基于变化向量分析（CVA）的土地利用／覆盖变化动态监测（Ⅱ）—变化类型的确定方法

以光谱直接比较为基础的变化向量分析法是一种非常有效的土地利用／覆盖变化动态监测方法，在双窗口变步长阈值搜寻方法确定变化和非变化像元的基础上，提出了参考图像分类并结合变化向量方向余弦最小距离分类的变化类型确定方法，同时应用该方法在北京市海淀区进行了实验研究，得到了较为理想的结果。变化类型的判断精度达到70％以上，显示了新方法的优越性和技术可行性。     

A meta-analysis of global crop water productivity of three leading world crops (wheat,corn, and rice) in the irrigated areas over three decades

ABSTRACT

The overarching goal of this study was to perform a comprehensive meta-analysis of irrigated agricultural Crop Water Productivity (CWP) of the world’s three leading crops: wheat, corn, and rice based on three decades of remote sensing and non-remote sensing-based studies. Overall, CWP data from 148 crop growing study sites (60 wheat, 43 corn, and 45 rice) spread across the world were gathered from published articles spanning 31 different countries. There was overwhelming evidence of a significant increase in CWP with an increase in latitude for predominately northern hemisphere datasets. For example, corn grown in latitude 40–50° had much higher mean CWP (2.45?kg/m³) compared to mean CWP of corn grown in other latitudes such as 30–40° (1.67?kg/m³) or 20–30° (0.94?kg/m³). The same trend existed for wheat and rice as well. For soils, none of the CWP values, for any of the three crops, were statistically different. However, mean CWP in higher latitudes for the same soil was significantly higher than the mean CWP for the same soil in lower latitudes. This applied for all three crops studied. For wheat, the global CWP categories were low (≤0.75?kg/m³), medium (>0.75 to <1.10?kg/m³), and high CWP (≥1.10?kg/m³). For corn the global CWP categories were low (≤1.25?kg/m³), medium (>1.25 to ≤1.75?kg/m³), and high (>1.75?kg/m³). For rice the global CWP categories were low (≤0.70?kg/m³), medium (>0.70 to ≤1.25?kg/m³), and high (>1.25?kg/m³). USA and China are the only two countries that have consistently high CWP for wheat, corn, and rice. Australia and India have medium CWP for wheat and rice. India’s corn, however, has low CWP. Egypt, Turkey, Netherlands, Mexico, and Israel have high CWP for wheat. Romania, Argentina, and Hungary have high CWP for corn, and Philippines has high CWP for rice. All other countries have either low or medium CWP for all three crops. Based on data in this study, the highest consumers of water for crop production also have the most potential for water savings. These countries are USA, India, and China for wheat; USA, China, and Brazil for corn; India, China, and Pakistan for rice. For example, even just a 10% increase in CWP of wheat grown in India can save 6974 billion liters of water. This is equivalent to creating 6974 lakes each of 100?m³ in volume that leads to many benefits such as acting as ‘water banks’ for lean season, recreation, and numerous ecological services. This study establishes the volume of water that can be saved for each crop in each country when there is an increase in CWP by 10%, 20%, and 30%.     

基于RIA和SOA的分布式WebGIS研究

基于当前流行的RIA平台和SOA体系,以分布式WebGIS为研究对象,探讨RIA/Services架构的分布式WebGIS开发方式,并以Silverlight和ArcGIS Server为平台阐述实践方案,开发的实验系统提高了WebGIS的表现力与交互性,同时降低了开发的复杂性、缩短了产品生产周期,具有一定的理论和现实意义。     

山东省两次暴雪天气的对比分析

应用常规天气图资料、探空资料、加密自动站观测资料、地基GPS/MET遥感大气水汽观测资料、卫星云图、多普勒雷达观测资料和NCEP/NCAR 1。×1。再分析资料,采用诊断分析和对比分析方法,对山东省2009年11月11 12日和2010年2月28日两次暴雪天气的水汽、热力、动力条件和中尺度特征进行对比分析。结果表明,(1)两次暴雪都是受高空槽影响产生的,700hPa附近有较强的偏南气流向暴雪区输送暖湿空气,整层大气高湿近于饱和,中低层有逆温,整层温度≤0 C;暴雪产生在700～500 hPa槽前西南气流前部、850 hPa东北风与东南风辐合的区域,近地面层都为东北风。(2)不同点是,前次暴雪过程中低层先有冷空气影响,然后中高层暖湿气流北上,中低层能量低,以稳定性降雪为主,持续时间长;后次暴雪过程中,先是中低层暖湿气流北上,而后强冷空气从低层锲入,低层形成低涡,地面形成气旋,中低层对流不稳定,对流发展,降雪强度大,持续时间短。(3)暴雪期间GPS/MET水汽监测的可降水量在20 mm左右,对降雪量有一定的指示性。加密自动站观测中温度0C线是雨、雪的分界线,有助于判别降水的形态。     

一次冬季降雹过程的CINRAD/SA回波特征

利用新一代天气雷达 (CINRAD/SA)对 2 0 0 2年 1 2月 1 9日一次冬季降雹观测资料进行分析 ,从中得出冬季降雹的回波特征 ,并对这次过程中出现的三体散射现象及相应的雷达产品做初步分析 ,得出“三体”散射现象是降大雹的一指示性标志和降雹的一些雷达产品指标。     

西安地区旱涝气候的长期变化

根据西安丰富的历史旱涝史料,建立了近１５００年旱涝序列,并采用滑动滤波、功率谱分析、谐波分析等方法,对西安地区旱涝气候的长期变化进行分析。     

Algorithm for Harmonic Tidal Analysis along T/P Tracks： Taking Differences of Observed Sea Surface Heights at Adjacent Points as Observations

An algorithm （differential mode） is presented for the improvement of harmonic tidal analysis along T/P tracks, in which the differences between the observed sea surface heights at adjacent points are taken as observations. Also, the observation equations are constrained with the results of the crossover analysis; the parameter estimations are performed at 0.1° latitude intervals by the least squares. Cycle 10 to 330 T/P altimeter data covering the China Sea and the Northwest Pacific Ocean （2°-50° N,105°-150° E） are adopted for a refined along-track harmonic tidal analysis, and harmonic constants of 12 constituents in 8 474 points are obtained, which indicates that the algorithm can efficiently remove non-tidal effects in the altimeter observations, and improve the precision of tide parameters. Moreover, parameters along altimetry tracks represent a smoother distribution than those obtained by traditional algorithms. The root mean squares of the fitting errors between the tidal height model and the observations reduce from 11 cm to 1.3 cm.     

CINRAD/SA雷达频综故障检修方法

频综是多普勒全相参天气雷达的核心部件,其组件工艺水平高且价格昂贵,它提供了整个雷达工作所需的基准信号,共有5路输出,它们分别是9.6MHz主时钟信号、COHO信号、RF DRIVE信号、STALO信号、RF TEST SIGNAL信号.由于不同地区雷达发射机工作频率不同,因此频综不能通用,在台站,备份频综组件不太现实.由于厂家没有提供频综图纸,使得故障判别难度加大.因此通过剖析频综内部结构,给出频综的内部原理简图.针对十多个CINRAD/SA雷达频综出现的故障,划分出三种故障类型,并提出具体维修方法,在此基础上,归纳出该型号雷达在使用过程中频综出现故障时,雷达操作、维护人员应掌握的故障排查方法及技巧,以提高台站的保障能力.     

大气季节内振荡对印度洋—西太平洋地区热带低压/气旋生成的影响

文中利用EOF分析大气季节内振荡 (MJO)的时空变化的方法 ,研究了 1996年 9月～ 1997年 6月间的MJO活动对生成在印度洋—西太平洋海域的热带低压 /气旋的影响。结果发现 ,除西北太平洋之外 ,发生在其他区域的热带低压 /气旋有半数以上生成在向东移动的MJO的湿位相中。伴随MJO的向东传播 ,热带低压 /气旋平均生成位置也随之向东移动 ,而生成在西北太平洋的热带低压 /气旋分别受到向东和向西传播的MJO影响     

Changes in Daily Climate Extremes of Observed Temperature and Precipitation in China

Daily precipitation for 1960–2011 and maximum/minimum temperature extremes for 1960–2008 recorded at 549 stations in China are utilized to investigate climate extreme variations.A set of indices is derived and analyzed with a main focus on the trends and variabilities of daily extreme occurrences.Results show significant increases in daily extreme warm temperatures and decreases in daily extreme cold temperatures,defined as the number of days in which daily maximum temperature(Tmax)and daily minimum temperature(Tmin)are greater than the 90th percentile and less than the10th percentile,respectively.Generally,the trend magnitudes are larger in indices derived from Tmin than those from Tmax.Trends of percentile-based precipitation indices show distinct spatial patterns with increases in heavy precipitation events,defined as the top 95th percentile of daily precipitation,in western and northeastern China and in the low reaches of the Yangtze River basin region,and slight decreases in other areas.Light precipitation,defined as the tail of the5th percentile of daily precipitation,however,decreases in most areas.The annual maximum consecutive dry days(CDD)show an increasing trend in southern China and the middle-low reach of the Yellow River basin,while the annual maximum consecutive wet days(CWD)displays a downtrend over most regions except western China.These indices vary significantly with regions and seasons.Overall,occurrences of extreme events in China are more frequent,particularly the night time extreme temperature,and landmasses in China become warmer and wetter.