Abstract
The Grand Ethiopian Renaissance Dam (GERD), formerly known as the Millennium Dam, has been filling at a fast rate. This project has created issues for the Nile Basin countries of Egypt, Sudan, and Ethiopia. The filling of GERD has an impact on the Nile Basin hydrology and specifically the water storages (lakes/reservoirs) and flow downstream. In this study, through the analysis of multi-source satellite imagery, we study the filling of the GERD reservoir. The time-series generated using Sentinel-1 SAR imagery displays the number of classified water pixels in the dam from early June 2017 to September 2020, indicating a contrasting trend in August and September 2020 for the upstream/downstream water bodies: upstream of the dam rises steeply, while downstream decreases. Our time-series analysis also shows the average monthly precipitation (derived using IMERG) in the Blue Nile Basin in Ethiopia has received an abnormally high amount of rainfall as well as a high amount of runoff (analyzed using GLDAS output). Simultaneously, the study also demonstrates the drying trend downstream at Lake Nasser in Southern Egypt before December 2020. From our results, we estimate that the volume of water at GERD has already increased by 3.584 billion cubic meters, which accounts for about 5.3% of its planned capacity (67.37 billion cubic meters) from 9 July–30 November 2020. Finally, we observed an increasing trend in GRACE anomalies for GERD, whereas, for the Lake Nasser, we observed a decreasing trend. In addition, our study discusses potential interactions between GERD and the rainfall and resulting flood in Sudan. Our study suggests that attention should be drawn to the connection between the GERD filling and potential drought in the downstream countries during the upcoming dry spells in the Blue Nile River Basin. This study provides an open-source technique using Google Earth Engine (GEE) to monitor the changes in water level during the filling of the GERD reservoir. GEE proves to be a powerful as well as an efficient way of analyzing computationally intensive SAR images.
Highlights
IntroductionThe Grand Ethiopian Renaissance Dam (GERD) is located on the Blue Nile River in Ethiopia, close to the border with Sudan
This article is an open access articleThe Grand Ethiopian Renaissance Dam (GERD) is located on the Blue Nile River in Ethiopia, close to the border with Sudan
The motivation for this study is to provide up-to-date and accurate monitoring of GERD filling process using satellite imagery using data from Sentinel-1 and Sentinel-2, and water storage using the Gravity Recovery and Climate Experiment (GRACE), precipitation using the Global Precipitation Measurement Mission (GPM) and topography from the Shuttle Topography Measurement Mission (SRTM)
Summary
The Grand Ethiopian Renaissance Dam (GERD) is located on the Blue Nile River in Ethiopia, close to the border with Sudan. It was a $4 billion initiative, and with a projected capacity of 6000 megawatts, it is expected to become Africa’s biggest power exporter. The. Blue Nile impoundment behind GERD will encompass a spatial extent of about 1763.3 km and hold around 67.37 billion cubic meters of water with maximum seasonal load changes distributed under the terms and conditions of the Creative Commons. 2021, 13, 711 of around 27.93 (41% of total) to around 36.46 billion cubic meters (54% of total) during projected operational scenarios [1]. A study by Elsayed et al 2020 [2] suggests that the GERD filling and operation would affect the WFE (water, food, and energy) nexus in Egypt, with the impact likely to be significant if the filling process occurred during a dry period.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.