欢迎访问《中国农学通报》,

中国农学通报 ›› 2014, Vol. 30 ›› Issue (17): 228-235.doi: 10.11924/j.issn.1000-6850.2013-2058

所属专题: 资源与环境 农业生态

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

辽宁省 1981—2010年潜在蒸散量的变化及生态需水分析

翟晴飞 敖雪 孙宝利   

  • 收稿日期:2013-07-30 修回日期:2013-09-23 出版日期:2014-06-14 发布日期:2014-06-14
  • 基金资助:
    辽宁省人工影响天气办公室 2012年项目 “土壤需水分析” (201202)。

The Change of Potential Evapotranspiration during 1981 to 2010 and the Analysis of Ecological Water Demand

  • Received:2013-07-30 Revised:2013-09-23 Online:2014-06-14 Published:2014-06-14

摘要: 为了能够实时了解辽宁各地区的土壤水分盈亏量,掌握辽宁各地需水情况,从而科学进行人工增雨作业,利用辽宁55个站1981—2010年逐日的降水量、风速、气温、气压、相对湿度、日照时数、最低、最高气温等气象资料,采用FAO Penman-Monteith模型计算潜在蒸散量,分析了辽宁潜在蒸散量的时空变化趋势和特征。结果表明:近30年辽宁省各站点潜在蒸散量的年际变化整体呈下降趋势;四季变化中,大多数站点夏季潜在蒸散量最大,春季和夏季相差不大,有些站点春季的蒸散量还略大于夏季,秋冬季较小;空间分布特征表现为自西向东递减。以计算潜在蒸散量为基础建立的辽宁生态需水分析系统,能够实时计算各土壤观测点的水分盈亏量,可以为人工增雨决策指挥提供参考。

关键词: 水稻, 水稻, 高温胁迫, 生理生化指标, 产量性状

Abstract: In order to know the amount of real-time soil moisture gains and losses of Liaoning, grasped the water demand situation and carried out artificial rainfall operations scientifically. The daily precipitation, wind speed, temperature, barometric pressure, relative humidity, the daily total sunshine, minimum temperature, maximum temperature, and other meteorological data of 55 stations from 1981 to 2012 was used. FAO PenmanMonteith model was applied to calculate potential evapotranspiration and analyze the temporal and spatial variation of potential evapotranspiration trends and characteristics of Liaoning Province. The results showed that nearly 30 years the interannual change of potential evapotranspiration was downward trend in the overall in Liaoning Province. The summer potential evapotranspiration was the most one in four seasons, in some regions there was a little difference in spring and summer or even slightly larger in spring, autumn and winter was small. The spatial distribution of the characteristic showed decreasing from west to east. The ecological water analysis system was established based on calculating potential evapotranspiration, which could calculate soil water budget for each observation point at real time. It could provide reference for decision and command of artificial rainfall.