摘要
介绍了温度指标快算器的开发过程、意义和作用。该软件可以根据气象台站的温度数据资料快速计算出多年多点气象站台的温度数据库中的旬平均、月平均、年平均,1月最低,7月最高,1和7月多年平均,1和7月平均温度变率,≥0℃积温,≥5℃积温,≥10℃积温,多年平均积温,年平均温度变率等,使用方便、快捷。其次,用本软件计算了新疆41个气象站点1970～2000年的温度指标,并以Arcview为平台分析了新疆温度的变化趋势,结果表明,新疆年平均温度为升温趋势,近30年温度上升0 7～0 9℃。新疆≥0℃积温南疆为4326～5573℃,北疆阿勒泰地区2844～3629℃,其他地区3630～4325℃。不同地区不同的增积温现象。最后,分析升温趋势对新疆农业生产的影响,提出相应的建议。
In this thesis, we firstly introduced the developing process of the software for temperature indexes' quick calculation and its meaning and function. The software could quickly compute the following temperature indexes based on the daily temperature database of different meteorology stations: average temperature for 15-days, month and year, the minimum temperature of January, the maximum temperature of July, multi-year average temperature of January and July, the average temperature's variation of January and July, the variation of yearly average temperature, and the accumulating temperatures of ≥0℃, ≥5℃ and ≥10℃ and their multi-year average values. So, the software is convenient and quick to calculate the temperature indexes used frequently in agro meteorology. Based on the temperature materials of 41 stations in Xinjiang region from 1970～2000, using the software, we worked out the above temperature indexes in Xinjiang Region. By analyzing these indexes, we got the following conclusions. The yearly average temperature has the increasing tendency and 0.7～0.9℃ has increased in the recent 30 years. For the ≥0℃ accumulating temperatures, it is about 4 326～5 573℃ in the south of Xinjiang Region and in Altai, the north of Xinjiang the region, is about 2 844～3 629℃, and other north of Xinjiang it is about 3 630～4 325℃.There is different region different increase to accumulating temperatures. Finally, we brought the effection of the remperature's ascending tendency on Xinjiang's agriculture and some suggestions.
出处
《新疆农业科学》
CAS
CSCD
2004年第3期150-155,共6页
Xinjiang Agricultural Sciences
关键词
温度指标快算器
新疆
温度指标
变化趋势
农业生产
the software for temperature indexes' quick calculation
Xinjiang
temperature indexes
tendency
