Comparison of global and local optimization methods for the calibration and sensitivity analysis of a conceptual hydrological model

 

Đã lưu trong:
Chi tiết về thư mục
Nhiều tác giả: Mendez-Morales, Maikel, Calvo-Valverde, Luis Alexander
Định dạng: artículo original
Trạng thái:Versión publicada
Ngày xuất bản:2019
Miêu tả:Eight global and eight local optimization methods were used to calibrate the HBV-TEC hydrological model on the upper Toro river catchment in Costa Rica for four different calibration periods (4, 8, 12 and 16 years). To evaluate their sensitivity to getting trapped in local minima, each method was tested against 50 sets of randomly-generated initial model parameters. All methods were then evaluated in terms of optimization performance and computational cost. Results show a comparable performance among various global and local methods as they highly correlate to one another. Nonetheless, local methods are in general more sensitive to getting trapped in local minima, irrespective of the duration of the calibration period. Performance of the various methods seems to be independent to the total number of model calls, which may vary several orders of magnitude depending on the selected optimization method. The selection of an optimization method is largely influenced by its efficiency and the available computational resources regardless of global or local class.
Quốc gia:Portal de Revistas TEC
Tổ chức giáo dục:Instituto Tecnológico de Costa Rica
Repositorio:Portal de Revistas TEC
Ngôn ngữ:Inglés
Español
OAI Identifier:oai:ojs.pkp.sfu.ca:article/4477
Truy cập trực tuyến:https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/4477
Từ khóa:Local optimization
Global optimization
HBV
Model calibration
PCA
Calibración
optimización local
optimización global