Estimating the Impacts of Ungauged Reservoirs Using Publicly Available Streamflow Simulations and Satellite Remote Sensing

On the Korean Peninsula, the Imjin River is a transboundary river that flows from North Korea into South Korea. Therefore, human intervention activities in the upstream region can have a substantial impact on the downstream region of South Korea. In addition to climate impacts, there are increasing...

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Main Authors: Ngoc Thi Nguyen, Tien Le Thuy Du, Hyunkyu Park, Chi-Hung Chang, Sunghwa Choi, Hyosok Chae, E. James Nelson, Faisal Hossain, Donghwan Kim, Hyongki Lee
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/15/18/4563
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author Ngoc Thi Nguyen
Tien Le Thuy Du
Hyunkyu Park
Chi-Hung Chang
Sunghwa Choi
Hyosok Chae
E. James Nelson
Faisal Hossain
Donghwan Kim
Hyongki Lee
author_facet Ngoc Thi Nguyen
Tien Le Thuy Du
Hyunkyu Park
Chi-Hung Chang
Sunghwa Choi
Hyosok Chae
E. James Nelson
Faisal Hossain
Donghwan Kim
Hyongki Lee
author_sort Ngoc Thi Nguyen
collection DOAJ
description On the Korean Peninsula, the Imjin River is a transboundary river that flows from North Korea into South Korea. Therefore, human intervention activities in the upstream region can have a substantial impact on the downstream region of South Korea. In addition to climate impacts, there are increasing concerns regarding upstream man-made activities, particularly the operation of the Hwanggang dam located in the territory of North Korea. This study explored the feasibility of using the publicly available global hydrological model and satellite remote sensing imagery for monitoring reservoir dynamics and assessing their impacts on downstream hydrology. “Naturalized” streamflow simulation was obtained from the Group on Earth Observation (GEO) Global Water Sustainability (GEOGloWS) European Centre for Medium-Range Weather Forecasts (ECMWF) Streamflow Services (GESS) model. To correct the biases of the GESS-based streamflow simulations, we employed quantile mapping using the observed streamflow from a nearby location. This method significantly reduced volume and variability biases by up to 5 times on both daily and monthly scales. Nevertheless, its effectiveness in improving temporal correlation on a daily scale in small catchments remained constrained. For the reservoir storage changes in the Hwanggang dam, we combined multiple remote sensing imagery, particularly cloud-free optical images of Landsat-8, Sentinel-2, and snow-free Sentinel-1, with the area–elevation–volume (AEV) curves derived from the Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM). In assessing its hydrological impacts, the study found that overall impacts within the downstream catchment in Pilseung bridge of South Korea were generally less significant compared to the upstream Hwanggang catchment. However, there was a higher probability of experiencing water shortages during wet months due to the upstream dam’s operations. The study highlights the potential benefits of utilizing the publicly available hydrological model and satellite remote sensing imagery to supplement decision makers with important information for the effective management of the transboundary river basin in ungauged regions.
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spelling doaj.art-561c8e755ca749fa8ff19d39795c9e0c2023-11-19T12:49:28ZengMDPI AGRemote Sensing2072-42922023-09-011518456310.3390/rs15184563Estimating the Impacts of Ungauged Reservoirs Using Publicly Available Streamflow Simulations and Satellite Remote SensingNgoc Thi Nguyen0Tien Le Thuy Du1Hyunkyu Park2Chi-Hung Chang3Sunghwa Choi4Hyosok Chae5E. James Nelson6Faisal Hossain7Donghwan Kim8Hyongki Lee9Department of Civil and Environmental Engineering, University of Houston, Houston, TX 77004, USADepartment of Civil and Environmental Engineering, University of Houston, Houston, TX 77004, USAThe Cradle of Geospatial Information, Daejeon 13487, Republic of KoreaDepartment of Civil and Environmental Engineering, University of Houston, Houston, TX 77004, USASchool of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Republic of KoreaD. Water Solutions, Daejeon 34350, Republic of KoreaDepartment of Civil & Construction Engineering, Brigham Young University, Provo, UT 84604, USADepartment of Civil & Environmental Engineering, University of Washington, Seattle, WA 98195, USA1st Engineer Brigade, Republic of Korea Army, Yangju 11411, Republic of KoreaDepartment of Civil and Environmental Engineering, University of Houston, Houston, TX 77004, USAOn the Korean Peninsula, the Imjin River is a transboundary river that flows from North Korea into South Korea. Therefore, human intervention activities in the upstream region can have a substantial impact on the downstream region of South Korea. In addition to climate impacts, there are increasing concerns regarding upstream man-made activities, particularly the operation of the Hwanggang dam located in the territory of North Korea. This study explored the feasibility of using the publicly available global hydrological model and satellite remote sensing imagery for monitoring reservoir dynamics and assessing their impacts on downstream hydrology. “Naturalized” streamflow simulation was obtained from the Group on Earth Observation (GEO) Global Water Sustainability (GEOGloWS) European Centre for Medium-Range Weather Forecasts (ECMWF) Streamflow Services (GESS) model. To correct the biases of the GESS-based streamflow simulations, we employed quantile mapping using the observed streamflow from a nearby location. This method significantly reduced volume and variability biases by up to 5 times on both daily and monthly scales. Nevertheless, its effectiveness in improving temporal correlation on a daily scale in small catchments remained constrained. For the reservoir storage changes in the Hwanggang dam, we combined multiple remote sensing imagery, particularly cloud-free optical images of Landsat-8, Sentinel-2, and snow-free Sentinel-1, with the area–elevation–volume (AEV) curves derived from the Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM). In assessing its hydrological impacts, the study found that overall impacts within the downstream catchment in Pilseung bridge of South Korea were generally less significant compared to the upstream Hwanggang catchment. However, there was a higher probability of experiencing water shortages during wet months due to the upstream dam’s operations. The study highlights the potential benefits of utilizing the publicly available hydrological model and satellite remote sensing imagery to supplement decision makers with important information for the effective management of the transboundary river basin in ungauged regions.https://www.mdpi.com/2072-4292/15/18/4563reservoir dynamicstransboundary river basinglobal hydrological modelremote sensing
spellingShingle Ngoc Thi Nguyen
Tien Le Thuy Du
Hyunkyu Park
Chi-Hung Chang
Sunghwa Choi
Hyosok Chae
E. James Nelson
Faisal Hossain
Donghwan Kim
Hyongki Lee
Estimating the Impacts of Ungauged Reservoirs Using Publicly Available Streamflow Simulations and Satellite Remote Sensing
Remote Sensing
reservoir dynamics
transboundary river basin
global hydrological model
remote sensing
title Estimating the Impacts of Ungauged Reservoirs Using Publicly Available Streamflow Simulations and Satellite Remote Sensing
title_full Estimating the Impacts of Ungauged Reservoirs Using Publicly Available Streamflow Simulations and Satellite Remote Sensing
title_fullStr Estimating the Impacts of Ungauged Reservoirs Using Publicly Available Streamflow Simulations and Satellite Remote Sensing
title_full_unstemmed Estimating the Impacts of Ungauged Reservoirs Using Publicly Available Streamflow Simulations and Satellite Remote Sensing
title_short Estimating the Impacts of Ungauged Reservoirs Using Publicly Available Streamflow Simulations and Satellite Remote Sensing
title_sort estimating the impacts of ungauged reservoirs using publicly available streamflow simulations and satellite remote sensing
topic reservoir dynamics
transboundary river basin
global hydrological model
remote sensing
url https://www.mdpi.com/2072-4292/15/18/4563
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