Dependence of rainfall-runoff model transferability on climate conditions in Iran
Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid
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Yn: Hydrological Sciences Journal, Cyfrol 67, Rhif 4, 12.03.2022, t. 564-587.
Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid
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TY - JOUR
T1 - Dependence of rainfall-runoff model transferability on climate conditions in Iran
AU - Jahanshahi, Afshin
AU - Ghazanchaei, Zohreh
AU - Navari, Mahdi
AU - Goharian, Erfan
AU - Patil, Sopan
AU - Zhang, Yongqiang
PY - 2022/3/12
Y1 - 2022/3/12
N2 - This study investigates the potential differences between spatial and temporal transferability of the HBV rainfall-runoff model parameters in 576 Iranian catchments. Our goal is to determine how parameter transferability is affected by (a) parameter transfer modes (temporal or spatial) and (b) different climate conditions. In the temporal mode, we decide in each catchment based on a benchmark baseline that accounts for the seasonality of flows. In the spatial mode, we examine physical similarity and spatial proximity methods. The main conclusions are that: (1) the HBV model struggles to beat the benchmark in lowland catchments, (2) under stationary conditions, rainfall-runoff models have greater temporal transferability than spatial transferability, (3) under non-stationary climate conditions, the number of catchments that perform best in terms of temporal transferability is smaller than in stationary climate conditions, and (4) the rainfall-runoff model has better transferability from drier to wetter conditions.
AB - This study investigates the potential differences between spatial and temporal transferability of the HBV rainfall-runoff model parameters in 576 Iranian catchments. Our goal is to determine how parameter transferability is affected by (a) parameter transfer modes (temporal or spatial) and (b) different climate conditions. In the temporal mode, we decide in each catchment based on a benchmark baseline that accounts for the seasonality of flows. In the spatial mode, we examine physical similarity and spatial proximity methods. The main conclusions are that: (1) the HBV model struggles to beat the benchmark in lowland catchments, (2) under stationary conditions, rainfall-runoff models have greater temporal transferability than spatial transferability, (3) under non-stationary climate conditions, the number of catchments that perform best in terms of temporal transferability is smaller than in stationary climate conditions, and (4) the rainfall-runoff model has better transferability from drier to wetter conditions.
KW - benchmark baseline
KW - rainfall-runoff model
KW - spatial and temporal transferability
U2 - 10.1080/02626667.2022.2030867
DO - 10.1080/02626667.2022.2030867
M3 - Article
VL - 67
SP - 564
EP - 587
JO - Hydrological Sciences Journal
JF - Hydrological Sciences Journal
SN - 2150-335
IS - 4
ER -