基于叶面积指数和气象因子修正双作物系数法估算夏玉米蒸散量

姚婷月; 王怡宁; 石磊韬; 尼玛扎西; 周超; 鞠琴; 王振龙

引用本文:	姚婷月,王怡宁,石磊韬,等.基于叶面积指数和气象因子修正双作物系数法估算夏玉米蒸散量[J].灌溉排水学报,0,():-.
	yaotingyue,Wang Yining,Shi Leitao,et al.基于叶面积指数和气象因子修正双作物系数法估算夏玉米蒸散量[J].灌溉排水学报,0,():-.

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基于叶面积指数和气象因子修正双作物系数法估算夏玉米蒸散量
姚婷月,王怡宁,石磊韬,等
1.河海大学水文水资源与水利工程科学国家重点实验室;2.南京水利科学研究院;3.西藏自治区水文水资源勘测局阿里水文水资源分局;4.安徽省（水利部淮委）水利科学研究院

摘要:

【目的】为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】结果表明：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和4.66mm/d，2019年分别为5.72和5.67mm/d。2018年应用修正双作物系数法估算夏玉米日ETc的决定系数（R^2 ）、均方根误差（RMSE）、模型效率系数（"E" _"ns" ）、平均绝对误差（AAE）分别为0.89、0.98mm/d、0.86和0.73mm/d；2019年分别为0.89、0.76mm/d、0.89和0.58mm/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：

分类号:P426.2

基金项目:国家重点研发计划资助项目（2021YFC3201104），国家自然科学基金项目（批准号：52179013）

(in Chinese with English abstract)

yaotingyue¹, Wang Yining², Shi Leitao¹, NiMaZaXi³, Zhou Chao⁴, Juqin⁵, Wang Zhenlong''⁴

1.Hohai University;2.Nanjing Hydraulic Research Institute;3.Ali Hydrology and Water Resources Sub-Bureau of Hydrology and Water Resources Survey of Tibet Autonomous Region，Xizang;4.Water Resources Research Institute of Anhui Province;5.State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China

Abstract:

【Objective】To estimate crop transpiration(Tr) and soil evaporation(Es) of summer maize, 【Method】thisstudy based on the recommended by FAO-56 dual crop coefficient model, used leaf area index (LAI), meteorological factors and soil water measured data of Wudaogou Hydrological Experimental Station to dynamically modify the base crop coefficient (Kcb) and soil evaporation coefficient(Ke) in the model. Based on the Penman-Monteith(P-M) model, the reference crop evapotranspiration(ET0) was determined, and then the actual evapotranspiration (ETc) of summer maize was estimated. The applicability of the simulated values was evaluated based on the measured ETc by large scale lysimeter in 2018 and 2019. 【Result】The results showed that the modified dual crop coefficient method is more precise in estimating summer maize evapotranspiration, and the daily mean values of the estimated and measured values of the whole growth period of summer maize in 2018 were 4.89 mm/d and 4.66mm/d, and in 2019 were 5.72 and 5.67mm/d. R^2、RMSE、E_ns and AAE in 2018 were 0.89, 0.98mm/d, 0.86 and 0.73mm/d, respectively, in 2019 were 0.89, 0.76mm/d, 0.89 and 0.58mm/d. 【Conclusion】Therefore, the modified dual crop coefficient method is more precise in estimating summer maize evapotranspiration, and this study can provide effective guidance for the precise management of farmland water in Huaibei Plain.

Key words: evapotranspiration estimation; dual crop coefficient method; leaf area index; meteorological factors; summer maize; lysimeter