基于GIS的ATM业务管理原型系统设计与实现

针对目前ATM自动柜员机(以下简称ATM)业务管理的不足,提出运用GIS技术和计算机技术,设计并实现了ATM业务管理原型系统,将ATM主要业务集中到统一平台上。阐述了该系统的开发环境、功能模块设计和关键技术。实际使用表明,该系统能提供了ATM布点选址的调查、筛选与评估决策,并对其运营与维护进行有效管理。     

基于交通基础地理信息的网络发布研究与实现

近年来随着WebGIS技术的日趋成熟,采用WebGIS技术管理空间数据并进行网络发布,供用户快速查询与使用,实现空间信息的网络共享,为空间数据的充分利用和可视化表达提供了一种有效的解决方案。本文以北京市交通地理信息系统开发为例,探讨了交通基础地理信息的网络发布平台构架设计与实现过程,并针对系统关键技术的原理及实现进行了详细阐述,构建了以J2EE为核心,基于ArcIMS的空间信息服务框架体系,是WebGIS技术在交通领域的集成应用。     

甲基Funlioside B的合成

完成呋喃甾烷型甾体皂苷甲基Funlioside B的合成。在三氟化硼乙醚促进下,薯蓣皂苷元与乙酸酐反应以55%的产率得到3,16-二-氧-乙酰基-22-羟基-胆甾烷13。以三甲基硅基三氟甲磺酸酯为促进剂,化合物13与葡萄糖三氯亚胺酯给体11进行糖苷化反应以83%的产率得到单糖苷15。最后,在甲醇中,用氢氧化锂脱除酰基保护基团后并在无水甲醇中回流反应,以95%的产率得到甲基Funlioside B。     

山西陆面过程对A1B排放情景下全球变化趋势的响应

山西地处气候过渡带,气候敏感、生态脆弱,在全球气候变暖背景下其陆面物理过程受气候波动影响十分明显。本文利用NCAR CCSM IPCC AR4陆面分量模式(CLM)20世纪气候模拟(20C3M)和21世纪SRES A1B排放情景下的模拟结果,对山西省21世纪(2001~2099年)与20世纪(1901~1999年)陆面能量和水文变量进行了对比分析。结果显示:(1)模式模拟出山西地区未来地面温度的空间及时间分布特征。未来山西省地面温度呈明显上升趋势,上升速率冬季大于夏季。空间上,增温幅度冬季自北向南递减,夏季自西向东递减;(2)未来山西省陆面各分量空间上,净辐射通量西北增幅大于东南,降水率和径流率则与其相反,潜热通量与蒸发率一致,西南部增加幅度大,土壤含水率冬夏分布相反,感热通量呈下降趋势,西南下降幅度大;时间上,净辐射通量、潜热通量均表现出不同程度的上升趋势,土壤热通量冬季上升,夏季下降;地表水循环的各分量均呈增加趋势。     

FY-3B/VIRR海表温度算法改进及精度评估

该文介绍了卫星观测海表温度 (SST) 算法的发展历程,给出了所用SST算法的回归模型,并在FY-3B/VIRR业务SST算法的基础上进行了改进。基于NOAA-19/AVHRR匹配数据集,进行多算法建模分析及精度评估,白天最优算法为非线性SST (NL) 算法,夜间最优算法为三通道SST (TC) 算法,最优算法的确定与NESDIS/STAR一致。建立2012年8月—2013年3月FY-3B/VIRR匹配数据集,并在此基础上进行多算法回归建模及精度评估,白天和夜间的最优均为NL算法,分析发现夜间TC算法采用匹配数据集版本2(MDB_V2) 时,3.7 μm通道存在类似百叶窗的条带现象。以2012年10—12月FY-3B/VIRR匹配数据集计算回归系数,以2013年1—3月独立样本进行精度评估,与浮标SST相比,NL算法白天和夜间的均方根误差分别为0.41℃和0.43℃。与日平均最优插值海温 (OISST) 相比,NL算法白天和夜间的均方根误差分别为1.45℃和1.5℃; 选择与OISST偏差在2℃以内的样本,NL算法白天和夜间均方根误差分别为0.82℃和0.84℃。     

基于浏览器的气象再分析平台通用架构及组件设计

气象再分析在互联网中的应用还处于起步阶段,缺乏成熟的系统体系及开发标准。为降低开发人员开发气象再分析产品的难度,提升开发效率,同时避免开发人员误解气象用户需求,论文总结国家科技基础条件平台运行服务主系统功能完善项目的开发过程,基于经典的MVC三层模模型,提出面向气象领域的在线再分析平台通用架构,并将架构中数据过滤和数据显示封装为组件。工作以专业气象用户需求设计效果及习惯,以开发人员的开发模式开放配置接口,建立在线平台的开发基础。该成果用于洪水监测预警系统项目的需求分析,开发人员使用通用架构,再通过三步操作:匹配数据源、设计页面布局、配置组件,完成原型开发。以此优化系统架构过程,复用已有组件。     

全球30m分辨率多光谱影像数据自动化处理的实践与思考

全球地表覆盖遥感制图与关键技术研究项目要求对两个基准年度(2000年、2010年)全球30 m分辨率的多光谱遥感数据进行辐射处理和几何精纠正处理,为地表覆盖制图完成数据准备。数据以Landsat TM/ETM+为主,HJ-1A/B CCD数据为补充,共计2万多景影像需要进行辐射处理,有1000多景HJ-1A/B CCD影像需要几何精纠正。如此大规模的数据处理,自动化处理是必然的选择。本文介绍了HJ-1A/B CCD图像几何精纠正自动化实现中关键问题的解决方法和精度评价结果,Landsat TM/ETM+和HJ-1A/B CCD图像自动化辐射校正中关键问题的解决方法和精度评价结果,以及大规模的数据处理活动引发的一些思考。     

Assessing the effects of land use spatial structure on urban heat islands using HJ-1B remote sensing imagery in Wuhan,China

Urban heat islands (UHIs) have attracted attention around the world because they profoundly affect biological diversity and human life. Assessing the effects of the spatial structure of land use on UHIs is essential to better understanding and improving the ecological consequences of urbanization. This paper presents the radius fractal dimension to quantify the spatial variation of different land use types around the hot centers. By integrating remote sensing images from the newly launched HJ-1B satellite system, vegetation indexes, landscape metrics and fractal dimension, the effects of land use patterns on the urban thermal environment in Wuhan were comprehensively explored. The vegetation indexes and landscape metrics of the HJ-1B and other remote sensing satellites were compared and analyzed to validate the performance of the HJ-1B. The results have showed that land surface temperature (LST) is negatively related to only positive normalized difference vegetation index (NDVI) but to Fv across the entire range of values, which indicates that fractional vegetation (Fv) is an appropriate predictor of LST more than NDVI in forest areas. Furthermore, the mean LST is highly correlated with four class-based metrics and three landscape-based metrics, which suggests that the landscape composition and the spatial configuration both influence UHIs. All of them demonstrate that the HJ-1B satellite has a comparable capacity for UHI studies as other commonly used remote sensing satellites. The results of the fractal analysis show that the density of built-up areas sharply decreases from the hot centers to the edges of these areas, while the densities of water, forest and cropland increase. These relationships reveal that water, like forest and cropland, has a significant effect in mitigating UHIs in Wuhan due to its large spatial extent and homogeneous spatial distribution. These findings not only confirm the applicability and effectiveness of the HJ-1B satellite system for studying UHIs but also reveal the impacts of the spatial structure of land use on UHIs, which is helpful for improving the planning and management of the urban environment.     

The brightness reversal of submarine sand waves in “HJ-1A/B” CCD sun glitter images

The brightness reversal of submarine sand waves appearing in the small satellite constellation for environment and disaster monitoring and forecasting("HJ-1A/B") CCD sun glitter images can affect the observation and depth inversion of sand wave topography. The simulations of the normalized sun glitter radiance on the submarine sand waves confirm that the reversal would happen at a specific sensor viewing angle, defined as the critical angle. The difference between the calculated critical angle position and the reversal position in the image is about 1, which is excellent in agreement. Both the simulation and actual image show that sand wave crests would be indistinct at the reversal position, which may cause problems when using these sun glitter images to analyze spatial characteristics and migration of sand waves. When using the sun glitter image to obtain the depth inversion, one should take the advantage of image properties of sand waves and choose the location in between the reversal position and the brightest position. It is also necessary to pay attention to the brightness reversal when using "HJ-1A/B" CCD images to analyze other oceanic features, such as internal waves, oil slicks, eddies, and ship wakes.     

The Impacts of Climate Change on the Autumn North Atlantic Wave Climate

Abstract

In this study, we investigate the impact of global warming induced by possible climate change on the autumn winds, the related storm climate, and the wave climate over the North Atlantic Ocean. These analyses are based on a third-generation wave model, WAVEWATCHIII? and dynamically downscaled winds, obtained from the Canadian Regional Climate Model driven by the third version of the Coupled Global Climate Model (T47) from the Canadian Centre for Climate Modelling and Analysis following the A1B climate change scenario of the Special Report on Emission Scenarios from the Intergovernmental Panel on Climate Change. Compared with the present wave climate, represented as 1970–1999, the significant wave heights in the northeast North Atlantic will increase, whereas in other areas, such as the mid-latitudes, they will decrease, with associated changes in winds in the future climate (2040–2069). An analysis of inverse wave ages is used to suggest that wind-driven wave regimes tend to occur more frequently in the northeast North Atlantic and decrease in the mid-latitudes in the climate change scenario. The dominant North Atlantic storm-track region is estimated to shift northward, especially over the northern Northeast Atlantic, where the frequency of occurrence of the most intense cyclones is estimated to increase. We suggest that changes in storm densities are related to changes in the upper level steering flow in the atmosphere, which are the precursor to changes in the winds and ocean waves.