Research on Parameter Regionalization of Distributed Hydrological Model Based on Machine Learning

Improved flood forecasting using geomorphic unit hydrograph based on spatially distributed velocity field

(2021) Wen-chuan Wang et al.   JOURNAL OF HYDROINFORMATICS

Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR)

(2020) Mahdi Panahi et al.   JOURNAL OF HYDROLOGY

Modeling flash floods in ungauged mountain catchments of China: A decision tree learning approach for parameter regionalization

(2017) S. Ragettli et al.   JOURNAL OF HYDROLOGY

Rainfall-runoff modeling using least squares support vector machines

(2012) Umut Okkan et al.   ENVIRONMETRICS

Calibration of Xinanjiang model parameters using hybrid genetic algorithm based fuzzy optimal model

(2012) Wen-Chuan Wang et al.   JOURNAL OF HYDROINFORMATICS

Predicting runoff in ungauged catchments by using Xinanjiang model with MODIS leaf area index

(2009) Hongxia Li et al.   JOURNAL OF HYDROLOGY