Academic Journal

Runoff evolution and attribution analysis over the past 40 years in Xiangjiang River Basin, China.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Runoff evolution and attribution analysis over the past 40 years in Xiangjiang River Basin, China.
Συγγραφείς: Xiang, Jin1 (AUTHOR), Yang, Liu1,2,3 (AUTHOR) water2021a@163.com, Feng, Chang1,2,3 (AUTHOR), Sun, Ruisi1 (AUTHOR), Liu, Chang1 (AUTHOR), Li, Na1 (AUTHOR)
Πηγή: Environment, Development & Sustainability. May2026, p1-26. 26p.
Θεματικοί όροι: Runoff, Urbanization, Hydrologic models, Runoff models, Anthropogenic effects on nature, Watersheds
Γεωγραφικοί όροι: China
Περίληψη: The traditional runoff attribution reflects the variation intensity of human activities on underlying surface parameters, but it is difficult to consider the heterogeneity of underlying surface, and it is impossible to distinguish the specific influencing factors. In this study, the time-varying elastic model is used to improve the traditional attribution method, and the driving factors of human activities are divided into land, economy and industrial water use. Then, we use the traditional Budyko model, time-varying elastic model and the water energy partitioning framework to analyze the driving forces of runoff evolution and discuss them in different periods. The results showed: (1) the annual runoff was upward with an average rate of 3.54 mm/a, and had a significant abrupt change in 1991 under urbanization. (2) The simulation effect of time-varying values is better than that of traditional model framework. The runoff driving force analysis considering urbanization is more consistent with the actual situation of the study area. (3) Comparative analysis of runoff attribution results by traditional Budyko model, time-varying Budyko model and water energy partitioning framework shows that: the attribution results of different stages are consistent, but there are slight differences in the attributions of each driving factor. (4) Precipitation and urbanization are the key influencing factors for the runoff evolution in each period of change. Consequently, urbanization development has significantly changed the precipitation-runoff response process in watershed. The results can provide some reference for disaster reduction in urbanized areas. [ABSTRACT FROM AUTHOR]
Copyright of Environment, Development & Sustainability is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Business Source Index
FullText Links:
  – Type: other
Text:
  Availability: 0
CustomLinks:
  – Url: https://dx.doi.org/doi:10.1007/s10668-026-07694-7
    Name: EDS - Springer Nature Journals (s7799221)
    Category: fullText
    Text: View record at Springer
Header DbId: bsx
DbLabel: Business Source Index
An: 193484744
RelevancyScore: 1412
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 1411.61413574219
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Runoff evolution and attribution analysis over the past 40 years in Xiangjiang River Basin, China.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Xiang%2C+Jin%22">Xiang, Jin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Liu%22">Yang, Liu</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> water2021a@163.com</i><br /><searchLink fieldCode="AR" term="%22Feng%2C+Chang%22">Feng, Chang</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sun%2C+Ruisi%22">Sun, Ruisi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Chang%22">Liu, Chang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Na%22">Li, Na</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Environment%2C+Development+%26+Sustainability%22">Environment, Development & Sustainability</searchLink>. May2026, p1-26. 26p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Runoff%22">Runoff</searchLink><br /><searchLink fieldCode="DE" term="%22Urbanization%22">Urbanization</searchLink><br /><searchLink fieldCode="DE" term="%22Hydrologic+models%22">Hydrologic models</searchLink><br /><searchLink fieldCode="DE" term="%22Runoff+models%22">Runoff models</searchLink><br /><searchLink fieldCode="DE" term="%22Anthropogenic+effects+on+nature%22">Anthropogenic effects on nature</searchLink><br /><searchLink fieldCode="DE" term="%22Watersheds%22">Watersheds</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The traditional runoff attribution reflects the variation intensity of human activities on underlying surface parameters, but it is difficult to consider the heterogeneity of underlying surface, and it is impossible to distinguish the specific influencing factors. In this study, the time-varying elastic model is used to improve the traditional attribution method, and the driving factors of human activities are divided into land, economy and industrial water use. Then, we use the traditional Budyko model, time-varying elastic model and the water energy partitioning framework to analyze the driving forces of runoff evolution and discuss them in different periods. The results showed: (1) the annual runoff was upward with an average rate of 3.54 mm/a, and had a significant abrupt change in 1991 under urbanization. (2) The simulation effect of time-varying values is better than that of traditional model framework. The runoff driving force analysis considering urbanization is more consistent with the actual situation of the study area. (3) Comparative analysis of runoff attribution results by traditional Budyko model, time-varying Budyko model and water energy partitioning framework shows that: the attribution results of different stages are consistent, but there are slight differences in the attributions of each driving factor. (4) Precipitation and urbanization are the key influencing factors for the runoff evolution in each period of change. Consequently, urbanization development has significantly changed the precipitation-runoff response process in watershed. The results can provide some reference for disaster reduction in urbanized areas. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Environment, Development & Sustainability is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsx&AN=193484744
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10668-026-07694-7
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 26
        StartPage: 1
    Subjects:
      – SubjectFull: Runoff
        Type: general
      – SubjectFull: Urbanization
        Type: general
      – SubjectFull: Hydrologic models
        Type: general
      – SubjectFull: Runoff models
        Type: general
      – SubjectFull: Anthropogenic effects on nature
        Type: general
      – SubjectFull: Watersheds
        Type: general
      – SubjectFull: China
        Type: general
    Titles:
      – TitleFull: Runoff evolution and attribution analysis over the past 40 years in Xiangjiang River Basin, China.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Xiang, Jin
      – PersonEntity:
          Name:
            NameFull: Yang, Liu
      – PersonEntity:
          Name:
            NameFull: Feng, Chang
      – PersonEntity:
          Name:
            NameFull: Sun, Ruisi
      – PersonEntity:
          Name:
            NameFull: Liu, Chang
      – PersonEntity:
          Name:
            NameFull: Li, Na
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 05
              M: 05
              Text: May2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 1387585X
          Titles:
            – TitleFull: Environment, Development & Sustainability
              Type: main
ResultId 1