Title: | Developing a deep learning model for the simulation of micro-pollutants in a watershed |
Authors: | Yun, D., A. Abbas, J. Jeon, M. Ligaray, S.-S. Baek and K.H. Cho |
Year: | 2021 |
Journal: | Journal of Cleaner Production |
Volume (Issue): | 300 |
Pages: | |
Article ID: | 126858 |
DOI: | 10.1016/j.jclepro.2021.126858 |
URL (non-DOI journals): | |
Model: | SWAT |
Broad Application Category: | pollutant only |
Primary Application Category: | model comparison |
Secondary Application Category: | pesticide fate and transport |
Watershed Description: | 3,370 km^2 Yeongsan River, located in southwest South Korea. |
Calibration Summary: | |
Validation Summary: | |
General Comments: | |
Language: | English |
Keywords: | Micro-pollutant; Deep learning; SWAT; Long short-term memory |