常用农业气候指标计算软件的研制  

Development of Common Agro-climatic Index Computing Software

作　　者：姚俊萌[1,2] 冯利平[1] 黄文霖[1] 余卫东[1,3] 王靖[1] 

机构地区：[1]中国农业大学资源与环境学院系统模拟与软件技术实验室,北京100193 [2]江西省气象科学研究所,南昌330046 [3]河南省气象科学研究所,郑州450003

出　　处：《中国农业气象》2012年第4期595-602,共8页Chinese Journal of Agrometeorology

基　　金：国家公益性行业(气象)科研专项(GYHY200906022);科技基础性工作专项(2007FY120100)

摘　　要：农业气候指标是反映气象条件对农业生产影响的特征量,具有广泛的实用性,这些指标种类多且计算较繁琐,为实现农业气候指标计算的高效性和便捷性,满足现代气象业务和科研的需求,基于农业气象学、中国气象局行业标准和统计学原理,选取37个常用农业气候指标,根据软件工程原理,采用Visual BASIC 2008语言编程,研制开发了常用农业气候指标计算软件(CAIC)。其中,积温的计算除常规方法外,还提供基于日气温变化曲线的精细有效积温的计算方法。软件由数据库系统、用户交互界面、输入输出模块和指标计算模块4部分组成,计算指标包括18个气温指标、6个降水指标、7个日照指标和6个作物气候指标。软件测试和结果比较表明,CAIC软件兼具综合性和应用性,实用性好,具有方便智能、可批量操作、扩充性强以及计算方法多样等特点,是农业气象业务和相关科研工作中一个全面、实用而高效的工具。Agro-climatic indices are widely used to reflect the impact of weather conditions on agricultural production, but its calculation is usually cumbersome. In order to make the calculation to be more efficient, convenient, and to meet the needs of modem meteorological operations and research, authors developed a common agro-climatic index computing software （CAIC）by using Visual BASIC 2008 programming language. Based on the principles of agricultural meteorology, meteorological industry standards and statistics, 37 common agro-climatic indices were selected including 18 temperature indices,6 precipitation indices,7 sunshine indices and 6 crop meteorological indices. For the index of effective accumulated temperature, in addition to the conventional method, CAIC provided another calculation method based on daily temperature curve. CAIC was composed of the database ,user interface,input/output and index computing modules. From the results of testing and comparing, CAIC was proved to be applicable and comprehensive, with the characteristics of smart, batch operational, easily - expanded and diverse methods provided. CAIC can be a practical and effective tool in agro-meteorological services and related research work.

关 键 词：农业气象 气候资源 指标 数据库 软件工具 

分 类 号：S16[农业科学—农业气象学]