Impact of Indo-Pacific Climate Variability on High Streamflow Events in Mahanadi River Basin, India
Netrananda Sahu(University of Delhi), Swadhin K. Behera(Japan Agency for Marine-Earth Science and Technology), Sridhara Nayak(Kyoto University), Arpita Panda(University of Delhi), Ram Avtar(Hokkaido University), Atul Saini(University of Delhi), Takahiro Sayama(Kyoto University), Manoranjan Mishra(Fakir Mohan University), Weili Duan(Chinese Academy of Sciences), Limonlisa Sahu(Fakir Mohan University)
Cited by 35
Related Papers
Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance
|Earth-Science Reviews|2020|1.1k
How old is streamwater? Open questions in catchment transit time conceptualization, modelling and analysis
|Hydrological Processes|2010|355
Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning
|The Science of The Total Environment|2020|295
A bibliometric analysis of sustainable development goals (SDGs): a review of progress, challenges, and opportunities
|Environment Development and Sustainability|2023|279
An overview of research on natural resources and indigenous communities: a bibliometric analysis based on Scopus database (1979–2020)
|Environmental Monitoring and Assessment|2021|101