Two-dimensional differential form of distributed Xinanjiang model.

Saved in:
Bibliographic Details
Title: Two-dimensional differential form of distributed Xinanjiang model.
Authors: Zhao, Jianfei1 (AUTHOR), Liang, Zhongmin1 (AUTHOR) zmliang@hhu.edu.cn, Singh, Vijay P.2,3,4 (AUTHOR), Wen, Taiyi1 (AUTHOR), Hu, Yiming1 (AUTHOR), Li, Binquan1 (AUTHOR), Wang, Jun1 (AUTHOR)
Source: Hydrology & Earth System Sciences. 2025, Vol. 29 Issue 15, p3745-3769. 25p.
Subject Terms: *Hydrologic models, *Two-dimensional models, *Flood forecasting, *Runoff analysis, *Terrain mapping
Abstract: The distributed hydrologic models (DHMs) evolved from lumped hydrologic models, inheriting their modeling philosophy along with persistent numerical-error issues. Historically, these models tend to use established one-dimensional (1D) methods for slope concentration, which often struggle to effectively represent complex terrains. In this study, we formulated a purely differential form of mathematical equations for the distributed Xinanjiang model and developed a fully coupled numerical solution framework. We also introduced two-dimensional (2D) diffusion wave equations for surface slope concentration and derived 2D linear reservoir equations for subsurface slope concentration to replace their 1D counterparts. This culminated in the development of a two-dimensional differential form of the distributed Xinanjiang (TDD-XAJ) model. Two numerical experiments and the application of the TDD-XAJ model in a humid watershed were conducted to demonstrate the model. Our results suggested that (a) numerical errors in the existing distributed Xinanjiang model are significant and may be exacerbated by a potential terrain amplification effect, which could be effectively controlled by the fully coupled numerical framework within the TDD-XAJ model; (b) the 2D slope concentration methods showed enhanced terrain capture ability and eliminated the reliance on the flow direction algorithms used in 1D methods; and (c) the TDD-XAJ model exhibited improved simulation capabilities compared to the existing model when applied in the Tunxi watershed, particularly for flood volume. This study emphasizes the need to revisit DHMs which stem from lumped hydrological models, focusing on model equations and numerical implementations, which could enhance model performance and benefit the hydrological modeling community. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: enr
DbLabel: Energy & Power Source
An: 187501755
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Two-dimensional differential form of distributed Xinanjiang model.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Zhao%2C+Jianfei%22">Zhao, Jianfei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liang%2C+Zhongmin%22">Liang, Zhongmin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zmliang@hhu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Singh%2C+Vijay P%2E%22">Singh, Vijay P.</searchLink><relatesTo>2,3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wen%2C+Taiyi%22">Wen, Taiyi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hu%2C+Yiming%22">Hu, Yiming</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Binquan%22">Li, Binquan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Jun%22">Wang, Jun</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Hydrology+%26+Earth+System+Sciences%22">Hydrology & Earth System Sciences</searchLink>. 2025, Vol. 29 Issue 15, p3745-3769. 25p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Hydrologic+models%22">Hydrologic models</searchLink><br />*<searchLink fieldCode="DE" term="%22Two-dimensional+models%22">Two-dimensional models</searchLink><br />*<searchLink fieldCode="DE" term="%22Flood+forecasting%22">Flood forecasting</searchLink><br />*<searchLink fieldCode="DE" term="%22Runoff+analysis%22">Runoff analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Terrain+mapping%22">Terrain mapping</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The distributed hydrologic models (DHMs) evolved from lumped hydrologic models, inheriting their modeling philosophy along with persistent numerical-error issues. Historically, these models tend to use established one-dimensional (1D) methods for slope concentration, which often struggle to effectively represent complex terrains. In this study, we formulated a purely differential form of mathematical equations for the distributed Xinanjiang model and developed a fully coupled numerical solution framework. We also introduced two-dimensional (2D) diffusion wave equations for surface slope concentration and derived 2D linear reservoir equations for subsurface slope concentration to replace their 1D counterparts. This culminated in the development of a two-dimensional differential form of the distributed Xinanjiang (TDD-XAJ) model. Two numerical experiments and the application of the TDD-XAJ model in a humid watershed were conducted to demonstrate the model. Our results suggested that (a) numerical errors in the existing distributed Xinanjiang model are significant and may be exacerbated by a potential terrain amplification effect, which could be effectively controlled by the fully coupled numerical framework within the TDD-XAJ model; (b) the 2D slope concentration methods showed enhanced terrain capture ability and eliminated the reliance on the flow direction algorithms used in 1D methods; and (c) the TDD-XAJ model exhibited improved simulation capabilities compared to the existing model when applied in the Tunxi watershed, particularly for flood volume. This study emphasizes the need to revisit DHMs which stem from lumped hydrological models, focusing on model equations and numerical implementations, which could enhance model performance and benefit the hydrological modeling community. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=187501755
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.5194/hess-29-3745-2025
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 25
        StartPage: 3745
    Subjects:
      – SubjectFull: Hydrologic models
        Type: general
      – SubjectFull: Two-dimensional models
        Type: general
      – SubjectFull: Flood forecasting
        Type: general
      – SubjectFull: Runoff analysis
        Type: general
      – SubjectFull: Terrain mapping
        Type: general
    Titles:
      – TitleFull: Two-dimensional differential form of distributed Xinanjiang model.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Zhao, Jianfei
      – PersonEntity:
          Name:
            NameFull: Liang, Zhongmin
      – PersonEntity:
          Name:
            NameFull: Singh, Vijay P.
      – PersonEntity:
          Name:
            NameFull: Wen, Taiyi
      – PersonEntity:
          Name:
            NameFull: Hu, Yiming
      – PersonEntity:
          Name:
            NameFull: Li, Binquan
      – PersonEntity:
          Name:
            NameFull: Wang, Jun
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 08
              Text: 2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 10275606
          Numbering:
            – Type: volume
              Value: 29
            – Type: issue
              Value: 15
          Titles:
            – TitleFull: Hydrology & Earth System Sciences
              Type: main
ResultId 1