Case Studies
Dec 13, 2012

Combining the Crop Coefficient of Winter Wheat and Summer Maize with a Remotely Sensed Vegetation Index for Estimating Evapotranspiration in the North China Plain

Publication: Journal of Hydrologic Engineering
Volume 19, Issue 1

Abstract

Estimates of actual evapotranspiration (ETc) in the wheat and maize fields are essential in effective planning of irrigation water use in the North China Plain. A widely used method for ETc estimation in agriculture is crucially dependent on the determination of crop coefficient curves. Estimating the coefficient coefficients from vegetation index (VI) is useful for regional ETc simulation because the VI can represent the actual crop conditions and capture the spatial variability. In this study, the basal crop coefficient and soil evaporation coefficient were combined with the commonly used VI obtained from satellite sensor based on the observed data from a flux tower. The basal crop coefficient had a fairly good linear relationship with the VI, and the soil evaporation coefficient was well related to the vegetation fraction, which was calculated from the VI. Using the VI-derived crop coefficient curves, ETc can be well simulated by a widely used ETc estimation method. Moreover, simulation of ETc was improved by the VI-derived basal crop coefficient curves. The new relationships between the crop coefficients and VI employed in the dual crop coefficient approach have great potential in the estimation of regional ETc in the region.

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Acknowledgments

We thank Dr. Shen Yanjun of the Chinese Academy of Sciences for providing the observed data from the Luancheng site. This research was supported by the National Natural Science Funds for Distinguished Young Scholar (Project No. 51025931) and the National Natural Science Foundation of China (Project Nos. 50939004 and 51209117).

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 19Issue 1January 2014
Pages: 243 - 251

History

Received: Jun 22, 2012
Accepted: Dec 11, 2012
Published online: Dec 13, 2012
Discussion open until: May 13, 2013
Published in print: Jan 1, 2014

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Huimin Lei
State Key Laboratory of Hydroscience and Engineering, Dept. of Hydraulic Engineering, Tsinghua Univ., Beijing 100084, China.
Professor, State Key Laboratory of Hydroscience and Engineering, Dept. of Hydraulic Engineering, Tsinghua Univ., Beijing 100084, China (corresponding author). E-mail: [email protected]

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