Hydrological drought assessment through streamflow forecasting using wavelet enabled artificial neural networks
Bibliographic Data
| ID | 15106529 |
|---|---|
| Authors | J Drisya (0000-0002-1892-8101, National Institute of Technology Calicut, corresponding author), D Sathish Kumar (0000-0002-1932-4318, National Institute of Technology Calicut, corresponding author), Thendiyath Roshni (0000-0002-0693-5865, National Institute of Technology Patna, corresponding author) |
| Year | 2021 |
| Volume | 23 |
| Issue | 3 |
| Pages | 3653-3672 |
| Publication date | 2021-03-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment Development and Sustainability (JOURNAL) |
| Journal identifiers | ISSN: 1387-585X • E-ISSN: 1573-2975 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s10668-020-00737-7 |
| OpenAlex | W3023757780 |
| Language | EN |
| Citations received | 3 |
| References cited | 33 |
Artificial neural network · Cartography · Feedforward neural network · Flood forecasting · Geography · Meteorology · Streamflow · Transfer function · Wavelet · Computer Science · Engineering · Environmental Science · Hydrological Forecasting Using AI · Hydrology and Drought Analysis · Hydrology and Watershed Management Studies · Artificial Intelligence · Geology
Multivariate modeling of agricultural river water abstraction via novel integrated-wavelet methods in various climatic conditions
Assessment of temporal homogeneity of long-term rainfall time-series datasets by applying classical homogeneity tests
Evaluation of the drought management measures in a semi-arid agricultural watershed
| Citations per year | 0.75 |
|---|---|
| Citation span | 2022 - 2023 (2) |
| Highly cited | No |