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

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 R-2 = 0.85) and validation (NSE = 0.70, PBIAS = -29.2 and R-2 = 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.

Automated summary

Land use change is a critical factor affecting hydrological processes, and understanding its long-term dynamics is essential for sustainable water resources management. This study aimed to quantify and analyze land use change and its impacts on hydrology in the Sejnane watershed in northern Tunisia from 1985 to 2021. Remote sensing and a SWAT model were used, and land use maps were developed for different years. The results showed significant changes in land use, which strongly influenced water balance components, with an increase in runoff and a decrease in percolation. The construction of a dam, expansion of irrigated areas, and growth of olive tree plantations were identified as major contributors to the hydrological changes.