浅水高分辨率测深侧扫声纳系统及其海上应用

介绍浅水高分辨率测深侧扫声纳系统(SBSSS)的工作原理和硬件结构,然后介绍系统进行海上井场区域调查的情况,最后给出系统的实时工作结果和水深数据后处理结果.并把系统获得的水深和地貌结果分别与EM3000D多波束测深系统的水深结果、Klein2000型侧扫声纳系统的地貌结果进行对比分析.比较结果表明,浅水高分辨率测深侧扫声纳系统与其他系统获得的结果一致,经数据后处理,测深精度达到IHO特级标准要求.     

Estimates of global M_2 internal tide energy fluxes using TOPEX/POSEIDON altimeter data

TOPEX/POSEIDON altimeter data from October 1992 to June 2002 are used to calculate the global barotropic M2 tidal currents using long-term tidal harmonic analysis. The tides calculated agree well with ADCP data obtained from the South China Sea (SCS). The maximum tide velocities along the semi-major axis and semi-minor axis can be computed from the tidal ellipse. The global distribution of M2 internal tide vertical energy flux from the sea bottom is calculated based on a linear internal wave generation model. The global vertical energy flux of M2 internal tide is 0.96 TW, with 0.36 TW in the Pacific, 0.31 TW in the Atlantic and 0.29 TW in the Indian Ocean, obtained in this study. The total horizontal energy flux of M2 internal tide radiating into the open ocean from the lateral boundaries is 0.13 TW, with 0.06 TW in the Pacific, 0.04TW in the Atlantic, and 0.03 TW in the Indian Ocean. The result shows that the principal lunar semi-diurnal tide M2 provides enough energy to maintain the large-scale thermohaline circulation of the ocean.     

Improvement of Urban Impervious Surface Estimation in Shanghai Using Landsat7 ETM＋ Data

This paper explores the potential to improve the impervious surface estimation accuracy using a multi-stage approach on the basis of vegetation-impervious surface-soil (V-I-S) model. In the first stage of Spectral Mixture Analysis (SMA) process, pixel purity index, a quantitative index for defining endmember quality, and a 3-dimensional endmember selection method were applied to refining endmembers. In the second stage, instead of obtaining impervious surface fraction by adding high and low albedo fractions directly, a linear regression model was built between impervious surface and high/low albedo using a random sampling method. The urban impervious surface distribution in the urban central area of Shanghai was predicted by the linear regression model. Estimation accuracy of spectral mixture analysis and impervious surface fraction were assessed using root mean square (RMS) and color aerial photography respectively. In comparison with three different research methods, this improved estimation method has a higher overall accuracy than traditional Linear Spectral Mixture Analysis (LSMA) method and the normalized SMA model both in root mean square error (RMSE) and standard error (SE). However, the model has a tendency to overestimate the impervious surface distribution. Foundation item: Under the auspices of National Natural Science Foundation of China (No. 40701177)     

Extending self-organizing maps for supervised classification of remotely sensed data

An extended self-organizing map for supervised classification is proposed in this paper. Unlike other traditional SOMs, the model has an input layer, a Kohonen layer, and an output layer. The number of neurons in the input layer depends on the dimensionality of input patterns. The number of neurons in the output layer equals the number of the desired classes. The number of neurons in the Kohonen layer may be a few to several thousands, which depends on the complexity of classification problems and the classification precision. Each training sample is expressed by a pair of vectors ： an input vector and a class codebook vector. When a training sample is input into the model, Kohonen＇s competitive learning rule is applied to selecting the winning neuron from the Kohouen layer and the weight coefficients connecting all the neurons in the input layer with both the winning neuron and its neighbors in the Kohonen layer are modified to be closer to the input vector, and those connecting all the neurons around the winning neuron within a certain diameter in the Kohonen layer with all the neurons in the output layer are adjusted to be closer to the class codebook vector. If the number of training sam- ples is sufficiently large and the learning epochs iterate enough times, the model will be able to serve as a supervised classifier. The model has been tentatively applied to the supervised classification of multispectral remotely sensed data. The author compared the performances of the extended SOM and BPN in remotely sensed data classification. The investigation manifests that the extended SOM is feasible for supervised classification.     

青藏高原北缘公格尔山地区地形梯度的剖析

本文以青藏高原北缘西昆仑山脉的公格尔山地区为试验区域,基于SRTM-DEM数据,采用线状地形剖面和带状地形剖面的研究方法,对试验区从公格尔山顶到塔里木盆地的地形梯度进行了研究,并探讨了地形梯度与隆升过程之间的关系。研究结果表明:(1)线状地形剖面清晰直观,操作简单;带状剖面法能较好地反映区域的地形起伏状况。若将两种方法联合起来共同进行区域地形研究,则会获得更好效果。(2)从塔里木盆地到公格尔山顶,地形抬升共分3个梯度:分别是从海拔高度2 000m左右上升到约4 500m,从约4 500m上升到将近6 000m,从将近6000m上升到约7500m。地形抬升的不同梯度可能对应着公格尔山晚新生代地貌形成过程的不同隆升过程;而每个抬升梯度的拐点,则对应着不同隆升过程形成海拔高度的分界点。     

集合卡尔曼滤波在流域水文模型流量预报中的应用

针对流域降雨入渗过程,引入集合卡尔曼滤波(EnKF)理论,视整个边坡流域为一个随机动态系统,将边坡流域流量观测值作为系统的输出,用集合卡尔曼滤波模型来描述系统的状态;结合流域流量计算方法,实现水文模型参数的随机动态估计,在有效获得待估参数的同时还给出估计值的不确定性.通过数值算例表明,集合卡尔曼滤波可以有效地对含噪声的量测数据进行处理,能够跟踪水文模型的动态变化.相对于常用最优化算法,集合卡尔曼滤波同时给出反演结果和先验知识的后验分布,显示出更好的实时性和可靠性.     

二次土地调查汇总工作中应注意的几个问题

汇总,顾名思义,是对基础调查形成的各种成果进行汇集和总结,是形成最终成果的重要标志,是土地调查成果的全面体现.因此,汇总不是简单的叠加和统计,而是对各种、各类复杂工作的综合、协调和处理的过程.     

部分城市土地市场加速回暖引发思考

国家统计局数据显示,今年前三个月,全国土地购置面积同比下降40．1％,从4月开始,部分城市土地市场开始加速回暖。     

一种地震数据多串口采集方法

地震监测系统常常使用串口异步通讯监测数据、传输命令,但由于核心器件所带的串口数量不足,通常需要扩展串口。提出以TL16C754B为核心器件的多串口数据采集方法,包括具体的系统电路的设计方法和部分驱动的编程源代码。由于该设计具有成本低、稳定性高、低耗、抗干扰能力强、电路简单等优点,已被成功地运用于微动台阵观测仪器中。     

张家口GNSS基准站数据干扰因素分析及其前兆异常特征初探

从仪器运行环境、通信连通率、数据有效性、多路径效应等多个角度分析了张家口GNSS基准站存在的问题。与2015年、2016年相比,目前张家口基准站通信连通率主要受省局及国家地震局服务器中断影响,较以往市电中断即影响数据通信连通率有很大改善,数据有效性主要受基站周边大山遮挡影响,导致地平面附近卫星信号无法接收。在2018-02-12廊坊永清县M4.3级地震前,2016年张家口-隆尧、张家口-鹿泉基线发生转折,区域速度场、应力场、面膨胀率显示,该区域震前存在异常。目前GNSS异常在华北地区研究尚处于初步阶段,还需与其他监测手段相互验证才能更好服务于地震分析预报。