TY - GEN
T1 - Assessment, Evaluation, and Code Development of the Particle Swarm Optimisation (PSO) Method for an Automatic Calibration of the TOPMODEL
AU - Qquenta, Jonathan G.
AU - Astorayme, Miguel A.
AU - Gutiérrez, Ronald R.
AU - Lavado, Waldo S.
N1 - Publisher Copyright:
© ASCE.
PY - 2022
Y1 - 2022
N2 - TOPMODEL is a widely used, physically based distributed rainfall-runoff model developed in the 1970s that has been used to model multiple watersheds from the Latin American sphere. However, to the best of our knowledge, it has not been applied in Peruvian watersheds. This contribution reports (1) the adequation of the particle swarm optimisation (PSO) for automatic calibration of TOPMODEL, and (2) the application of TOPMODEL to the Chillón and Cañete watersheds, Perú. The following metrics were obtained in the validation stage: Nash-Sutcliffe = 0.85 and Kling-Gupta = 0.87 (Cañete); and Nash-Sutcliffe = 0.79 and Kling-Gupta = 0.84 (Chillón). Under the light of these results, we believe that (1) PSO represents a reliable calibration method for TOPMODEL, which currently relies in the generalised likelihood uncertainty estimation (GLUE) methodology to that end, and (2) TOPMODEL successfully modelled the hydrologic processes at that study catchments at both daily and monthly basis.
AB - TOPMODEL is a widely used, physically based distributed rainfall-runoff model developed in the 1970s that has been used to model multiple watersheds from the Latin American sphere. However, to the best of our knowledge, it has not been applied in Peruvian watersheds. This contribution reports (1) the adequation of the particle swarm optimisation (PSO) for automatic calibration of TOPMODEL, and (2) the application of TOPMODEL to the Chillón and Cañete watersheds, Perú. The following metrics were obtained in the validation stage: Nash-Sutcliffe = 0.85 and Kling-Gupta = 0.87 (Cañete); and Nash-Sutcliffe = 0.79 and Kling-Gupta = 0.84 (Chillón). Under the light of these results, we believe that (1) PSO represents a reliable calibration method for TOPMODEL, which currently relies in the generalised likelihood uncertainty estimation (GLUE) methodology to that end, and (2) TOPMODEL successfully modelled the hydrologic processes at that study catchments at both daily and monthly basis.
KW - Cañete
KW - Chillón
KW - Hydrologic model
KW - PSO
KW - Rstudio
UR - https://www.scopus.com/pages/publications/85133171760
U2 - 10.1061/9780784484258.114
DO - 10.1061/9780784484258.114
M3 - Conference contribution
AN - SCOPUS:85133171760
T3 - World Environmental and Water Resources Congress 2022: Adaptive Planning and Design in an Age of Risk and Uncertainty - Selected Papers from the World Environmental and Water Resources Congress 2022
SP - 1232
EP - 1241
BT - World Environmental and Water Resources Congress 2022
A2 - Pierson, John
A2 - Grubert, Emily
PB - American Society of Civil Engineers (ASCE)
T2 - World Environmental and Water Resources Congress 2022: Adaptive Planning and Design in an Age of Risk and Uncertainty
Y2 - 5 June 2022 through 8 June 2022
ER -