Water level prediction using soft computing techniques: A case study in the Malwathu Oya, Sri Lanka
Hydrologic models to simulate river flows are computationally costly. In addition to the precipitation and other meteorological time series, catchment characteristics, including soil data, land use, land cover, and roughness, are essential in most hydrologic models. The unavailability of these data...
Збережено в:
| Автори: | , , , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Public Library of Science (PLoS)
2023-01-01
|
| Серія: | PLoS ONE |
| Онлайн доступ: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10132539/?tool=EBI |
| Теги: |
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|
