一种基于微博语义的天气情感地图设计

天气情感地图是一种表达情感相关的专题地图。本文提出了一种基于微博语义的天气情感地图设计方法,基于程序获取了合肥市区2016年6月20日至2016年7月10日暴雨期间带有地理位置的新浪微博数据,通过数据清洗及标准化处理,利用情感词库,结合人工判读,将暴雨天气过程相关情感微博文本数据分为8种情感类别,设计了8种情感着色,结合GIS格网技术与核密度分析方法,制成暴雨天气过程前、中后期情感地图,并分析了暴雨天气过程3个阶段中微博用户多维情感变化。该研究可为政府相关部门在突发性天气灾害过程中制定救助与决策提供参考。     

汶川地震震前龙门山区域地壳密度动态变化分析

利用龙门山区域重力网经平差处理和去基准点干扰、去高程变化影响的1997-2007年11期重复重力观测数据,借助密度的三维反演方法,分析研究了龙门山地区地壳各深度的介质密度的动态变化特征。结果显示：汶川8.0级地震孕育发生过程中区域密度场的整体时空分布均表现出显著特征,从时间进程来看,震前十年的密度变化趋势呈现阶段性变化：密度变化平稳阶段—变化剧烈阶段（加速增加—缓慢减少）—变化缓慢减少阶段—密度变化缓慢增加阶段,密度变化程度由强到弱,表明大地震孕育达到了最后阶段;从空间分布来看,密度变化分布有“分散—相对集中”的趋势,震前地下密度场具有熵值减小的现象;密度变化剧烈地方多发生在龙门山断裂带及其以西的川西高原上。此外,随深度的增加,密度变化趋势越来越明显。通过比较分析,在汶川地震前密度变化对重力的影响远远超过高程变化对重力的影响。     

Decumbent development: Urban sprawl in the Guwahati Metropolitan Area,India

Urban sprawl has become a global phenomenon as an outcome of growing population and rapid urbanization. Previous studies have addressed the rising incidence of uncontrollable urban development, particularly in peri-urban areas of cities, leading to chronic urban sprawl. The city of Guwahati, a million city in north east India, has expanded significantly in recent years. In this article, the links between population and growth of built-up areas were examined using geo-spatial techniques and remotely sensed datasets. The results indicate that the sprawl has accentuated in recent years. The intensity of land use remained uneven due to marked variations in the distribution of built-up areas, plausibly an outcome of unplanned urban growth. If current trends are anything to go by, future urban sprawl could pose serious threats to the vulnerable eco-sensitive and peri-urban areas of Guwahati. Secondary cities have unfortunately received scant attention in urban policy research, and Guwahati, epitomizes urban woes in a developing country.     

短时强降水临近预报的思路和方法

使用浙江省69个基准站2006—2015年5—9月以及同期杭州城区58个区域自动站小时降水资料,利用Gamma分布计算浙江省短时强降水的累积概率,同时综合其频率分布,揭示杭州市小时降水强度的分布特征。此外,以杭州市区为例,利用探空资料分析不同量级(≥50 mm·h^-1、30~＜50 mm·h^-1、20~＜30 mm·h^-1、＜20 mm·h^-1)小时雨强出现的环境指标,并基于核密度估计方法提取预报指标。结果表明:杭州城区出现小于等于10 mm·h^-1的降水概率高达98.4%,≥20 mm·h^-1的概率仅0.05%;受杭州湾偏东气流影响,杭州市区发生短时强降水频率相对较高,尤其是余杭区的东部和西北山区;自2008年以来杭州市区每年短时强降水日数为18~28 d,其中大于等于50 mm·h^-1的短时强降水日所占比例高达10%~20% (除2009年和2012年低于10%外);可用于预报杭州市区短时强降水的最佳环境因子依次为整层可降水量、K指数、最佳抬升指数、沙氏指数、925 hPa露点温度和强天气威胁指数;在判断杭州市区短时强降水强度上表现最好的环境因子为整层可降水量,其次是850 hPa垂直速度和925 hPa散度。

     

川滇地区重力异常的小波分解与解释

利用小波变换方法对四川云南及周围地区的布格重力异常进行分解. 在计算中选用具有正交完备性并有较好对称性及较高消失矩的小波函数把重力异常分解为两部分. 用功率谱方法对分解后异常进行分析,可知其分别表示地壳内部和更深部的密度变化. 两部分异常显示出川滇地区深部与浅部的构造差异. 浅层重力异常的密度填图表明：① 四川盆地地壳密度较高,松潘——甘孜造山带密度较低;② 康滇菱形块体的密度是不均匀的;③ 康滇菱形块体的边界断裂具有不同的密度特征,显示出不同的构造性质. 深部重力异常的密度填图显示出与浅部相似而又不同的密度分布特征,表明川滇地区浅部与深部构造作用有所不同,两者之间可能是不完全解耦关系. 本文结果还表明,地震分布不仅受断裂构造控制,也与深部密度变化有关.     

基于Hv方法的三轴液压振动系统频响函数估计的研究

三轴液压振动系统是实验室内模拟振动环境的主要设备,其主要功能是精确地复现给定的功率谱和时间历程。振动控制技术是实现这一目标的关键技术,它以频响函数估计为基础。频响函数估计的精度影响控制过程的快速性和稳定性。本文对几种典型的频响函数估计方法进行了分析,针对传统方法精度低且受到矩阵病态条件约束等缺点,应用特征分析与摄动理论构造了一种多入多出的Hv方法,并且应用三轴液压振动系统的实测数据对其进行了检验。结果表明该方法是适用的。     

Aliasing due to sampling of the Adriatic temperature, salinity and density in space

High-resolution underway temperature and conductivity measurements collected by R/V Knorr during winter and spring 2003 are used to characterize errors associated with spatial aliasing in the northern and central Adriatic Sea. During winter, 99th percentile temperature, salinity and density errors were 0.62 °C, 0.25 and 0.12 kg/m³ (0.25 °C, 0.10 and 0.05 kg/m³) for sampling at 10 km (5 km) horizontal resolution, respectively. The corresponding values in spring were 1.31 °C, 0.50 and 0.40 kg/m³ (0.93 °C, 0.25 and 0.22 kg/m³) for the 10 km (5 km) sample spacing, respectively. The largest errors were associated with energetic regions over the shallow, western Adriatic, in front of the Po River mouth and off the tip of the Istrian peninsula. The deeper eastern basin exhibited smaller errors. The variability of errors in time and space reflected the variability of small-scale density features, characterized by wavelengths as small as 2 km in winter and 1 km in spring and being more pronounced in the western and northern parts of the Adriatic. As these results indicate that errors associated with undersampling can be considerable, they should be taken into account while planning future CTD measurements in the region.     

A multi‐stock,length‐based assessment model for New Zealand rock lobster (Jasus Edwardsii)

We describe a multi‐stock, length‐based Bayesian assessment model for New Zealand spiny lobster (Jasus edwardsii) fisheries. This model allows simultaneous modelling of two or more stocks with a mixture of common and stock‐specific parameters: recruitment is always stock‐specific, but any other parameter can be specified as either common or stock‐specific. Common parameters are estimated from a wider base than they would be in a single‐stock model. The model's time step is flexible and can be changed during the period being modelled to accommodate better data quality in recent data. Other options include the capacity to estimate movements among stocks, allow density‐dependent growth, and choose among likelihood functions for the various data sets, between finite and instantaneous fishing dynamics and between two forms of selectivity curve.     

Using Kolmogorov-Smirnov Statistics to Compare Geostrophic Velocities Measured by the Jason,TOPEX, and Poseidon Altimeters

The Kolmogorov-Smirnov (K-S) test is used to compare probability density functions (PDFs) of geostrophic velocities measured by the TOPEX, Poseidon, and Jason altimeters. Velocity PDFs are computed in 2.5° by 2.5° boxes for regions equatorward of 60° latitude. Although velocities measured by the TOPEX and Jason altimeters can differ, on the basis of the K-S test the velocities are statistically equivalent during the ～200 day period when the satellites followed the same orbit. Full records from TOPEX, Poseidon, and Jason show less agreement, which can be attributed to temporal variability in ocean surface velocities and differing levels of measurement noise.