Characterizing landscape spatial heterogeneity in multisensor images with variogram models

Most evaluation of the consistency of multisensor images have focused on Normalized Difference Vegetation Index （NDVI） products for natural landscapes, often neglecting less vegetated urban landscapes. This gap has been filled through quantifying and evaluating spatial heterogeneity of urban and natural landscapes from QuickBird, Satellite pour l＇observation de la Terre （SPOT）, Ad- vanced Spacebome Thermal Emission and Reflection Radiometer （ASTER） and Landsat Thematic Mapper （TM） images with variogram analysis. Instead of a logarithmic relationship with pixel size observed in the corresponding aggregated images, the spatial variability decayed and the spatial structures decomposed more slowly and complexly with spatial resolution for real multisensor im- ages. As the spatial resolution increased, the proportion of spatial variability of the smaller spatial structure decreased quickly and only a larger spatial structure was observed at very coarse scales. Compared with visible band, greater spatial variability was observed in near infrared band for both densely and less densely vegetated landscapes. The influence of image size on spatial heterogeneity was highly dependent on whether the empirical sernivariogram reached its sill within the original image size. When the empirical semivariogram did not reach its sill at the original observation scale, spatial variability and mean characteristic length scale would increase with image size; otherwise they might decrease. This study could provide new insights into the knowledge of spatial heterogeneity in real multisen- sor images with consideration of their nominal spatial resolution, image size and spectral bands.     

Molecular analysis of the commercial deep-sea crabs Chaceon ramosae and Chaceon notialis (Brachyura,Geryonidae) reveals possible cryptic species in the South Atlantic

Deep-sea red crabs Chaceon ramosae and Chaceon notialis are commercially and ecologically important crustaceans in South Atlantic waters. With some overlapping occurring at the edge of the crabs’ distribution, the fisheries are managed separately in Brazil and Uruguay, with some differences in the regulations, although the stock is supposedly shared between the two countries. To assess genetic information on these two species, we examined the nucleotide sequence of the mitochondrial 16S rDNA and CO1 mtDNA genes in samples from the southern region. We also compared these data to sequences from other congeners. The genetic analysis revealed a clear separation between C. notialis and C. ramosae. In addition, we detected the existence of at least two different groups within the species that is currently recognized as C. notialis. This might indicate the existence of cryptic species, leading us to speculate about the presence of two different taxonomic entities, although further research is needed to resolve this issue.     

构造地理要素趋势面的尺度转换普适性方法探讨

当前的遥感科学面临着遥感数据获取能力与数据应用能力之间突出的供需矛盾。尺度问题作为遥感科学中的关键问题,既限制了遥感作为一门科学向系统性、普适性的发展,又限制了遥感应用能力的发展。本文对定量遥感中的尺度问题进行了梳理,包括:遥感与传统站点观测之间的不一致、不同尺度遥感产品之间的不一致、机理模型的尺度适用问题,以及遥感产品与用户需求时空尺度间的不一致。对遥感中的尺度转换方法展开了讨论,总结了尺度转换的关键问题在于原数据信息量不足时引入额外信息和保留关键信息两方面。提出了构造地理要素趋势面的基本构想,搭建了一个具有普适性的尺度转换方法框架。核心内容是充分利用地表环境要素时间、空间上的信息作为先验知识,通过关联遥感观测新信息和先验趋势面生成指定时空尺度的地表要素产品。     

2004年台风“艾利”与“米雷”路径异常变化分析

2004年西北太平洋上生成的台风"艾利"和"米雷"开始都是向西北方向移动,当快要进入东海时两个台风的路径均发生变化,"艾利"转向西南方向,形成倒抛物线形的路径,而"米雷"突然向东北方向转折。通过对这两个台风的不同时间尺度环境场及其与台风相互作用的分析表明,对于西南转向的"艾利",副热带高压(副高)西伸明显,台风位于副高的南侧,天气尺度风场对副高低频分量的涡度平流,使得台风西北侧出现负涡度,同时由于罗斯贝波能量频散,台风东南侧出现负涡度,与负涡度相联系的天气尺度异常环流导致台风西北侧和东南侧的天气尺度引导气流的作用相互抵消,台风主要在低频环流引导下向西南方向移动;对于突然向东北转向的"米雷",副高位置偏东,转向时刻只有东南侧增强的天气尺度西南风,天气尺度引导气流导致台风向东北转折。     

基于历史数据的黄海浒苔爆发规模预测

依据黄海浒苔初始覆盖面积及最大覆盖面积的历史数据,选取温度、光强、降水3种对于浒苔生长扩散最重要的影响因子,本文提出并建立了基于BP神经网络确定转换系数R的浒苔覆盖面积预测模型,可在浒苔出现初期即实现对本年度浒苔最大覆盖面积的模拟预测,并通过历史数据进行验证。结果表明,所预测的浒苔最大爆发情况与真实情况相符,研究成果可为浒苔的应急准备工作争取更多的时间提供一定参考。     

粗粒土大三轴试验研究综述

自然界中广泛分布粗粒土,其具有压实密度大、良好透水性、抗剪强度高、沉降变形小、不易产生地震液化等优良的工程特性,已被广泛运用于土石坝工程建设中。本文在阅读大量参考文献的基础上概括和总结了粗粒土大三轴试验研究进展情况,包括抗剪强度、变形特性、应力-应变关系特性、试验中的若干问题,并结合已有认识,提出了笔者一些自己的思考,指出了今后关于粗粒土的研究方向。     

The influence of large-scale circulations on the extremely inactive tropical cyclone activity in 2010 over the western North Pacific

This study attempts to understand why the frequency of tropical cyclones (TC) over the western North Pacific (WNP) was a record low during the 2010 season, by analyzing the effect of several large-scale factors. The genesis potential index (GPI) can represent, to some extent, the spatial distribution of formation in 2010. However, the GPI does not explain the extremely low TC frequency. No robust relationship between the TC number and El Niño Southern Oscillation (ENSO) was found. A comparison of the extreme inactive TC year 2010 and extreme active year 1994 was performed, based on the box difference index that can measure the quantitative difference of large-scale environmental factors. Dynamic factors were found to be important in differentiating TC formation over the WNP basin between 2010 and 1994. The remarkable difference of monsoon flows in the WNP basin between these two years may be the cause of the difference in TC formation. The unfavorable conditions for TC genesis in 2010 may have also been due to other large scale factors such as: (1) weak activity of the Madden-Julian Oscillation during the peak season; (2) warming of the sea surface temperature in the tropical Indian Ocean during the peak season, causing the development of an anticyclone over the WNP basin and associated with the westward motion of the monsoon trough, and (3) the phase change of the Pacific Decadal Oscillation (more negative) and the two strong La Niña events that have evolved since 2006.     

The critical scale of fluctuation for active lateral forces in spatially variable undrained clays

This study addresses the phenomenon of the critical scale of fluctuation (SOF) for active lateral force (P_a) in undrained clay when there is a spatial variability in the clay. The phenomenon is significant under shear strength (τ_f) random fields but is insignificant under unit weight (γ) random fields. It is found that the phenomenon of the critical SOF is connected to the nature of the spatial averaging, which is “line averaging” under τ_f random fields and is “area averaging” under γ random fields. The former averaging effect (line) is significantly weaker than the latter (area), so the tendency for the critical slip plane to seek for a favorable location is stronger for the τ_f random field than for the γ random field. Hence, the phenomenon of the critical SOF is more pronounced under τ_f random fields than under γ random fields. The underlying mechanisms for the phenomenon of the critical SOF will be explored in this paper.     

长三角创新产学合作与企业创新绩效:尺度与效应北大核心CSCDCSSCI

产学合作网络是长三角创新共同体建设的重要方面,而当前经济地理学相关研究集中在“本地/全球”二元尺度讨论上,缺乏多尺度产学合作效应的比较分析。基于IncoPat专利数据,本文从尺度和效应视角探讨了长三角创新产学合作与企业创新绩效的关系,得到以下结论:①长三角创新产学合作的空间格局呈现以省会城市为中心的星芒状结构,核心城市占据的网络优势地位能够助力其在网络中获取创新资源,并且高校资源的不均衡分布特征进一步巩固了省会城市的优势地位,使得长三角创新产学合作格局具有明显的路径依赖特征。②本省与长三角区域尺度创新产学合作对企业创新绩效的影响要显著高于其他尺度。从区域尺度客观看待高校在空间创新进程中的作用尤为重要。③长三角创新产学合作的平均距离与企业创新绩效间呈现显著的倒“U”型关系,并且工科院校产学合作的作用和极值点均要大于综合院校和其他院校。由此,本文提出以下建议:一方面应该加快推进以区域尺度创新产学合作为重点的产学合作体系建设;另一方面应当强化薄弱地区产学合作的多尺度耦合网络建设,着力提升薄弱地区的网络地位。     

顾及空间尺度效应的城市土地利用变化精细化模拟

城市土地利用变化模拟是优化土地资源配置的科学依据,提高其精细化程度和可靠性有助于准确把握城市用地发展趋势,对城市土地资源精准调控具有重要意义。基于宏观遥感分类的土地利用变化模拟,难以在街区尺度上揭示城市用地社会功能变化及精细化模拟中空间尺度效应来源和作用机理。本文联合遥感影像和POI数据识别出城市土地利用精细化特征,运用响应面法率定土地利用精细化模拟的最优空间尺度组合,在此基础上,利用CA-Markov模型开展了未来土地利用变化的精细化模拟。以武汉市中心城区为应用案例,研究结果表明：基于POI 的城市土地利用精细化识别方法,可以深度解析城市建设用地的社会功能,极大改善了传统基于遥感的土地覆被宏观解译效果;研究区土地利用变化元胞自动机精细化模拟的最优空间尺度组合是30 m元胞、7×7邻域以及冯诺依曼邻域类型,采用最优空间尺度组合能够提高土地利用变化精细化模拟的可靠性。响应面试验设计结果可有效识别精细化模拟过程中空间尺度效应的主要来源,并区分其对模拟精度的影响程度与正负效应;预计到2025年,研究区建设用地范围将继续向周边扩张,各类型用地之间互为交织,土地利用空间格局将呈更加破碎化趋势。