太平洋海温异常对大理雨季开始期的影响

采用大理州雨季开始期资料、1961年6月~2008年5月太平洋5°×5°共286个格点的逐月平均海温资料及NCEP/NCAR的SSTA资料,通过相关分析发现,太平洋海温与大理雨季开始期的关系密切,春季和上年秋季太平洋海温对大理雨季开始的影响较大。雨季开始前若发生厄尔尼诺事件,大理雨季开始期偏晚,反之,若发生拉尼娜事件,大理雨季开始期偏早。N ino3区的海温异常对大理雨季开始期的影响相当明显,当5月N ino3区的海温异常偏高时,大理雨季开始期偏晚;反之,当5月N ino3区的海温异常偏低时,大理雨季开始期偏早,N ino3区海温异常可以作为大理雨季开始期预测的一个强信号因子。     

房产测量中面积测算问题探讨

房产测量成果是为产权产籍管理、开发管理、交易管理和拆迁管理服务,是为城市规划和城市建设等提供基础数据和资料的重要基础性工作,得到全社会的关注。本文对房产测量中房屋面积测算过程经常遇到的问题进行了探讨,并提出了一些解决的建议。     

朝鲜半岛及华北上元古界-古生界沉积序列与碎屑锆石年代学记录及其构造属性分析

通过地层结构、沉积序列与碎屑锆石年代学记录等三方面的成因分析和区域对比,本文进一步探究了中-朝地块新元古代-古生代的构造属性及演化信息。研究指出,朝鲜半岛平南盆地、太白山盆地以及华北地块内部,其地层结构-沉积相序主要以寒武-奥陶系内陆架碳酸盐岩沉积、志留-泥盆系缺失、中上石炭统-二叠系海陆交互相含煤沉积为特征,并具有可对比的1.85Ga、2.5Ga以及1.15Ga、1.6Ga等碎屑锆石年龄峰值。而在临津江带、沃川带以及华北东南缘,则以泥盆-石炭系泥岩/片岩、中基性火山岩及火山碎屑岩、碳酸盐岩(透镜体)混杂发育为特征,总体显示外陆架沉积环境,且具有可对比的与地层时代接近的最小碎屑锆石年龄,这也是对沉积期较强构造-岩浆活动的反映。综合地层结构、相序、碎屑锆石年龄组成以及聚煤记录,提出朝鲜半岛与华北应属于统一的一级构造单元,即"中-朝板块";但朝鲜半岛西南部及华北东南缘毗邻板块边缘,因此其地层-沉积记录与板内存在差异,简单的一致性模式并不适用。     

Analysis of mass concentration of atmospheric particulate matter in a sandstorm course and its affecting factors in the Taklimakan Desert

During the course of a major sandstorm from April 17 to April 23, 2008 in the Taklimakan Desert, data pertaining to the mass concentrations of different-sized atmospheric particulate matter were observed continuously with Grimm 1.108, Thermo RP 1400a, TSP, and CAWS-600 instruments. The results showed that: (1) during the entire sandstorm process there were some differences between the daily mean particle concentration peaks and the hourly mean particle concentration peaks because the actual sandstorm lasted for only about 4 hr, whereas more particles were accumulated in the floating dust days before and after the actual sandstorm; (2) the intensity of the sandstorm was enhanced with the increase of wind speed, and this was related to the peak mass concentrations of atmospheric particulate matter; the wind speed directly affected the concentration of atmospheric particulate matter: the higher the wind speed, the higher the mass concentration (>0.23 μm was 39,496.5 μg/m³, and >20.0 μm was 5,390.7 μg/m³); (3) the concentration changes of PM₁₀ and TSP were also related to the course and intensity of the sandstorm; and (4) the mass concentration of atmospheric particulate matter had the following sequence during the dust weather: clear day < floating dust < floating and blowing dust < sandstorm. Temperature, relative humidity, and barometric pressure are important factors affecting the strength of storms, which could also indirectly affect the concentration change of atmospheric particulate matter.     

偕胺肟基聚丙烯腈/蒙脱土纳米复合材料海水铀的吸附规律研究

采用偕胺肟化聚丙烯腈/蒙脱土(APAN/MMT)复合纳米吸附材料对海水中的铀进行吸附,考察了吸附条件对APAN/MMT吸附铀量的影响,并对APAN/MMT吸附铀的动力学和热力学进行了探讨.结果表明:铀初始浓度、溶液温度较高、采用磁力搅拌吸附方式有利于吸附速率的提高,溶液pH对吸附性能有一定的影响,在pH为5时,平衡吸附...     

生物可持续性科学计划与实施战略介绍

“生物可持续性”(bioSUSTAINABILITY)科学计划是生物多样性计划（DIVERSITAS）3个核心科学计划之一,是一个有关生物多样性的国际计划。bioSUSTAINABILITY有3个密切相关的研究焦点：①评价目前生物多样性保护和持续利用所采取的措施的有效性;②导致生物多样性丧失的社会、政治和经济驱动因子分析;③生物多样性保护与持续利用的社会选择和决策取向研究。介绍了bioSUSTAINABILITY的主要内容及其实施战略,并分析了它对保护和可持续利用生物多样性的重要作用。     

A Machine Learning-based Cloud Detection Algorithm for the Himawari-8 Spectral Image

Cloud Masking is one of the most essential products for satellite remote sensing and downstream applications. This study develops machine learning-based (ML-based) cloud detection algorithms using spectral observations for the Advanced Himawari Imager (AHI) onboard the Himawari-8 geostationary satellite. Collocated active observations from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) are used to provide reference labels for model development and validation. We introduce both daytime and nighttime algorithms that differ according to whether solar band observations are included, and the artificial neural network (ANN) and random forest (RF) techniques are adopted for comparison. To eliminate the influences of surface conditions on cloud detection, we introduce three models with different treatments of the surface. Instead of developing independent ML-based algorithms, we add surface variables in a binary way that enhances the ML-based algorithm accuracy by ~5%. Validated against CALIOP observations, we find that our daytime RF-based algorithm outperforms the AHI operational algorithm by improving the accuracy of cloudy pixel detection by ~5%, while at the same time, reducing misjudgment by ~3%. The nighttime model with only infrared observations is also slightly better than the AHI operational product but may tend to overestimate cloudy pixels. Overall, our ML-based algorithms can serve as a reliable method to provide cloud mask results for both daytime and nighttime AHI observations. We furthermore suggest treating the surface with a set of independent variables for future ML-based algorithm development.     

塔克拉玛干沙漠腹地边界层风场特征

利用CFL-03边界层风廓线雷达在塔中开展了边界层风场探测研究,根据2010年4月1日至2010年11月30日连续的边界层风场探测资料,分析了塔克拉玛干沙漠腹地大气边界层风场时空分布特征,得到了4月至11月各月的高空风廓线。结果表明,塔中春秋季风场结构类似,中高层多为西风,风速较大,低层多为东风,风速较小,整层风速与高度成正比;夏季高层风速变小,低层风速增大,东风层增厚,夏季塔中地区上空100～200 m高度层存在明显风速切变带。     

基于ArcEngine的供水管网三维模块的设计与实现

城市供水管网是一个城市的生命线,是城市规划建设管理的基础信息,本文在分析了城市供水管网存在问题的基础上,介绍了采用ArcEngine作为基础平台开发城市供水管网信息系统的优势和方法,着重介绍了利用VB和ArcEngine实现系统的一些关键技术,实现了给水管网三维显示、虚拟三维飞行等功能,该功能能根据选定的路径查看沿线地形环境,解决了传统的二维显示的局限性,为供水管网设计部门进行管线设计和工改大修等提供了一定的决策支持。