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Estimating daily actual evapotranspiration of a rice–wheat rotation system in typical farmland in the Huai River Basin using a two-step model and two one-step models |
LI Meng1, 2, CHU Rong-hao3, Abu Reza Md. Towfiqul ISLAM4, JIANG Yue-lin1, SHEN Shuang-he5 |
1 School of Resources and Environment, Anhui Agricultural University, Hefei 230036, P.R.China
2 Hefei Scientific Observing and Experimental Station of Agro-Environment, Ministry of Agriculture and Rural Affairs, P.R.China
3 Anhui Public Meteorological Service Center, Anhui Meteorological Bureau, Hefei 230031, P.R.China
4 Department of Disaster Management, Begum Rokeya University, Rangpur 5400, Bangladesh
5 Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD)/Jiangsu Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, P.R.China |
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摘要
本研究采用淮河流域典型农田生态系统(寿县)冬小麦和水稻生长季内的3年通量观测数据(2007、2008和2009年),旨在评估三种模型模拟农田日蒸散量的性能。第一种是两步模型(PM−Kc模型),另外两种是一步模型(Rana−Katerji(R-K)模型和advection-aridity(AA)模型)。结果表明,淮河流域冬小麦和水稻生长季内的涡度相关数据的能量闭合度是合理的,介于0.84~0.91,R2约为0.80。冬小麦日蒸散量呈现先缓慢下降后迅速上升的变化趋势,而水稻日蒸散量呈现先上升后下降的变化趋势。在PM-Kc模型中,采用校正作物系数(Kc)的模拟性能优于采用联合国粮农组织(FAO)推荐的Kc的模拟性能。R-K模型和AA模型中校准的关键参数具有较好的通用性。经过校准后,PM-Kc模型的模拟性能最佳,R-K和AA模型均低估了冬小麦和水稻的日蒸散量。与R-K模型相比,AA模型的模拟性能较好,尤其在水稻日蒸散量模拟中。总体而言,本研究揭示了PM-Kc模型在淮河流域以及全球其他类似气候地区估算水稻和小麦作物需水量时的稳定性。
Abstract The objective of this study is to evaluate the performance of three models for estimating daily evapotranspiration (ET) by employing flux observation data from three years (2007, 2008 and 2009) during the growing seasons of winter wheat and rice crops cultivated in a farmland ecosystem (Shouxian County) located in the Huai River Basin (HRB), China. The first model is a two-step model (PM−Kc); the other two are one-step models (e.g., Rana−Katerji (R−K) and advection-aridity (AA)). The results showed that the energy closure degrees of eddy covariance (EC) data during winter wheat and rice-growing seasons were reasonable in the HRB, with values ranging from 0.84 to 0.91 and R2 of approximately 0.80. Daily ET of winter wheat showed a slow decreasing trend followed by a rapid increase, while that of rice presented a decreasing trend after an increase. After calibrating the crop coefficient (Kc), the PM–Kc model performed better than the model using the Kc recommended by the Food and Agricultural Organization (FAO). The calibrated key parameters of the R−K model and AA model showed better universality. After calibration, the simulation performance of the PM−Kc model was satisfactory. Both the R−K model and AA model underestimated the daily ET of winter wheat and rice. Compared with that of the R−K model, the simulation result of the AA model was better, especially in the simulation of daily ET of rice. Overall, this research highlighted the consistency of the PM−Kc model to estimate the water demand for rice and wheat crops in the HRB and in similar climatic regions in the world.
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Received: 24 December 2019
Accepted:
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Fund: This research was supported by the National Natural Science Foundation of China (41905100), the Anhui Provincial Natural Science Foundation, China (1908085QD171), the Anhui Agricultural University Science Foundation for Young Scholars, China (2018zd07), the Anhui Agricultural University Introduction and Stabilization of Talent Fund, China (yj2018-57), the National Key Research and Development Program of China (2018YFD0300905) and the Postgraduate Research and Practice Innovation Program of Jiangsu Province, China (KYCX17_0885). |
Corresponding Authors:
Correspondence CHU Rong-hao, Mobile: +86-18055173863, E-mail: ronghao_chu@163.com; Abu Reza Md. Towfiqul ISLAM, E-mail: towfiq_dm@brur.ac.bd
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About author: LI Meng, Mobile: +86-15955177380, E-mail: mengli@ahau.edu.cn; |
Cite this article:
LI Meng, CHU Rong-hao, Abu Reza Md. Towfiqul ISLAM, JIANG Yue-lin, SHEN Shuang-he .
2021.
Estimating daily actual evapotranspiration of a rice–wheat rotation system in typical farmland in the Huai River Basin using a two-step model and two one-step models. Journal of Integrative Agriculture, 20(1): 274-288.
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