Assessing landslide susceptibility in Chefchaouen, Morocco: An application of the landslide numerical risk factor method for sustainable urban development and disaster risk management

Abstract

This research investigates landslide susceptibility in Chefchaouen, Morocco, using the Landslide Numerical Risk Factor (LNRF) method to inform sustainable urban development and disaster risk management. The study incorporates local factors such as geological characteristics, climatic conditions, land use patterns, and gravitational influences within the LNRF framework. The results demonstrate that slope, altitude, geological complexity, and precipitation are key determinants of landslide susceptibility, with complex geology and high rainfall significantly increasing risk. The research highlights the critical need for forest conservation, reforestation, and responsible land management to mitigate the heightened landslide vulnerability caused by human activities such as deforestation, overexploitation, and urban expansion. The study provides valuable insights for enhancing regional planning and natural resource management to reduce landslide risks effectively.