Deriving transmission losses in ephemeral rivers using satellite imagery and machine learning
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Published:2023-02-09
Issue:3
Volume:27
Page:703-722
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ISSN:1607-7938
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Container-title:Hydrology and Earth System Sciences
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language:en
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Short-container-title:Hydrol. Earth Syst. Sci.
Author:
Di Ciacca AntoineORCID, Wilson Scott, Kang Jasmine, Wöhling ThomasORCID
Abstract
Abstract. Transmission losses are the loss in the flow volume of a river as water
moves downstream. These losses provide crucial ecosystem services,
particularly in ephemeral and intermittent river systems. Transmission
losses can be quantified at many scales using different measurement
techniques. One of the most common methods is differential gauging of
river flow at two locations. An alternative method for non-perennial
rivers is to replace the downstream gauging location by visual
assessments of the wetted river length on satellite images. The
transmission losses are then calculated as the flow gauged at the
upstream location divided by the wetted river length. We used this
approach to estimate the transmission losses in the Selwyn River
(Canterbury, New Zealand) using 147 satellite images collected between
March 2020 and May 2021. The location of the river drying front was
verified in the field on six occasions and seven differential gauging
campaigns were conducted to ground-truth the losses estimated from the
satellite images. The transmission loss point data obtained using the
wetted river lengths and differential gauging campaigns were used to
train an ensemble of random forest models to predict the continuous
hourly time series of transmission losses and their uncertainties. Our
results show that the Selwyn River transmission losses ranged between 0.25 and 0.65 m3s-1km-1 during most of the 1-year study period. However, shortly after a flood peak the losses could reach up to
1.5 m3s-1km-1. These results enabled us to improve our
understanding of the Selwyn River groundwater–surface water interactions and provide valuable data to support water management. We
argue that our framework can easily be adapted to other ephemeral rivers
and to longer time series.
Funder
Ministry of Business, Innovation and Employment
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
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