An indicator-based framework for monitoring and assessing ecological flows downstream of dams.
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| Title: | An indicator-based framework for monitoring and assessing ecological flows downstream of dams. |
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| Authors: | Kim, Semin1 (AUTHOR) semkim@jbnu.ac.kr |
| Source: | Environmental Monitoring & Assessment. May2026, Vol. 198 Issue 5, p1-17. 17p. |
| Subject Terms: | *Dams, *Instream flow, *Water power, *Fish habitats, *Streamflow, *Hydraulic models, *River ecology |
| Abstract: | Dam operations worldwide have traditionally prioritized flood control, water supply, and hydropower generation, often resulting in altered flow regimes that affect downstream river environments. In this study, we present an indicator-based framework for monitoring and assessing ecological flows downstream of dams under alternative release scenarios designed to reflect key characteristics of natural runoff. The framework integrates hydraulic modeling with an ecological flow assessment approach to support the evaluation of flow conditions relevant to fish habitat sustainability. The methodology consists of five sequential steps: (1) selection of representative fish species as ecological targets, (2) development of dam release scenarios using the building block methodology (BBM), (3) estimation of ecologically critical flow (ECF) and ecological minimum flow (EMF) using the River2D hydrodynamic model, (4) formulation of the River Ecological Flow Index (REFI) to characterize flow–habitat conditions, and (5) long-term assessment of ecological flow status. Habitat responses to different release scenarios were quantified using weighted usable area (WUA), while REFI classified ecological flow conditions into five categories based on ECF and EMF thresholds. Application of the framework showed that hydropower-oriented releases produced persistently low ecological flow conditions, whereas ecologically informed release scenarios resulted in improved flow classifications. The proposed framework provides a practical and monitoring-oriented tool for assessing ecological flow conditions downstream of dams and offers quantitative support for adaptive dam operation and river management. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 193884656 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An indicator-based framework for monitoring and assessing ecological flows downstream of dams. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kim%2C+Semin%22">Kim, Semin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> semkim@jbnu.ac.kr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environmental+Monitoring+%26+Assessment%22">Environmental Monitoring & Assessment</searchLink>. May2026, Vol. 198 Issue 5, p1-17. 17p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Dams%22">Dams</searchLink><br />*<searchLink fieldCode="DE" term="%22Instream+flow%22">Instream flow</searchLink><br />*<searchLink fieldCode="DE" term="%22Water+power%22">Water power</searchLink><br />*<searchLink fieldCode="DE" term="%22Fish+habitats%22">Fish habitats</searchLink><br />*<searchLink fieldCode="DE" term="%22Streamflow%22">Streamflow</searchLink><br />*<searchLink fieldCode="DE" term="%22Hydraulic+models%22">Hydraulic models</searchLink><br />*<searchLink fieldCode="DE" term="%22River+ecology%22">River ecology</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Dam operations worldwide have traditionally prioritized flood control, water supply, and hydropower generation, often resulting in altered flow regimes that affect downstream river environments. In this study, we present an indicator-based framework for monitoring and assessing ecological flows downstream of dams under alternative release scenarios designed to reflect key characteristics of natural runoff. The framework integrates hydraulic modeling with an ecological flow assessment approach to support the evaluation of flow conditions relevant to fish habitat sustainability. The methodology consists of five sequential steps: (1) selection of representative fish species as ecological targets, (2) development of dam release scenarios using the building block methodology (BBM), (3) estimation of ecologically critical flow (ECF) and ecological minimum flow (EMF) using the River2D hydrodynamic model, (4) formulation of the River Ecological Flow Index (REFI) to characterize flow–habitat conditions, and (5) long-term assessment of ecological flow status. Habitat responses to different release scenarios were quantified using weighted usable area (WUA), while REFI classified ecological flow conditions into five categories based on ECF and EMF thresholds. Application of the framework showed that hydropower-oriented releases produced persistently low ecological flow conditions, whereas ecologically informed release scenarios resulted in improved flow classifications. The proposed framework provides a practical and monitoring-oriented tool for assessing ecological flow conditions downstream of dams and offers quantitative support for adaptive dam operation and river management. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=193884656 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10661-026-15290-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1 Subjects: – SubjectFull: Dams Type: general – SubjectFull: Instream flow Type: general – SubjectFull: Water power Type: general – SubjectFull: Fish habitats Type: general – SubjectFull: Streamflow Type: general – SubjectFull: Hydraulic models Type: general – SubjectFull: River ecology Type: general Titles: – TitleFull: An indicator-based framework for monitoring and assessing ecological flows downstream of dams. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kim, Semin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 01676369 Numbering: – Type: volume Value: 198 – Type: issue Value: 5 Titles: – TitleFull: Environmental Monitoring & Assessment Type: main |
| ResultId | 1 |