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Suspended Sediment Dynamics Under the Compound Influence of a Natural Lake and Navigation Dams in the Upper Mississippi River: Insights from Remote Sensing and Modeling.

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Title: Suspended Sediment Dynamics Under the Compound Influence of a Natural Lake and Navigation Dams in the Upper Mississippi River: Insights from Remote Sensing and Modeling.
Authors: Gautam, Aashish1 (AUTHOR), Prajapati, Rajaram2 (AUTHOR), Talchabhadel, Rocky1 (AUTHOR) rocky.talchabhadel@jsums.edu
Source: Remote Sensing. Apr2026, Vol. 18 Issue 7, p1095. 18p.
Subjects: Suspended sediments, Remote sensing, Sediment transport, River ecology, Inland navigation, Lakes
Geographic Terms: Mississippi River
Abstract: Highlights: What are the main findings? Lake Pepin reduces suspended sediment concentration by ~50%, creating a sediment discontinuity. Watershed-scale sediment exports strongly correlate with satellite-derived sediment fluxes (r = 0.80, R2 = 0.64, p < 0.001). What are the implications of the main findings? Upstream watershed conservation will improve Lake Pepin water quality; however, downstream river conditions are strongly dependent on local sediment sources. Satellite-based remote sensing, when integrated with watershed models, can enable sediment monitoring. Suspended sediment plays a critical role in river ecosystem health, nutrient transport, and water quality, while also affecting navigation infrastructure and reservoir sedimentation in regulated rivers. A sound understanding of sediment dynamics in complex river systems consisting of natural lakes and engineered navigation structures remains a critical challenge for river management and water quality assessment. This study investigates the longitudinal patterns of suspended sediment concentration (SSC) along a ~500-km reach of the Upper Mississippi River containing Lake Pepin and multiple lock-and-dam structures. In this study, we analyze remotely sensed SSC estimates from the RivSED database (2001–2019). The SSC datasets were then integrated with in situ streamflow measurements and potential soil erosion to characterize sediment supply and transport dynamics and relate with upstream contributing watershed's attributes. Results reveal distinct sediment behavior patterns: (1) Lake Pepin functions as a significant sediment trap, creating a clear discontinuity in SSC with mean concentrations decreasing from ~25 mg/L upstream to ~13 mg/L within the lake; (2) longitudinal SSC profiles show re-establishment patterns downstream of the lake, reaching ~23 mg/L approximately 100 km below the outlet; (3) strong positive correlation (r = 0.80, R2 = 0.64, p < 0.001) exists between watershed sediment export and river-reach-scale sediment fluxes. Temporal analysis across these upstream monitoring stations shows sediment export rates ranging from 10,000 to 200,000 tons/year, with notable inter-annual variability driven by discharge patterns. This research demonstrates the utility of combining a spectrum of datasets for exploring sediment dynamics in complex riverine systems. Though the current study is a case study, the study results provide crucial insights for navigation management, ecosystem health assessment, and watershed management strategies in similar settings. [ABSTRACT FROM AUTHOR]
Copyright of Remote Sensing is the property of MDPI 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.)
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  Data: Suspended Sediment Dynamics Under the Compound Influence of a Natural Lake and Navigation Dams in the Upper Mississippi River: Insights from Remote Sensing and Modeling.
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Remote+Sensing%22&quot;&gt;Remote Sensing&lt;/searchLink&gt;. Apr2026, Vol. 18 Issue 7, p1095. 18p.
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– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Highlights: What are the main findings? Lake Pepin reduces suspended sediment concentration by ~50%, creating a sediment discontinuity. Watershed-scale sediment exports strongly correlate with satellite-derived sediment fluxes (r = 0.80, R2 = 0.64, p &lt; 0.001). What are the implications of the main findings? Upstream watershed conservation will improve Lake Pepin water quality; however, downstream river conditions are strongly dependent on local sediment sources. Satellite-based remote sensing, when integrated with watershed models, can enable sediment monitoring. Suspended sediment plays a critical role in river ecosystem health, nutrient transport, and water quality, while also affecting navigation infrastructure and reservoir sedimentation in regulated rivers. A sound understanding of sediment dynamics in complex river systems consisting of natural lakes and engineered navigation structures remains a critical challenge for river management and water quality assessment. This study investigates the longitudinal patterns of suspended sediment concentration (SSC) along a ~500-km reach of the Upper Mississippi River containing Lake Pepin and multiple lock-and-dam structures. In this study, we analyze remotely sensed SSC estimates from the RivSED database (2001–2019). The SSC datasets were then integrated with in situ streamflow measurements and potential soil erosion to characterize sediment supply and transport dynamics and relate with upstream contributing watershed&#39;s attributes. Results reveal distinct sediment behavior patterns: (1) Lake Pepin functions as a significant sediment trap, creating a clear discontinuity in SSC with mean concentrations decreasing from ~25 mg/L upstream to ~13 mg/L within the lake; (2) longitudinal SSC profiles show re-establishment patterns downstream of the lake, reaching ~23 mg/L approximately 100 km below the outlet; (3) strong positive correlation (r = 0.80, R2 = 0.64, p &lt; 0.001) exists between watershed sediment export and river-reach-scale sediment fluxes. Temporal analysis across these upstream monitoring stations shows sediment export rates ranging from 10,000 to 200,000 tons/year, with notable inter-annual variability driven by discharge patterns. This research demonstrates the utility of combining a spectrum of datasets for exploring sediment dynamics in complex riverine systems. Though the current study is a case study, the study results provide crucial insights for navigation management, ecosystem health assessment, and watershed management strategies in similar settings. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: &lt;i&gt;Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder&#39;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.&lt;/i&gt; (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/rs18071095
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 1095
    Subjects:
      – SubjectFull: Suspended sediments
        Type: general
      – SubjectFull: Remote sensing
        Type: general
      – SubjectFull: Sediment transport
        Type: general
      – SubjectFull: River ecology
        Type: general
      – SubjectFull: Inland navigation
        Type: general
      – SubjectFull: Lakes
        Type: general
      – SubjectFull: Mississippi River
        Type: general
    Titles:
      – TitleFull: Suspended Sediment Dynamics Under the Compound Influence of a Natural Lake and Navigation Dams in the Upper Mississippi River: Insights from Remote Sensing and Modeling.
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            NameFull: Gautam, Aashish
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            NameFull: Prajapati, Rajaram
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            NameFull: Talchabhadel, Rocky
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            – D: 01
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
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