农田生态系统中重金属的积累积循环

本文通过对北京东郊高碑店地区污染农田的调查研究,探讨了重金属在农田生态系统中的积累和循环,计算出重金属在区域环境中的输入输出量,说明本区仍处于重金属积累状态,为防治农田环境污染,提出了停止施用污水处理厂的晾干污泥,减少灌溉污水中的重金属含量等保护性措施。     

The Impact of Horizontal Resolution on the CNOP and on Its Identified Sensitive Areas for Tropical Cyclone Predictions

In this study,the impacts of horizontal resolution on the conditional nonlinear optimal perturbation (CNOP) and on its identified sensitive areas were investigated for tropical cyclone predictions.Three resolutions,30 km,60 km,and 120 km,were studied for three tropical cyclones,TC Mindulle (2004),TC Meari (2004),and TC Matsa (2005).Results show that CNOP may present different structures with different resolutions,and the major parts of CNOP become increasingly localized with increased horizontal resolution.CNOP produces spiral and baroclinic structures,which partially account for its rapid amplification.The differences in CNOP structures result in different sensitive areas,but there are common areas for the CNOP-identified sensitive areas at various resolutions,and the size of the common areas is different from case to case.Generally,the forecasts benefit more from the reduction of the initial errors in the sensitive areas identified using higher resolutions than those using lower resolutions.However,the largest improvement of the forecast can be obtained at the resolution that is not the highest for some cases.In addition,the sensitive areas identified at lower resolutions are also helpful for improving the forecast with a finer resolution,but the sensitive areas identified at the same resolution as the forecast would be the most beneficial.     

The Roles of Spatial Locations and Patterns of Initial Errors in the Uncertainties of Tropical Cyclone Forecasts

In this study,a series of sensitivity experiments were performed for two tropical cyclones (TCs),TC Longwang (2005) and TC Sinlaku (2008),to explore the roles of locations and patterns of initial errors in uncertainties of TC forecasts.Specifically,three types of initial errors were generated and three types of sensitive areas were determined using conditional nonlinear optimal perturbation (CNOP),first singular vector (FSV),and composite singular vector (CSV) methods.Additionally,random initial errors in randomly selected areas were considered.Based on these four types of initial errors and areas,we designed and performed 16 experiments to investigate the impacts of locations and patterns of initial errors on the nonlinear developments of the errors,and to determine which type of initial errors and areas has the greatest impact on TC forecasts.Overall,results from the experiments indicate the following:(1) The impact of random errors introduced into the sensitive areas was greater than that of errors themselves fixed in the randomly selected areas.From the perspective of statistical analysis,and by comparison,the impact of random errors introduced into the CNOP target area was greatest.(2) The initial errors with CNOP,CSV,or FSV patterns were likely to grow faster than random errors.(3) The initial errors with CNOP patterns in the CNOP target areas had the greatest impacts on the final verification forecasts.     

工程测量中树木调查数据的自动标注

在工程测绘中,有大量的树木需要进行测绘和树种、胸径的标注。在传统的作业方法中工作量很繁重,而且容易出错。本文阐述了如何通过外业测绘时的准备工作,利用AutoLISP的简单编程实现快速的标注,以此减少内外业的工作量。     

风云三号卫星微波成像仪在轨性能稳定性分析

利用地球冷目标观测亮温的稳定性和遥感数据统计直方图方法,是评价微波成像仪等类似微波成像辐射计在轨性能稳定性的有效方法。在此基础上,本文用2011年2月—7月风云三号02星微波成像仪在轨观测的亮温数据,对微波成像仪在轨运行的性能稳定性进行了分析。结果表明:风云三号02星微波成像仪在轨性能稳定,所有通道最低亮温参考值波动范围不超过1.8K。     

高原东侧突发性大暴雨过程中螺旋度的诊断分析

利用MM5模式模拟输出结果,对2002年6月8-9日发生在陕西省和四川北部的一次突发性大暴雨过程进行了螺旋度诊断分析.结果表明:暴雨区附近总存在一对紧邻的大小(低层)或正负(中层)螺旋度中心,低层螺旋度正值区强度远大于中高层螺旋度正负值区,对流层中层正负中心的轴线随高度呈逆时针旋转,相应的垂直结构是一对正负相伴的螺旋度柱.当暴雨区东侧正螺旋度突然向高层伸展,西侧伴有负螺旋度发展,且两中心间等值线变密集时,暴雨开始,大小(正负)螺旋度最强及其间等值线最紧密时,暴雨达到最强盛时期,而且暴雨就发生在两螺旋度之间偏大值中心的等值线密集区.进一步分析表明:螺旋度发生发展的主要贡献者是水平速度和水平速度的垂直切变.     

Relationship between climate change and vegetation distribution in the Mediterranean mountains: Manzanares Head valley, Sierra De Guadarrama (Central Spain)

This work analyzes the consequences of climate change in the distribution of the Mediterranean high-mountain vegetation. A study area was chosen at the Sierra de Guadarrama, in the center of the Iberian Peninsula (1,795 to 2,374 m asl). Climate change was analyzed from the record of 18 variables regarding temperature, rainfall and snowfall over the period 1951–2000. The permanence of snow cover (1996–2004), landforms stability and vegetation distribution in 5 years (1956, 1972, 1984, 1991 and 1998) were all analyzed. The Nival Correlation Level of the different vegetation classes was determined through their spatial and/or temporal relationship with several climatologic variables, snow cover duration and landforms. In order to quantify trends and major change processes, areas and percent changes were calculated, as well as Mean Annual Transformation Indices and Transition Matrices. The findings reveal that in the first part of the study period (up to the first half of the 1970s) the temperature rise in the mid-winter months caused the reduction of some classes of nival vegetation, while others expanded, favored by high rainfall, decrease in both maximum temperatures and summer aridity, and longer snow cover duration. The second part of the study period was characterized by the consolidation of the increase in all thermal variables, along with an important reduction in rainfall volume and snow cover duration. As a result, herbaceous plants, which are highly correlated with a long snow permanence and abundance of melting water, have been replaced by leguminous shrubs which grow away from the influence of snow, and which are steadily becoming denser.     

Algorithm Studies on How to Obtain a Conditional Nonlinear Optimal Perturbation (CNOP)

The conditional nonlinear optimal perturbation (CNOP), which is a nonlinear generalization of the linear singular vector (LSV), is applied in important problems of atmospheric and oceanic sciences, including ENSO predictability, targeted observations, and ensemble forecast. In this study, we investigate the computational cost of obtaining the CNOP by several methods. Differences and similarities, in terms of the computational error and cost in obtaining the CNOP, are compared among the sequential quadratic programming (SQP) algorithm, the limited memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) algorithm, and the spectral projected gradients (SPG2) algorithm. A theoretical grassland ecosystem model and the classical Lorenz model are used as examples. Numerical results demonstrate that the computational error is acceptable with all three algorithms. The computational cost to obtain the CNOP is reduced by using the SQP algorithm. The experimental results also reveal that the L-BFGS algorithm is the most effective algorithm among the three optimization algorithms for obtaining the CNOP. The numerical results suggest a new approach and algorithm for obtaining the CNOP for a large-scale optimization problem.     

L波段探测系统使用心得

呼和浩特观象台自2008年9月1日使用L波段雷达─GTS1型数字式探空仪气象探测系统,综合探测已2个多月了,在工作期间积累了一些经验,与各位同行交流。1     

准线形对流系统中强度—速度负相关性的特征研究

准线形对流系统(如飑线、弓形回波)是常见的强对流性系统,伴随它出现的一般是大风、旋风甚至冰雹等严重的灾害性天气现象.弓形回波有的是由一个单体产生的,也有嵌套在飑线或其他线形系统中,作为整个线形回波的一个部分.弓形回波能在很长的带上产生灾害性的直线风.在我们的研究中发现,准线形对流系统中,反射率因子(R)和径向速度(V)之间存在一定的负相关性,对发生在中国东部地区(24.5°-34.29°N,116.01°-119.52°E)的16个个例进行统计分析,发现在这些系统中都存在这种R-V负相关的特征,负相关的程度随高度有规律性的变化.通过对2006年6月29日个例的风场分析证实这种特征确实存在.对流系统与雷达射线方向接近垂直时,R-V负相关特征明显,这是因为该方向上,观测到的径向速度近乎等于实际风速,数值最大;而因垂直运动造成的水平风速减小并不因探测位置的不同而有很大变化.文中通过分析,推断R-V的这种负相关性与准线形系统中对流的强弱、中层径向辐合的强弱以及后向入流都有很大的关系.