Arid
DOI10.3390/w9030155
Temporal Downscaling of Crop Coefficients for Winter Wheat in the North China Plain: A Case Study at the Gucheng Agro-Meteorological Experimental Station
Wang, Peijuan1; Qiu, Jianxiu2; Huo, Zhiguo1; Anderson, Martha C.3; Zhou, Yuyu4; Bai, Yueming1; Liu, Tao1; Ren, Sanxue1; Feng, Rui5; Chen, Pengshi6
通讯作者Qiu, Jianxiu
来源期刊WATER
ISSN2073-4441
出版年2017
卷号9期号:3
英文摘要

The crop coefficient (K-c) is widely used for operational estimation of actual evapotranspiration (ETa) and crop water requirements. The standard method for obtaining K-c is via a lookup table from FAO-56 (Food and Agriculture Organization of the United Nations Irrigation and Drainage Paper No. 56), which broadly treats K-c as a function of four crop-growing stages. However, the distinctive physiological characteristics of overwintering crops, such as winter wheat (Triticum aestivum L.), which is extensively planted in the North China Plain (NCP), are not addressed in this method. In this study, we propose a stage-wise method that accounts for K-c variations for winter wheat at each critical phenological stage, thereby estimating K-c at finer temporal scales. Compared with the conventional FAO method, the proposed stage-wise method successfully captures the bimodal pattern in K-c time series for winter wheat, which is shown at both ten-day and phenological time scales. In addition, the accuracies of the proposed stage-wise K-c method and the FAO method were evaluated using micro-meteorological measurements of ETa collected at the Gucheng agro-meteorological experimental station in the NCP. Using a leave-one-out strategy, the evaluation revealed that the stage-wise method significantly outperformed the FAO method at both daily and critical phenological time scales, with root-mean-square errors in ETa for the stage-wise method and the FAO method being 0.07 mmday(-1) and 0.16 mmday(-1), respectively, at the daily time scale, and 0.01 mmday(-1) and 0.27 mmday(-1) at the critical phenological time scale. Generally, the FAO method underestimates ETa during the initial stage and overestimates ETa during both the development and mid-season stages. It is shown that the proposed stage-wise method is important for the water-stressed NCP where precision irrigation is highly desirable, especially during the critical phenological stages. Results from this study provide insight into accurate estimation of water requirements for winter wheat at phenological time scales.


英文关键词winter wheat evapotranspiration crop coefficients phenological stages stage-wise method North China Plain
类型Article
语种英语
国家Peoples R China ; USA
收录类别SCI-E
WOS记录号WOS:000398721300006
WOS关键词STANDARD METEOROLOGICAL DATA ; ENERGY-BALANCE CLOSURE ; EDDY-COVARIANCE ; WATER-USE ; PHRAGMITES-AUSTRALIS ; ARID REGION ; EVAPOTRANSPIRATION ; MAIZE ; FLUXES ; VALIDATION
WOS类目Water Resources
WOS研究方向Water Resources
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/202789
作者单位1.Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China;
2.Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China;
3.ARS, Hydrol & Remote Sensing Lab, USDA, Beltsville, MD 20705 USA;
4.Iowa State Univ, Dept Geol & Atmospher Sci, Ames, IA 50011 USA;
5.China Meteorol Adm, Inst Atmospher Environm, Shenyang 110166, Peoples R China;
6.Inst Meteorol Sci Liaoning Prov, Shenyang 110166, Peoples R China
推荐引用方式
GB/T 7714
Wang, Peijuan,Qiu, Jianxiu,Huo, Zhiguo,et al. Temporal Downscaling of Crop Coefficients for Winter Wheat in the North China Plain: A Case Study at the Gucheng Agro-Meteorological Experimental Station[J],2017,9(3).
APA Wang, Peijuan.,Qiu, Jianxiu.,Huo, Zhiguo.,Anderson, Martha C..,Zhou, Yuyu.,...&Chen, Pengshi.(2017).Temporal Downscaling of Crop Coefficients for Winter Wheat in the North China Plain: A Case Study at the Gucheng Agro-Meteorological Experimental Station.WATER,9(3).
MLA Wang, Peijuan,et al."Temporal Downscaling of Crop Coefficients for Winter Wheat in the North China Plain: A Case Study at the Gucheng Agro-Meteorological Experimental Station".WATER 9.3(2017).
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