长江流域雨情监测分析系统及其关键技术

介绍长江流域雨情监测分析系统的总体设计与关键技术实现。系统利用新一代气象通信系统及现代信息存储技术,实现了长江流域12个省(市)气象部门的703个国家级自动气象站、12000余个区域级自动站等资料的实时收集、监控、质量控制、存储及共享,满足了流域雨情资料实时监测、分析业务的高时效性、高质量性的应用需求;利用长江流域气象历史和实时资料,实现了长江流域及其子流域日、月、季、年等固定时间尺度及任意时段的雨情监测,并利用物理统计方法,提炼出长江流域不同年代不同季节的降水空间分布;采用基于Flex的WebGIS框架设计,实现了人机交互实时分析,满足了在多用户并发条件下高密度自动站数据的快速响应。该系统的建成为三峡梯调中心提供了一个集气象信息收集、整理、加工分析、基于WebGIS展示分析产品等功能为一体的业务应用系统,为长江三峡水利枢纽综合调度和上游水资源开发利用提供气象服务技术支撑。     

无人机三维模型在矿山环境治理勘查设计中的应用

随着科技的进步、无人机航空摄影技术普及,基于无人机航空摄影技术形成的三维模型具有可视、形象、带有地理坐标信息及高程信息,在矿山勘查设计工作中应用前景广阔,可以取代部分野外调查及数据核实工作.具体表现在以下几方面:通过将制作好的地形数据导入三维模型验证地形图的准确性;结合三维模型的可视化直接在三维模型上圈定各种地质单元作...     

机载测雨雷达两种反演方法的优化和综合利用的模拟研究

由于机载雷达的天线不能做得太大,如果想获得一个较好的束向分辨率,就不得不使用X波段的频率,而该波段的电磁波穿过雨区时会受到衰减,直接利用视反射率进行降水反演就会产生很大的误差,因此,衰减效应必须进行校正。两种降水反演方法——立体雷达方法和双束算法,在实际的反演中各有优缺点。立体雷达方法对边界条件要求高,而双束算法在雨团中心雨强大处会有较大的误差。引入权重因子后的立体雷达方法－双束算法(综合算法)能充分发挥两种方法的优点,从而更具适用性和准确性。     

IKONOS影像生产1∶10 000地理信息产品的研究

简要介绍了IKONOS卫星遥感影像适用于地理信息产品生产的特点,然后通过试验生产,并与传统的航片相比较,详细分析了利用IKONOS影像作为数据源生产1∶10000基础信息产品在精度、生产流程、工作效率、生产周期、外业工作量和价格等方面的情况。     

大比例尺全野外数字化测图

全野外数字化测图的基本思想是将野外采集的各种有关地物和地貌信息转化为数字形式,通过数据接口传输给计算机进行处理,得到内容丰富的电子地图,需要时由电子计算机的图形输出设备(如显示器、绘图仪)绘出地形图或各种专题地图。     

Win全站仪的历史与影响

介绍W in全站仪的发展历史,同时探讨其对市场各方面的影响。     

西藏拉萨地块的乐平统及其古地理意义

西藏拉萨地块乐平统以海相与陆相沉积并存为特征。海相乐平统含复体珊瑚Waagenophyllum、■类Reichelina和有孔虫Colaniella。陆相乐平统含两类植物群,一类发育于措勤盆地中北部地区,为舌羊齿植物群分子Glossopteris、Noeggerathiopsis、Phyllotheca和华夏植物群分子Pecopteris、Sphenopteris共生的混生植物群;另一类主要发现于改则县下岗江和昂仁县贡久布地区,以Lepidophylloides、Paracalamites、Pecopteris等华夏植物群分子为主。根据沉积层序分析,拉萨地块乐平世时表现为整体上升。藏南喜马拉雅特提斯带的乐平统以产有冈瓦纳型Glossopteris植物群、冷水型单体珊瑚Cyathaxonia和腕足动物群为特征,并且从曲布组到曲布日嘎组表现为海进的沉积序列。拉萨地块和喜马拉雅特提斯带乐平世在植物群、动物群以及沉积层序方面存在着本质的差别,因此,拉萨地块在晚二叠世已基本脱离位于冈瓦纳大陆北缘的喜马拉雅特提斯带。     

Reverse-Time Migration of Converted S-Waves of Varying Densities

Ocean-Bottom Node(OBN) acquisitions provide both non-converted and converted reflection energy. There is a clear advantage to independently imaging both P-and S-waves, as they provide more information collectively than either does alone. In many conventional converted-wave pre-stack migration algorithms, density is treated as a constant, which is not the real-life case on earth. S-wave velocity and density information is crucial for hydrocarbon detection because it helps in the identification of porefilling fluids. In this paper, we focused on the effect of density on imaging, and developed a method of reverse-time migration(RTM) on converted s-waves of varying densities(VD-RTMCS). Phase correction was required prior to pre-stack migration to avoid constructive interference between data from adjacent sources. Synthetic data examples showed that when density variations were included, image profiles showed advantages in signal-to-noise ratio, vertical resolution and imaging of complex structures.     

Different provenance of separate loess sites in Yangtze River Basin and its paleoenvironmental implications

The dust deposits in the Yangtze River Basin(YRB) have been widely distributed along the Yangtze River valley. Previous studies mainly concentrated in its provenance of each loess site,however, the differences in provenance of loess among different sites in this area have rarely been studied. Here, the geochemical characteristics of the20 μm fraction in the loess in separate Jiujiang,Xuancheng and Nanjing sites were analyzed. The result shows that the loess in Jiujiang and Nanjing sites, near Yangtze River riverway, share similar geochemical characteristics that may commonly derived from the detrital materials of Yangtze River.However, both sites have significantly different elemental compositions compared with Xuancheng site, which is ～60 km away from the Yangtze River riverway. These sites share different geochemical characteristics with Eastern Qinling Mountains and Xifeng section on the Chinese Loess Plateau, North China. Combining the distribution of the aeolian sand hills and the loess in this area published by previous studies, we suggest that the exposed river valley floodplain caused by weak summer monsoon provided abundant materials to form local dust cells controlled by strong winter monsoon during the glacial periods. Therefore, those local loess deposits should be identified as the "valley-sourced loess".These reveal the inherent connection between the monsoon system and the loess deposits in Yangtze River Basin.     

Evaluation of the integrated multi-satellite retrievals for global precipitation measurement over the Tibetan Plateau

The availability of high-resolution satellite precipitation measurement products provides an opportunity to monitor precipitation over large and complex terrain and thus accurately evaluate the climatic, hydrological and ecological conditions in those regions. The Global Precipitation Measurement(GPM) mission is an important new program designed for global satellite precipitation estimation, but little information has been reported on the applicability of the GPM’s products for the Tibetan Plateau(TP). The object of this study is to evaluate the accuracy of the Integrated Multi-Satellite Retrievals for GPM(IMERG) Final Run product under different terrain and climate conditions over the TP by using 78 ground gauges from April 2014 to December 2017. The results showed the following:(1) the 3-year average daily precipitation estimation in the IMERG agrees well with the rain gauge observations(R~2=0.58, P0.01), and IMERG also has a considerable ability to detect precipitation, as indicated by a high probability of detection(78%-98%) and critical success index(65%-85%);(2) IMERG performed better at altitudes from 3000 m to 4000 m with a small relative bias(RB) of 6.4%. Precipitation change was not significantly affected by local relief;(3) the climate system of the TP was divided into four climate groups with a total of 12 climate types based on the K?ppen climate classification system, and IMERG performed well in all climate types with the exception of the arid-desert-cold climate(Bwk) type. Furthermore, although IMERG showed the potential to detect snowfall, it still exhibits deficiencies in identifying light and moderate snow. These results indicate that IMERG could provide more accurate precipitation data if its retrieval algorithm was improved for complex terrain and arid regions.