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作 者:姚婷月 王怡宁 石磊韬 尼玛扎西 周超 鞠琴 王振龙[4] YAO Tingyue;WANG Yining;SHI Leitao;NiMaZaXi;ZHOU Chao;JU Qin;WANG Zhenlong(State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering,Hohai University,Nanjing 210098,China;Zhejiang Hydrological New Technology Development and Operation Company,Hangzhou 310000,China;Nanjing Hydraulic Research Institute,Nanjing 210029,China;Wudaogou Hydrology and Water Resources Experimental Station,Water Resources Research Institute of Anhui Province,Bengbu 233000,China;Ali Hydrology and Water Resources Sub-Bureau of Hydrology and Water Resources Survey of Tibet Autonomous Region,Ngari Prefecture 850032,China)
机构地区:[1]河海大学水文水资源与水利工程科学国家重点实验室,南京210098 [2]浙江水文新技术开发经营公司,杭州310000 [3]南京水利科学研究院,南京210029 [4]安徽省(水利部淮委)水利科学研究院五道沟水文水资源实验站,安徽蚌埠233000 [5]西藏自治区水文水资源勘测局阿里水文水资源分局,西藏阿里850032
出 处:《灌溉排水学报》2023年第2期1-8,共8页Journal of Irrigation and Drainage
基 金:国家重点研发计划资助项目(2021YFC3201104);国家自然科学基金项目(52179013)。
摘 要:[目的]准确估算夏玉米作物蒸腾(T_(r))与土壤蒸发(E_(s))。[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(K_(cb))和土壤蒸发系数(K_(e))进行动态修正,并基于Penman-Monteith(P-M)模型,确定参考作物蒸散量(ET_(0)),进而估算夏玉米实际蒸散量(ET_(c)),并以2018、2019年大型蒸渗仪实测ET_(c)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ET_(c)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ET_(c)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),2018年分别为0.89、0.98 mm/d、0.86和0.73mm/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。[Objective]Evapotranspiration consists of plant transpiration(T_(r))and soil surface evaporation(E_(s));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 PenmanMonteith(P-M)equation using the dual crop coefficients as recommended by FAO-56.The methods for calculating the base crop coefficient(K_(cb))and soil evaporation coefficient(K_(e))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(ET_(c))from the reference crop evapotranspiration(ET_(0))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 5.67mm/d)in 2019.The R^(2),RMSE,Ensand 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.
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