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\begin{document}

\title{ResORR: A Globally Scalable and Satellite Data-driven Algorithm for
River Flow Regulation due to Reservoir Operations}



\author[1]{Pritam Das}%
\author[1]{Faisal Hossain}%
\author[1]{Sanchit Minocha}%
\author[1]{Sarath Suresh}%
\author[1]{George Darkwah}%
\author[2]{Hyongki Lee}%
\author[3]{Konstantinos M. Andreadis}%
\author[4]{Perry C Oddo}%
\affil[1]{University of Washington}%
\affil[2]{University of Houston}%
\affil[3]{University of Massachusetts Amherst}%
\affil[4]{Science Systems and Applications, Inc.}%


\vspace{-1em}



  
  \date{May 21, 2024}


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\begin{abstract}
Storage and release of surface water by reservoirs can alter the natural
streamflow pattern of rivers with negative impacts on the environment.
Such reservoir-driven river regulation is poorly understood at a global
scale due to a lack of publicly available in-situ data on reservoir
operations. However, with rapid advancements in satellite remote
sensing-based tracking of reservoir state, this gap in data availability
can be bridged. In this study, we modeled regulated flow of rivers using
only satellite-observed reservoir state and hydrological modeling forced
also with satellite precipitation data. We propose a globally scalable
algorithm, ResORR (Reservoir Operations driven River Regulation), to
predict regulated river flow and tested it over the heavily regulated
basin of the Cumberland River in the US. ResORR was found able to model
regulated river flow due to upstream reservoir operations of the
Cumberland River. Over a mountainous basin dominated by high rainfall,
ResORR was effective in capturing extreme flooding modified by upstream
hydropower dam operations. ResORR successfully captured the peak of the
regulated river flow altered by hydropower dam and flood control
operations during the devastating floods of 2018 in the South Indian
state of Kerala. On average, ResORR improved regulation river flow
simulation by more than 50\% across all performance metrics when
compared to a hydrologic model without a regulation module. ResORR is a
timely algorithm for understanding human regulation of surface water as
satellite-estimated reservoir state is expected to improve globally with
the recently launched Surface Water and Ocean Topography (SWOT) mission.%
\end{abstract}%



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\textbf{Hosted file}

\verb`979200_0_art_file_11604954_s47ww8.docx`  available at \url{https://authorea.com/users/701525/articles/687938-resorr-a-globally-scalable-and-satellite-data-driven-algorithm-for-river-flow-regulation-due-to-reservoir-operations}

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