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基于水文模型的蒸散发数据同化实验研究

DOI: 10.11867/j.issn.1001-8166.2014.09.1075, PP. 1075-1084

Keywords: 蒸散发,遥感反演,水文模型,集合卡尔曼滤波,数据同化

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Abstract:

流域蒸散发定量估算一直是水科学领域的研究前沿,水文模型和遥感反演是当前估算区域蒸散发的常用手段。研究通过数据同化,集成水文模型和遥感模型的优势,耦合遥感蒸散发到水文模型中以实现多源数据下的蒸散发数据同化。选择北京市沙河流域为研究区,分布式时变增益水文模型作为模型算子,基于集合卡尔曼滤波同化算法,利用双层遥感模型模拟的蒸散发同化水文模型,并基于地面通量站观测的日蒸散发进行验证。结果表明,同化结果与观测数据相比平均绝对百分比误差较同化前减少,精度进一步提升,且当遥感观测输入频繁时精度改善明显。研究证明基于水文模型的蒸散发数据同化系统,是一种可实现输出精度更高和时序连续的区域蒸散发的新型模式。该成果将进一步丰富创新蒸散发估算的学科内容,为准确理解区域水循环规律提供科学依据。

References

[1]  Cammalleri C, Agnese C, Ciraolo G, et al. Actual evapotranspiration assessment by means of a coupled energy/hydrologic balance model: Validation over an olive grove by means of scintillometry and measurements of soil water contents[J]. Journal of Hydrology, 2010, 392(1/2): 70-82.
[2]  Liu C, Zhang D, Liu X, et al. Spatial and temporal change in the potential evapotranspiration sensitivity to meteorological factors in China (1960-2007)[J]. Journal of Geographical Sciences, 2012, 22(1): 3-14.
[3]  Cheng Guodong, Zhao Wenzhi. Green water and its research progresses[J]. Advances in Earth Science, 2006, 21(3): 221-227. [程国栋, 赵文智. 绿水及其研究进展[J]. 地球科学进展, 2006, 21(3): 221-227.]
[4]  Zhang Wanchang, Gao Yongnian. Estimation of regional evapotranspiration using two source energy balance model and ETM+ imagery[J]. Scientia Geographica Sinica, 2009, 29(4): 523-528.[张万昌, 高永年. 区域土壤植被系统蒸散发二源遥感估算[J]. 地理科学, 2009, 29(4): 523-528.]
[5]  Zhang Jincun, Rui Xiaofang. Discussion of theory and methods for building a distributed hydrologic model[J]. Advances in Water Science,2007, 18(2): 286-292.[张金存, 芮孝芳. 分布式水文模型构建理论与方法述评[J]. 水科学进展, 2007, 18(2): 286-292.]
[6]  Song X, Zhan C, Kong F, et al. Advances in the study of uncertainty quantification of large-scale hydrological modeling system[J]. Acta Geographica Sinica, 2011, 21(5): 801-819.
[7]  Liang Shunlin, Li Xin, Xie Xianhong. Land Surface Observation, Modeling and Data Assimilation [M]. Beijing: Higher Education Press, 2013. [梁顺林,李新,谢先红. 陆面观测、模拟和数据同化[M]. 北京: 高等教育出版社,2013.]
[8]  Zhang Ronghua, Du Junping, Sun Rui. Review of estimation and validation of regional evapotranspiration based on remote sensing [J]. Advances in Earth Science, 2012, 27(12): 1 295-1 307.[张荣华, 杜君平, 孙睿. 区域蒸散发遥感估算方法及验证综述 [J]. 地球科学进展, 2012, 27(12): 1 295-1 307.]
[9]  Chen H, Yang D, Hong Y, et al. Hydrological data assimilation with the Ensemble Square-Root-Filter: Use of streamflow observations to update model states for real-time flash flood forecasting [J]. Advances in Water Resources, 2013, 59: 209-220.
[10]  Gong Peng. Some essential questions in remote sensing science and technology[J]. Journal of Remote Sensing, 2009, 13(1): 13-23. [宫鹏. 遥感科学与技术中的一些前沿问题 [J]. 遥感学报, 2009, 13(1): 13-23.]
[11]  Xie X, Zhang D. Data assimilation for distributed hydrological catchment modeling via ensemble Kalman filter[J]. Advances in Water Resources, 2010, 33(6): 678-690.
[12]  Li Xin, Huang Chunlin, Che Tao, et al. Advance and prospect of land surface data assimilation research in China[J]. Progress in National Science, 2007, 17(2): 163-173.[李新, 黄春林, 车涛, 等. 中国陆面数据同化系统研究的进展与前瞻 [J]. 自然科学进展, 2007, 17(2): 163-173.]
[13]  Xiong Chunhui, Zhang Lifeng, Guan Jiping, et al. Development and application of ensemble-variational data assimilation methods [J]. Advances in Earth Science, 2013, 28(6): 648-656.[熊春晖, 张立凤, 关吉平, 等. 集合—变分数据同化方法的发展与应用 [J]. 地球科学进展, 2013, 28(6): 648-656.]
[14]  Wang Wen, Kou Xiaohua. Methods for hydrological data assimilation and advances of assimilating remotely sensed data into rainfall-runoff models[J]. Journal of Hohai University (Natural Sciences), 2009, 37(5): 556-562.[王文, 寇小华. 水文数据同化方法及遥感数据在水文数据同化中的应用进展 [J]. 河海大学学报:自然科学版, 2009, 37(5): 556-562.]
[15]  Wang D, Cai X. Optimal estimation of irrigation schedule-an example of quantifying human interferences to hydrologic processes[J]. Advances in Water Resourses, 2007, 30(8): 1 844-1 857.
[16]  Moradkhami M. Review: Hydrologic remote sensing and land surface data assimilation[J]. Sensors, 2008, 8(5): 2 986-3 004.
[17]  Schuurmans M, Troch A, Veldhuizen A, et al. Assimilation of remotely sensed latent heat flux in a distributed hydrological model[J]. Advances in Water Resources, 2003, 26(2): 151-159.
[18]  Pan M, Wood E, Wójcik R, et al. Estimation of regional terrestrial water cycle using multi-sensor remote sensing observations and data assimilation[J]. Remote Sensing of Environment, 2008, 112(4): 1 282-1 294.
[19]  Qin C, Jia Y, Su Z, et al. Integrating remote sensing information into a distributed hydrological model for improving water budget predictions in large-scale basins through data assimilation[J]. Sensors, 2008, 8(7): 4 441-4 465.
[20]  Pipunic C, Walker P, Western A. Assimilation of remotely sensed data for improved latent and sensible heat flux prediction: A comparative synthetic study[J]. Remote Sensing of Environment, 2008, 112(4): 1 295-1 305.
[21]  Xia J, Wang G, Tan G, et al. Development of distributed time-variant gain model for nonlinear hydrological systems[J]. Science in China (Series D), 2005, 48(6): 713-723.
[22]  Yin Jian,Wang Huixiao,Zhan Chesheng,et al. Land surface heat in the Shahe River Basin derived from emote sensing data[J]. Journal of Beijing Normal University(Natural Science), 2012, 48(5): 566-571.[尹剑,王会肖,占车生,等.沙河流域地表通量的定量遥感估算 [J].北京师范大学学报:自然科学版, 2012, 48(5): 566-571.]
[23]  Zhang R, Tian J, Su H, et al. Two improvements of an operation al two-layer model for terrestrial surface heat flux retrieval[J]. Sensors, 2008, 8(10): 6 165- 6 187.
[24]  Zhan Chesheng, Yin Jian, Wang Huixiao, et al. The regional evapotranspiration estimation using a two-layer model based on quantitative remote sensing in Shahe River Basin[J].Journal of National Resource, 2013, 28 (1): 161-170.[占车生, 尹剑, 王会肖, 等. 基于双层模型的沙河流域蒸散发定量遥感估算[J]. 自然资源学报, 2013, 28(1): 161-170.]
[25]  Jia Kun,Yao Yunjun,Wei Xiangqin,et al. A review on fractional vegetation cover estimation using remote sensing[J]. Advances in Earth Science, 2013, 28(7): 774-782.[贾坤, 姚云军, 魏香琴, 等. 植被覆盖度遥感估算研究进展[J]. 地球科学进展, 2013, 28(7): 774-782.]
[26]  Xia Jun, Ye Aizhong, Wang Rui, et al. Large scale distributed hydrological model of inter-basin water transfer and its application [J]. South-to-North Water Diversion and Water Science & Technology, 2011, 9(1): 1-7, 95.[夏军, 叶爱中, 王蕊, 等. 跨流域调水的大尺度分布式水文模型研究与应用[J]. 南水北调与水利科技, 2011, 9(1): 1-7, 95.]
[27]  Huang Chunlin, Li Xin. Experiments of soil moisture data assimilation system based on ensemble kalman filter [J]. Plateau Meteorology, 2006, 25(4): 665-671.[黄春林, 李新. 基于集合卡尔曼滤波的土壤水分同化试验[J]. 高原气象, 2006, 25(4): 665-671.]
[28]  Huang Chunlin, Li Xin. Sensitivity analysis on land data assimilation scheme of soil moisture [J]. Advances in Water Science, 2006, 17(4): 457-465.[黄春林, 李新. 土壤水分同化系统的敏感性试验研究[J]. 水科学进展, 2006, 17(4): 457-465.]
[29]  Duan Q, Sorooshian S, Gupta V. Effective and efficient global optimization for conceptual rainfall-runoff models[J]. Water Resources Research,1992, 28(4): 1 015-1 031.
[30]  Wu Bingfang, Xiong Jun, Yan Na’na, et al. ET-Watch for monitoring regional evapotranspiration with remote sensing[J]. Advances in Water Science, 2008, 19(5): 671-678.[吴炳方, 熊隽, 闫娜娜, 等. 基于遥感的区域蒸散量监测方法——ET-Watch[J]. 水科学进展, 2008, 19(5): 671-678.]

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