Title: | Unsupervised learning approach in defining the similarity of catchments: Hydrological response unit based k-means clustering, a demonstration on Western Black Sea Region of Turkey |
Authors: | AytaƧ, E. |
Year: | 2020 |
Journal: | International Soil and Water Conservation Research |
Volume (Issue): | 8 |
Pages: | 321-331 |
Article ID: | |
DOI: | 10.1016/j.iswcr.2020.05.002 |
URL (non-DOI journals): | |
Model: | none |
Broad Application Category: | data or component development |
Primary Application Category: | regionalization of input parameters |
Secondary Application Category: | data and/or component contribution to SWAT or SWAT+ |
Watershed Description: | 33 drainage areas, located in the Western Black Sea Region of Turkey. |
Calibration Summary: | |
Validation Summary: | |
General Comments: | |
Language: | English |
Keywords: | HRU, K-means clustering, Multidimensional scaling, Orange, Silhouette score, QSWAT+ |