基于能量平衡算法的精河流域绿洲蒸散发时空变化模拟
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摘要
基于1998、2007年和2011年三期遥感影像数据,利用SEBAL模型对研究区蒸散发进行了估算,并采用morlet小波分析和M-K突变检验,对实际蒸散量时空格局、变化特征及周期性进行了研究。结果表明:1998—2011年,研究区实际日蒸散发从4.90 mm下降到4.46 mm,总体呈下降趋势;研究区中部艾比湖湖面为极高值,其范围为7.3~9.32 mm,西北部、北部和东部为蒸散量低值区,其范围为0.53~1.27 mm;研究区不同土地类型的日蒸散量中未利用地最小,其次是建设用地,除水体外林地和耕地最高;研究区蒸散量存在26~30 a的周期变化规律,预测2022年将再次转入下降,而2030年蒸散量则将再次进入上升周期。
This work estimates the evapotzation of Jinghe watershed basin by using the SEBAL model with the remote sensing image data from 1998,2007 and 2011. Morlet wavelet analysis and M-K mutation test were used to study the temporal spatial pattern,variation characteristics and periodicity of actual evapotranspiration rate. Results showed:(1)From 1998 to 2011,actual daily evapotranspiration in the study area dropped from 4. 90 mm to 4. 46 mm,showing a general downward trend;(2)Actual daily evapotranspiration in the central part of the study area Ai Bi Lake was extremely high,which ranged from 7.3 to 9.32 mm. Actuall daily evapotranspiration rate in Northwest,North and East were low,which ranged from 0.53 to 1.27 mm;(3)Among different land types in the study area,unused land had the lowest daily evapotranspiration rate,followed by residential land. Woodland and cultivated land had the highest daily evapotranspiration rate except water;(4)Daily evapotranspiration rate had a 26 ~ 30 a cyclic variation law,with the prediction that the evapotranspiration would decline again from 2022 and would enter into the rising cycle in 2030 once again.
This work estimates the evapotzation of Jinghe watershed basin by using the SEBAL model with the remote sensing image data from 1998,2007 and 2011. Morlet wavelet analysis and M-K mutation test were used to study the temporal spatial pattern,variation characteristics and periodicity of actual evapotranspiration rate. Results showed:(1)From 1998 to 2011,actual daily evapotranspiration in the study area dropped from 4. 90 mm to 4. 46 mm,showing a general downward trend;(2)Actual daily evapotranspiration in the central part of the study area Ai Bi Lake was extremely high,which ranged from 7.3 to 9.32 mm. Actuall daily evapotranspiration rate in Northwest,North and East were low,which ranged from 0.53 to 1.27 mm;(3)Among different land types in the study area,unused land had the lowest daily evapotranspiration rate,followed by residential land. Woodland and cultivated land had the highest daily evapotranspiration rate except water;(4)Daily evapotranspiration rate had a 26 ~ 30 a cyclic variation law,with the prediction that the evapotranspiration would decline again from 2022 and would enter into the rising cycle in 2030 once again.
引文
[1]李贺,王红,孔岩,等.基于TSEB模型的黄河三角洲蒸散量估算[J].遥感技术与应用,2012,27(01):58-67.
[2]喻元,白建军,王建博,等.基于MOD16的关中地区实际蒸散发时空特征分析[J].干旱地区农业研究,2015,33(03):245-253.
[3]施云霞.基于SEBAL模型的新疆精河绿洲蒸散发研究[D].乌鲁木齐:新疆师范大学,2016.
[4]Bastiaanssen W G M,Menenti M,Feddes R A,et al.A remote sensing surface energy balance algorithm for land(SEBAL).1.Formulation[J].Journal of Hydrology,1998,212(1/2/3/4):198-212.
[5]Menenti M,Choudhury B J.Parameterization of land surface e-vaporation by means of location dependent potential evaporationand surface temperature range[C]∥Exchange Processes at the Land Surface for a Range of Space and Time Scales.Walling-ford,Eng.:IAHS Press,1993:561-568.
[6]Roerink G J,Su Z,Menenti M.S-SEBI:A simple remote sens-ing algorithmto estimate the surface energy balance[J].Physicsand Chemistry of the Earth,Part B:Hydrology,Oceans and At-mosphere,2000,25(2):147-157.
[7]Su Z.The Surface Energy Balance System(SEBS)for estima-tion of turbulent heat fluxes[J].Hydrology and Earth System Sciences,2002,6(1):85-99.
[8]Mu Q,Zhao M,Running S W.Improvements to a MODIS global terrestrial evapotranspiration algorithm[J].Remote Sens-ing of Environment,2011,115(8):1781-1800.
[9]Long D,Singh V P.A Two-source Trapezoid Model for Evapo-transpiration(TTME)from satellite imagery[J].Remote Sens-ing of Environment,2012,121:370-388.
[10]中华人民共和国国务院.全国主体功能区规划的通知[EB/OL].[2010-12-21].https:∥wenku.baidu.com/view/55b80c.33b84ae45c.3a358co9.html
[11]刘纪远.国家资源环境遥感宏观调查与动态监测研究[J].遥感学报,1997,(03):225-230.
[12]Paulson C A.The Mathematical Representation of Wind Speedand Temperature Profile in the Unstable Atmospheric Surface Layer[J].Appl.Meteorol,1970,9:857-861.
[13]陈玲.基于改进的SEBAL模型估算区域蒸散发[D].兰州:兰州大学,2007.
[14]程正兴,杨守志,冯晓霞,等.小波分析的理论、算法、进展和应用[M].北京:国防工业出版社,2007.
[15]代鹏超,牛苏娟,毋兆鹏,等.新疆精河流域实际蒸散发时空变化特征[J].生态与农村环境学报,2017,33(07):600-606.
[16]朱明承,占车生,王会肖,等.基于遥感双层模型的宝鸡峡灌区日蒸散发估算[J].北京师范大学学报(自然科学版),2017,53(02):194-200.
[17]刘文娟.应用遥感方法估算区域实际蒸散量的时空变异性[D].杨凌:西北农林科技大学,2011.
[18]姜红.基于MODIS影像的新疆奇台县区域蒸散发量的研究[D].乌鲁木齐:新疆大学,2007.
[2]喻元,白建军,王建博,等.基于MOD16的关中地区实际蒸散发时空特征分析[J].干旱地区农业研究,2015,33(03):245-253.
[3]施云霞.基于SEBAL模型的新疆精河绿洲蒸散发研究[D].乌鲁木齐:新疆师范大学,2016.
[4]Bastiaanssen W G M,Menenti M,Feddes R A,et al.A remote sensing surface energy balance algorithm for land(SEBAL).1.Formulation[J].Journal of Hydrology,1998,212(1/2/3/4):198-212.
[5]Menenti M,Choudhury B J.Parameterization of land surface e-vaporation by means of location dependent potential evaporationand surface temperature range[C]∥Exchange Processes at the Land Surface for a Range of Space and Time Scales.Walling-ford,Eng.:IAHS Press,1993:561-568.
[6]Roerink G J,Su Z,Menenti M.S-SEBI:A simple remote sens-ing algorithmto estimate the surface energy balance[J].Physicsand Chemistry of the Earth,Part B:Hydrology,Oceans and At-mosphere,2000,25(2):147-157.
[7]Su Z.The Surface Energy Balance System(SEBS)for estima-tion of turbulent heat fluxes[J].Hydrology and Earth System Sciences,2002,6(1):85-99.
[8]Mu Q,Zhao M,Running S W.Improvements to a MODIS global terrestrial evapotranspiration algorithm[J].Remote Sens-ing of Environment,2011,115(8):1781-1800.
[9]Long D,Singh V P.A Two-source Trapezoid Model for Evapo-transpiration(TTME)from satellite imagery[J].Remote Sens-ing of Environment,2012,121:370-388.
[10]中华人民共和国国务院.全国主体功能区规划的通知[EB/OL].[2010-12-21].https:∥wenku.baidu.com/view/55b80c.33b84ae45c.3a358co9.html
[11]刘纪远.国家资源环境遥感宏观调查与动态监测研究[J].遥感学报,1997,(03):225-230.
[12]Paulson C A.The Mathematical Representation of Wind Speedand Temperature Profile in the Unstable Atmospheric Surface Layer[J].Appl.Meteorol,1970,9:857-861.
[13]陈玲.基于改进的SEBAL模型估算区域蒸散发[D].兰州:兰州大学,2007.
[14]程正兴,杨守志,冯晓霞,等.小波分析的理论、算法、进展和应用[M].北京:国防工业出版社,2007.
[15]代鹏超,牛苏娟,毋兆鹏,等.新疆精河流域实际蒸散发时空变化特征[J].生态与农村环境学报,2017,33(07):600-606.
[16]朱明承,占车生,王会肖,等.基于遥感双层模型的宝鸡峡灌区日蒸散发估算[J].北京师范大学学报(自然科学版),2017,53(02):194-200.
[17]刘文娟.应用遥感方法估算区域实际蒸散量的时空变异性[D].杨凌:西北农林科技大学,2011.
[18]姜红.基于MODIS影像的新疆奇台县区域蒸散发量的研究[D].乌鲁木齐:新疆大学,2007.