基于WOFOST-SHAW耦合模型的冬小麦冠层气温模拟
|
摘要
以河南省商丘地区为研究区域,在田间实验的基础上,对WOFOST模型和SHAW模型进行本地化标定,利用WOFOST-SHAW模型模拟2016年冬小麦拔节期-成熟期冠层0~80 cm高度每小时气温的变化特征,并将其模拟结果与实测数据进行对比。结果表明,利用WOFOST-SHAW模型模拟的冬小麦冠层,除了80 cm高度,气温的模型效率均大于0.90,超过75%的模拟气温的绝对误差在-1.5~2.5℃之间,说明冠层气温的整体模拟精度较高。WOFOST-SHAW模型对冬小麦冠层各高度的日最低气温的模型效率平均值为0.86,日最低气温模拟值偏高0.53℃,说明冠层日最低气温的模拟值与实测值吻合度较高。同时冬小麦易受冻高度层模拟气温能准确地反映0℃以下的冠层日最低气温,因此,WOFOST-SHAW模型可以很好地模拟冠层气温,提升SHAW模型的适用性,可为冬小麦晚霜冻害的监测提供参考依据。
Air temperature within canopy reflects the growing condition of plants objectively. Simulation of air temperature within canopy can assist in better understanding of microclimate dynamic change characteristics,and can also provide a scientific basis for monitoring late frost injury of winter wheat. A field experiment was conducted in Shangqiu City,Henan Province to observe the winter wheat growth and ambient environmental factors. Based on the localization,coupled WOFOST and SHAW models were applied to simulate dynamic characteristics of air temperature hourly within winter wheat canopy from0 cm to 80 cm at after-jointing stage in 2016,and the simulation results were compared with measured data. The results suggested that for coupled WOFOST and SHAW models,model efficiency of the simulated and measured values at different heights within winter wheat canopy was greater than 0. 90,and over 75% of absolute errors of simulated values were in the range of-1. 5 ~ 2. 5℃,showing a high accuracy in simulating air temperature within winter wheat canopy as a whole. For daily lowest values of air temperature within winter wheat canopy,model efficiency of coupled WOFOST and SHAW models was about 0. 86,and the simulation values of daily lowest values of air temperature within winter wheat canopy were 0. 53℃ greater than measured values,showing an excellent conformity between simulated and measured values. And the simulation values could precisely reflect daily lowest values of air temperature below 0℃ within winter wheat canopy where the late frost injury occurred easily. Therefore,coupled WOFOST and SHAW models can simulate air temperature within winter wheat canopy well,increase applicability of SHAW model,and provide a reference for monitoring late frost injury.
Air temperature within canopy reflects the growing condition of plants objectively. Simulation of air temperature within canopy can assist in better understanding of microclimate dynamic change characteristics,and can also provide a scientific basis for monitoring late frost injury of winter wheat. A field experiment was conducted in Shangqiu City,Henan Province to observe the winter wheat growth and ambient environmental factors. Based on the localization,coupled WOFOST and SHAW models were applied to simulate dynamic characteristics of air temperature hourly within winter wheat canopy from0 cm to 80 cm at after-jointing stage in 2016,and the simulation results were compared with measured data. The results suggested that for coupled WOFOST and SHAW models,model efficiency of the simulated and measured values at different heights within winter wheat canopy was greater than 0. 90,and over 75% of absolute errors of simulated values were in the range of-1. 5 ~ 2. 5℃,showing a high accuracy in simulating air temperature within winter wheat canopy as a whole. For daily lowest values of air temperature within winter wheat canopy,model efficiency of coupled WOFOST and SHAW models was about 0. 86,and the simulation values of daily lowest values of air temperature within winter wheat canopy were 0. 53℃ greater than measured values,showing an excellent conformity between simulated and measured values. And the simulation values could precisely reflect daily lowest values of air temperature below 0℃ within winter wheat canopy where the late frost injury occurred easily. Therefore,coupled WOFOST and SHAW models can simulate air temperature within winter wheat canopy well,increase applicability of SHAW model,and provide a reference for monitoring late frost injury.
引文
1刘云,宇振荣,孙丹峰.冬小麦冠气温差及其相关影响因素关系研究[J].灌溉排水学报,2004,23(1):30-35.LIU Yun,YU Zhenrong,SUN Danfeng.Difference of canopy-air temperature and its affecting factors[J].Journal of Irrigation and Drainage,2004,23(1):30-35.(in Chinese)
2杨邦杰,王茂新,裴志远.冬小麦冻害遥感监测[J].农业工程学报,2002,18(2):136-140.YANG Bangjie,WANG Maoxin,PEI Zhiyuan.Monitoring freeze injury to winter wheat using remote sensing[J].Transactions of the CSAE,2002,18(2):136-140.(in Chinese)
3王慧芳,王纪华,董莹莹,等.冬小麦冻害胁迫高光谱分析与冻害严重度反演[J].光谱学与光谱分析,2014,34(5):1357-1361.WANG Huifang,WANG Jihua,DONG Yingying,et al.Monitoring freeze stress levels on winter wheat from hyperspectral reflectance data using principal component analysis[J].Spectroscopy and Spectral Analysis,2014,34(5):1357-1361.(in Chinese)
4 FLERCHINGER G N,PIERSON F B.Modelling plant canopy effects on variability of soil temperature and water:model calibration and validation[J].Journal of Arid Environments,1997,35(4):641-653.
5 LI R,SHI H,FLERCHINGER G N,et al.Modeling the effect of antecedent soil water storage on water and heat status in seasonally freezing and thawing agricultural soils[J].Geoderma,2013,206(9):70-74.
6 ZHANG Y,CHENG G,XIN L,et al.Coupling of a simultaneous heat and water model with a distributed hydrological model and evaluation of the combined model in a cold region watershed[J].Hydrological Processes,2013,27(25):3762-3776.
7肖薇,郑有飞,于强.基于SHAW模型对农田小气候要素的模拟[J].生态学报,2005,25(7):1626-1634.XIAO Wei,ZHENG Youfei,YU Qiang.Evaluation of SHAW model in simulating energy balance,leaf temperature and micrometeorological variables within a maize canopy[J].Acta Ecologica Sinica,2005,25(7):1626-1634.(in Chinese)
8刘峻明,汪念,王鹏新,等.基于SHAW模型的冬小麦近地面层气温模拟[J/OL].农业机械学报,2015,46(增刊):274-282.http:∥www.j-csam.org/jcsam/ch/reader/view_abstract.aspx?file_no=2015s044&flag=1.DOI:10.6041/j.issn.1000-1298.2015.S0.044.LIU Junming,WANG Nian,WANG Pengxin,et al.Simulation of air temperature within winter wheat near-ground layer based on SHAW model[J/OL].Transactions of the Chinese Society for Agricultural Machinery,2015,46(Supp.):274-282.(in Chinese)
9刘峻明,汪念,王鹏新,等.SHAW模型在冬小麦晚霜冻害监测中的适用性研究[J/OL].农业机械学报,2016,47(6):265-274.http:∥www.j-csam.org/jcsam/ch/reader/view_abstract.aspx?file_no=20160635&flag=1.DOI:10.6041/j.issn.1000-1298.2016.06.035.LIU Junming,WANG Nian,WANG Pengxin,et al.Applicability of simultaneous heat and water model for monitoring late frost injury of winter wheat[J/OL].Transactions of the Chinese Society for Agricultural Machinery,2016,47(6):265-274.(in Chinese)
10何亮,侯英雨,赵刚,等.基于全局敏感性分析和贝叶斯方法的WOFOST作物模型参数优化[J].农业工程学报,2016,32(2):169-179.HE Liang,HOU Yingyu,ZHAO Gang,et al.Parameters optimization of WOFOST model by integration of global sensitivity analysis and Bayesian calibration method[J].Transactions of the CSAE,2016,32(2):169-179.(in Chinese)
11刘峻明,李曼曼,王鹏新,等.基于LAI时间序列重构数据的冬小麦物候监测[J].农业工程学报,2013,29(19):120-129.LIU Junming,LI Manman,WANG Pengxin,et al.Monitoring of phenology by reconstructing LAI time series data for winter wheat[J].Transactions of the CSAE,2013,29(19):120-129.(in Chinese)
12黄健熙,李昕璐,刘帝佑,等.顺序同化不同时空分辨率LAI的冬小麦估产对比研究[J/OL].农业机械学报,2015,46(1):240-248.http:∥www.j-csam.org/jcsam/ch/reader/view_abstract.aspx?file_no=20150134&flag=1.DOI:10.6041/j.issn.1000-1298.2015.01.034.HUANG Jianxi,LI Xinlu,LIU Diyou,et al.Comparison of winter wheat yield estimation by sequential assimilation of different spatio-temporal resolution remotely sensed LAI datasets[J/OL].Transactions of the Chinese Society for Agricultural Machinery,2015,46(1):240-248.(in Chinese)
13 CHENG Z,MENG J,WANG Y.Improving spring maize yield estimation at field scale by assimilating time-series HJ-1 CCD data into the WOFOST model using a new method with fast algorithms[J].Remote Sensing,2016,8(4):303.
14张建平,赵艳霞,王春乙,等.基于WOFOST作物生长模型的冬小麦干旱影响评估技术[J].生态学报,2013,33(6):1762-1769.ZHANG Jianping,ZHAO Yanxia,WANG Chunyi,et al.Evaluation technology on drought disaster to yields of winter wheat based on WOFOST crop growth model[J].Acta Ecologica Sinica,2013,33(6):1762-1769.(in Chinese)
15邬定荣,欧阳竹,赵小敏,等.作物生长模型WOFOST在华北平原的适用性研究[J].植物生态学报,2003,27(5):594-602.WU Dingrong,OUYANG Zhu,ZHAO Xiaomin,et al.The applicability research of WOFOST model in North China Plain[J].Chinese Journal of Plant Ecology,2003,27(5):594-602.(in Chinese)
16张雪芬,余卫东,王春乙.基于作物模型灾损识别的黄淮区域冬小麦晚霜冻风险评估[J].高原气象,2012,31(1):277-284.ZHANG Xuefen,YU Weidong,WANG Chunyi.Risk evaluation for spring frost disaster of winter wheat in Yellow River-Huai River regions based on crop model[J].Plateau Meteorology,2012,31(1):277-284.(in Chinese)
17 FLERCHINGER G N,HANSO C L,WIGHT J R.Modeling evapotranspiration and surface energy budgets across a watershed[J].Water Resources Research,1996,32(8):2539-2548.
18 FANG Q X,MA L,FLERCHINGER G N,et al.Modeling evapotranspiration and energy balance in a wheat-maize cropping system using the revised RZ-SHAW model[J].Agricultural and Forest Meteorology,2014,194(3):218-229.
19 YU Q,FLERCHINGER G N,XU S,et al.Energy balance simulation of a wheat canopy using the RZ-SHAW(RZWQM-SHAW)model[J].Transactions of the ASABE,2007,50(5):1507-1516.
20 FLERCHINGER G N,REBA M L,LINK T E,et al.Modeling temperature and humidity profiles within forest canopies[J].Agricultural and Forest Meteorology,2015,213:251-262.
21 QI Z,MA L,BAUSCH W C,et al.Simulating maize production,water and surface energy balance,canopy temperature,and water stress under full and deficit irrigation[J].Transactions of the ASABE,2016,59(2):623-633.
22钟秀丽,王道龙,赵鹏,等.黄淮麦区冬小麦拔节后霜冻温度出现规律研究[J].中国生态农业学报,2007,15(5):17-20.ZHONG Xiuli,WANG Daolong,ZHAO Peng,et al.Occurrence of frost temperature in Huanghuai wheat production zone after winter wheat elongation[J].Chinese Journal of Eco-Agriculture,2007,15(5):17-20.(in Chinese)
2杨邦杰,王茂新,裴志远.冬小麦冻害遥感监测[J].农业工程学报,2002,18(2):136-140.YANG Bangjie,WANG Maoxin,PEI Zhiyuan.Monitoring freeze injury to winter wheat using remote sensing[J].Transactions of the CSAE,2002,18(2):136-140.(in Chinese)
3王慧芳,王纪华,董莹莹,等.冬小麦冻害胁迫高光谱分析与冻害严重度反演[J].光谱学与光谱分析,2014,34(5):1357-1361.WANG Huifang,WANG Jihua,DONG Yingying,et al.Monitoring freeze stress levels on winter wheat from hyperspectral reflectance data using principal component analysis[J].Spectroscopy and Spectral Analysis,2014,34(5):1357-1361.(in Chinese)
4 FLERCHINGER G N,PIERSON F B.Modelling plant canopy effects on variability of soil temperature and water:model calibration and validation[J].Journal of Arid Environments,1997,35(4):641-653.
5 LI R,SHI H,FLERCHINGER G N,et al.Modeling the effect of antecedent soil water storage on water and heat status in seasonally freezing and thawing agricultural soils[J].Geoderma,2013,206(9):70-74.
6 ZHANG Y,CHENG G,XIN L,et al.Coupling of a simultaneous heat and water model with a distributed hydrological model and evaluation of the combined model in a cold region watershed[J].Hydrological Processes,2013,27(25):3762-3776.
7肖薇,郑有飞,于强.基于SHAW模型对农田小气候要素的模拟[J].生态学报,2005,25(7):1626-1634.XIAO Wei,ZHENG Youfei,YU Qiang.Evaluation of SHAW model in simulating energy balance,leaf temperature and micrometeorological variables within a maize canopy[J].Acta Ecologica Sinica,2005,25(7):1626-1634.(in Chinese)
8刘峻明,汪念,王鹏新,等.基于SHAW模型的冬小麦近地面层气温模拟[J/OL].农业机械学报,2015,46(增刊):274-282.http:∥www.j-csam.org/jcsam/ch/reader/view_abstract.aspx?file_no=2015s044&flag=1.DOI:10.6041/j.issn.1000-1298.2015.S0.044.LIU Junming,WANG Nian,WANG Pengxin,et al.Simulation of air temperature within winter wheat near-ground layer based on SHAW model[J/OL].Transactions of the Chinese Society for Agricultural Machinery,2015,46(Supp.):274-282.(in Chinese)
9刘峻明,汪念,王鹏新,等.SHAW模型在冬小麦晚霜冻害监测中的适用性研究[J/OL].农业机械学报,2016,47(6):265-274.http:∥www.j-csam.org/jcsam/ch/reader/view_abstract.aspx?file_no=20160635&flag=1.DOI:10.6041/j.issn.1000-1298.2016.06.035.LIU Junming,WANG Nian,WANG Pengxin,et al.Applicability of simultaneous heat and water model for monitoring late frost injury of winter wheat[J/OL].Transactions of the Chinese Society for Agricultural Machinery,2016,47(6):265-274.(in Chinese)
10何亮,侯英雨,赵刚,等.基于全局敏感性分析和贝叶斯方法的WOFOST作物模型参数优化[J].农业工程学报,2016,32(2):169-179.HE Liang,HOU Yingyu,ZHAO Gang,et al.Parameters optimization of WOFOST model by integration of global sensitivity analysis and Bayesian calibration method[J].Transactions of the CSAE,2016,32(2):169-179.(in Chinese)
11刘峻明,李曼曼,王鹏新,等.基于LAI时间序列重构数据的冬小麦物候监测[J].农业工程学报,2013,29(19):120-129.LIU Junming,LI Manman,WANG Pengxin,et al.Monitoring of phenology by reconstructing LAI time series data for winter wheat[J].Transactions of the CSAE,2013,29(19):120-129.(in Chinese)
12黄健熙,李昕璐,刘帝佑,等.顺序同化不同时空分辨率LAI的冬小麦估产对比研究[J/OL].农业机械学报,2015,46(1):240-248.http:∥www.j-csam.org/jcsam/ch/reader/view_abstract.aspx?file_no=20150134&flag=1.DOI:10.6041/j.issn.1000-1298.2015.01.034.HUANG Jianxi,LI Xinlu,LIU Diyou,et al.Comparison of winter wheat yield estimation by sequential assimilation of different spatio-temporal resolution remotely sensed LAI datasets[J/OL].Transactions of the Chinese Society for Agricultural Machinery,2015,46(1):240-248.(in Chinese)
13 CHENG Z,MENG J,WANG Y.Improving spring maize yield estimation at field scale by assimilating time-series HJ-1 CCD data into the WOFOST model using a new method with fast algorithms[J].Remote Sensing,2016,8(4):303.
14张建平,赵艳霞,王春乙,等.基于WOFOST作物生长模型的冬小麦干旱影响评估技术[J].生态学报,2013,33(6):1762-1769.ZHANG Jianping,ZHAO Yanxia,WANG Chunyi,et al.Evaluation technology on drought disaster to yields of winter wheat based on WOFOST crop growth model[J].Acta Ecologica Sinica,2013,33(6):1762-1769.(in Chinese)
15邬定荣,欧阳竹,赵小敏,等.作物生长模型WOFOST在华北平原的适用性研究[J].植物生态学报,2003,27(5):594-602.WU Dingrong,OUYANG Zhu,ZHAO Xiaomin,et al.The applicability research of WOFOST model in North China Plain[J].Chinese Journal of Plant Ecology,2003,27(5):594-602.(in Chinese)
16张雪芬,余卫东,王春乙.基于作物模型灾损识别的黄淮区域冬小麦晚霜冻风险评估[J].高原气象,2012,31(1):277-284.ZHANG Xuefen,YU Weidong,WANG Chunyi.Risk evaluation for spring frost disaster of winter wheat in Yellow River-Huai River regions based on crop model[J].Plateau Meteorology,2012,31(1):277-284.(in Chinese)
17 FLERCHINGER G N,HANSO C L,WIGHT J R.Modeling evapotranspiration and surface energy budgets across a watershed[J].Water Resources Research,1996,32(8):2539-2548.
18 FANG Q X,MA L,FLERCHINGER G N,et al.Modeling evapotranspiration and energy balance in a wheat-maize cropping system using the revised RZ-SHAW model[J].Agricultural and Forest Meteorology,2014,194(3):218-229.
19 YU Q,FLERCHINGER G N,XU S,et al.Energy balance simulation of a wheat canopy using the RZ-SHAW(RZWQM-SHAW)model[J].Transactions of the ASABE,2007,50(5):1507-1516.
20 FLERCHINGER G N,REBA M L,LINK T E,et al.Modeling temperature and humidity profiles within forest canopies[J].Agricultural and Forest Meteorology,2015,213:251-262.
21 QI Z,MA L,BAUSCH W C,et al.Simulating maize production,water and surface energy balance,canopy temperature,and water stress under full and deficit irrigation[J].Transactions of the ASABE,2016,59(2):623-633.
22钟秀丽,王道龙,赵鹏,等.黄淮麦区冬小麦拔节后霜冻温度出现规律研究[J].中国生态农业学报,2007,15(5):17-20.ZHONG Xiuli,WANG Daolong,ZHAO Peng,et al.Occurrence of frost temperature in Huanghuai wheat production zone after winter wheat elongation[J].Chinese Journal of Eco-Agriculture,2007,15(5):17-20.(in Chinese)
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |