| 引用本文: | 姚婷月,王怡宁,石磊韬,等.利用叶面积指数和气象因子修正双作物系数估算夏玉米蒸散量[J].灌溉排水学报,2023,42(2):1-8. |
| YAO Tingyue,WANG Yining,SHI Leitao,et al.利用叶面积指数和气象因子修正双作物系数估算夏玉米蒸散量[J].灌溉排水学报,2023,42(2):1-8. |
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| 摘要: |
| 【目的】准确估算夏玉米作物蒸腾（Tr）与土壤蒸发（Es）。【方法】本研究基于FAO-56推荐的双作物系数模型，应用五道沟水文实验站叶面积指数（LAI）、气象因子以及土壤水分实测数据，对模型中的基础作物系数（Kcb）和土壤蒸发系数（Ke）进行动态修正，并基于Penman-Monteith（P-M）模型，确定参考作物蒸散量（ET0），进而估算夏玉米实际蒸散量（ETc），并以2018、2019年大型蒸渗仪实测ETc对估算值进行精度评价。【结果】修正后的双作物系数法估算夏玉米蒸散量较为准确，2018年夏玉米全生育期ETc估算与实测的日均值分别为4.89 mm/d和4.66 mm/d，2019年分别为5.72 mm/d和5.67 mm/d。应用修正双作物系数法估算夏玉米日ETc的决定系数（R2）、均方根误差（RMSE）、模型效率系数（Ens）、平均绝对误差（AAE），2018年分别为0.89、0.98 mm/d、0.86和0.73 mm/d；2019年分别为0.89、0.76 mm/d、0.89和0.58 mm/d。【结论】因此，修正后的双作物系数法能够较为准确的估算夏玉米蒸散量，该研究可为淮北平原农田水分精准管理提供科学依据。 |
| 关键词: 蒸散估算；双作物系数法；叶面积指数；气象因子；夏玉米；蒸渗仪 |
| DOI：10.13522/j.cnki.ggps.2022007 |
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| Modifying the Dual Crop Coefficients with Leaf Area Index and Meteorological Factors to Improve the Estimated Evapotranspiration from Maize Fields |
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YAO Tingyue, WANG Yining, SHI Leitao, NiMaZaXi, ZHOU Chao, JU Qin, WANG Zhenlong
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1. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;
2. Zhejiang Hydrological New Technology Development and Operation Company, Hangzhou 310000, China;
3. Nanjing Hydraulic Research Institute, Nanjing 210029, China; 4. Wudaogou Hydrology and Water Resources Experimental Station, Water Resources Research Institute of Anhui Province, Bengbu 233000, China; 5. Ali Hydrology and Water Resources Sub-Bureau of Hydrology and Water Resources Survey of Tibet Autonomous Region, Ngari Prefecture 850032, China
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| Abstract: |
| 【Objective】Evapotranspiration consists of plant transpiration (Tr) and soil surface evaporation (Es); It is a critical component in the hydrological cycle, often estimated using meteorological and plant data. We present a modified method in this paper to improve its calculation.【Method】The method was based on the Penman-Monteith (P-M) equation using the dual crop coefficients as recommended by FAO-56. The methods for calculating the base crop coefficient (Kcb) and soil evaporation coefficient (Ke) in the equation are modified using the leaf area index (LAI), meteorological factors and soil water content. The modified model is then used to estimate real evapotranspiration (ETc) from the reference crop evapotranspiration (ET0) calculated from the P-M model. We test the model against data measured in 2018—2019 from large scale lysimeters grown with summer maize at the Wudaogou Hydrological Experimental Station in Anhui province.【Result】The modified dual crop coefficient model improved the accuracy of the estimated evapotranspiration, with the estimated average daily evapotranspiration being 4.89 mm/d (the measured was 4.66 mm/d) in 2018, and 5.72 mm/day (the measured was 5.67 mm/d) in 2019. The R2, RMSE, Ens and AAE of the modified model were 0.89, 0.98 mm/d, 0.86 and 0.73 mm/d, respectively, in 2018; and 0.89, 0.76 mm/d, 0.89 and 0.58 mm/d, respectively, in 2019.【Conclusion】The modified dual crop coefficient method is robust and improves the accuracy of the estimated evapotranspiration from summer maize fields, compared with the traditional method . |
| Key words: evapotranspiration estimation; dual crop coefficient method; leaf area index; meteorological factors; summer maize; lysimeter |
