河北唐山地区盛汛期短时强降水概念模型及物理量特征分析

利用2006-2013年区域自动站降水资料以及NCEP再分析资料,应用EOF分析和中尺度天气图分析等方法对唐山地区盛汛期短历时强降水的时空分布特征、天气学概念模型以及物理量特征进行研究.结果表明：唐山东北部是短时强降水的活跃区、西南部为不活跃区,但西南部极端短时强降水更强;存在5种降水空间分布类型,分别是“一致型”“西北多型”“东南多型”“东北异常偏多型”“东北异常偏少型”.700 hPa切变线是否断裂、副热带高压及高低空急流的位置以及高低空干湿区配置决定了降水分布;短时强降水发生时局地水汽丰富,暖云层厚度较大,垂直风切变较弱,存在一定的不稳定能量,强天气威胁指数较小、0℃层较高,大多数类型都有强的水汽辐合,但“东北异常偏多型”辐合较弱,其水汽主要来源于本地.     

基于小波变换的补燃循环火箭发动机模态参数辨识

文中阐述基于小波变换的结构模态参数辨识方法的基本原理.首先介绍Heisenberg测不准原理,该原理限制了时频能量的同时集中.因小波变换的窗口可以随信号特征不同而变化,符合实际信号的要求.然后论述利用小波脊线的方法识别单自由度和多自由度系统的模态参数的理论.将该方法应用于某型补燃循环液体火箭发动机模态参数辨识中,得到了...     

条带开采地表沉陷预计参数的确定

概率积分法是条带开采地表移动和变形预计常用的方法,而概率积分法预计的精度取决于其预计参数的确定。以国内大量的条带开采实测资料为基础,应用相似理论对条带开采地表沉陷的相似现象进行了模糊聚类分析,计算出了条带开采地表沉陷预计参数。根据所得条带开采地表沉陷相似现象的分类及其地表沉陷预计参数,应用模式识别对待求条带开采地表沉陷预计参数进行了求取。工程实例表明,用模糊优化确定的预计参数进行条带开采地表移动和变形预计,其预计结果更加可靠、准确。     

山东荣成沽河流域水资源系统分析

流域水资源系统由降水产流，以及通过水文下垫面的转换，形成的地表径流和地下水流流组成。本文将复杂的沽河流域水 资源系统分解成多个子系统，利用频谱分析方法对各个水资源子系统的转换功能进行定量的分析刻画，并利用地下含水介质子系统的转换特征函数－频率响应函数求取水文地质参数，丰富了水文地质参数的获取途径。     

三维地震勘探激发参数选择与分析

文中介绍了山区进行三维地震勘探的重要性及其方法原理。以山西晋城煤业集团某勘探区为实例进行实地勘探和试验,并对试验结果进行了详细的分析,进一步验证了该方法的可行性。     

刚性连接的POS与相机集成系统集成检校试验精度分析

本文把国产POS和国产相机进行刚性连接,将系统误差检校参数用于修正随后的不同区域的POS观测值,利用由此得到的POS外方位元素结合航空影像进行直接地理定位,结果证明该方法用于直接测图是满足精度要求的。     

Contribution of magnetic resonance sounding to aquifer characterization and recharge estimate in semiarid Niger

To improve the knowledge of the regionally important Continental Terminal 3 (CT3) aquifer in south-western Niger, fifteen magnetic resonance soundings (MRS) were carried out in December 2005 in the vicinity of wells and boreholes. The output MRS geophysical parameters, i.e. water content and decay constants versus depth, were compared to hydrogeological characteristics, i.e. water table depth, total porosity, specific yield and transmissivity estimated from direct measurements, pumping tests and transient groundwater modelling. The MRS-determined parameters were then used to estimate the rates of groundwater recharge.Contained in poorly consolidated Tertiary sandstones, the CT3 aquifer's water table has continuously risen by 4 m in total over the past four decades. Additionally, a significant portion of this increase has occurred in the past decade alone, with an annual rise now ranging between 0.1 and 0.3 m depending on the monitored well. Increase in groundwater recharge due to land clearance and deforestation explains this situation. According to previous estimations, the pre-clearing recharge ranged from 1 to 5 mm per year in 1950–60 s, while more recent recharge rates (1990s–2000s) range from 20 to 50 mm per year. These recharge values are directly affected by estimated aquifer specific yield value, while the spatial variation of rates of water table rise can be attributed to large scale hydrodynamic heterogeneities in the aquifer. However, few field measurements were available to confirm these assumptions.The main results of this study are: (1) The water table depth and aquifer transmissivity are estimated from MRS output parameters with an average accuracy of ± 10% and ± 9% respectively. (2) The MRS-determined water content is linked to both the total porosity and the specific yield of the aquifer, but no quantitative formulation can be proposed as yet. (3) Using the average MRS-determined water content over the investigated area, i.e. 13%, the groundwater recharge rates can be estimated to be ~ 2 mm per year in the 1950–1960s (pre-clearing period), and ~ 23 mm per year for the last decade. (4) The variations in specific yield and transmissivity cannot explain by themselves the spatial variability of the rise of the water table. (5) The ranges in transmissivity and water content obtained from MRS are more realistic than the groundwater modelling outputs. Therefore, MRS could be used to better constrain the aquifer parameters in groundwater modelling with a dense site network.Finally, this work illustrates how MRS can successfully improve characterisation and transient multi-year groundwater balance of commonly found sedimentary aquifers, particularly when integrated with well observations and pumping tests.     

Preliminary sensitivity study of eruption source parameters for operational volcanic ash cloud transport and dispersion models — A case study of the August 1992 eruption of the Crater Peak vent, Mount Spurr, Alaska

Ash clouds are one of the major hazards that result from volcanic eruptions. Once an eruption is reported, volcanic ash transport and dispersion (VATD) models are used to forecast the location of the ash cloud. These models require source parameters to describe the ash column for initialization. These parameters include: eruption cloud height and vertical distribution, particle size distribution, and start and end time of the eruption. Further, if downwind concentrations are needed, the eruption mass rate and/or volume of ash need to be known. Upon notification of an eruption, few constraints are typically available on many of these source parameters. Recently, scientists have defined classes of eruption types, each with a set of pre-defined eruption source parameters (ESP). We analyze the August 18, 1992 eruption of the Crater Peak vent at Mount Spurr, Alaska, which is the example case for the Medium Silicic eruption type. We have evaluated the sensitivity of two of the ESP – the grain size distribution (GSD) and the vertical distribution of ash – on the modeled ash cloud. HYSPLIT and Puff VATD models are used to simulate the ash clouds from the different sets of source parameters. We use satellite data, processed through the reverse absorption method, as reference for computing statistics that describe the modeled-to-observed comparison. With the grain size distribution, the three options chosen, (1) an estimated distribution based on past eruption studies, (2) a distribution with finer particles and (3) the National Oceanic and Atmospheric Administration HYSPLIT GSD, have little effect on the modeled ash cloud. For the initial vertical distribution, both linear (uniform concentration throughout the vertical column) and umbrella shapes were chosen. For HYSPLIT, the defined umbrella distribution (no ash below the umbrella), apparently underestimates the lower altitude portions of the ash cloud and as a result has a worse agreement with the satellite detected ash cloud compared to that with the linear vertical distribution for this particular eruption. The Puff model, with a Poisson function to represent the umbrella cloud, gave similar results as for a linear distribution, both having reasonable agreement with the satellite detected cloud. Further sensitivity studies of this eruption, as well as studies using the other source parameters, are needed.     

边界补给量计算方法在宋桥井田的应用研究

利用宋桥井田奥灰群孔抽水试验资料,根据补（隔）水边界水位曲线的特征,采用半对数直线图解法,将井田F2-9断层定性为补给边界。为了解补给边界的补给量,选用边界补给量计算方法．计算出了边界补给量占孔流量的65％,从而较客观地确定了井田水文地质条件类型。