三江平原毛苔草沼泽蒸散量模拟研究  

Modelling Evapotranspiration of Carex lasiocarpa Marshes in Sanjiang Plain

作　　者：贾志军[1] 姬兴杰[2] 

机构地区：[1]成都信息工程学院大气科学学院,高原大气与环境四川省重点实验室,四川成都610225 [2]河南省气候中心,河南郑州450003

出　　处：《湿地科学》2014年第4期409-418,共10页Wetland Science

基　　金：高原大气与环境四川省重点实验室开放基金项目(PAEKL-2010-K3);成都信息工程学院科研基金项目(2009JY0117,KYTZ201010)资助

摘　　要：提高湿地蒸散量估算精度对于研究湿地水分和能量平衡以及区域气候特征具有重要意义。利用Penman、FAO Penman-Monteith、Priestley-Taylor、Blaney-Criddle、Hargreaves、Mc-Cloud、Linacre和Makkink模型,模拟三江平原毛苔草(Carex lasiocarpa)沼泽蒸散量。结果表明,采用FAO推荐的作物系数时,各模型模拟蒸散量明显高于涡度相关系统测量值,平均高估92.8%。利用实测数据修正作物系数后,除Makkink模型外,其余模型的模拟精度都明显提高,其中,基于能量平衡的Penman、FAO Penman-Monteith和Priestley-Taylor模型的模拟结果明显优于基于温度的Blaney-Criddle、Hargreaves、Mc Cloud和Linacre模型。在基于能量平衡的蒸散模型中,Priestley-Taylor模型的模拟结果最接近实测值;在基于温度的蒸散模型中,Hargreaves模型的模拟结果最接近实测值。It is very important for studying surface water and energy balance and regional climate characters to improve the estimation accuracy of evapotranspiration from the wetlands. The evapotranspiration from Carex lasiocarpa marshes in Sanjiang Plain was simulated by the Penman, FAO Penman-Monteith, Priestley-Taylor, Blaney-Criddle, Hargreaves, McCloud, Linacre and Makkink models. The results showed that the values of evapotranspiration simulated with the eight models were significantly higher than those measured with eddy covariance system （averagely 92.8% higher） when crop coefficient recommended by FAO was adopted. With crop coefficient modified by local observation data, estimation accuracy of each model was markedly im- proved except for Makkink model. However, the Penman, FAO Penman-Monteith and Priestley-Taylor mod- els, which are based on energy balance, showed better estimation accuracy than the Blaney-Criddle, Harg- reaves, McCloud and Linacre models, which are based on temperature. Among the models based on energy balance, the values simulated by Priestley-Taylor model were closest to the measured ones. While among the models based on temperature, the values simulated by Hargreaves model were closest to the measured ones.

关 键 词：蒸散量 沼泽 毛苔草 蒸散模型 作物系数 

分 类 号：S161.4[农业科学—农业气象学]