椭球谐和球谐系数之间一个简单的转换关系

本文推导的椭球谐系数和球谐系数相互之间转换关系的核心思想是在ε~2量级下利用Legendre函数的正交性,从球谐系数求解的积分表示出发,将积分中的椭球坐标变量与球坐标变量相互转换,从而得出椭球谐系数与球谐系数之间的转换关系。本文导出的转换关系有以下优点:①对于第二类Legendre函数的计算采用Laurent级数表示,使计算第二类Legendre函数更为简单;②保留了ε~2量级下,导出的转换关系相比文献[2]的形式更简单,满足物理大地测量边值问题线性化的要求;③顾及了余纬和归化余纬的区别。     

函数模型与随机模型双约束的GPS-InSAR数据融合方法建立三维形变场

针对InSAR技术研究地表三维形变时监测信息不足的问题,以GPS监测信息为先验信息,建立附有随机模型约束的地表三维形变模型。考虑到SAR卫星极轨方式运行导致LOS向观测量对南北向形变不敏感的问题,以GPS南北向形变观测值作为强约束,构建三维形变解算的函数约束条件。模拟数据与西安地区实测数据的计算结果表明,基于随机模型与函数模型共同约束的地表三维形变参数最小二乘解的精度优于仅有函数模型约束或仅有随机模型约束及无任何约束的参数解精度。     

Web服务驱动的地理信息系统研究

Web服务具有松散耦合、高度集成、基于标准规范等优点。将Web服务的这些特性应用到地理信息系统的开发中,提出了Web服务驱动的地理信息系统架构。该架构对现有的Web服务技术进行了改进,引入了服务语义化描述、动态服务组合以及主动服务等概念。最后,对Web服务驱动的地理信息系统进行了测试（以服务发现为例）,验证了系统架构的可行性和合理性。     

逐点内插法建立DEM的研究

本文讨论了移动拟合法和加权平均法两种逐点内插法建立DEM的原理及算法实现,并对其中的关键技术——动态确定阈值R和权函数的确定与实现进行了详细讨论。文章在分析常规权函数的基础上提出了一种新的定权方法。最后通过大量试验数据对两种内插方法的精度以及不同权函数的精度分别进行了评定。     

Water level variations in the Neuse and Pamlico Estuaries,North Carolina due to local and remote forcing

Water level time series records from the Neuse and Pamlico River Estuaries were statistically compared to local and distant wind field data, water level records within the Pamlico Sound and also coastal ocean sites to determine the relative contribution of each time series to water levels in the Neuse and Pamlico Estuaries. The objectives of this study were to examine these time series data using various statistical methods (i.e. autoregressive, empirical orthogonal function analysis (EOF), exploratory data analysis (EDA)) to determine short- and long-time-scale variability, and to develop predictive statistical models that can be used to estimate past water level fluctuations in both the Neuse Estuary (NE) and Pamlico Estuary (PE). Short- and long-time-scale similarities were observed in all time series of estuarine, Pamlico Sound and subtidal coastal ocean water level and wind component data, due to events (nor'easters, fronts and tropical systems) and seasonality. Empirical orthogonal function analyses revealed a strong coastal ocean and wind field contribution to water level in the NE and PE. Approximately 95% of the variation was captured in the first two EOF components for water level data from the NE, sound and coastal ocean, and 70% for the PE, sound and coastal ocean. Spectral density plots revealed strong diurnal signals in both wind and water level data, and a strong cross correlation and coherency between the NE water level and the North/South wind component. There was good agreement between data and predictions using autoregressive statistical models for the NE (R² = 0.92) and PE (R² = 0.76). These methods also revealed significant autoregressive lags for the NE (days 1 and 3) and for the PE (days 1, 2 and 3). Significant departures from predictions are attributed to local meteorological and hydrological events. The autoregressive techniques showed significant predictive improvement over ordinary least squares methods. The results are considered within the context of providing long time-scale hindcast data for the two estuaries, and the importance of these data for multidisciplinary researchers and managers.     

Nonlinear numerical simulation on extreme-wave kinematics

A fully nonlinear numerical model based on a time-domain higher-order boundary element method (HOBEM) is founded to simulate the kinematics of extreme waves. In the model, the fully nonlinear free surface boundary conditions are satisfied and a semi-mixed Euler-Lagrange method is used to track free surface; a fourth-order Runga-Kutta technique is adopted to refresh the wave elevation and velocity potential on the free surface at each time step; an image Green function is used in the numerical wave tank so that the integrations on the lateral surfaces and bottom are excluded. The extreme waves are generated by the method of wave focusing. The physical experiments are carried out in a wave flume. On the horizontal velocity of the measured point, numerical solutions agree well with experimental results. The characteristics of the nonlinear extreme-wave kinematics and the velocity distribution are studied here.     

5种中草药对美国红鱼生长和免疫机能的影响

用分别含连翘(Forsythia suspensa)、猪苓(Polyporus umbellatus)、黄芩(Radix scutellariae)、茯苓(Poria cocos)和黄连(Coptis chinensis)水提取物的配合饵料饲喂美国红鱼(Sciaenops ocellatus),研究其对美国红鱼(Sciaenops ocellatus)生长和免疫机能的影响.结果表明,投喂含有黄芩和茯苓的药饵可使美国红鱼的体长增长率和相对增质量率显著高于对照组(P<0.05);投喂5种含中草药的药饵后,美国红鱼血液白细胞的吞噬活性有明显提高,投药后3 d,除茯苓组外,其余各组吞噬百分比(PP)与对照组之间均差异极显著(P<0.01);在投药后3 d或投药后7 d,连翘、黄芩和黄连组的吞噬指数(PI)与对照组相比有显著(P<0.05)或极显著(P<0.01)差异.在停投药饵后7 d,除茯苓组外,其余各组PP、PI与对照组相比仍有显著差异(P<0.05).同时,美国红鱼血清溶菌酶活性也有显著提高,投药后7 d,溶菌酶活性与对照组之间差异极显著(P<0.01),但在停投药饵后7 d,溶菌酶活性与对照组之间无显著差异(P>0.05);投药28 d后,利用哈维氏弧菌(Vibrio harveyi)人工感染美国红鱼,黄芩组的相对免疫保护率最高,达88.9%,连翘组次之,茯苓组最低.     

基于集合预报极端天气预测指数的浙江分类强对流预报模型

利用2016—2021年ECWMF集合预报资料、浙江自动站实况资料等,计算浙江短时强降水、雷暴大风和冰雹等强对流天气相关物理量的极端天气预报指数（EFI：Extreme Forecast Index）,分析EFI分布特征,并构建了分类强对流预报模型。结果表明：强对流天气与物理量的EFI有密切联系,发生短时强降水时,对流有效位能、整层可降水量、850 hPa与500 hPa温差和位温差的EFI较大,而垂直风切变的EFI为负值,因而较小的垂直风切变更有利于出现极端降水;发生雷暴大风和冰雹时,对流有效位能、850 hPa与500 hPa温差和位温差以及850 hPa温度露点差的EFI较大,700 hPa露点温度的EFI为负值,与上层干冷下层暖湿的有利层结条件有关。利用支持向量机多分类方法,将强对流天气相关物理量的EFI作为特征值开展训练,构建的预报模型对于非局地强对流天气有较好的预报效果,其中短时强降水的误判率明显低于雷暴大风。     

分层水体对表层辐照度比影响的蒙特卡罗分析

众多海洋观测数据表明,在真光层深度范围内,海水固有光学特性和光学有效组分的剖面分层分布是广泛存在的,而很多遥感反演模型的建立基于均一分布假设,尤其是在经验模型的建立中,往往只利用某一深度或各深度平均的光学有效组分浓度与水体光谱的统计关系。文章通过模拟平静水面水下光的辐射传输,分别研究了叶绿素、无机悬浮物浓度垂直分布结构对水下辐照度比的影响,并对比了两类分层水体权重函数等效浓度计算式及相应水下辐照度比,结果表明,对于分层水体,透射深度和层化强度是影响等效浓度值计算误差的主要因素,透射越深,表层层化越强,水体层化对水下辐照度比的影响就越大,但其计算误差也越大。Gondon等效浓度计算结果比较接近实际值,而Zaneveld计算式则高估了分层水体的等效浓度值。     

经验模态法在中国沿岸海平面变化中的应用研究

我国现代海平面变化的系统研究,开始于80年代前后,主要集中于海平面年变率和预测。早期所采用的方法有直线回归法、周期法外推预测等,之后有本征分析方法、随机动态预测模型及灰色系统方法等,以上方法各有利弊,但都因为不能较精确得到海平面变化中的各种周期变化而使得预测精度较差,尤其是对于海平面变化中较长周期的分辨方面。