Temperature-based approaches for estimating reference evapotranspiration

被引:213
作者
Trajkovic, S [1 ]
机构
[1] Univ Nish, Fac Civil Engn, Nish 18000, Serbia
关键词
evapotranspiration; temperature; neural networks; calibration;
D O I
10.1061/(ASCE)0733-9437(2005)131:4(316)
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
The Food and Agriculture Organization of the United Nations (FAO) has proposed using the Penman-Monteith (FAO-56 PM) method as the standard method for estimating reference evapotranspiration (ETO), and for evaluating other methods. The basic obstacle to widely using this method is the numerous required data that are not available at many weather stations. The maximum and minimum air temperatures constitute a set of minimum data necessary for the estimation of ETO. The basic goal of the paper is to examine whether it is possible to attain the reliable estimation of ETO only on the basis of the temperature data. This goal was reached by the evaluation of the reliability of four temperature-based approaches [radial basis function (RBF) network, Thornthwaite, Hargreaves, and reduced set Penman-Monteith methods] as compared to the FAO-56 PM method. The seven weather stations selected for this study are located in Serbia (Southeast Europe). The Thornthwaite, Hargreaves, and reduced set Penman-Monteith methods mostly underestimated or overestimated ETO obtained by the FAO-56 PM method. In this study, methods were calibrated using the standard FAO-56 PM method. However, the RBF network better predicted FAO-56 PM ETO than calibrated temperature-based methods at most locations. It gives reliable results in all locations and it has proven to be the most adjustable to the local climatic conditions. These results are of significant practical use because the adaptive temperature-based RBF network can be used when relative humidity, radiation, and wind speed data are not available.
引用
收藏
页码:316 / 323
页数:8
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