Estimating Reservoir Sedimentation Rates and Storage Capacity Losses Using High‐Resolution Sentinel‐2 Satellite and Water Level Data

Yao, Fangfang; Minear, J. Toby; Rajagopalan, Balaji; Wang, Chao; Yang, Kehan; Livneh, Ben

doi:10.1029/2023gl103524

i

Estimating Reservoir Sedimentation Rates and Storage Capacity Losses Using High‐Resolution Sentinel‐2 Satellite and Water Level Data

Supporting Files

2023
By Yao, Fangfang ; Minear, J. Toby ; Rajagopalan, Balaji ; ...

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Journal Title:

Geophysical Research Letters
Personal Author:

Yao, Fangfang ; Minear, J. Toby ; Rajagopalan, Balaji ; Wang, Chao ; Yang, Kehan ; Livneh, Ben
NOAA Program & Office:

CIRES (Cooperative Institute for Research in Environmental Sciences)
Description:

In nearly all reservoirs, storage capacity is steadily lost due to trapping and accumulation of sediment. Despite critical importance to freshwater supplies, reservoir sedimentation rates are poorly understood due to sparse bathymetry survey data and challenges in modeling sedimentation sequestration. Here, we proposed a novel approach to estimate reservoir sedimentation rates and storage capacity losses using high‐resolution Sentinel‐2 satellites and daily in situ water levels. Validated on eight reservoirs across the central and western United States, the estimated reservoir bathymetry and sedimentation rates have a mean error of 4.08% and 0.05% yr−1, respectively. Estimated storage capacity losses to sediment vary among reservoirs, which overall agrees with the pattern from survey data. We also demonstrated the potential applications of the proposed approach to ungauged reservoirs by combining Sentinel‐2 with sub‐monthly water levels from recent satellite altimeters.
Keywords:

General Earth And Planetary Sciences Geophysics General Earth And Planetary Sciences General Earth And Planetary Sciences
Source:

Geophysical Research Letters, 50(16)
DOI:

https://doi.org/10.1029/2023gl103524
ISSN:

0094-8276 ; 1944-8007
Publisher:

American Geophysical Union (AGU)
Document Type:

Journal Article
Funding:

Grant no. NA17OAR4320101
License:

https://creativecommons.org/licenses/by-nc/4.0/
Rights Information:

CC BY-NC
Compliance:

Library
Main Document Checksum:

urn:sha256:5eb49c9a477906bab6a402b5ef5928f257a302f3a9428dfdea1d22c0ffd9f6d3
Download URL:

https://repository.library.noaa.gov/view/noaa/59252/noaa_59252_DS1.pdf
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[PDF - 2.18 MB ]

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