Comparison of ELM, GANN, WNN and empirical models for estimating reference evapotranspiration in humid region of Southwest China

被引:161
作者
Feng, Yu [1 ]
Cui, Ningbo [2 ,3 ,4 ]
Zhao, Lu [2 ,3 ]
Hu, Xiaotao [5 ]
Gong, Daozhi [1 ]
机构
[1] Chinese Acad Agr Sci, State Engn Lab Efficient Water Use Crops & Disast, MOA Key Lab Dryland Agr, Inst Environm & Sustainable Dev Agr, Beijing 100193, Peoples R China
[2] Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610064, Peoples R China
[3] Sichuan Univ, Coll Water Resource & Hydropower, Chengdu 610065, Peoples R China
[4] Prov Key Lab Water Saving Agr Hill Areas Southern, Chengdu, Peoples R China
[5] Northwest A&F Univ, Minist Educ, Key Lab Agr Soil & Water Engn Arid & Semiarid Are, Yangling, Shaanxi, Peoples R China
关键词
Reference evapotranspiration; Extreme learning machine; Backpropagation neural networks; Wavelet neural networks; Southwest China; ARTIFICIAL NEURAL-NETWORKS; EXTREME LEARNING-MACHINE; GENETIC ALGORITHMS; EVAPORATION; TEMPERATURE; EQUATIONS; RADIATION; FUZZY; WATER;
D O I
10.1016/j.jhydrol.2016.02.053
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Reference evapotranspiration (ET0) is an essential component in hydrological ecological processes and agricultural water management. Accurate estimation of ET0 is of importance in improving irrigation efficiency, water reuse and irrigation scheduling. FAO-56 Penman-Monteith (P-M) model is recommended as the standard model to estimate ET. Nevertheless, its application is limited due to the lack of required meteorological data. In this study, trained extreme learning machine (ELM), backpropagation neural networks optimized by genetic algorithm (GANN) and wavelet neural networks (WNN) models were developed to estimate ET0, and the performances of ELM, GANN,. WNN, two temperature-based (Hargreaves and modified Hargreaves) and three radiation-based (Makkink, Priestley-Taylor and Ritchie) ET0 models in estimating ET were evaluated in a humid area of Southwest China. Results indicated that among the new proposed models, ELM and GANN models were much better than WNN model, and the temperature based ELM and GANN models had better performance than Hargreaves and modified Hargreaves models, radiation-based ELM and GANN models had higher precision than Makkink, Priestley-Taylor and Ritchie models. Both of radiation-based ELM (RMSE ranging 0.312-0.332 mm d(-1), E-ns ranging 0.918-0.931, MAE ranging 0.260-0.300 mm d(-1)) and GANN models (RMSE ranging 0300-0.333 mm d(-1), E-ns ranging 0.916-0.941, MAE ranging 0.2580-0.303 mm d(-1)) could estimate ET0 at an acceptable accuracy level, and are highly recommended for estimating ET0 without adequate meteorological data. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:376 / 383
页数:8
相关论文
共 44 条
[41]   New method for estimating reference evapotranspiration and comparison with alternative methods in a fruit-producing hub in the semi-arid region of Brazil [J].
de Souza, Luciana Sandra Bastos ;
Silva, Maiara Tatiane Lima ;
Alba, Elisiane ;
de Moura, Magna Soelma Beserra ;
da Cruz Neto, Jose Francisco ;
de Souza, Carlos Andre Alves ;
da Silva, Thieres George Freire .
THEORETICAL AND APPLIED CLIMATOLOGY, 2022, 149 (1-2) :593-602
[42]   Reference evapotranspiration estimation in hyper-arid regions via D-vine copula based-quantile regression and comparison with empirical approaches and machine learning models [J].
Abdallah, Mohammed ;
Mohammadi, Babak ;
Zaroug, Modathir A. H. ;
Omer, Abubaker ;
Cheraghalizadeh, Majid ;
Eldow, Mohamed E. E. ;
Duan, Zheng .
JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2022, 44
[43]   Comparison of Remote Sensing based Multi-Source ET Models over Cropland in a Semi-Humid Region of China [J].
Zhuang, Qifeng ;
Wang, Hao ;
Xu, Yuqi .
ATMOSPHERE, 2020, 11 (04)
[44]   Comparison of different reference evapotranspiration (ET0) models and determination of crop-coefficients of french bean (Phesiolus vulgaris.) in mid hill region of Meghalaya [J].
Tahasbildar, M. ;
Bora, Pradip K. ;
Ray, Lala I. P. ;
Thakuria, D. .
JOURNAL OF AGROMETEOROLOGY, 2017, 19 (03) :233-237