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Assessing impacts of hydropower development on downstream inundation using a hybrid modeling framework integrating satellite data-driven and process-based models

Assessing impacts of hydropower development on downstream inundation using a hybrid modeling framework integrating satellite data-driven and process-based models
Assessing impacts of hydropower development on downstream inundation using a hybrid modeling framework integrating satellite data-driven and process-based models
Despite its energy benefits, hydropower dam development often causes ecological damages and social disruption, including downstream livelihood impacts, and biodiversity loss. Current methods for analyzing changes in downstream inundation extent due to dam operation typically rely on historical ground or satellite observations, or on coupled hydrological-hydrodynamic modeling. However, while the former fails to isolate hydropower impacts from climate variations, the latter suffers from extensive input data requirements and high computational burden. This study proposes a novel hybrid framework integrating satellite data-driven Forecasting Inundation Extents using REOF (Rotated Empirical Orthogonal Function) analysis (FIER), and the process-based Hydrological Predictions for the Environment (HYPE) model incorporating the Integrated Reservoir Operation Scheme (IROS). The framework enables the isolated assessment of long-term hydropower impacts on downstream inundation dynamics with computational efficiency and reduced ground data requirements, making it suitable for poorly gauged regions. Applying FIER-HYPE-IROS to the Lower Mekong River basin (LMB), a region significantly affected by dam proliferation impacting fisheries and agriculture, we found that dam operations decreased decadal-average wet season water levels by up to 5% and increased dry season levels by up to 11%. Wet season inundation occurrence decreased by 11 days and the inundated area by 6%, while dry season inundation occurrence extended by 6 days and the surface water area increased by 40%. Although the current framework does not explicitly assess the downstream hydrological modifications, it offers a cost-effective alternative for evaluating upstream alterations on inundation dynamics, such as dam operations, particularly in poorly gauged regions.
flood, hydrology, mekong river basin (MRB), remote sensing, reservoirs
0043-1397
Do, Son K.
03884159-8161-409a-ba5e-114a9a835a0d
Du, Tien L.T.
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Lee, Hyongki
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Chan, Chi-Hung
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Bui, Duong D.
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Ngoc, Nguyen T.
24012205-3c13-453d-861c-140fd86a6406
Markert, Kel N.
aa801b52-bb4b-4d9c-bb18-8d701742965c
Stromqvist, Johan
d483d5b2-8f9e-4e9b-bd9d-239b1c57982b
Towashiraporn, Peeranan
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Darby, Steve E.
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Bui, Linh K.
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Do, Son K.
03884159-8161-409a-ba5e-114a9a835a0d
Du, Tien L.T.
8e10bd8b-247c-403d-b11e-539084cc42fd
Lee, Hyongki
9863190c-b68f-4bf2-bc6d-076ffc651089
Chan, Chi-Hung
581d655c-28e8-48d1-922e-a489c020c5f9
Bui, Duong D.
4f2a58df-9c82-4098-a194-342b99f95030
Ngoc, Nguyen T.
24012205-3c13-453d-861c-140fd86a6406
Markert, Kel N.
aa801b52-bb4b-4d9c-bb18-8d701742965c
Stromqvist, Johan
d483d5b2-8f9e-4e9b-bd9d-239b1c57982b
Towashiraporn, Peeranan
b617e63b-ddeb-4e09-85b0-400a6fc44f7b
Darby, Steve E.
4c3e1c76-d404-4ff3-86f8-84e42fbb7970
Bui, Linh K.
60fcebc2-e2db-4a75-8568-fe7141f41952

Do, Son K., Du, Tien L.T., Lee, Hyongki, Chan, Chi-Hung, Bui, Duong D., Ngoc, Nguyen T., Markert, Kel N., Stromqvist, Johan, Towashiraporn, Peeranan, Darby, Steve E. and Bui, Linh K. (2025) Assessing impacts of hydropower development on downstream inundation using a hybrid modeling framework integrating satellite data-driven and process-based models. Water Resources Research, 61 (3), [e2024WR037528]. (doi:10.1029/2024WR037528).

Record type: Article

Abstract

Despite its energy benefits, hydropower dam development often causes ecological damages and social disruption, including downstream livelihood impacts, and biodiversity loss. Current methods for analyzing changes in downstream inundation extent due to dam operation typically rely on historical ground or satellite observations, or on coupled hydrological-hydrodynamic modeling. However, while the former fails to isolate hydropower impacts from climate variations, the latter suffers from extensive input data requirements and high computational burden. This study proposes a novel hybrid framework integrating satellite data-driven Forecasting Inundation Extents using REOF (Rotated Empirical Orthogonal Function) analysis (FIER), and the process-based Hydrological Predictions for the Environment (HYPE) model incorporating the Integrated Reservoir Operation Scheme (IROS). The framework enables the isolated assessment of long-term hydropower impacts on downstream inundation dynamics with computational efficiency and reduced ground data requirements, making it suitable for poorly gauged regions. Applying FIER-HYPE-IROS to the Lower Mekong River basin (LMB), a region significantly affected by dam proliferation impacting fisheries and agriculture, we found that dam operations decreased decadal-average wet season water levels by up to 5% and increased dry season levels by up to 11%. Wet season inundation occurrence decreased by 11 days and the inundated area by 6%, while dry season inundation occurrence extended by 6 days and the surface water area increased by 40%. Although the current framework does not explicitly assess the downstream hydrological modifications, it offers a cost-effective alternative for evaluating upstream alterations on inundation dynamics, such as dam operations, particularly in poorly gauged regions.

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Accepted/In Press date: 13 February 2025
e-pub ahead of print date: 25 March 2025
Published date: 25 March 2025
Keywords: flood, hydrology, mekong river basin (MRB), remote sensing, reservoirs

Identifiers

Local EPrints ID: 500570
URI: http://eprints.soton.ac.uk/id/eprint/500570
ISSN: 0043-1397
PURE UUID: 4727cb90-574c-4594-b76d-24efa9e5678a
ORCID for Steve E. Darby: ORCID iD orcid.org/0000-0001-8778-4394

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Date deposited: 06 May 2025 16:47
Last modified: 22 Aug 2025 01:43

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Contributors

Author: Son K. Do
Author: Tien L.T. Du
Author: Hyongki Lee
Author: Chi-Hung Chan
Author: Duong D. Bui
Author: Nguyen T. Ngoc
Author: Kel N. Markert
Author: Johan Stromqvist
Author: Peeranan Towashiraporn
Author: Steve E. Darby ORCID iD
Author: Linh K. Bui

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