泥岩中较弱,白云石沿纹层以泥晶形式出现。云质泥岩物性差,平均孔隙度为2.5%,渗透率为0.01 mD,储层物性差主要是原始物性差造成的。此外,成岩晚期的强碳酸盐胶结作用导致云质泥岩形成致密储层。该类岩石主要依靠微裂缝来改善储层物性,在断裂带附近的云质泥岩易发育微裂缝,微裂缝富集程度随离主断层距离的增大而减小。     

Semisupervised heterogeneous ensemble for ship target discrimination in synthetic aperture radar images

Ship detection using synthetic aperture radar (SAR) plays an important role in marine applications. The existing methods are capable of quickly obtaining many candidate targets, but numerous non-ship objects may be wrongly detected in complex backgrounds. These non-ship false alarms can be excluded by training discriminators, and the desired accuracy is obtained with enough verified samples. However, the reliable verification of targets in large-scene SAR images still inevitably requires manual interpretation, which is difficult and time consuming. To address this issue, a semisupervised heterogeneous ensemble ship target discrimination method based on a tri-training scheme is proposed to take advantage of the plentiful candidate targets. Specifically, various features commonly used in SAR image target discrimination are extracted, and several acknowledged classification models and their classic variants are investigated. Multiple discriminators are constructed by dividing these features into different groups and pairing them with each model. Then, the performance of all the discriminators is tested, and better discriminators are selected for implementing the semisupervised training process. These strategies enhance the diversity and reliability of the discriminators, and their heterogeneous ensemble makes more correct judgments on candidate targets, which facilitates further positive training. Experimental results demonstrate that the proposed method outperforms traditional tri-training.     

面向多分辨率DEM的河网相似性测度与分析

河网是地形结构的核心要素,能够有效地反映DEM对地表形态的刻画能力。实现不同分辨率条件下DEM河网相似性测度对DEM地形综合、DEM质量评估及DEM不确定性分析等研究具有重要意义。基于此,本文以黄土高原典型样区为研究区,基于5 m高精度DEM建立的多分辨率DEM数据集,构建了地形特征自适应的DEM河网自动提取方法,建立了综合拓扑关系、方位关系、距离关系及属性特征四维信息的河网相似性度量模型,并分析了河网相似性变化特征及其与地形参数的相关性。实验结果显示,河网自动提取方法的制图精度和用户精度均在90%以上,总体精度优于Passalacqua等提出的GeoNet方法,能够有效实现不同分辨率下河网较高精度提取;河网相似性度能综合反映河网空间分布特征的差异性,河网相似度与分辨率变化率之间的幂函数关系R²达0.978,且河网相似度与高程、坡度中误差分别表现为幂函数和对数函数关系,后者对数关系显著性优于前者幂函数关系。研究表明,在以河网作为DEM构建重要数据源的背景下,本文的研究成果可为DEM质量及其应用适宜性的定量评价提供基础。     

山东省栖霞市笏山-西陡崖金矿地质特征及深部找矿远景

笏山-西陡崖金矿为台前-陡崖成矿带2012年新提交的大型金矿床,该金矿严格受台前-陡崖断裂带控制,-675m标高以上累计探明资源储量金金属量30t,通过对其成矿地质背景、矿床地质特征及矿床成因、找矿标志、成矿规律的总结分析,指出了深部-1 000m标高以深的找矿远景,为进一步开展深部及走向上继续"攻深找盲"提供了依据。     

SuperMap平台下综合地理信息保障云服务系统建设

系统以江西省地理信息公共服务平台为依托,采用基于跨平台的云架构、二三维一体化、云端一体化三大技术体系的Super Map GIS 8C地理信息平台进行开发,运用三维仿真技术、多媒体技术等高新技术手段,构建了PC端、Web端一体化的综合地理信息保障服务系统,实现了行政执法工作的信息化,为江西省突发事件和自然灾害的智能预警、快速处置突发事件等提供保障服务。系统为推动江西社会管理工作的科学发展,并为实时预测事故、消除隐患、分析形势和及时决策提供服务,对提升社会自然灾害综合防御能力和各类突发公共事件的快速处理能力具有非常重要的作用。