Wetland water balance estimation in an arid region using remote sensing technology and hydrological modelling

Understanding the hydrological processes associated with wetland dynamics is fundamental to studying climate change impacts and the global water cycle. This study simulates the variation of water balance in the Ghorra Playa, Eastern Tunisia, over the period extending from September 2017 to August 20...

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Bibliographic Details
Published in:Hydrological sciences journal 2024-05, Vol.69 (7), p.905-922
Main Authors: Trabelsi, Rouaida, Abida, Habib
Format: Article
Language:English
Subjects:
Arid regions
Arid zones
Climate change
Climate studies
Early warning systems
Environmental impact
Famine
Global precipitation
Groundwater
Groundwater flow
Hydrologic analysis
Hydrologic cycle
Hydrologic models
Hydrologic processes
Hydrological cycle
Hydrology
Migratory birds
Migratory species
Modelling
Playas
Precipitation
Precipitation measurements
Rainfall
Remote sensing
Sentinel-2B images
Tunisia
Water balance
Water budget
Water resources
Wetlands
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Summary:Understanding the hydrological processes associated with wetland dynamics is fundamental to studying climate change impacts and the global water cycle. This study simulates the variation of water balance in the Ghorra Playa, Eastern Tunisia, over the period extending from September 2017 to August 2020. The playa is a seasonal habitat for a number of migratory bird species and its watershed is of vital agricultural importance. Water balance estimations were performed using two different approaches: remote sensing-based analyses (Sentinel-2B, Global Precipitation Measurements (GPM) and Famine Early Warning System Network (FEWS-NET)) and modelling founded on field data. The playa presents an average annual water balance of 1.1 million cubic metres. Water inflows come from direct rainfall, mostly in the fall and spring seasons. Groundwater flow into the playa significantly influenced the pattern of water flux (81%). The annual, seasonal and monthly water budget simulations show reasonably good agreement between the remote sensing-based analysis and the hydrological modelling exercise.
ISSN:0262-6667
2150-3435
DOI:10.1080/02626667.2024.2343353