| Title: | Evaluation of neuro-fuzzy and Bayesian techniques in estimating suspended sediment loads |
| Authors: | Hamaamin, Y.A., A.P. Nejadhashemi, Z. Zhang, S. Giri, U. Adhikari and M.R. Herman |
| Year: | 2019 |
| Journal: | Sustainable Water Resources Management |
| Volume (Issue): | 5(2) |
| Pages: | 639-654 |
| Article ID: | |
| DOI: | 10.1007/s40899-018-0225-9 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic and pollutant |
| Primary Application Category: | sediment loss and transport |
| Secondary Application Category: | hydrologic assessment |
| Watershed Description: | 16,120 km^2 Saginaw River, which drains part of the east central region of the Lower Peninsula into Lake Huron in Michigan, U.S. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | Suspended sediment; SWAT; ANFIS; Bayesian; Saginaw river watershed |