基于遥感与区域化方法的无资料流域水文模型参数优化方法

doi:10.13209/j.0479-8023.2020.076

北京大学学报自然科学版 ›› 2020, Vol. 56 ›› Issue (6): 1152-1164.DOI: 10.13209/j.0479-8023.2020.076

基于遥感与区域化方法的无资料流域水文模型参数优化方法

姜璐璐^1,2, 吴欢^2,3,4,†, Lorenzo Alfieri⁵, 李潇濛², John S. Kimball⁶, 陈秀万¹

1. 北京大学遥感与地理信息系统研究所, 北京 100871 2. 中山大学大气科学学院, 珠海 519082 3. 南方海洋科学与工程实验室, 珠海 519082 4. Earth System Science Interdisciplinary Center, University of Maryland, College Park 20740 5. European Commission, Joint Research Centre, Ispra 21027 6. Numerical Terradynamic Simulation Group, University of Montana, Missoula 59812

收稿日期:2019-12-23 修回日期:2020-06-09 出版日期:2020-11-20 发布日期:2020-11-20
通讯作者: 吴欢, E-mail: wuhuan3(at)mail.sysu.edu.cn
基金资助:
国家自然科学基金(41775106, 41861144014, U1811464, 41905101)、国家重点研发计划(2017YFA0604300)、广东省自然科学基金(2017A030313221)和广东省引进创新创业团队计划(2017ZT07X355)资助

Review of Regionalization and Remote Sensing Based Method for Hydrological Model Parameters Calibration in Ungauged Basins

JIANG Lulu^1,2, WU Huan^2,3,4,†, Lorenzo Alfieri⁵, LI Xiaomeng², John S. Kimball⁶, CHEN Xiuwan¹

1. Institute of Remote Sensing and Geographical Information System, Peking University, Beijing 100871 2. School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082 3. Southern Marine Science and Engineering Laboratory, Zhuhai 519082 4. Earth System Science Interdisciplinary Center, University of Maryland, College Park 20740 5. European Commission, Joint Research Centre, Ispra 21027 6. Numerical Terradynamic Simulation Group, University of Montana, Missoula 59812

Received:2019-12-23 Revised:2020-06-09 Online:2020-11-20 Published:2020-11-20
Contact: WU Huan, E-mail: wuhuan3(at)mail.sysu.edu.cn

摘要/Abstract

摘要：

针对无资料流域径流预报的难点, 探讨水文模型参数优化的共性问题, 综述区域化方法和遥感方法的研究现状。首先从水文模型参数优化面临的共性问题, 即水文地理数据生成、目标函数构建和优化方法选择等问题出发, 分析其对参数优选结果的影响, 并归纳出当前广泛认可的解决方案。然后结合区域化方法的技术原理和研究进展, 着重论述测站密度对区域化方法性能的影响, 并分析该方法在中国的适用性。接着从研究区域、水文模型结构、遥感资料以及率定目标等方面归纳总结遥感方法优化水文模型参数的最新研究进展。最后对区域化方法和遥感方法的优缺点及未来发展前景进行对比分析, 为中国无资料或缺资料流域径流预报实践提供参考。

关键词: 水文模型, 径流预报, 无资料流域, 区域化方法

Abstract:

Challenges in calibration of hydrological model parameters in ungauged basins were discussed, and the latest advances in regionalization method and remote sensing based method were summarized. First, the common problems in the hydrological model calibration (derivation of hydrographic parameters, construction of objective function and selection of optimization method) and their influences on the results of parameter optimization) were analyzed and leading-edge solutions were then provided. Next, fundamental principles and study progress of regionalization method were introduced, and the importance of stream gauge network density of donor catchments for the streamflow prediction was emphasized. The advance of remote sensing based hydrological model calibration method was discussed in terms of model spatial domain, model structure, satellite data source, and

calibration target. Finally, the advantages and disadvantages and the future development prospect between regionalization method and remote sensing based method were compared and analyzed, and potential practical strategies for continuous streamflow prediction in ungauged basins in China are suggested.

Key words: hydrological model, streamflow prediction, ungauged basins, regionalization

姜璐璐, 吴欢, Lorenzo Alfieri, 李潇濛, John S. Kimball, 陈秀万. 基于遥感与区域化方法的无资料流域水文模型参数优化方法[J]. 北京大学学报自然科学版, 2020, 56(6): 1152-1164.

JIANG Lulu, WU Huan, Lorenzo Alfieri, LI Xiaomeng, John S. Kimball, CHEN Xiuwan. Review of Regionalization and Remote Sensing Based Method for Hydrological Model Parameters Calibration in Ungauged Basins[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2020, 56(6): 1152-1164.

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链接本文: https://xbna.pku.edu.cn/CN/10.13209/j.0479-8023.2020.076

https://xbna.pku.edu.cn/CN/Y2020/V56/I6/1152

基于遥感与区域化方法的无资料流域水文模型参数优化方法

Review of Regionalization and Remote Sensing Based Method for Hydrological Model Parameters Calibration in Ungauged Basins

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