PRACA ORYGINALNA
Assessment of Regional Empirical IDF and DDF Models in Southern Iran
Więcej
Ukryj
1
Department of civil engineering, Es.C., Islamic Azad University, Estahban, Iran
2
Department of Agriculture and Forest Sciences (DAFNE), Tuscia University, 01100 Viterbo, Italy
Data nadesłania: 19-02-2026
Data ostatniej rewizji: 26-04-2026
Data akceptacji: 13-05-2026
Data publikacji online: 17-09-2026
Autor do korespondencji
Andrea Petroselli
Department of Agriculture and Forest Sciences (DAFNE), Tuscia University, 01100 Viterbo, Italy
INFORMACJE KLUCZOWE
- IMD evaluated against regional models in southern Iran
- Default n underestimates short storms; calibration improves results
- Calibration critical for <6 h rainfall; default acceptable for longer durations
SŁOWA KLUCZOWE
DZIEDZINY
STRESZCZENIE
Aim of the study:
This study aimed to evaluate and compare regional empirical IDF/DDF methods, with particular focus on the Revised IMD (RIMD) approach, for estimating design rainfall in ungauged catchments in Iran.
Material and methods:
Daily rainfall data from Baghmalek and Ahvaz were analyzed to determine the best-fit statistical distributions, develop DDF curves using four empirical methods, and assess performance using RMSE and Nash–Sutcliffe Efficiency, along with a sensitivity analysis of the IMD parameter n.
Results and conclusions:
Results showed that the default IMD value (n = 0.333) was inaccurate for short durations, while calibrated values (n = 0.39 and 0.28) significantly improved agreement with observations and produced reliable runoff estimates.