Evapotranspiraton estimation based on scaling up from leaf stomatal conductance to canopy conductance
Evapotranspiraton estimation based on scaling up from leaf stomatal conductance to canopy conductance
复制标题
基于从叶气孔导度扩大到冠层导度的蒸发蒸腾量估计
DOI：
10.1016/j.agrformet.2011.03.012
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发表时间：
2011-08
影响因子：
6.2
通讯作者：
中科院分区：
文献类型：
--
作者：
基于叶片气孔导度（gs）到冠层导度（gc）的尺度放大估算蒸散量（ET）对于提高农业水资源的有效利用和评价具有重要意义。以华北地区夏玉米田为例，根据实测值分析了土壤水分对主要环境因子的响应，建立了土壤水分的Jarvis模型并进行了校正。然后在加权模型（W模型）的基础上，考虑不同冠层高度遮荫叶片对散射辐射的截获差异以及与光合有效辐射（PAR）的非线性关系，建立加权积分模型（WI模型），以改进积分方程对遮荫叶片散射辐射的估算。同时比较了W模型和WI模型对gc的估计精度，并利用Penman-Monteith方程对场ET进行了估计。结果表明，gs与PAR的变化规律相似，Jarvis模型能较好地描述gs对PAR、水汽压差和气温的响应。与W模型相比，WI模型可以有效提高gc的估计精度，相对误差为4.4%。Penman-Monteith方程用W模型估算的gc值高估了λ ET 9.4%，而用WI模型估算的gc值低估了λ ET 2.3%。因此，Penman-Monteith方程可以用WI模型估算的gc来估算该地区玉米田的蒸散量。
Evapotranspiraton (ET) estimation based on scaling up from leaf stomatal conductance (gs) to canopy conductance (gc) is important in improving effective use and evaluation of agricultural water resources. Taking a summer maize field in north China as an example, after the response ofgsto main environmental factors was analyzed based on the measured value, the Jarvis model forgswas established and calibrated. Then the weighted integration model (WI model) was established on the basis of weighted model (W model) after considering the difference of intercept diffuse radiation by shaded leaves in different canopy heights and nonlinear relationship betweengsand the photosynthetically active radiation (PAR) to improvegcestimation for shaded leaves using integration equation. Meanwhile the estimation accuracy of W and WI models forgcwas compared, and then fieldETwas estimated using the Penman–Monteith equation. Results indicate that the variation ofgswas similar to that ofPARand the Jarvis model could better express the response ofgstoPAR, vapour pressure deficit and air temperature. Compared to the W model, WI model could effectively improve the estimation accuracy ofgc, with the relative error of 4.4%. Penman–Monteith equation overestimatedλETby 9.4% using the estimatedgcby the W model, but underestimatedλETby 2.3% using the estimatedgcby the WI model. Therefore, Penman–Monteith equation can estimate maize fieldETusing the estimatedgcby WI model in the region.
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DOI：
10.1016/b978-0-12-332850-2.50009-8
发表时间：
1982
期刊：
--
影响因子：
--
作者：
J. Norman
通讯作者：
J. Norman
DOI：
--
发表时间：
2009
期刊：
Transactions of the Chinese Society of Agricultural Engineering
影响因子：
--
作者：
Peng Shi-zhang;Pang Guibin;Xu Junzeng;Zhang Zhengliang
通讯作者：
Peng Shi-zhang;Pang Guibin;Xu Junzeng;Zhang Zhengliang
影响因子：
5.4
作者：
Legates, DR;McCabe, GJ
通讯作者：
McCabe, GJ
DOI：
--
发表时间：
1988
期刊：
--
影响因子：
--
作者：
J. T. Ball
通讯作者：
J. T. Ball
DOI：
10.2134/agronmonogr31
发表时间：
1991-06
期刊：
--
影响因子：
--
作者：
J. Hanks;J. Ritchie
通讯作者：
J. Hanks;J. Ritchie