Paper
10 July 2009 A GIS-based model for estimating regional potential evapotranspiration in complex terrains
Xin-yao Zhou, Yong-hui Yang, Xiao-hua Hao
Author Affiliations +
Proceedings Volume 7491, PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering; 74910Z (2009) https://doi.org/10.1117/12.836957
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China
Abstract
The estimation of regional reference evapotranspiration (ET0) is crucial for agricultural water assessment. Traditional methods based on point-specific ET0 from meteorological stations are not suitable for complex terrains. Advances of GIS technology provide such possibility. For very complex terrains, however, topography can have considerable effect on meteorological factors such as air temperature and solar radiation. In this paper, spatially distributed daily ET0 was estimated by FAO Penman-Monteith equation, while the effect of topography on meteorological factors was taken into consideration. This was achieved through spatial interpolation of maximum and minimum air temperature, wind speed, relative humidity and sunshine hours. Solar radiation was modeled at grid level by adjusting the effect of specific site conditions prior to estimating ET0. To test the reliability and applicability of the model, spatial distribution of ET0 (resolution 90 × 90 m) was generated for taking Fengning County of North China as an example. There was a good agreement between the site conditions and model simulated ET0. This study demonstrates the possibility of incorporating topography in the estimation of ET0.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xin-yao Zhou, Yong-hui Yang, and Xiao-hua Hao "A GIS-based model for estimating regional potential evapotranspiration in complex terrains", Proc. SPIE 7491, PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering, 74910Z (10 July 2009); https://doi.org/10.1117/12.836957
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KEYWORDS
Solar radiation

Solar radiation models

Meteorology

Geographic information systems

Agriculture

Temperature metrology

Atmospheric modeling

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