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我国西部1:50000地图新产品设计与表达技术

西部测图工程以"丰富产品种类,拓展服务领域"为设计宗旨,力求地图新产品开发,在传统4D产品的基础上,根据西部地物地貌特征补充了地形图要素内容,开发研制了影像地图、晕渲地形图新产品。本文针对原有地形图在表达西部地物地貌特征方面的不足,介绍了西部测图工程中地图新产品的内容设计与制图表达,包括地形图要素扩充内容与制图表达、影像地图产品内容设计与制图表达、晕渲地形图产品内容设计与制图表达等技术内容。地图新产品设计与表达技术已应用在西部测图中,指导生产了我国西部首批1:50000地形图、影像地图和晕渲地形图产品,丰富了我国基本比例尺地形图产品种类。     

Extracting the subsonic anti-symmetric lamb wave from a submerged thin spherical shell backscattering through iterative time reversal

The extraction of the weakly excited anti-symmetric Lamb wave from a submerged thin spherical shell backscattering is very difficult if the carrier frequency of the incident short tone burst is not at its frequency of greatest enhancement. Based on a single channel iterative time reversal technique, a method for isolating the subsonic anti-symmetric Lamb wave is proposed in this paper. The approach does not depend on the form function of a thin shell and any other priori knowledge, and it is also robust in the presence of some stochastic noise. Both theoretical and numerical results show that the subsonic anti-symmetric Lamb wave can be identified, even when the carrier frequency of the incident short tone burst is away from the frequency of greatest enhancement. The phenomenon may also be observed even in the case that the subsonic anti-symmetric Lamb wave is submerged in the noise, other than the case with the Signal to Noise Ratio being less than 10 dB, when the amplitude of the noise is comparable with the specular wave. In this paper, each iteration process contains a traditional transmission and time reversal transmission steps. The two steps can automatically compensate the time delay of the subsonic anti-symmetric Lamb wave relative to the specular wave and within-mode dispersion in the forward wave propagation.     

镇江雷暴气候特征及天气学预报方法分析

雷暴是严重的气象灾害之一,给人民生命财产带来严重影响。雷暴的发生发展地域性强,因此加强镇江本地雷暴特征的研究和预警工作十分必要。利用镇江市1959--2010年的雷暴气候资料,通过气候倾向率、小波分析等统计方法,对其周期性、时空分布特征及年（代）际、季节变化特征等进行了分析,得出以下结论：1）镇江市雷暴呈现出市区少、周边地区多的特点,其中句容雷暴发生频率最多且持续时间长。2）镇江市平均雷暴日数存在4a、6a、10～12a左右、准20a的长周期振荡信号。从长周期分析,镇江市近几年的年平均雷暴日数处于偏多周期时段。3）年平均雷暴日数距平,20世纪60年代、70年代、21世纪的00年代是正距平,特别是2006--2010年连续5a的平均雷暴日数都大于气候值,是雷暴频发时期;80年代、90年代为负距平。1963年的雷暴日数最多,有53．3天;1979年的最少,为15天。通过对1999--2008年镇江市地面观测资料的194个雷暴天气过程个例进行统计分析,对影响镇江市的雷暴天气系统进行了分型,在此基础上提出了预报镇江市雷暴天气的思路,为开展雷暴预报预警业务提供理论依据。     

基于潮沟定点观测的潮间带水、沙、盐交换研究

为研究潮间带和潮下带的水、沙、盐交换,于2006年6月25~28日（夏季大潮）和2006年12月29日~2007年1月4日（冬季中-大潮和小潮）在长江口九段沙一典型潮沟的固定点利用OBS-3A和ADP-XR进行了水深、浊度、盐度、流速流向剖面和回声强度观测。结果和结论为：（1）夏季大潮、冬季中-大潮、冬季小潮的潮周期垂向平均流速分别为26.5、15.9和8.4 cm/s,夏、冬季观测到的最大流速分别为84 cm/s和35 cm/s。（2）夏季盐度变化范围为0.65~4.91,平均盐度2.14;冬季盐度变化范围为3.5~10.3,中-大潮和小潮平均盐度分别为6.26和7.98。（3）高悬沙浓度出现在涨潮初期和部分落潮末期的低水位阶段;涨潮阶段的平均悬沙浓度是落潮阶段的1.11~7.0倍。（4）涨、落潮阶段的水体和盐输运量大体上趋于平衡;（5）无论是冬夏季或大小潮,潮沟在潮周期内的净输沙方向均指向陆,即落潮输沙量小于涨潮输沙量（平均小40%）;平均每个潮周期的净输沙量为6102 kg,结合潮盆面积推算的潮周期沉积速率为0.0112 mm/tide,或8.2 mm/a。     

广西大气能见度气候特征分析

对1980至2012年广西85个县市能见度资料进行统计分析得出：广西主要城市及其周边地区能见度较低,边远山区及边境地区较高,呈现东部低、西部高的特点;广西近32a能见度年均值在14.4至18.2km之间,总体呈下降趋势.一年之中,能见度夏季高、冬季低,汛期能见度明显好于非汛期;能见度与气象要素的相关分析表明,能见度与温度、风速成正比,与压强、降水、湿度成反比.     

海岛礁光学和雷达影像基于改进非子采样小波变换的自动配准

Homologous feature point extraction is a key problem in the optical and synthetic aperture radar （SAR） image registration for islands. A new feature point extraction method using a threshold shrink operator and non-subsampled wavelet transform （TSO-NSWT） for optical and SAR image registration was proposed. Moreover, the matching for this proposed feature was different from the traditional feature matching strategies and was performed using a similarity measure computed from neighborhood circles in low-frequency bands. Then, a number of reliably matched couples with even distributions were obtained, which assured the accuracy of the registration. Application of the proposed algorithm to SPOT-5 （multi-spectral） and YG-1 （SAR） images showed that a large number of accurately matched couples could be identified. Additionally, both of the root mean square error （RMSE） patterns of the registration parameters computed based on the TSO-NSWT algorithm and traditional NSWT algorithm were analyzed and compared, which further demonstrated the effectiveness of the proposed algorithm. The algorithm can supply the crucial step for island image registration and island recognition.     

基于阈值区间的海洋锋面提取模型

A model （Bayesian oceanic front detection, BOFD） of sea surface temperature （SST） front detection in satel- lite-derived SST images based on a threshold interval is presented, to be used in different applications such as climatic and environmental studies or fisheries. The model first computes the SST gradient by using a Sobel algorithm template. On the basis of the gradient value, the threshold interval is determined by a gradi- ent cumulative histogram. According to this threshold interval, front candidates can be acquired and prior probability and likelihood can be calculated. Whether or not the candidates are front points can be deter- mined by using the Bayesian decision theory. The model is evaluated on the Advanced Very High-Resolution Radiometer images of part of the Kuroshio front region. Results are compared with those obtained by using several SST front detection methods proposed in the literature. This comparison shows that the BOFD not only suppresses noise and small-scale fronts, but also retains continuous fronts.     

基于卫星高度计的北极海冰厚度变化研究

A modified algorithm taking into account the first year(FY) and multiyear(MY) ice densities is used to derive a sea ice thickness from freeboard measurements acquired by satellite altimetry ICESat(2003–2008). Estimates agree with various independent in situ measurements within 0.21 m. Both the fall and winter campaigns see a dramatic extent retreat of thicker MY ice that survives at least one summer melting season. There were strong seasonal and interannual variabilities with regard to the mean thickness. Seasonal increases of 0.53 m for FY the ice and 0.29 m for the MY ice between the autumn and the winter ICESat campaigns, roughly 4–5 month separation, were found. Interannually, the significant MY ice thickness declines over the consecutive four ICESat winter campaigns(2005–2008) leads to a pronounced thickness drop of 0.8 m in MY sea ice zones. No clear trend was identified from the averaged thickness of thinner, FY ice that emerges in autumn and winter and melts in summer. Uncertainty estimates for our calculated thickness, caused by the standard deviations of multiple input parameters including freeboard, ice density, snow density, snow depth, show large errors more than 0.5 m in thicker MY ice zones and relatively small standard deviations under 0.5 m elsewhere. Moreover, a sensitivity analysis is implemented to determine the separate impact on the thickness estimate in the dependence of an individual input variable as mentioned above. The results show systematic bias of the estimated ice thickness appears to be mainly caused by the variations of freeboard as well as the ice density whereas the snow density and depth brings about relatively insignificant errors.