Regionalization of hydrological model parameters using gradient boosting machine

The regionalization of hydrological model parameters is key to hydrological predictions in ungauged basins. The commonly used multiple linear regression (MLR) method may not be applicable in complex and nonlinear relationships between model parameters and watershed properties. Moreover, most regiona...

Full description

Saved in:

Bibliographic Details
Published in:	Hydrology and earth system sciences Vol. 26; no. 2; pp. 505 - 524
Main Authors:	Song, Zhihong, Xia, Jun, Wang, Gangsheng, She, Dunxian, Hu, Chen, Hong, Si
Format:	Journal Article
Language:	English
Published:	Katlenburg-Lindau Copernicus GmbH 31.01.2022 Copernicus Publications
Subjects:	Analysis Arid regions Arid zones Calibration Climatic zones Datasets Elevation Evapotranspiration Evapotranspiration processes Heterogeneity Hydrologic models Hydrology Learning algorithms Machine learning Mathematical models Modelling Moisture content Neural networks Parameters Performance evaluation Properties Regression analysis Runoff Saturated soils Soil Soil moisture Soil moisture content Stream discharge Stream flow Variables Water content Watersheds China
ISSN:	1607-7938, 1027-5606, 1607-7938
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!