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Spatio-temporal shoreline assessment of a dynamic deltaic coast: integrating DSAS and ecological indices for Konark Coastal Belt, India (2005–2025).

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Title: Spatio-temporal shoreline assessment of a dynamic deltaic coast: integrating DSAS and ecological indices for Konark Coastal Belt, India (2005–2025).
Authors: Yadav, Vansika1 (AUTHOR), Dey, Sudip2 (AUTHOR), Pan, Suprakash3 (AUTHOR) pan.suprakash@gmail.com
Source: Environmental Earth Sciences. May2026, Vol. 85 Issue 10, p1-20. 20p.
Subject Terms: *Spatiotemporal processes, *Shorelines, *River deltas, *Sedimentation & deposition, *Beach erosion, *Environmental indicators, *Coastal zone management, *Shoreline monitoring
Geographic Terms: India
Abstract: The Konark coastal belt, a morphodynamically active segment of the Mahanadi deltaic system, is undergoing rapid shoreline transformation driven by the interplay of sea-level rise, altered wave regimes, and intensifying anthropogenic pressures. This study aims to present 20-year spatio-temporal assessment (2005–2025) of shoreline dynamics across three morphodynamically distinct segments at Gop, Kakatpur, and Astarang using multi-temporal Landsat imageries, Digital Shoreline Analysis System (DSAS) metrics, and ecological indices. This study focuses on long-term shoreline dynamics; cyclone and extreme event influences were not explicitly considered. DSAS analyses showed peak erosion of − 3.87 m/year at Kakatpur and accretion up to + 3.12 m/year near Gop, with long-term retreat averaging − 2.14 m/year across erosion zones, and + 1.98 m/year in accreting areas. The results reveal pronounced accretion in Kakatpur (0.59 m/year), moderate gain with erosion hotspots in Gop (0.15 m/year), and highly variable dynamics in Astarang (2.8 m/year). Despite net progradation, spatial heterogeneity is evident with 20.55 to 33.71% of transects experiencing erosion. Ecological indices demonstrate substantial ecosystem transition, with vegetated areas expanding from 38% to 69% with 5,899.2 ha, and soil fertility improvements over 3,256.9 ha, while moisture-dominated zones declined from 42% to 27%, indicating accretional sediment-vegetation feedback mechanisms. Kalman filter-based predictive modelling projects shoreline retreat of up to − 16.5 m in erosion hotspots by 2035 and − 32.3 m by 2045, with uncertainty ranges of ± 10 m to ± 24 m across zones specific evolution scenarios with RMSE validation demonstrating acceptable forecast reliability (± 18.17 m overall). The integration of DSAS metrics revealed strong correlations between rate-based estimators (r = 0.997), validating methodological consistency. The findings provide a zone-specific decision-support framework for coastal resilience, hazard mitigation, and habitat restoration, transferable to comparable deltaic systems globally. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
FullText Text:
  Availability: 0
Header DbId: enr
DbLabel: Energy & Power Source
An: 194452072
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
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  Label: Title
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  Data: Spatio-temporal shoreline assessment of a dynamic deltaic coast: integrating DSAS and ecological indices for Konark Coastal Belt, India (2005–2025).
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  Data: <searchLink fieldCode="AR" term="%22Yadav%2C+Vansika%22">Yadav, Vansika</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dey%2C+Sudip%22">Dey, Sudip</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pan%2C+Suprakash%22">Pan, Suprakash</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> pan.suprakash@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Earth+Sciences%22">Environmental Earth Sciences</searchLink>. May2026, Vol. 85 Issue 10, p1-20. 20p.
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  Data: *<searchLink fieldCode="DE" term="%22Spatiotemporal+processes%22">Spatiotemporal processes</searchLink><br />*<searchLink fieldCode="DE" term="%22Shorelines%22">Shorelines</searchLink><br />*<searchLink fieldCode="DE" term="%22River+deltas%22">River deltas</searchLink><br />*<searchLink fieldCode="DE" term="%22Sedimentation+%26+deposition%22">Sedimentation & deposition</searchLink><br />*<searchLink fieldCode="DE" term="%22Beach+erosion%22">Beach erosion</searchLink><br />*<searchLink fieldCode="DE" term="%22Environmental+indicators%22">Environmental indicators</searchLink><br />*<searchLink fieldCode="DE" term="%22Coastal+zone+management%22">Coastal zone management</searchLink><br />*<searchLink fieldCode="DE" term="%22Shoreline+monitoring%22">Shoreline monitoring</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22India%22">India</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The Konark coastal belt, a morphodynamically active segment of the Mahanadi deltaic system, is undergoing rapid shoreline transformation driven by the interplay of sea-level rise, altered wave regimes, and intensifying anthropogenic pressures. This study aims to present 20-year spatio-temporal assessment (2005–2025) of shoreline dynamics across three morphodynamically distinct segments at Gop, Kakatpur, and Astarang using multi-temporal Landsat imageries, Digital Shoreline Analysis System (DSAS) metrics, and ecological indices. This study focuses on long-term shoreline dynamics; cyclone and extreme event influences were not explicitly considered. DSAS analyses showed peak erosion of − 3.87 m/year at Kakatpur and accretion up to + 3.12 m/year near Gop, with long-term retreat averaging − 2.14 m/year across erosion zones, and + 1.98 m/year in accreting areas. The results reveal pronounced accretion in Kakatpur (0.59 m/year), moderate gain with erosion hotspots in Gop (0.15 m/year), and highly variable dynamics in Astarang (2.8 m/year). Despite net progradation, spatial heterogeneity is evident with 20.55 to 33.71% of transects experiencing erosion. Ecological indices demonstrate substantial ecosystem transition, with vegetated areas expanding from 38% to 69% with 5,899.2 ha, and soil fertility improvements over 3,256.9 ha, while moisture-dominated zones declined from 42% to 27%, indicating accretional sediment-vegetation feedback mechanisms. Kalman filter-based predictive modelling projects shoreline retreat of up to − 16.5 m in erosion hotspots by 2035 and − 32.3 m by 2045, with uncertainty ranges of ± 10 m to ± 24 m across zones specific evolution scenarios with RMSE validation demonstrating acceptable forecast reliability (± 18.17 m overall). The integration of DSAS metrics revealed strong correlations between rate-based estimators (r = 0.997), validating methodological consistency. The findings provide a zone-specific decision-support framework for coastal resilience, hazard mitigation, and habitat restoration, transferable to comparable deltaic systems globally. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=194452072
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s12665-026-12967-5
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 20
        StartPage: 1
    Subjects:
      – SubjectFull: Spatiotemporal processes
        Type: general
      – SubjectFull: Shorelines
        Type: general
      – SubjectFull: River deltas
        Type: general
      – SubjectFull: Sedimentation & deposition
        Type: general
      – SubjectFull: Beach erosion
        Type: general
      – SubjectFull: Environmental indicators
        Type: general
      – SubjectFull: Coastal zone management
        Type: general
      – SubjectFull: Shoreline monitoring
        Type: general
      – SubjectFull: India
        Type: general
    Titles:
      – TitleFull: Spatio-temporal shoreline assessment of a dynamic deltaic coast: integrating DSAS and ecological indices for Konark Coastal Belt, India (2005–2025).
        Type: main
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            NameFull: Yadav, Vansika
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            NameFull: Dey, Sudip
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            NameFull: Pan, Suprakash
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            – D: 15
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 85
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              Value: 10
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            – TitleFull: Environmental Earth Sciences
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