Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.13128/ijam-971 |
Using Neuro-fuzzy and linear models to estimate reference Evapotranspiration in South region of Algeria (A comparative study) | |
Laaboudi, Abdelkader; Slama, Abdeldjalil | |
通讯作者 | Laaboudi, A (corresponding author), Natl Inst Res Agron Algeria, Expt Stn Adrar, Adrar, Algeria. |
来源期刊 | ITALIAN JOURNAL OF AGROMETEOROLOGY-RIVISTA ITALIANA DI AGROMETEOROLOGIA
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ISSN | 2038-5625 |
出版年 | 2020 |
卷号 | 25期号:2页码:55-64 |
英文摘要 | In order to estimate daily reference evapotranspiration (ETo) in arid region of Algeria, Adaptive Neuro-Fuzzy Inference System (ANFIS) and regression methods as Robust Regression (RR), Bayesian Regression (BR) and Multiple Linear Regression (MLR) techniques were used to develop models based on four explanatory climatic factors: temperature, relative humidity, wind speed and sunshine duration. These factors have been used as inputs, and ETo values computed by the Penman-Monteith formula have been used as outputs. Determination coefficient (R-2), root mean square error (RMSE), Mean absolute error (MAE), mean absolute relative error (MARE) and Nash-Sutcliffe efficiency coefficient (NSE) were used to evaluate the performance of models developed with different input configurations. We concluded that RR, BR and MLR models were able to successfully estimate ETo, but ANFIS technique seems to be more powerful. Thus, the obtained results by the best ANFIS model, during the test phase are: 0.98, 0.27 (mm/day)(2), 0.36 (mm/day) and 5.52 % respectively for R, MAE, RMSE and MARE. |
英文关键词 | Reference evapotranspiration arid regions Adaptive Neuro-Fuzzy Inference System robust regression Bayesian regression Penman-Monteith formula |
类型 | Article |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:000614036000005 |
WOS关键词 | LIMITED CLIMATIC DATA ; ANFIS ; REGRESSION ; NETWORK ; PERFORMANCE |
WOS类目 | Agronomy ; Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Agriculture ; Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/348947 |
作者单位 | [Laaboudi, Abdelkader] Natl Inst Res Agron Algeria, Expt Stn Adrar, Adrar, Algeria; [Slama, Abdeldjalil] Univ Adrar, Lab Math Modeling & Applicat LAMMA, Adrar, Algeria |
推荐引用方式 GB/T 7714 | Laaboudi, Abdelkader,Slama, Abdeldjalil. Using Neuro-fuzzy and linear models to estimate reference Evapotranspiration in South region of Algeria (A comparative study)[J],2020,25(2):55-64. |
APA | Laaboudi, Abdelkader,&Slama, Abdeldjalil.(2020).Using Neuro-fuzzy and linear models to estimate reference Evapotranspiration in South region of Algeria (A comparative study).ITALIAN JOURNAL OF AGROMETEOROLOGY-RIVISTA ITALIANA DI AGROMETEOROLOGIA,25(2),55-64. |
MLA | Laaboudi, Abdelkader,et al."Using Neuro-fuzzy and linear models to estimate reference Evapotranspiration in South region of Algeria (A comparative study)".ITALIAN JOURNAL OF AGROMETEOROLOGY-RIVISTA ITALIANA DI AGROMETEOROLOGIA 25.2(2020):55-64. |
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