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??????????λ???PANDA?????????纣????????2009??2011??2013??????3??GNSS?????????д????????????ITRF2008?μ???????????????з??????ó?????????????????仯????E???????32.16 mm/a????N???????-10.08 mm/a?????????????????????λ?????????????????????μ?????????     

北斗二号与北斗三号完好性参数设计差异分析

针对能够标识北斗二号与北斗三号系统服务完好性的参数差异问题,该文从完好性参数定义、导航电文结构、参数内容和播发方式等方面对北斗二号和北斗三号系统完好性参数播发现状进行了比对分析,并对各类参数的工程实现情况进行了比较,结果表明:在兼容北斗二号基本导航服务相关系统完好性参数的基础上,北斗三号增加了可快速标识服务精度及预测精度的完好性参数;受多方面的约束与局限,北斗二号仅具备提供单频改正的广域差分增强服务的能力,且无相关国际标准规范支撑,而北斗三号为能获取国际民航组织测试认证,已立足于国际相关标准规范进行了可支撑单、双频改正的星基增强服务工程实现.     

基于AHP的文物建筑防雷分类研究

通过对文物建筑雷电灾害规律的分析,提出将文物建筑的重要性、雷击密度、所处环境、服务设施、文物建筑高度、周围树木、自身结构、雷击史等作为文物建筑防雷分类的评估指标,采用层次分析法(AHP)确定指标权重。根据文物建筑保护等级、遭受雷灾规律、雷电活动情况以及现行国家标准将评估指标分类,参考里克特量表及等权指标体系对评估指标进行评价,建立了文物建筑防雷分类评估模型。     

Evaluation of radar and automatic weather station data assimilation for a heavy rainfall event in southern China

To improve the accuracy of short-term(0–12 h) forecasts of severe weather in southern China, a real-time storm-scale forecasting system, the Hourly Assimilation and Prediction System(HAPS), has been implemented in Shenzhen, China. The forecasting system is characterized by combining the Advanced Research Weather Research and Forecasting(WRF-ARW)model and the Advanced Regional Prediction System(ARPS) three-dimensional variational data assimilation(3DVAR) package. It is capable of assimilating radar reflectivity and radial velocity data from multiple Doppler radars as well as surface automatic weather station(AWS) data. Experiments are designed to evaluate the impacts of data assimilation on quantitative precipitation forecasting(QPF) by studying a heavy rainfall event in southern China. The forecasts from these experiments are verified against radar, surface, and precipitation observations. Comparison of echo structure and accumulated precipitation suggests that radar data assimilation is useful in improving the short-term forecast by capturing the location and orientation of the band of accumulated rainfall. The assimilation of radar data improves the short-term precipitation forecast skill by up to9 hours by producing more convection. The slight but generally positive impact that surface AWS data has on the forecast of near-surface variables can last up to 6–9 hours. The assimilation of AWS observations alone has some benefit for improving the Fractions Skill Score(FSS) and bias scores; when radar data are assimilated, the additional AWS data may increase the degree of rainfall overprediction.     

Impact of updraft on neutralized charge rate by lightning in thunderstorms: A simulation case study

The rate of neutralized charge by lightning (RNCL) is an important parameter indicating the intensity of lightning activity. The total charging rate (CR), the CR of one kind of polarity (e.g., negative) charge (CROP), and the outflow rate of charge on precipitation (ORCP) are proposed as key factors impacting RNCL, based on the principle of conservation of one kind of polarity charge in a thunderstorm. In this paper, the impacts of updraft on CR and CROP are analyzed by using a 3D cloud resolution model for a strong storm that occurred in Beijing on 6 september 2008. The results show that updraft both promotes and inhibits RNCL at the same time. (1) Updraft always has a positive influence on CR. The correlation coefficient between the updraft volume and CR can reach 0.96. Strengthening of the updraft facilitates strengthening of RNCL through this positive influence. (2) Strengthening of the updraft also promotes reinforcement of CROP. The correlation coefficient between the updraft volume and CROP is high (about 0.9), but this promotion restrains the strengthening of RNCL because the strengthening of CROP will, most of the time, inhibit the increasing of RNCL. (3) Additionally, increasing of ORCP depresses the strengthening of RNCL. In terms of magnitude, the peak of ORCP is equal to the peak of CR. Because precipitation mainly appears after the lightning activity finishes, the depression effect of ORCP on RNCL can be ignored during the active lightning period.     

Impact of the Vertical Velocity Field on Charging Processes and Charge Separation in a Simulated Thunderstorm

A three-dimensional(3D) charging-discharging cloud resolution model was used to investigate the impact of the vertical velocity field on the charging processes and the formation of charge structure in a strong thunderstorm. The distribution and evolution of ice particle content and charges on ice particles were analyzed in different vertical velocity fields. The results show that the ice particles in the vertical velocity range from 1 to 5 m s-1obtained the most charge through charging processes during the lifetime of the thunderstorm. The magnitude of the charges could reach 1014 n C. Before the beginning of lightning activity,the charges produced in updraft region 2(updraft speed 13 m s-1) and updraft region 1(updraft speed between 5 and 13 m s-1) were relatively significant. The magnitudes of charge reached 1013 n C, which clearly impacted upon the early lightning activity. The vertical velocity conditions in the quasi-steady region(updraft speed between –1 and 1 m s-1) were the most conducive for charge separation on ice particles on different scales. Accordingly, a net charge structure always appeared in the quasi-steady and adjacent regions. Based on the results, a conceptual model of ice particle charging, charge separation, and charge structure formation in the flow field was constructed. The model helps to explain observations of the"lightning hole" phenomenon.     

双站摄像资料重建闪电三维通道的方法

为了满足准确分析闪电通道三维发展特征和闪电先导相互作用的需求,建立了一种利用双站摄像资料重建闪电三维通道的方法,从两幅在不同位置拍摄到的闪电二维图像上分别获取通道的坐标序列,利用空间立体几何原理,寻找两组序列中互相匹配的坐标,再由匹配的坐标序列重建出最终的闪电三维通道。通过对一次实际观测个例的重建与分析,验证了重建算法在实际观测中的可靠性,并对闪电通道的三维长度和二维长度进行了对比,发现两者差异可达2倍以上,充分说明了闪电三维特征分析的重要性。     

基于作物系数与水分生产函数的向日葵产量预测

利用河套灌区向日葵2012年田间水分、分期播种试验数据和两个站点的农业气象历史资料,研究基于向日葵作物系数和水分生产函数的产量预测方法。结果表明:向日葵标准作物系数在生育期内的变化规律是前期小、中期大、后期小, 最高值为1.21, 出现在开花期。标准作物系数与出苗后日数和大于0℃积温有很好的二次和三次多项式关系,拟合优度在0.93以上。在分析相对叶面积指数和作物系数关系的基础上,提出标准作物系数的相对叶面积指数订正方法,得出河套灌区向日葵作物系数的动态计算式,为水分生产函数中实际蒸散量的计算提供支撑。建立以Jensen模型为基础的向日葵水分生产函数,得到对水分亏缺的敏感顺序从高到低是开花期、花序形成期、成熟期、苗期。综合应用向日葵作物系数方程和水分生产函数模型计算分期播种产量,与实际产量分别相差4.4%和4.1%,初步证明该文提出的方法对产量预测较为理想,在该地区具有很好的适用性。     

Excess commuting in transitional urban China: A case study of Guangzhou

During the reform era, Chinese cities witnessed dramatic institutional transformation and spatial restructuring in general and profound change of commuting patterns in particular. Using household surveys collected in Guangzhou, China, in 2001, 2005 and 2010, excess commuting measurements are estimated. Excess commuting shows an overall trend of increasing during 1990–1999, and then declining during 2000–2010. We argue that deepening marketization of the jobs and housing sectors has induced spatial separation of jobs and housing. In other words, institutional transition and urban spatial restructuring are underpinning the changes of commuting patterns in Chinese cities. Excess commuting has strong relationship with individual socio-demographic status, which is by and large due to the increasing flexibilities of jobs and housing location choices enjoyed by urban residents. The findings call for considerations on balancing jobs-housing in making public policies relevant to urban development in general, and land use and transportation in particular.