夏玉米蒸散优化参数模型及参数敏感性分析
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摘要
分别采用2种不同的冠层阻力模型和土壤阻力模型,组合成4种Shuttleworth-Wallace(S-W)模型,模拟夏玉米农田灌浆期的逐时蒸散量,以涡度相关法观测蒸散量为实测值检验模型改进的效果,找出最优冠层阻力模型和土壤阻力模型,并分析最优S-W模型对各阻力参数的敏感性。结果表明:李俊改进型有效叶面积指数冠层阻力模型和Sellers土壤阻力模型组合的S-W模型模拟效果最好,S-W模型估算玉米田蒸散的精度显著提高,蒸散发模拟值与实测值的相关系数、一致性指数更接近1,蒸散发模拟的相对误差和均方根误差变小。敏感性分析表明,在计算各个阻力参数模型中,S-W1模型估算蒸散发对冠层阻力最敏感,其次是土壤阻力和有效叶面积指数;采用改进型有效叶面积指数冠层阻力模型和Sellers土壤阻力参数模型组合后,在一定程度上提高了模型精度,提高了计算准确率。
Four Shuttleworth-Wallace( S-W) models were used to simulate hourly evapotranspiration( ET)in the grain filling stage of summer maize by different canopy resistance models and soil surface resistance model.In order to determine the optimum model of canopy resistance and soil surface resistance,the effect of the improved model was measured by eddy correlation method of evapotranspiration. The sensitivity of the optimal resistance parameters was also analyzed. The results showed thatthe improved S-W model had the best simulation results. After S-W model was improved,the accuracy of estimation of maize field evapotranspiration was significantly improved. The correlation coefficient and the consistency index of ET simulated and measured values were close to 1,and the relative error and root mean square error of ET simulation became smaller. Sensitivity analysis showed that the canopy resistance was the most sensitive parameter,the second was the soil surface resistance,and the third was the effective leaf area index. To a certain degree,the model precision was improved by using the improved effective leaf area index canopy resistance model and the soil surface resistance model,which can improve the accuracy of the model calculation.
Four Shuttleworth-Wallace( S-W) models were used to simulate hourly evapotranspiration( ET)in the grain filling stage of summer maize by different canopy resistance models and soil surface resistance model.In order to determine the optimum model of canopy resistance and soil surface resistance,the effect of the improved model was measured by eddy correlation method of evapotranspiration. The sensitivity of the optimal resistance parameters was also analyzed. The results showed thatthe improved S-W model had the best simulation results. After S-W model was improved,the accuracy of estimation of maize field evapotranspiration was significantly improved. The correlation coefficient and the consistency index of ET simulated and measured values were close to 1,and the relative error and root mean square error of ET simulation became smaller. Sensitivity analysis showed that the canopy resistance was the most sensitive parameter,the second was the soil surface resistance,and the third was the effective leaf area index. To a certain degree,the model precision was improved by using the improved effective leaf area index canopy resistance model and the soil surface resistance model,which can improve the accuracy of the model calculation.
引文
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[40]李放,沈彦俊.地表遥感蒸散发模型研究进展[J].资源科学,2014,36(7):1478-1488.
[41]Sun S F.Moisture and Heat Transport in a Soil Layer Forced by Atmospheric Conditions[D].M.S.Thesis,Dept.of Civil Engineering,USA:University of Connecticut,1982.
[42]Camillo P J,Gurney R J,Camillo P J.A resistance parameter for bare-soil evaporation models[J].Soil Science,1986,141(2):95-105.
[43]Anadranistakis M,Liakatas A,Kerkides P,et al.Crop water requirement model tested for crops grown in Greece[J].Agricultural Water Management,2000,45(3):297-316.
[44]cs F.A comparative analysis of transpiration and bare soil evaporation[J].Boundary-Layer Meteorology,2003,109(2):139-162.
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[46]林家鼎,孙菽芬.土壤内水分流动、温度分布及其表面蒸发效应的研究——土壤表面蒸发阻抗的探讨[J].水利学报,1983,(7):1-7.
[47]Sun Shufen.Moisture and heat transport in a soil layer forced by atmospheric conditions[D]:USA:University of Connecticut,1982.
[48]Sellers P J,Heiser M D,HALL F G.Relationship between surface conductance and spectral vegetation indices at intermediate(100 m2~15 m2)length scales[J].J.Geophys.Res.FIFE special issue,1992,(97):19033-19060.
[49]Shuttleworth W J,Gurney R J.The theoretical relationship between foliage temperature and canopy resistance in sparse crops[J].Q.J.R.Meteorol.Soc,1990,116(492):498-451.
[50]Zhan X,Kustas W P,Humes K S.An intercomparison study on models of sensible heat flux over partial canopy surfaces with remotely sensed surface temperature[J].Remote Sensing of Environment,1997,58(3):242-256.
[51]Janssen P H M,Heuberger P S C.Calibration of process-oriented models[J].Ecological Modelling,1995,83(1):55-66.
[52]Camillo P J,Gurney R J.A resistance parameter for bare soil evaporation models[J].Soil Science,1986,141(2):95-105.
[53]刘斌,胡继超,张雪松,等.稻田逐时蒸散量的测定及其模拟方法的比较[J].灌溉排水学报,2014,33(4):369-373.
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[61]董军,岳宁,党慧慧,等.应用修订的Shuttleworth-Wallace模型对半干旱区覆膜玉米蒸散的研究[J].中国生态农业学报,2016,24(5):674-683.
[2]郭晓寅,程国栋.遥感技术应用于地表面蒸散发的研究进展[J].地球科学进展,2004,19(1):107-114.
[3]崔晓军,薛昌颖,杨晓光,等.不同水分处理旱稻农田蒸散特征和水分利用效率[J].农业工程学报,2008,24(4):49-54.
[4]汪秀敏.农田蒸散量测定与计算方法研究[D].南京:南京信息工程大学,2012.
[5]吕厚荃,于贵瑞.几种实际蒸散计算方法在土壤水分模拟中的应用[J].资源科学,2001,23(6):85-90.
[6]Penman H L.Natural evaporation from open water,hare soil and grass[J].Proceedings of the Royal Society of London,1948,193(1032):120-145.
[7]Monteith J L.Resistance of a partially wet canopy:Whose equation fails?[J].Boundary-Layer Meteorology,1977,12(3):379-383.
[8]Monteith J L.Evaporation and environment[J].Symposia of the Society for Experimental Biology,1965,19(19):205-234.
[9]Daamen C C.Two source model of surface fluxes for millet fields in Niger[J].Agricultural and Forest Meteorology,1997,83(3):205-230.
[10]米娜,陈鹏狮,张玉书,等.几种蒸散模型在玉米农田蒸散量计算中的应用比较[J].资源科学,2009,31(9):1599-1606.
[11]郭映.应用Shuttleworth-Wallace双源模型对玉米蒸散的研究[D].兰州:兰州大学,2015.
[12]Kato T,Kimura R,Kamichika M.Estimation of evapotranspiration,transpiration ratio and water-use efficiency from a sparse canopy using a compartment model[J].Agricultural Water Management An International Journal,2004,65(3):173-191.
[13]赵丽雯,赵文智,吉喜斌.西北黑河中游荒漠绿洲农田作物蒸腾与土壤蒸发区分及作物耗水规律[J].生态学报,2015,35(4):1114-1123.
[14]刘绍民,孙中平,李小文,等.蒸散量测定与估算方法的对比研究[J].自然资源学报,2003,18(2):161-167.
[15]贾红,胡继超,张佳宝,等.应用Shuttleworth-Wallace模型对夏玉米农田蒸散的估计[J].灌溉排水学报,2008,27(4):77-80.
[16]刘荣花,赵国强.现代农业气象服务手册[M].北京:气象出版社.2014:21-25.
[17]刘战东,肖俊夫,刘祖贵,等.高产条件下夏玉米需水量与需水规律研究[J].节水灌溉,2011,(6):4-6.
[18]李春,何洪林,刘敏,等.China Flux CO2通量数据处理系统与应用[J].地球信息科学,2008,10(5):557-565.
[19]徐自为,刘绍民,宫丽娟,等.涡动相关仪观测数据的处理与质量评价研究[J].地球科学进展,2008,23(4):357-370.
[20]徐自为,刘绍民,徐同仁,等.涡动相关仪观测蒸散量的插补方法比较[J].地球科学进展,2009,24(4):372-382.
[21]Vickers D,Mahrt L.Quality control and flux sampling problems for tower and aircraft data[J].Journal of Atmospheric and Oceanic Technology,1997,14(3):514-526.
[22]郭建侠,汴林根,戴永久.在华北玉米生育期观测的16 m高度CO2浓度及通量特征[J].大气科学,2007,31(4):695-707.
[23]孙晓敏,朱治林,许金萍,等.涡度相关测定中平均周期参数的确定及其影响分析[J].中国科学D辑,地球科学,2004,34(S2):30-36.
[24]朱治林,孙晓敏,袁国富,等.非平坦下垫面涡度相关通量的校正方法及其在China FLLUX中的应用[J].中国科学D辑,地球科学,2004,34(A02):37-45.
[25]刘敏,何洪林,于贵瑞,等.数据处理方法不确定性对CO2通量组分估算的影响[J].应用生态学报,2010,21(9):2389-2396.
[26]王春林,周国逸,王旭,等.复杂地形条件下涡度相关法通量测定修正方法分析[J].中国农业气象,2007,28(3):233-240.
[27]Falge E,Baldocchi D D,Olson R,et al.Gap-filling strategies for defensible annual sums of net ecosystem echange[J].Agricultural and Foresrt Meteorology,2001,107(1):43-69.
[28]Falge E,Baldocchi D D,Olson R,et al.Gap-filling strategies for long-term energy flux data sets[J].Agricultural and Forest Meteorology,2001,107(1):71-77.
[29]国家气象局.农业气象观测规范(上卷)[M].北京:气象出版社,1993:7-30.
[30]林忠辉,项月琴,莫兴国,等.夏玉米叶面积指数增长模型的研究[J].中国生态农业学报,2003,11(4):69-72.
[31]王信理.在作物干物质积累的动态模拟中如何合理运用Logistic方程[J].中国农业气象,1986,7(1):14-19.
[32]刘铁梅,曹卫星,罗卫红,等.小麦叶面积指数的模拟模型研究[J].麦类作物学报,2001,21(2):38-41.
[33]Shuttleworth W J,Wallace J S.Evaporation from sparse crops-an energy combination theory[J].Quarterly Journal of the Royal Meteorological Society,1985,111(469):839-855.
[34]Jarvis P G.The interpretation of the variations in leaf water potential and stomatal conductance found in canopies in the field[J].Philosophical Transactions of the Royal Society of London.Series B,Biological Sciences,1976,273(927):593-610.
[35]Noilhan J,Planton S.A simple parameterization of land surface processes for meteorological models[J].Monthly Weather Review,1989,117(3):536-549.
[36]李俊,韩凤明,同小娟,等.麦田蒸散模型的改进及其对阻力参数的敏感性分析[J].中国农业气象,2014,35(6):635-643.
[37]John L.Monteith.Principles of Environmental Physics[M].London:Edward Arnold,1973.
[38]Kim J,Verma S B.Modeling canopy stomatal conductance in a temperate grassland ecosystem[J].Agricultural and forest meteorology,1991,55(1):149-166.
[39]Schulze E D.Relationships among maximum stomatal conductance,ecosystem surface conductance,carbon assimilation rate,and plant nitrogen nutrition:a global ecology scaling exercise[J].Annual Review of Ecology and Systematics,1994,25(1):629-660.
[40]李放,沈彦俊.地表遥感蒸散发模型研究进展[J].资源科学,2014,36(7):1478-1488.
[41]Sun S F.Moisture and Heat Transport in a Soil Layer Forced by Atmospheric Conditions[D].M.S.Thesis,Dept.of Civil Engineering,USA:University of Connecticut,1982.
[42]Camillo P J,Gurney R J,Camillo P J.A resistance parameter for bare-soil evaporation models[J].Soil Science,1986,141(2):95-105.
[43]Anadranistakis M,Liakatas A,Kerkides P,et al.Crop water requirement model tested for crops grown in Greece[J].Agricultural Water Management,2000,45(3):297-316.
[44]cs F.A comparative analysis of transpiration and bare soil evaporation[J].Boundary-Layer Meteorology,2003,109(2):139-162.
[45]杨邦杰,Blackwell,Nicholson DF.土壤表面蒸发阻力模型与田间测定方法[J].地理学报,1997,(2):177-183.
[46]林家鼎,孙菽芬.土壤内水分流动、温度分布及其表面蒸发效应的研究——土壤表面蒸发阻抗的探讨[J].水利学报,1983,(7):1-7.
[47]Sun Shufen.Moisture and heat transport in a soil layer forced by atmospheric conditions[D]:USA:University of Connecticut,1982.
[48]Sellers P J,Heiser M D,HALL F G.Relationship between surface conductance and spectral vegetation indices at intermediate(100 m2~15 m2)length scales[J].J.Geophys.Res.FIFE special issue,1992,(97):19033-19060.
[49]Shuttleworth W J,Gurney R J.The theoretical relationship between foliage temperature and canopy resistance in sparse crops[J].Q.J.R.Meteorol.Soc,1990,116(492):498-451.
[50]Zhan X,Kustas W P,Humes K S.An intercomparison study on models of sensible heat flux over partial canopy surfaces with remotely sensed surface temperature[J].Remote Sensing of Environment,1997,58(3):242-256.
[51]Janssen P H M,Heuberger P S C.Calibration of process-oriented models[J].Ecological Modelling,1995,83(1):55-66.
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