globalchange  > 气候变化事实与影响
CSCD记录号: CSCD:6114178
论文题名:
基于SEBAL模型的盘锦湿地日蒸散估算及其分布特征
其他题名: Daily evapotranspiration estimation of Panjin wetland based on SEBAL model and its distribution characteristics
作者: 于文颖1; 纪瑞鹏1; 徐德增2; 贾庆宇1; 冯锐1; 孙龙彧3; 武晋雯1; 张玉书1
刊名: 中国水土保持科学
ISSN: 2096-2673
出版年: 2017
卷: 15, 期:5, 页码:482-489
语种: 中文
中文关键词: 湿地 ; 遥感 ; 蒸散 ; SEBAL模型
英文关键词: wetland ; remote sensing ; evapotranspiration ; SEBAL model
WOS学科分类: METEOROLOGY ATMOSPHERIC SCIENCES
WOS研究方向: Meteorology & Atmospheric Sciences
中文摘要: 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20132015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 ~4.1 mm/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 ~0.2 mm/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。
英文摘要: [Background]The Liaohe Delta wetland is rich in water resources,but in recent decades, warm drytrend 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.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/153608
Appears in Collections:气候变化事实与影响

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作者单位: 1.中国气象局沈阳大气环境研究所, 沈阳, 辽宁 110166, 中国
2.辽宁省水利水电勘测设计研究院, 沈阳, 辽宁 110006, 中国
3.沈阳市气象局, 沈阳, 辽宁 110168, 中国

Recommended Citation:
于文颖,纪瑞鹏,徐德增,等. 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,2017-01-01,15(5):482-489
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