The Relationship Between the Amplitude and Descending Time of a Solar Activity Cycle

The amplitude of a solar-activity cycle is found to be well correlated (r = −0.811) with the descending time three cycles earlier, in smoothed monthly-mean sunspot numbers for Cycles 8 – 23. The descending time therefore can be used as one of the indicators to predict the amplitudes. As a result, the amplitudes of Cycles 24 – 25 are estimated to be 114.8 ± 17.4, 111.6 ± 17.4, respectively, where the error bar equals ± standard error.     

速度传感反馈地震计的参数稳定性分析

从理论上定量分析机械摆和环路滤波等开环诸参数变化对速度传感反馈地震计闭环参数的影响.研究指出,在环路设计中可半自由选取的开环阻尼取值对参数稳定性有重要影响.过大或过小的开环阻尼取值均可能造成参数稳定性急剧变差,影响地震计在只标不调的状况下长期连续稳定工作.     

云浮硫铁矿矿山地质环境问题及对策分析

云浮硫铁矿已开采多年,但开采中带来了一系列环境问题。本文通过对矿区进行的地质环境综合评价,查明了主要矿山地质环境存在的问题,并分析了其原因;利用敏感因子—综合分值评价法,对云浮硫铁矿矿山地质环境质量进行分区,提出了矿山地质环境恢复治理建议,最大程度的降低矿山开采对地质环境的不利影响,努力构建"和谐矿区,和谐社会",促进生态环境、经济和社会的协调可持续发展。     

惠民凹陷南坡石炭二叠系煤层二次生气模式

利用开放体系程序升温热模拟实验方法,对惠民凹陷南坡石炭—二叠系煤岩样品的热演化规律进行了研究,建立了该区石炭二叠系含煤地层有机质的生气模式,探讨了影响二次生气潜力的各种主控因素,为准确评价其资源潜力和计算远景资源量奠定了基础,对渤海湾盆地其他类似地区煤型气勘探具有指导意义。     

一个近地层中的三维随机扩散模式

利用横向Lagrange时间尺度T_(LY),与稳定度及高度的关系,本文建立了一个三维随机扩散模式,并用它模拟了近地层中地面源的扩散过程。模式计算结果表明:在稳定层结条件下该模式比取T_(LY)为常数得到的模式有明显的改进,而在不稳定条件下这一模式改进不大。     

Soil property variation mapping through data mining of soil category maps

Spatial information on soil properties is an important input to hydrological models. In current hydrological modelling practices, soil property information is often derived from soil category maps by the linking method in which a representative soil property value is linked to each soil polygon. Limited by the area‐class nature of soil category maps, the derived soil property variation is discontinuous and less detailed than high resolution digital terrain or remote sensing data. This research proposed dmSoil, a data‐mining‐based approach to derive continuous and spatially detailed soil property information from soil category maps. First, the soil–environment relationships are extracted through data mining of a soil map. The similarity of the soil at each location to different soil types in the soil map is then estimated using the mined relationships. Prediction of soil property values at each location is made by combining the similarities of the soil at that location to different soil types and the representative soil property values of these soil types. The new approach was applied in the Raffelson Watershed and Pleasant Valley in the Driftless Area of Wisconsin, United States to map soil A horizon texture (in both areas) and depth to soil C horizon (in Pleasant Valley). The property maps from the dmSoil approach capture the spatial gradation and details of soil properties better than those from the linking method. The new approach also shows consistent accuracy improvement at validation points. In addition to the improved performances, the inputs for the dmSoil approach are easy to prepare, and the approach itself is simple to deploy. It provides an effective way to derive better soil property information from soil category maps for hydrological modelling. Copyright © 2014 John Wiley & Sons, Ltd.     

鲜水河断裂带炉霍县卡扎村大探槽古地震研究

本文测定分析了特殊地区的两种不同饱和状态的干压实土体在不同等级荷栽作用下产生的沉陷量，探讨了施荷时间对沉陷量的影响从而提示了两种干压实土体在荷载作用下沉陷量变化规律，并分析研究了这两种干压实土体的最大压缩模量与饱和度的关系。这一研究成果对干旱特殊地区的公路设计施工具有一定的参考价值。     

SVG在热带气旋信息图形化中的应用

介绍了SVG技术显示地图信息的优点以及使用MICAPS的地图数据做矢量地图的方法,提出用SVG图像进行热带气旋信息图形矢量化服务的技术方案,认为使用SVG技术开展气象信息图形矢量化服务的研发工作,可以大大提高气象预报信息产品的可视化程度与数据信息共享,以及结构化的信息交换能力。     

Automated Target Detection and Discrimination Using Constrained Kurtosis Maximization

Exploiting hyperspectral imagery without prior information is a challenge. Under this circumstance, unsupervised target detection becomes an anomaly detection problem. We propose an effective algorithm for target detection and discrimination based on the normalized fourth central moment named kurtosis, which can measure the flatness of a distribution. Small targets in hyperspectral imagery contribute to the tail of a distribution, thus making it heavier. The Gaussian distribution is completely determined by the first two order statistics and has zero kurtosis. Consequently, kurtosis measures the deviation of a distribution from the background and is suitable for anomaly/target detection. When imposing appropriate inequality constraints on the kurtosis to be maximized, the resulting constrained kurtosis maximization (CKM) algorithm will be able to quickly detect small targets with several projections. Compared to the widely used unconstrained kurtosis maximization algorithm, i.e., fast independent component analysis, the CKM algorithm may detect small targets with fewer projections and yield a slightly higher detection rate.