Enhancing Hydrological Resilience: A Robust Approach for Time of Concentration Estimation in Changing Environments

Abstract

Accurate estimation of the time of concentration is imperative for effective hydrological analyses, particularly in regions grappling with water scarcity and the challenges of climate change. This study investigates empirical relationships to determine the time of concentration, employing a watershed subdivision into three distinctive sub-basins. Individual time of concentration values were calculated, considering unique physiographic attributes such as slope, length of the main river, and the slope of the main river. The Giandotti method emerged as the most reliable among the tested empirical approaches, demonstrating superior performance, especially in challenging environmental conditions. The findings underscore the critical importance of precise time of concentration estimates for addressing water-related challenges in environments susceptible to climate change. Accurate hydrological modeling becomes crucial for effective water management and sustainable development, particularly in regions facing environmental uncertainties. The Giandotti method's superior performance holds promise for improved hydrological analyses, providing valuable insights for researchers and practitioners working in climatically vulnerable areas.