Modeling Hydrological Responses to Land Use Change in Sejnane Watershed, Northern Tunisia

Author:

Mosbahi Manel12,Kassouk Zeineb3ORCID,Benabdallah Sihem2ORCID,Aouissi Jalel3,Arbi Rihab13,Mrad Mouna2,Blake Reginald4,Norouzi Hamidreza4ORCID,Béjaoui Béchir5ORCID

Affiliation:

1. LR03AGR02 Research Laboratory of Agricultural Production Systems and Sustainable Development, Higher School of Agriculture, University of Carthage, Zaghouan 1121, Tunisia

2. Centre de Recherches et des Technologies des eaux, Route Touristique de Soliman, P.O. Box 273-8020, Soliman, Tunisia

3. LR17AGR01 Integrated Management of Natural Resources: Remote Sensing, Spatial Analysis and Modeling (GREEN-TEAM), National Agronomic Institute of Tunisia (INAT), University of Carthage, 43, Avenue Charles Nicolle, Tunis 1082, Tunisia

4. New York City College of Technology, The City University of New York, 300 Jay St, Brooklyn, NY 11201, USA

5. Laboratoire Milieu Marin (LMM), Institut National des Sciences et Technologies de la Mer (INSTM), 28 Rue 2 Mars 1934 Carthage Salammbô, Tunis 2025, Tunisia

Abstract

Land use change is a crucial driving factor in hydrological processes. Understanding its long-term dynamics is essential for sustainable water resources management. This study sought to quantify and analyze land use change between 1985 and 2021 and its impacts on the hydrology of the Sejnane watershed, northern Tunisia. Remote sensing and a SWAT model using the SUFI-2 algorithm to identify the most sensitive parameters were used to achieve this objective. Land use maps were developed for 1985, 2001 and 2021. For the last 37 years, the watershed experienced a slight decrease in forest, scrubland and forage crops, a significant reduction in grassland, and a conspicuous expansion of olive trees and vegetable crops. Given the scarcity of observed discharge data, a SWAT model was calibrated for the period 1997–2010 and validated for 2011–2019. Model performance was good for both calibration (NSE = 0.78, PBIAS = −6.6 and R2 = 0.85) and validation (NSE = 0.70, PBIAS = −29.2 and R2 = 0.81). Changes in land use strongly affected the water balance components. Surface runoff and percolation were the most influenced, showing an increase in runoff and a decrease in percolation by 15.5% and 13.8%, respectively. The results revealed that the construction of the Sejnane dam, the extension of irrigated perimeters and olive tree plantations were the major contributors to changes in hydrology.

Funder

United States Agency for International Development

National Academies of Sciences, Engineering and Medicine

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

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