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

Translated title of the contribution: Review of Regionalization and Remote Sensing Based Method for Hydrological Model Parameters Calibration in Ungauged Basins

Lulu Jiang, Huan Wu, Lorenzo Alfieri, Xiaomeng Li, John S. Kimball, Xiuwan Chen

Research output: Contribution to journalReview articlepeer-review

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.

Translated title of the contributionReview of Regionalization and Remote Sensing Based Method for Hydrological Model Parameters Calibration in Ungauged Basins
Original languageChinese (Traditional)
Pages (from-to)1152-1164
Number of pages13
JournalBeijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis
Volume56
Issue number6
DOIs
StatePublished - Nov 20 2020

Keywords

  • Hydrological model
  • Regionalization
  • Streamflow prediction
  • Ungauged basins

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