用VisualC#实现监视文件和文件夹系统变化

1 Visual C#语言介绍　Microsoft Visual Studio .NET开发工具中，微软提供了Visual Basic、Visual C#、Visual J#、Visual C＋＋编程语言，其中Visual C#语言是.NET平台的核心开发语言。C#看起来与Java有着惊人的相似，包括如单一继承、界面、与Java几乎同样的语法和编译成中间代码再运行的过程。但C#与Java有着明显的不同，它借鉴了Delphi的一个特点，与COM（组件对象模型） 是直接集成的。     

河南省农业气象情报资料处理系统

根据实际业务工作的需要，使用C＋＋Builder可视化开发工具，开发了Windows环境下的河南省农业气象情报资料处理系统，该系统具有报码分析、文本生成和图形显示等功能。     

地面自动气象站数据质量检查系统

简述应用C 语言开发研制地面自动气象站数据质量检查系统的设计原理，系统结构，功能及操作方法。     

高级语言读取FOXBASE+数据文件的两种方式

高级语言从FOXBASE~ 库文件采集数据,是通过·TXT接口文件和直接读取·DBF文件两种方式进行的。本文通过实际操作、运行,总结出两种方式的简便用法及技巧,并对其利弊进行了比较。     

VC＋＋高级数据库应用技术

通过实例，简略介绍了两种比较新的利用VC＋＋访问数据库的技术（OLE DB、ADO）、各自的特点以及简单使用情况。     

创建帮助系统的一种方法

主要介绍了一种利用C^ Builder5.0创建帮助系统的简单方法,分析了三种不同显示方式的优缺点及帮助系统的创建要点。     

C＋＋ Builder中基于ADO的数据库访问方法

介绍了C＋＋ Builder中ADO数据库访问控件的属性及其使用方法，并以Access 2000数据库为例，给出了如何利用ADO控件对数据记录进行添加、查询的操作方法。     

Visual Basic 6.0开发数据库应用程序的几个实用技巧

VisualBasic是Microsoft公司推出的的３２位Windows应用程序开发工具。它提供了开发MicrosoftWindows（R）应用程序的最迅速、最简捷的方法。不论是MicrosoftWindows应用程序的资深专业开发人员还是初学者，VisualBasic都为他们提供了整套工具，以方便开发应用程序。VisualBasic６．０作为一种成熟的开发工具，从设计新型的用户界面到利用其它应用程序的对象、从处理文字图像到使用数据库，VisualBasic提供了完成这些工作的所有工具。与C＋＋Bulider、Delphi、PowerBulider等快速开发工具一样，VisualBasic支持许多公共的编程结构…     

浅析提高C++的编程效率

C语言之所以能被广泛的应用,其高效率是一个关键因素。而C 作为C语言的继承和发展,不仅保留了C语言的诸多优点,还包含面向对象的特征,成为新一代软件系统构建的利器。本文通过析构函数、虚函数、内联函数、普通成员函数、静态函数的调用,以单一继承为例介绍一些提高C 编程效率的简单方法。     

基于ASP技术的省级天气会商系统

介绍了利用ASP技术，以DreamweaverUltraDev4．0作为ASP的开发工具，研制的省级天气会商系统。     

Numerical simulations of orographic effects on NE Colorado snowstorms

Summary In this paper we show using a three-dimensional mesoscale model that terrain forcing has a major effect on the observed snowfall distribution under upslope conditions in northeast Colorado. Two upslope snowstorms (in 1982 and in 1985) were simulated. The effects are strongly dependent on the orientation of the prevailing wind with respect to terrain orientation.It is suggested that an approach such as discussed in this paper could be used in a forecasting mode, combined with traditional tools such as the NWS Limited Fine Mesh Model (LFM) or Nested Grid Model (NGM). In both of these cases the LFM correctly predicted the development of these storms. However, due to its much coarser resolution it was unable to resolve the terrain-forced variation evident in the simulations presented here.With 15 Figures     

基于MFAC的数控机床位置伺服系统

数控机床位置伺服系统是数控机床的重要组成部分,是一个复杂的机电系统,其控制受多方面因素的影响,控制难度较大,且其位置精度会影响数控机床的加工精度.本文以数控机床的位置伺服系统作为研究对象,通过改进算法来提高系统性能.本文基于传统的PI控制,采用紧格式动态线性化（CFDL）方法进一步对速度环与位置环进行改进,设计出改进前的无模型自适应控制（MFAC）,之后通过增加控制项来对改进前MFAC算法进行改进,得到改进后的MFAC算法.将两种算法在Matlab/Simulink中分别进行仿真,结果表明改进后的MFAC控制方案能够保持改进前MFAC控制方案的优点,并且位置跟随性能增强,具有良好的鲁棒性.     

Integrative propositions for adapting conservation policy to the impacts of climate change

Conservation policies have changed over time in response to changes in human and ecological drivers. The impacts of climate (and other) concurrent changes prompt consideration of further iterations for both conservation means and objectives. In this paper we bring together previous disparate literatures and apply them to the question of how to adapt conservation polices to suit an era of climate change impacts. Our approach is based on two assertions: (i) that the integration of specific natural and social science insights is essential for understanding and effectively responding to this challenge, and (ii) that in addition to adaptive conservation means (strategies), attention needs to be given to considering adaptive conservation objectives. Specifically, we convert a core set of natural and social science insights into analytical tools known as heuristics or rules of thumb. We then use the heuristics as a basis to offer a list of preliminary propositions that can help inform the development of new means and objectives. The propositions address key considerations including recalibrating management objectives, the role of disturbance in facilitating ecological transitions, and overarching topics relating to governance. The propositions are speculative, and so intended only to outline potential avenues for further empirical research and subsequent refinement. In the spirit of adaptation, we expect and welcome their revision.     

On the identification of representative samples from large data sets, with application to synoptic climatology

Summary The analysis of large data sets in meteorological and air quality studies is often made though the examination of specific case studies, especially when time-consuming computational models are employed. This paper presents the development of a tool to identify specific case studies, termed as representative days, that would subsequently be modelled. The success of such tools should be judged on the discrimination between the specified cases: and the degree to which they capture and recreate historical characteristics of the original data set. The developed approach utilises a principal component algorithm with varimax rotation (r-PCA) and the subtractive clustering algorithm coupled with a cluster validity criterion. In this paper, the developed tool is applied to a data set from the North Sea, utilizing two years worth of data from the DNMI operational forecasting model. The results will be subsequently used in photochemical and radiative forcing modelling tools as part of the EC funded project AEOLOS, with the ultimate goal to estimate the global warming potential of non-radioactive tracing substances such as SF₆ and PFCs, which are heavily used in the oil industry.     

运用上月各气象要素的特征来预告下月雨量——(沈阳夏季各月雨量作例)

一个地方下月的雨量,能不能从当地上月天气演变的结果所记录下来的各种气象要素的数值来推测呢?现在这篇报告的目的就想解答这个问题。关於这方面的研究,以前早有人注意,例如竺可桢教授研究过冬天温度与夏季雨量的关系,     

Knowledge extraction from large climatological data sets using a genome-wide analysis approach: application to the 2005 and 2010 Amazon droughts

Today, the volume of data generated in almost all disciplines, particularly in meteorology and climate science, is dramatically increasing. Among the challenges generated by this “data deluge” is the development of efficient knowledge discovery strategies. Here, we show that statistical and computational tools used to analyze large data sets of genome-wide studies can be fruitfully applied to a climatic context. Although not as powerful as some techniques already in use by climatologists, these tools are simple and robust, and can easily be adapted to detect early warning signals for extreme events like droughts or be used to filter large data sets before applying other more advanced and computationally expensive methods. We test this approach in our investigation of the causes of the Amazon droughts of 2005 and 2010. Our results highlight the major role played in these extreme events by the warming of the sea’s surface temperature, mainly in the tropical North Atlantic. Our findings are in agreement with several analyses published in the literature. The main message we convey is that free and open-source data mining and visualization techniques routinely used in genetic studies can be useful in helping scientists to extract knowledge from large climatic data sets, particularly in regions of the world that are vulnerable to climate change but where the availability of technical expertise is critically scarce.     

A survey of unbalanced flow diagnostics and their application

1.IntroductionImbalanceisdefinedintermsoftowhatextenttheflowdepartsfromabalancedstate.Despitetheapparentcomplexityofatmosphericmotions,thepressure(massfield)andvelocity(momentum)distributioncanberelatedbyrathersimpleapproximateforcebalances(sothatparcelaccelerationscanbeignored).Davisetal.(1996)pointedoutthattheunderlyingassumptionofbalanceddingnosticsisthatthenowevolvesinawayconsistentwiththerestrictionsimplicitwithinthediagnosticframework.ThesimplesttwobalancerelationsaregeostrOPhl'cbalance…     

气象高性能计算应用服务环境适应性研究

为满足气象数值模式业务系统对高性能计算应用服务环境不断增长的需求,提供数值模式稳定、高效运行的应用平台,开展了气象高性能计算应用服务环境建设工作。对应用需求进行了深入分析,规划设计并初步实施了建设方案,主要包括系统与应用流程统一规划、模式软件应用框架构建等内容。为气象数值模式业务及科研工作的开展提供了有力的技术支撑和保障。     

Regional impact assessment of flooding under future climate and socio-economic scenarios for East Anglia and North West England

Interactive tools developed within the RegIS project for assessing the impacts of flooding provide information to support flood management policies and analyse the performance of possible adaptation activities to climate change. This paper describes the methodologies used in the development of these tools including tidal and fluvial flooding processes with different levels of climate pressures, represented by changes in sea level and peak river flows. Potential impacts of climate change for East Anglia and North West England are explored to the 2050s using four socio-economic scenarios to represent plausible futures. This includes changes in urban land use as well as adaptive responses to flooding comprising dike upgrade and realignment options. The results indicate that future climate will increase flood risk in both regions. East Anglia is more vulnerable to climate change than North West England at the present level of protection, especially in the extensive coastal lowlands of the Fens and Broads because of the combined effects of sea-level rise and increased fluvial flows. Although the present adaptive policy of upgrading defences in East Anglia will reduce the impacts of flooding, this policy is not effective in the case of the more extreme climate change scenarios by 2050s. In this case, more extensive adaptation would be required.