Artificial neural network models for estimating regional reference evapotranspiration based on climate factors

X Dai, H Shi, Y Li, Z Ouyang… - Hydrological Processes: An …, 2009 - Wiley Online Library
Evapotranspiration (ET) is one of the basic components of the hydrologic cycle and is
essential for estimating irrigation water requirements. In this study, an artificial neural …
被引用次数：85 相关文章

[引用][C] Artificial neural network models for estimating regional reference evapotranspiration based on climate factors

X DAI, H SHI, Y LI, ZHU OUYANG… - Hydrological processes …, 2009 - pascal-francis.inist.fr
Keyword (en) climate effects air climate correlation coefficient climatic controls hydrologic
cycle surface water errors evapotranspiration humidity irrigation arid environment humid …
[PDF] core.ac.uk

[PDF][PDF] Artificial neural network models for estimating regional reference evapotranspiration based on climate factors

X Dai, H Shi, Y Li, Z Ouyang, Z Huo - Hydrol. Process, 2009 - core.ac.uk
Evapotranspiration (ET) is one of the basic components of the hydrologic cycle and is
essential for estimating irrigation water requirements. In this study, an artificial neural …

[引用][C] Artificial neural network models for estimating regional reference evapotranspiration based on climate factors

X Dai, H Shi, Y Li, Z Ouyang… - Hydrological Processes, 2009 - ui.adsabs.harvard.edu
Artificial neural network models for estimating regional reference evapotranspiration based on
climate factors - NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS …

[引用][C] Artificial neural network models for estimating regional reference evapotranspiration based on climate factors

X Dai, H Shi, Y Li, Z Ouyang, Z Huo - 2009