| 基于SEBAL模型的盘锦湿地日蒸散估算及其分布特征 |
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| 引用本文： | 于文颖,纪瑞鹏,徐德增,贾庆宇,冯锐,孙龙彧,武晋雯,张玉书.基于SEBAL模型的盘锦湿地日蒸散估算及其分布特征[J].中国水土保持科学,2017(5):8-15. |
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| 作者姓名： | 于文颖 纪瑞鹏 徐德增 贾庆宇 冯锐 孙龙彧 武晋雯 张玉书 |
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| 作者单位： | 1. 中国气象局沈阳大气环境研究所,110166,沈阳;2. 辽宁省水利水电勘测设计研究院,110006,沈阳;3. 沈阳市气象局,110168,沈阳 |
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| 基金项目： | 国家自然科学基金“辽河三角洲芦苇湿地冠层尺度蒸腾与蒸发过程模拟研究”(41405109)，中国气象局项目“FY-3湿地遥感监测评价应用示范”(FY-3(02)-UDS-1.7.1)，2017年度中国气象局沈阳大气环境研究所面上项目“辽河三角洲芦苇群落光合参数垂直分布特征及其参数模拟”(2017SYIAEMS4) |
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| 摘 要： | 为了验证SEBAL模型对湿地蒸散量估算的准确性,本研究基于Landsat 8卫星数据和SEBAL模型,以盘锦湿地生态系统野外观测站的涡动相关实测数据为检验,估算盘锦湿地2013-2015年典型晴天卫星过境时刻的瞬时蒸散量,并利用正弦函数法将遥感反演订正后的蒸散瞬时值转换为日尺度的蒸散值,分析芦苇和稻田湿地的日蒸散量分布特征.结果表明:SEBAL模型反演的盘锦湿地瞬时蒸散量比实测值偏高,平均相对误差为31.6％,但相关系数达0.79,为了提高反演精度,利用线性方程进行订正,订正后的遥感估算值与实测值平均相对误差为6.4％,提高了25.2％;芦苇湿地日蒸散量集中在3.4～4.0 mm/d之间,占总面积的64.7％～82.4％;稻田湿地日蒸散量集中在3.6～4.1mm/d之间,占总面积的67.4％ ～86.6％;稻田湿地日蒸散量普遍比芦苇湿地高0.1 ～0.2mm/d.应用订正后的SEBAL模型反演湿地蒸散量,可为湿地区域蒸散估算及湿地水资源管理提供依据.
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| 关 键 词： | 湿地 遥感 蒸散 SEBAL模型 |
Daily evapotranspiration estimation of Panjin wetland based on SEBAL model and its distribution characteristics |
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| YU Wenying,JI Ruipeng,XU Dezeng,JIA Qingyu,FENG Rui,SUN Longyu,WU Jinwen,ZHANG Yushu.Daily evapotranspiration estimation of Panjin wetland based on SEBAL model and its distribution characteristics[J].Science of Soil and Water Conservation,2017(5):8-15. |
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| Authors: | YU Wenying JI Ruipeng XU Dezeng JIA Qingyu FENG Rui SUN Longyu WU Jinwen ZHANG Yushu |
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| Abstract: | Background] The Liaohe Delta wetland is rich in water resources,but in recent decades,“warm dry” trend is obvious in wetland due to the climate change and human activities.Wetland evapotranspiration is the main way of water loss in wetland ecosystem,and the study of wetland evapotranspiration may enhance the understanding of wetland water balance,and provide a basis for the protection of wetland ecological function and water resources management.Methods] In order to test the accuracy of SEBAL model for simulating the wetland evapotranspiration,the instantaneous evapotranspiration of Panjin wetland at satellite transit time in typical sunny day from 2013 to 2015 was estimated using Landsat 8 data and SEBAL model,and was corrected by the observed data of eddy covariance system.By using the sine function method,the corrected instantaneous evapotranspiration was converted to daily evapotranspiration,and then the distribution characteristic of daily evapotranspiration for reed and rice wetland was analyzed.Results] The result showed that the instantaneous evapotranspiration of Panjin wetland estimated by SEBAL model was higher than the measured value of eddy covariance system,and the average relative error was 31.6％.However,the correlation between the estimated value and the measured value was significant,with a correlation coefficient 0.79,thus it was feasible to estimate the wetland evapotranspiration by using SEBAL model.In order to improve the precision,the linear equation was established and the estimated values were corrected;the relative error was 6.4％ between the corrected value and measured value,and the precision increased by 25.2％.Daily evapotranspiration of reed and rice wetland were in the range of 2.5-5.0 mm/d,with the average daily evapotranspiration of reed wetland and rice wetland were 3.55-3.83 mm/d and 3.66-4.01 mm/d,respectively.In spatial distribution,there was no significant difference in the terrain,and the daily evapotranspiration was uniform;the daily evapotranspiration of reed wetland was concentrated in 3.4-4.0 mm/d which accounted for 64.7％-82.4％ of total area;the daily evapotranspiration of rice wetland was concentrated in 3.6-4.1 mm/d which accounted for 67.4％-86.6％ of total area;the daily evapotranspiration of rice wetland was 0.1-0.2 mm/d higher than that of reed wetland in most area of Panjin wetland.The spatial distribution of evapotranspiration is mainly affected by the underlying surface,the terrain is flat in Panjin,and the distribution of wetland vegetation is uniform.Conclusions] The application of SEBAL model for wetland evapotranspiration provided an accurate assessment method of regional evapotranspiration in wetland,but due to the large number of parameters in the SEBAL model,the error increased,thus the parameters in SEBAL model needed to be improved.In addition,the remote sensing data may only be applied in the sunny day,and it was difficult to determine the evapotranspiration in cloudy day,which needs a further research. |
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| Keywords: | wetland remote sensing evapotranspiration SEBAL model |
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