利用热红外温差识别沙尘

沙尘识别是沙尘灾害监测和沙尘气溶胶特性研究的首要工作。利用辐射传输方程进行了沙尘气溶胶的辐射计算 ,对不同沙尘气溶胶光学厚度下的热红外通道温差ΔT(T11μm-T12 μm)的变化进行了分析。理论分析表明 ,利用热红外通道的温度差ΔT进行陆地沙尘识别是可行的。并利用NOAA AVHRR热红外通道的温度差ΔT进行了陆地沙尘识别的实验 ,经与地面气象站实测的沙尘天气现象相比较 ,结果一致。     

Fractally Invariant Distributions and an Application in Geochemical Exploration

Fractal modelling has been applied extensively as a means of characterizing the spatial distribution of geological phenomena that display self-similarity at differing scales of measurement. A fractal distribution exists where the number of objects exhibiting values larger than a specified magnitude displays a power-law dependence on that magnitude, and where this relationship is scale-invariant. This paper shows that a number of distributions, including power-function, Pareto, log-normal and Zipf, display fractal properties under certain conditions and that this may be used as the mathematical basis for developing fractal models for data exhibiting such distributions. Population limits, derived from fractal modelling using a summation method, are compared with those derived from more conventional probability plot modelling of stream sediment geochemical data from north-eastern New South Wales. Despite some degree of subjectivity in determining the number of populations to use in the models, both the fractal and probability plot modelling have assisted in isolating anomalous observations in the geochemical data related to the occurrence of mineralisation or lithological differences between sub-catchments. Thresholds for the main background populations determined by the fractal model are similar to those established using probability plot modelling, however the summation method displays less capacity to separate out anomalous populations, especially where such populations display extensive overlap. This suggests, in the geochemical data example provided, that subtle differences in the population parameters may not significantly alter the fractal dimension.     

Detection and 2d modelling of cavities using pole–dipole array

The resistivity method is often used in cave prospecting. In this paper the pole–dipole array ability to detect cavities at different depths and with different water contents is investigated. The research was performed using analogical and numerical modelling. According to the results, empty caves at a depth less than four times its diameter can be easily detected. The ability of the pole–dipole array to detect water-filled caves reaches a minimum at filling percentages of 30–50%. Overburden effects research shows that low resistivity overburden reduces the resolution capability of the array. This study shows that equivalent results can be obtained by modelling the empty caves as infinite resistivity bodies or, alternatively, as very high resistivity ones. The analysis of field data acquired in the Maciço Calcário Estremenho (Portugal) shows the practical importance of the pole–dipole array in cavities prospecting.     

复杂条件下的地下管线探测技术

以深圳市某大道顶管施工地下管线的探测成果为例,研究了在复杂场地条件下,探测地下管线的地球物理方法和技术,着重研究了电磁感应探测法.认为在复杂条件下,对钢质煤气管,应采用电磁感应探测法;对钢质或铁质给水管,应采用直接法;对电力管和电信管,应尽量采用夹钳法;对排水(管)渠等非金属材质管线,应采用地质雷达探测的方法.     

落球法测量高频振动对淤泥的液化效果

为了提高疏浚工程中管道输送淤泥的效率,对淤泥预处理技术——高频微幅振动液化技术进行了初步研究。主要介绍了落球法测量淤泥粘滞系数的实验,对不同性质的淤泥分别进行实验,根据距离振动棒不同位置的小球的沉降速度求出相应位置的粘滞系数,并将其进行比较,获得液化影响范围。实验结果表明,高频振动对于粉砂质淤泥具有良好的液化效果。     

利用Faster R-CNN进行立交桥自动识别与定位

立交桥结构的自动识别对道路网多尺度建模、空间分析和车辆导航具有重要意义.传统基于矢量数据的立交桥识别方法过分依赖人工设计的特征,对复杂场景的适应性较差.本文提出了一种基于目标检测Faster R-CNN神经网络模型的立交桥识别方法,该方法利用卷积神经网络学习立交桥样本的深层次结构特征,进而实现立交桥的自动识别与准确定位...     

基于ROSE2.0的普洱地区CINRAD/CC雷达冰雹探测算法评估及参数本地化

为提高冰雹探测算法（Hail Detection Algorithm,HDA）产品的可用性,针对2015—2020年普洱地区监测到的22次冰雹个例,利用新一代雷达业务应用软件ROSE2.0对相关雷达基数据进行回放及产品分析,以命中率、虚警率、临界成功指数为指标对HDA算法在普洱地区的识别效果进行评估并给出本地化参数配置方案。结果表明:HDA算法在普洱地区命中率接近100%,但虚警现象非常普遍,使用强冰雹概率（Probability of Severe Hail,POSH）的预警效果优于任意大小冰雹概率（Probability of Hail,POH）,且冰雹尺寸越大POSH虚警的概率越低。进一步使用模拟测评法对POSH算法的适配参数进行分析,发现正确输入降雹日当天的0 ℃层和-20 ℃层高度能有效减少POSH的虚警率及提高临界成功指数;同时使算法预测的最大冰雹直径普遍偏大的情况得到控制,其中,中小冰雹直径偏离百分比减小76.07%,改善效果显著高于大冰雹。此外,增大反射率因子及POSH阈值能有效控制虚警,但也导致漏报次数快速增加,当阈值太大时命中率明显降低,为了保证较高的命中率和临界成功指数,选择Z=50 dBz或POSH=70%为阈值能明显改善HDA算法的识别效果。     

福建省高速公路沿线雷电活动特征分析

为了揭示福建省高速公路沿线雷电活动特征,做好高速公路机电设施的防雷工作,本文利用2015 2018年福建省三维闪电监测数据以及福建省高速公路路网资料进行统计分析.分析了高速公路沿线地闪的月、日活动特征,得出地闪活动主要分布在5 9月和14:00 18:00.根据高速公路沿线地闪密度绘制雷电活动等级分布图,结果表明高速公...     

载荷试验检测复合桩基承载力的影响因素

针对桩基检测中水泥土桩复合地基检测承载力实测值与设计值差别很大,从工程地质条件、地基处理情况、检测方法出发,通过实例分析了复合地基承载力取值的影响因素。分析表明:桩设计参数取值偏低、地基土的力学性能未充分利用、设计的安全储备偏大是影响承载力取值的主要因素,检测时桩间土含水量的变化也有一定程度的影响。     

有毒赤潮藻及其毒素的危害与检测

海洋中可引发赤潮的藻类约有300种,其中有毒赤潮藻为80种左右。现已知道的赤潮藻主要毒素有麻痹性贝毒、腹泻性贝毒、记忆缺失性贝毒、神经性贝毒、西加鱼度和溶血性毒素,前5种毒素的结构已经基本得到证实。有毒赤潮藻的毒素可以在海洋生物体内积累,人类误食含有藻毒素的食品时可能中毒,严重者还可能死亡。海洋有毒赤潮藻及其毒素的检测已经成为当今全球赤潮研究和监测的重要内容之一,可以通过形态学分类方法、分子生物学技术(遗传探针)和免疫学检测技术对有毒赤潮藻进行检测;可以通过生物学、物理化学检测方法和神经受体结合、免疫学检测技术对赤潮藻毒素进行检测。