Hydrological drought assessment through streamflow forecasting using wavelet enabled artificial neural networks
Crossref DOI link: https://doi.org/10.1007/s10668-020-00737-7
Published Online: 2020-05-05
Published Print: 2021-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Drisya, J. http://orcid.org/0000-0002-1892-8101
Kumar, D. Sathish
Roshni, Thendiyath
Funding for this research was provided by:
Science and Engineering Research Board (IF131103)
Text and Data Mining valid from 2020-05-05
Version of Record valid from 2020-05-05
Article History
Received: 26 June 2019
Accepted: 15 April 2020
First Online: 5 May 2020