Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Beeram Satya Narayana Reddy"'
Publikováno v:
Water Supply, Vol 22, Iss 7, Pp 6181-6194 (2022)
Hydrological simulations perform a vital role in river discharge forecasts, which is very essential in water resources engineering. The present study has been carried out using a semi-distributed model developed using HEC-HMS, an artificial neural ne
Externí odkaz:
https://doaj.org/article/656a1b57cd9f45089562d950c2758a06
Autor:
Beeram, Satya Narayana Reddy1 (AUTHOR) satya2243@gmail.com, P. V, Shahanas1 (AUTHOR), S. K, Pramada1 (AUTHOR), Thendiyath, Roshni2 (AUTHOR)
Publikováno v:
Environment, Development & Sustainability. Jun2024, Vol. 26 Issue 6, p14763-14786. 24p.
Akademický článek
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Publikováno v:
Acta Geophysica. 70:847-857
Publikováno v:
Environmental Monitoring and Assessment. 194
For hydrological analysis, it is essential to have continuous and long-term precipitation data. However, the precipitation data from rain gauge stations are often insufficient and not continuous. At present, ground-based gridded data and satellite-ba
Autor:
Alireza Abdoallahi, Zaid Hazim Al-Saffar, Selvaraj Ambika, Danial Jahed Armagahni, Dipanjan Basu, Ramesh Murlidhar Bhatawdekar, Debarghya Chakraborty, Subhojit Chattaraj, Chin Siew Choo, Beste Cubukcuoglu, Deepthi Mary Dilip, Sufyan Ghani, Maryam Gharekhani, Mohammad Ali Ghorbani, Anasua GuhaRay, Koushik Halder, Dayang Zulaika Abang Hasbollah, Amal I. Hassan, Norhidayah Abdul Hassan, Dato Chengong Hock Soon, Samed Inyurt, Ramadhansyah Putra Jaya, Primož Jelušič, Rajesh Jha, Aleena Joy, Mohammad Rezaul Karim, Parthiban Kathirvel, Umair Khan, Rahman Khatibi, Anish Kumar, B.R.V. Susheel Kumar, Sunita Kumari, Mina Lee, Víctor Leiva, Carolina Marchant, Khairil Azman Masri, Mohd Firdaus Md Dan, Edy Tonnizam Mohamad, Sri Wiwoho Mudjanarko, Ata Allah Nadiri, Beeram Satya Narayana Reddy, Pranjal Pathak, S.K. Pramada, M.C. Raghucharan, Afia Rahman, Avtar K. Raina, Thendiyath Roshni, Ali Asghar Rostami, Sina Sadeghfam, Hosam M. Saleh, Helton Saulo, Zahra Sedghi, Muhammad Ikhsan Setiawan, Elham Shabani, Trilok Nath Singh, Sanjeev Sinha, Surendra Nadh Somala, Byomkesh Talukder, Aadil Towheed, Anamika Venu, J. Vijayalaxmi, Roberto Vila, Mohd Haziman Wan Ibrahim, Haryati Yaacob, Muhammad Faiz Bin Zainuddin, Bojan Žlender
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b758ee98d6c2b65ac6875c74d40ab1f1
https://doi.org/10.1016/b978-0-323-85698-0.01002-9
https://doi.org/10.1016/b978-0-323-85698-0.01002-9
Publikováno v:
Journal of Earth System Science. 130
Accurate surface runoff prediction is vital for water resources engineers for various applications. Advances in the artificial intelligence techniques can act as robust tools for modelling hydrological processes. The present study focuses on testing
Publikováno v:
Water Resources Management and Reservoir Operation ISBN: 9783030793999
India is an immense nation with high spatial and temporal inconsistency of precipitation. The end target is to tap the available water assets and to use the water as per the necessity. Numerous dams have already constructed to tap the available water
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::731c32730c7e67e44d7f2a2c3fdbac1c
https://doi.org/10.1007/978-3-030-79400-2_4
https://doi.org/10.1007/978-3-030-79400-2_4