被动微波遥感估算雪水当量研究进展与展望

被动微波遥感可以透过云层，全天候地提供地表一定深度的信息。星载被动微波遥感传感器的时间分辨率很高，在冰冻圈动态研究中有着重要的地位。在最近的二三十年中，大量被动微波遥感的应用都是在美国、加拿大、欧洲等地，而我国在这方面的研究相对较少。首先介绍了被动微波遥感数据在监测积雪方面的国内外研究进展，对现存的雪水当量（SWE）估算算法（和模型）的适用性进行讨论。然后，详细讨论了我国西部的青藏高原地区雪水当量的估算，阐明了利用SSM／I数据估算青藏高原地区雪水当量的复杂性，并指出了其复杂性产生的原因，提出了解决问题的方法，为该地区积雪动态的进一步研究提供了理论依据。     

应用6S模式对EOS-MODIS可见光到中红外波段的大气订正

应用6S辐射传输模式对MODIS可见光到中红外波段的反射率进行大气订正，订正过程分两步进行:首先设定地表为朗伯体，再应用二向反射模型BRDF进行订正，订正结果与美国MODIS研究组应用MAS实验结果进行比较表明，两者变化趋势是一致的；经过臭氧、水汽、气溶胶等散射吸收订正，对于一定范围的反射率，大气订正使植被区红光波段反射率ρ₁降低、近红外波段反射率ρ₂增加，蓝光波段反射率ρ₃降低；大气订正后，归一化植被指数I_NDV较大气订正前有所增加，增加的最大值为0.104，抗土壤-大气植被指数IEV值略有减小，减小的最大值为0.005。     

青蛤(Cyclina sinensis) TRAF6基因克隆及其在Poly I:C胁迫下的免疫应答

对青蛤(Cyclina sinensis)转录组文库筛选并克隆得到青蛤TRAF6(Cs TRAF6)基因的c DNA序列,其开放阅读框为2337bp,编码778个氨基酸,分子量为86.59k Da。Cs TRAF6蛋白包含RING型锌指结构,两个TRAF型锌指结构,coiled-coil结构域以及MATH结构域。经生物信息学及分子系统学分析表明Cs TRAF6属于TRAF6家族的一员。利用实时荧光定量PCR方法检测了Cs TRAF6基因在青蛤各个组织以及在Poly I:C侵染下在血淋巴中的时序性表达情况。结果表明,Cs TRAF6基因在青蛤血淋巴、闭壳肌、鳃、性腺、外套膜和肝脏中普遍表达,其中在血淋巴中的表达水平最高。在Poly I:C刺激后的3h,青蛤血淋巴中Cs TRAF6的表达量迅速升高,在6h达到最大值,说明青蛤的Cs TRAF6基因参与了病毒类似物侵染下的免疫应答反应。     

SNOW WETNESS ESTIMATES OF VEGETATED TERRAIN FROM SATELLITE PASSIVE MICROWAVE DATA

The Special Sensor Microwave/Imager (SSM/I) radiometer is a useful tool for monitoring snow wetness on a large scale because water content has a significant effect on the microwave emissions at the snowpack surface. To date, SSM/I snow wetness algorithms, based on statistical regression analysis, have been developed only for specific regions. Inadequate ground-based snow wetness measurements and the non-linearity between SSM/I brightness temperatures (T_Bs) and snow wetness over varied vegetation covered terrain has impeded the development of a general model. In this study, we used a previously developed linear relationship between snowpack surface wetness (% by volume) and concurrent air temperature (°C) to estimate the snow wetness at ground weather stations. The snow condition (snow free, dry, wet or refrozen snow) of each SSM/I pixel (a 37 × 29 km area at 37.0 GHz) was determined from ground-measured weather data and the T_B signature. SSM/I T_Bs of wet snow were then linked with the snow wetness estimates as an input/output relationship. A single-hidden-layer back-propagation (backprop) artificial neural network (ANN) was designed to learn the relationships. After training, the snow wetness values estimated by the ANN were compared with those derived by regression models. Results show that the ANN performed better than the existing regression models in estimating snow wetness from SSM/I data over terrain with different amounts of vegetation cover.     

Examining the Relationship Between Spatial Configurations of Urban Impervious Surfaces and Land Surface Temperature

The urban heat island(UHI) effect has significant effects on the quality of life and public health. Numerous studies have addressed the relationship between UHI and the increase in urban impervious surface area(ISA), but few of them have considered the impact of the spatial configuration of ISA on UHI. Land surface temperature(LST) may be affected not only by urban land cover, but also by neighboring land cover. The aim of this research was to investigate the effects of the abundance and spatial association of ISAs on LST. Taking Harbin City, China as an example, the impact of ISA spatial association on LST measurements was examined. The abundance of ISAs and the LST measurements were derived from Landsat Thematic Mapper(TM) imagery of 2000 and 2010, and the spatial association patterns of ISAs were calculated using the local Moran’s I index. The impacts of ISA abundance and spatial association on LST were examined using correlation analysis. The results suggested that LST has significant positive associations with both ISA abundance and the Moran’s I index of ISAs, indicating that both the abundance and spatial clustering of ISAs contribute to elevated values of LST. It was also found that LST is positively associated with clustering of high-ISA-percentage areas(i.e.,>50%) and negatively associated with clustering of low-ISA-percentage areas(i.e.,<25%). The results suggest that, in addition to the abundance of ISAs,their spatial association has a significant effect on UHIs.     

中国上市公司的时空变化及机制研究

针对在中国地区发展不均衡的态势下,上市公司分布格局时空演变问题,该文对2009-2017年中国大陆各省上市公司的数量和总资产采用Local Moran’s I指数与Getis-Ord Gi*统计量进行研究,分析了中国大陆上市公司的空间分布格局和时间演变趋势,总结出中国上市公司相关指标的高值聚集和高低聚集分布格局、热点区域及其经济辐射能力。并且以北京、上海和广东为热点区域典型代表,从上市公司产业结构和区域经济发展两方面对时空变化机制的成因进行深入探讨。     

冬季和春季长江口及其近海水域浮游病毒丰度的分析

采用荧光显微技术,对2006年长江口及近海水域20个站点的表层及10m层或潜水体冬、春两季的浮游病毒丰度进行了检测,对浮游病毒丰度在季节（冬、春两季）、水平分布和垂直分布上的变化进行了探讨.调查区浮游病毒丰度在冬、春季节上并无明显差异,但在水平分布上存在很大差异,河口区浮游病毒直接检测量（Virus Direct Count, VDC）达到10^7个/ml,近海水域VDC为10^6个/ml,河口区的浮游病毒丰度都明显高于近海水域病毒丰度 （P＜0.01）.在垂直分布上,冬、春两季长江口水域水深小于10m的站位,表层浮游病毒丰度与底层病毒丰度无明显差别,水深大于10m的站位,表层水样的浮游病毒丰度都高于10m水层病毒丰度,说明长江口浮游病毒的垂直分布与站位总水深有关.还通过比较各站点VDC与叶绿素a含量的数据,分析了二者之间的相关性：冬季浮游病毒丰度与叶绿素a含量成正相关性;春季浮游病毒丰度与叶绿素a含量成负相关性,但病毒丰度受叶绿素a含量的影响仅为10%-11%.     

半参数估计与LS估计的有效性比较

建立半参数回归模型,将系统误差加入,推导出了模型正则化矩阵时参数平差的计算方法,并用直接法得到了参数、非参数的估计量,在MSE准则下与最小二乘估值(简称LS估值)进行比较,证明了半参数估值的有效性。     

Monitoring regional sea ice of the Bohai Sea by SSM/I scattering index

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基于空间公平理论的公共交通服务评价——以深圳市为例

使用空间无关的公平性衡量指数评价公交服务时,会忽视公交服务需求与供给的空间分布特征.为解决此问题,论文提出基于空间公平理论的公交服务评价框架,即通过构建综合基尼系数与莫兰指数的空间公平评价方法,实现整体尺度公交服务评价;通过对分析单元上相对需求与相对供给变量的匹配关系、空间差距进行分析,实现局部尺度公交服务评价,对整体...