Daily evapotranspiration estimation of Panjin wetland based on SEBAL model and its distribution characteristics
YU Wenying, JI Ruipeng, XU Dezeng, JIA Qingyu, FENG Rui, SUN Longyu, WU Jinwen, ZHANG Yushu
1. Institute of Atmospheric Environment, China Meteorological Administration, 110166, Shenyang, China; 2. Liaoning Water Conservancy and Hydropower Survey and Design Research Institute, 110006, Shenyang, China; 3. Meteorological Bureau of Shenyang, 110168, Shenyang, China
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.
邓伟, 胡金明. 湿地水文学研究进展及科学前沿问题[J]. 湿地科学, 2003, 1(1):12. DENG Wei, HU Jinming. Development of wetland hydrology research and key scientific issues[J]. Wetland Science, 2003, 1(1):12.
[2]
于文颖, 纪瑞鹏, 冯锐, 等. 芦苇湿地多时空尺度蒸散模拟研究进展[J]. 生态学杂志, 2014, 33(5):1388. YU Wenying, JI Ruipeng, FENG Rui, et al. Advances in simulation of reed wetland evapotranspiration based on multiple time and space scales[J]. Chinese Journal of Ecology, 2014, 33(5):1388.
[3]
于文颖, 周广胜, 周莉. 盘锦湿地芦苇群落蒸发散模拟研究[J]. 气象与环境学报, 2006, 22(4):47. YU Wenying, ZHOU Guangsheng, ZHOU Li. Simulating evapotranspiration of Phragmites communis in Panjin Wetland[J]. Journal of Meteorology and Environment, 2006, 22(4):47.
[4]
王昊, 许士国. 扎龙湿地芦苇沼泽蒸散耗水预测[J]. 生态学报, 2006, 26(5):1352. WANG Hao, XU Shiguo. The prediction on reed swamp evapotranspiration in Zhalong wetland, China[J]. Acta Ecologica Sinica, 2006, 26(5):1352.
[5]
周广胜, 周莉, 关恩凯, 等. 辽河三角洲湿地与全球变化[J]. 气象与环境学报, 2006, 22(4):7. ZHOU Guangsheng, ZHOU Li, GUAN Enkai, et al. Liaohe delta wetland and global change[J]. Journal of Meteorology and Environment, 2006, 22(4):7.
[6]
曾丽红, 宋开山, 张柏, 等. 基于SEBAL模型的扎龙湿地蒸散量反演[J]. 中国农业气象, 2008, 29(4):420. ZENG Lihong, SONG Kaishan, ZHANG Bai, et al. Retrieval of evapotranspiration in Zhalong wetland based on SEBAL model[J]. Chinese Journal of Agrometeorology, 2008, 29(4):420.
[7]
奚歌, 刘绍民, 贾立. 黄河三角洲湿地蒸散量与典型植被的生态需水量[J]. 生态学报, 2008, 28(11):5356. XI Ge, LIU Shaomin, JIA Li, et al. Estimation of regional evapotranspiration and ecological water requirement of vegetation by remote sensing in the Yellow River Delta wetland[J]. Acta Ecologica Sinica, 2008, 28(11):5356.
[8]
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):1479. LI Fang, SHEN Yanjun. Progress in remote sensing based models for surface heat and water fluxes[J]. Resources Science, 2014, 36(7):1479.
[9]
张宝忠, 许迪, 刘钰, 等. 多尺度蒸散发估测与时空尺度拓展方法研究进展[J]. 农业工程学报, 2015, 31(6):12. ZHANG Baozhong, XU Di, LIU Yu, et al. Review of multi-scale evapotranspiration estimation and spatio-temporal scale expansion[J]. Transactions of the Chinese Society of Agricultural Engineering, 2015, 31(6):12.
[10]
赵丽雯, 吉喜斌. 基于FAO-56双作物系数法估算农田作物蒸腾和土壤蒸发研究:以西北干旱区黑河流域中游绿洲农田为例[J]. 中国农业科学, 2010, 43(19):4016. ZHAO Liwen, JI Xibin. Quantification of transpiration and evaporation over agricultural field using the FAO-56 dual crop coefficient approach:a case study of the maize field in an oasis in the middle stream of the Heihe River basin in Northwest China[J]. Scientia Agricultura Sinica, 2010, 43(19):4016.
[11]
刘振华, 赵英时, 李笑宇, 等. 基于蒸散发模型的定量遥感缺水指数[J]. 农业工程学报, 2012, 28(2):114. LIU Zhenhua, ZHAO Yingshi, LI Xiaoyu, et al. Quantitative remote sensing of water deficit index based on evapotranspiration[J]. Transactions of the Chinese Society of Agricultural Engineering, 2012, 28(2):114.
[12]
白娟, 杨胜天, 董国涛, 等. 基于多源遥感数据的三江平原日蒸散量估算[J]. 水土保持研究, 2013, 20(3):190. BAI Juan, YANG Shengtian, DONG Guotao, et al. Estimation of daily evapotranspiration based on the multi-source remote sensing data in the Sanjiang Plain[J]. Research of Soil and Water Conservation, 2013, 20(3):190.
[13]
赵红, 赵玉金, 李峰, 等. FY-3/VIRR卫星遥感数据反演省级区域蒸散量[J]. 农业工程学报, 2014, 30(13):111. ZHAO Hong, ZHAO Yujin, LI Feng, et al. Modeling evapotranspiration in provincial regions based on FY-3/VIRR remote sensing data[J]. Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(13):111.
[14]
朱明明, 李明杰, 侯西勇. 黄河三角洲日蒸散发遥感估算及其空间格局特征分析[J]. 科技导报, 2012, 30(23):17. ZHU Mingming, LI Mingjie, HOU Xiyong. Daily evapotranspiration estimation by remote sensing method and its spatial pattern analysis on the Yellow River Delta[J]. Science and Technology Review, 2012, 30(23):17.
[15]
刘红玉, 吕宪国, 刘振乾,等. 辽河三角洲湿地资源与区域持续发展[J]. 地理科学, 2000, 20(6):545. LIU Hongyu, LV Xianguo, LIU Zhenqian, et al. Study on wetland resources and regional sustainable development in Liaohe Delta[J]. Scientia Geographica Sinica, 2000, 20(6):545.
[16]
罗先香, 张蕊, 严登华. 辽宁双台子河口湿地生态水文模拟与调控[J]. 地理研究, 2011, 30(6):1089. LUO Xianxiang, ZHANG Rui, YAN Denghua. Eco-hydrological simulation and regulation of Shuangtaizi estuarine wetland[J]. Geographical Research, 2011, 30(6):1089.
[17]
甄晓杰, 周广胜, 贾庆宇, 等. 盘锦芦苇湿地近地面层湍流量参数化方案研究[J]. 气象与环境学报, 2009, 25(5):7. ZHEN Xiaojie, ZHOU Guangsheng, JIA Qingyu, et al. Parameterization scheme of turbulent flux in the atmospheric surface layer in reed wetland of Panjin, Liaoning province[J]. Journal of Meteorology and Environment, 2009, 25(5):7.
[18]
王莉雯, 卫亚星. 盘锦湿地净初级生产力时空分布特征[J]. 生态学报, 2012, 32(19):6006. WANG Liwen, WEI Yaxing. Variation analysis about net primary productivity of the wetland in Panjin region[J]. Acta Ecologica Sinica, 2012, 32(19):6006.
[19]
Zhou Li, Zhou Guangsheng. Measurement and modeling of evapotranspiration over a reed (Phragmites australis) marsh in Northeast China[J]. Journal of Hydrology, 2009, 372:41.
[20]
贾庆宇, 刘晶淼, 梁成华, 等. 辽河三角洲稻区近地层CH4浓度与通量特征[J]. 生态环境学报, 2015, 24(5):804. JIA Qingyu, LIU Jingmiao, LIANG Chenghua,et al. The characteristics of CH4 concentration and flux of the near surface in Liaohe Delta rice region[J]. Ecology and Environmental Sciences, 2015, 24(5):804.
[21]
曾丽红, 宋开山, 张柏, 等. 松嫩平原不同地表覆盖蒸散特征的遥感研究[J]. 农业工程学报, 2010, 26(9):233. ZENG Lihong, SONG Kaishan, ZHANG Bai, et al. Analysis of evapotranspiration characteristics for different land cover types over Songnen Plain based on remote sensing[J]. Transactions of the Chinese Society of Agricultural Engineering, 2010, 26(9):233.
[22]
连晋姣, 黄明斌, 李杏鲜, 等. 夏季黑河中游绿洲样带蒸散量遥感估算[J]. 农业工程学报, 2014, 30(15):122. LIAN Jinjiao, HUANG Mingbin, LI Xingxian, et al. Evapotranspiration estimation for oasis transect in middle reach of Heihe river basin based on remote sensing[J]. Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(15):122.
[23]
李根. 基于SEBAL和SEBS模型的鹰潭小流域蒸散发估算研究[D]. 南京:南京信息工程大学,2014:13. LI Gen. Estimating evapotranspiration in Yingtan agricultural watershed using SEBAL and SEBS model[D]. Nanjing:Nangjing University of Information Science and Technology, 2014:13.
[24]
BASTIAANSSEN W G M, MENENTI M, FEDDES R A, et al. The surface energy balance algorithm for land (SEBAL):Part 1 formulation[J]. Journal of Hydrology, 1998, 212(98):801.
[25]
李红军, 雷玉平, 郑力,等. SEBAL模型及其在区域蒸散研究中的应用[J]. 遥感技术与应用, 2005, 20(3):321. LI Hongjun, LEI Yuping, ZHENG Li, et al. SEBAL model and its application in the study of regional evapotranspiration[J]. Remote Sensing Technology and Application, 2005, 20(3):321.
2017, Vol. 15 
