生态环境学报Issue(7)：1160-1166,7.
安徽省近40年参考作物蒸散量的敏感性分析
Sensitivity analysis of reference crop evapotranspiration in Anhui province in the recent 40 years
摘要
Abstract
Using the FAO Penman-Monteith equation to calculate ET0 based on daily meteorological data collected from 79 meteorological stations from 1971 to 2010 in Anhui Province, quantitative analysis had been done on temporal and spatial distribution characteristics as well as influencing factors of ET0 respectively. The results showed that average yearly ET0 was 862 mm and with a trend of “fluctuate-decrease” since 1971. Generally, it decreased from the northeast to the southwest, which was higher in plain, and lower in mountain. As for analysis of sensitivity coefficient, the largest factor contribution to the change of ET0 was relative humidity, the second were sunshine hours and wind speed, the minimum was average temperature. In recent 40 years, the yearly change trends of sensitivity coefficient of average temperature, sunshine hours and wind speed were not obvious and presented smooth fluctuation, while the change trends of sensitive coefficient of relative humidity showed a clear upward trend(α=0.01). its absolute value decreased, indicating that the relative humidity sensitivity of ET0 in weakening trend. In the annual change characteristics, sensitive coefficient variation of relative humidity showed obvious double peak characteristics, while the annual change characteristics of the average temperature, sunshine hours and wind speed showed single peak. Concerning to contribution of main factors to ET0, the largest one was relative humidity, total contribution of four main factors to ET0 was-1.33, and the change of sunshine hours and wind speed largely explained the decrease trend of ET0.关键词
参考作物蒸散/时空分布/敏感系数/贡献率/安徽省Key words
evapotranspiration/spatiotemporal pattern/sensitivity coefficient/contribution rate/Anhui province分类
农业科技引用本文复制引用
吴文玉,孔芹芹,王晓东,马晓群,何彬方,张宏群..安徽省近40年参考作物蒸散量的敏感性分析[J].生态环境学报,2013,(7):1160-1166,7.基金项目
国家公益性行业(气象)科研专项(GYHY201006027)；中国气象局气象监测与灾害预警工程项目；安徽省气象局气象科研课题(KM201110Z)；安徽省气象局业务建设项目(YWNL201303) （气象）
