Climate change in news media across the globe: An automated analysis of issue attention and themes in climate change coverage in 10 countries (2006–2018)

Climate change poses a challenge to countries across the world, with news media being an important source of information on the issue. To understand how and how much news media cover climate change, this study compares coverage in ten countries from the Global North and the Global South between 2006 and 2018 (N = 71,674). Based on a panel analysis, we illustrate that news media attention varies across countries and is often associated with political, scientific, and (partly) societal focusing events. Based on an automated content analysis, we also find that news media do not only cover ecological changes or climate science, but that they focus predominantly on the societal dimension of climate change: They emphasize how humans are aware of, affected by, battle, or cause climate change. Overall, the study illustrates important differences between the Global North and the Global South. While countries from the Global North cover climate change more frequently, countries from the Global South focus more on its challenges and implications for society at large, i.e., the societal dimension of climate change.     

基于主成分分析和决策级融合的高光谱图像分类方法研究

为了评价主成分分析方法和决策级数据融合方法对高光谱图像地物分类结果的影响,作者利用各分类器和主成分分量的优势,提出了两组地物分类结果的决策级融合策略,利用8种常用监督分类方法对高光谱原始图像和PCA变换后不同分量组合图分类得到的结果进行决策级融合,并应用覆盖黄河入海口新老河道交界处的CHRIS/PROBA高光谱图像开展实验研究。结果表明:直接采用每类地物分类精度最高的、空穴和缝隙采用总体分类精度最高的融合策略,在综合考虑生产者精度和用户精度的情形下,仅使用最大似然法、支持向量机和人工神经网络3种分类方法,按照分类精度从高到低的顺序进行的融合分类效果最好,总体分类精度为87.82%。与8种监督分类方法中效果最好的最大似然法相比,精度提高了2.7个百分点,同时明显减少了错分现象,尤其是对于分布面积较小的翅碱蓬和柽柳,滩涂被误分为翅碱蓬、芦苇被误分为柽柳的现象大大降低。     

卡尔曼滤波器在卫星遥感影像大地校正中的应用

在卫星遥感图像的预处理中,通过系统校正可以基本上消除影像内部的变形误差。然而,整幅影像的大地定位误差仍然是很大的,甚至几百米至1公里的数量级。本文介绍利用少量的地面控制点,采用递归算法而不是批处理算法,大大地提高大地定位精度。在单幅影像处理中,可以重新对卫星的轨道参数与姿态参数进行估值,从而提高影像的大地定位精度。在一条轨道上连续的多幅影像中,可以预报下一幅影像的大地位置,从而对那些不具有地面控制点的影像的大地校正中,实现外推计算。文中介绍并推导了卡尔曼滤波器方程中的转移矩阵和测量矩阵的系数,并推荐用数值回归的办法求得其数值解。文中最后介绍模拟试验及算法计算结果,并讨论其优缺点。     

基于MICAPS 3核心的人影业务平台设计与开发

文章主要介绍了基于MICAPS 3.2系统框架的人工影响天气业务平台的设计与开发.首先介绍了MICAPS 3.2的主要功能、模块设计特点以及主要的系统接口情况.其次介绍了人工影响天气的工作流程、工作内容以及主要产品并指出不同类型的数据在该系统中的交互方法.最后,针对人影工作特点设计菜单和界面布局,完成系统开发设计,并展示了开发完成后人影业务主要产品的例子.     

中国科技资源配置效率测度及其时空格局演变特征(英文)

According to the connotation and structure of science and technology resources and some relevant data of more than 286 cities at prefecture level and above during 2001–2010, using modified method—Data Envelopment Analysis(DEA), science and technology(ST) resource allocation efficiency of different cities in different periods has been figured out, which, uncovers the distributional difference and change law of ST resource allocation efficiency from the time-space dimension. Based on that, this paper has analyzed and discussed the spatial distribution pattern and evolution trend of ST resource allocation efficiency in different cities by virtue of the Exploratory Spatial Data Analysis(ESDA). It turned out that:(1) the average of ST resource allocation efficiency in cities at prefecture level and above has always stayed at low levels, moreover, with repeated fluctuations between high and low, which shows a decreasing trend year by year. Besides, the gap between the East and the West is widening.(2) The asymmetrical distribution of ST resource allocation efficiency presents a spatial pattern of successively decreasing from Eastern China, Central China to Western China. The cities whose ST resource allocation efficiency are at higher level and high level take on a cluster distribution, which fits well with the 23 forming urban agglomerations in China.(3) The coupling degree between ST resource allocation efficiency and economic environment assumes a certain positive correlation, but not completely the same. The differentiation of ST resource allocation efficiency is common in regional development, whose existence and evolution are directly or indirectly influenced by and regarded as the reflection of many elements, such as geographical location, the natural endowment and environment of ST resources and so on.(4) In the perspective of the evolution of spatial structure, ST resource allocation efficiency of the cities at prefecture level and above shows a notable spatial autocorrelation, which in every period presents a positive correlation. The spatial distribution of ST resource allocation efficiency in neighboring cities seems to be similar in group, which tends to escalate stepwise. Meanwhile, the whole differentiation of geographical space has a diminishing tendency.(5) Viewed from LISA agglomeration map ofST resource allocation efficiency in different periods, four agglomeration types have changed differently in spatial location and the range of spatial agglomeration. And the continuity of ST resource allocation efficiency in geographical space is gradually increasing.     

湿地公园小品设计原则分析

湿地公园小品即指使用于栖息地保护的湿地场所,也能为人类提供某种活动方式,包含科普教育、自然风景观光、休闲散步和观鸟等内容的设施或建筑。它是湿地景观中的一种新的文化类型,其重要作用正日益被人们所认识。从生态保护、功能齐全、公众参与、人性化、文化传播、节能减材等方面分析了湿地公园小品的设计原则,为今后湿地公园小品的设计提供参考。     

1961-2012年夏季南亚高压与云南地区降水的关系

基于1961-2012年NCEP/NCAR月平均再分析资料和云南地区124个观测站月降水资料,利用相关分析法分析夏季南亚高压与云南地区降水的关系。结果表明：1961-2012年夏季滇西南地区降水与南亚高压主中心经度呈较显著负相关,滇南地区降水与南亚高压面积呈较显著负相关;6月滇西北和滇南地区降水与南亚高压脊线位置、高压主中心纬度呈显著正相关,滇西南地区降水与南亚高压主中心强度呈显著正相关,而与南亚高压主中心经度呈显著负相关,滇中地区降水与南亚高压主中心纬度呈显著正相关;7月滇西南、滇西北的西南部和滇西的北部地区降水与南亚高压脊线位置呈较显著正相关,滇西地区降水与南亚高压主中心强度呈较显著负相关,滇中和滇东地区降水与南亚高压主中心经度呈较显著负相关;8月滇西南、滇中、滇南和滇东地区降水与南亚高压面积呈显著负相关。     

苏北沿岸流对浒苔暴发及漂移过程的影响

根据2009年5月的温度、盐度和溶解氧观测数据,应用"对应分析法"对水团的分布范围和特性进行了分析,并探讨了苏北沿岸流对浒苔(Enteromorpha prolifera)暴发及漂移过程的影响。结果表明,春季苏北沿岸流向东南流动过程中,可以将海水中悬浮的浒苔繁殖体向南输运至长江冲淡水与苏北沿岸流交汇处,此处的浒苔繁殖体在适宜的条件下生长繁殖。在夏季风的作用下,长江口北部的浒苔与苏北沿岸海域的浒苔,随表层海流向北漂移,在地球偏转力作用下,漂移路径不断向右偏转,并最终在山东半岛南部海域聚集堆积。苏北沿岸流在浒苔暴发初期将繁殖体输送到条件适宜的生长区,并对浒苔向北漂移起到了重要作用。长江冲淡水向北扩展范围的增大对于浒苔的生长和繁殖起到了促进作用。查明浒苔扩散路径及输运机制不仅具有重要环境意义,而且对深入了解沿岸和河口区泥沙及污染物的扩散和输运机制具有指示作用。     

Novel Folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing

As a widely used approach for feature extraction and data reduction, Principal Components Analysis (PCA) suffers from high computational cost, large memory requirement and low efficacy in dealing with large dimensional datasets such as Hyperspectral Imaging (HSI). Consequently, a novel Folded-PCA is proposed, where the spectral vector is folded into a matrix to allow the covariance matrix to be determined more efficiently. With this matrix-based representation, both global and local structures are extracted to provide additional information for data classification. Moreover, both the computational cost and the memory requirement have been significantly reduced. Using Support Vector Machine (SVM) for classification on two well-known HSI datasets and one Synthetic Aperture Radar (SAR) dataset in remote sensing, quantitative results are generated for objective evaluations. Comprehensive results have indicated that the proposed Folded-PCA approach not only outperforms the conventional PCA but also the baseline approach where the whole feature sets are used.     

经验模态分解和独立分量分解在航磁数据处理中的应用

以东天山1∶20万航磁数据为例,利用经验模态分解(EMD)方法对航磁数据进行分解,然后利用独立分量分析(ICA)方法对分解出的固有模态函数(IMF)数据进行重构。分解出来的从高频到低频IMF与地质体的分布具有一定的相关性,不同频率的IMF代表了一定的地质意义。经过ICA重构后的独立分量(IC)能够对异常IMF函数从盲源分离的角度进行有效的重构,其结果可以在一定程度上解释不同的地质事件对磁异常的贡献,并对构造识别和构造区域划分具有一定的指示意义。