Accurate estimation of time of concentration (TC) or lag time (TL) is essential for understanding watershed hydrological response and for flood forecasting, infrastructure design, and watershed management. However, the wide variety of TC and TL estimation methods, often developed for specific regional conditions, limits their transferability across watersheds with different sizes and climatic regimes. This study reviews 100 published articles on empirical TC/TL methods and evaluates their performance across climate zones ranging from hyper-arid to humid and across watershed scales from micro to large. Methods that incorporate flow-resistance factors, such as curve number and Manning’s coefficient, perform best in humid regions, whereas slope- and length-based channel methods are more suitable in arid environments. TC estimates show little variation in micro-watersheds but diverge markedly in larger basins due to complex drainage networks and spatial rainfall variability. Ranking analysis identifies the SCS Velocity (1986), NRCS Lag (1972), and Pasini (1914) equations overall.

Global review of hydrological response time: analysis and synthesis across diverse climates / D. Sultan, A.T.. - In: HYDROLOGICAL SCIENCES JOURNAL. - ISSN 0262-6667. - (2026 Aug). [Epub ahead of print] [10.1080/02626667.2026.2712421]

Global review of hydrological response time: analysis and synthesis across diverse climates

A. Cislaghi
Secondo
;
2026

Abstract

Accurate estimation of time of concentration (TC) or lag time (TL) is essential for understanding watershed hydrological response and for flood forecasting, infrastructure design, and watershed management. However, the wide variety of TC and TL estimation methods, often developed for specific regional conditions, limits their transferability across watersheds with different sizes and climatic regimes. This study reviews 100 published articles on empirical TC/TL methods and evaluates their performance across climate zones ranging from hyper-arid to humid and across watershed scales from micro to large. Methods that incorporate flow-resistance factors, such as curve number and Manning’s coefficient, perform best in humid regions, whereas slope- and length-based channel methods are more suitable in arid environments. TC estimates show little variation in micro-watersheds but diverge markedly in larger basins due to complex drainage networks and spatial rainfall variability. Ranking analysis identifies the SCS Velocity (1986), NRCS Lag (1972), and Pasini (1914) equations overall.
time of concentration; lag time; hydrological modeling; climate regime; watershed; drought-prone
Settore AGRI-04/A - Idraulica agraria e sistemazioni idraulico-forestali
ago-2026
30-lug-2026
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1264935
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