Výsledky vyhledávání - "CHAITANYA, B."

Akademický článek

Impact of land use/land cover changes on evapotranspiration and model accuracy using Google Earth engine and classification and regression tree modeling

Autor: Chaitanya B. Pande, Pranaya Diwate, Israel R. Orimoloye, Lariyah Mohd Sidek, Arun Pratap Mishra, Kanak N. Moharir, Subodh Chandra Pal, Fahad Alshehri, Abebe Debele Tolche

Publikováno v: Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)

This research uses a Classification and Regression Tree (CART) model with Google Earth Engine (GEE) to assess the winter season’s land cover and change detection mapping impact on the evapotranspiration (crop water requirement) parameters. Winter s

Externí odkaz: https://doaj.org/article/e1e62b2aac23407e9c3f614ea14006bf

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Akademický článek

Corrigendum to 'Short lead time standard precipitation index forecasting: Extreme learning machine and variational mode decomposition' [J. Hydrol. Reg. Stud. 54 (2024) 101861]

Autor: Sabrina Ladouali, Okan Mert Katipoğlu, Mehdi Bahrami, Veysi Kartal, Bachir Sakaa, Nehal Elshaboury, Mehdi Keblouti, Hicham Chaffai, Ali Salem, Chaitanya B. Pande, Ahmed Elbeltagi

Publikováno v: Journal of Hydrology: Regional Studies, Vol 54, Iss , Pp 101880- (2024)

Externí odkaz: https://doaj.org/article/f3d6777c13104cc29769338024f7bef8

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Akademický článek

Short lead time standard precipitation index forecasting: Extreme learning machine and variational mode decomposition

Autor: Sabrina Ladouali, Okan Mert Katipoğlu, Mehdi Bahrami, Veysi Kartal, Bachir Sakaa, Nehal Elshaboury, Mehdi Keblouti, Hicham Chaffai, Salem Ali, Chaitanya B. Pande, Ahmed Elbeltagi

Publikováno v: Journal of Hydrology: Regional Studies, Vol 54, Iss , Pp 101861- (2024)

Study region: Six regions in Algeria have been selected as follows: Ain Elhadjel, Msaad, Boussaada, Elkantara, M’sila and M’doukel.Study focus: This study focused on creating a novel hybrid VMD-ELM approach, established by combining the Variation

Externí odkaz: https://doaj.org/article/c4367aaefeb24021b00ede74e5bbca8e

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Akademický článek

Flood mapping based on novel ensemble modeling involving the deep learning, Harris Hawk optimization algorithm and stacking based machine learning

Autor: Romulus Costache, Subodh Chandra Pal, Chaitanya B. Pande, Abu Reza Md. Towfiqul Islam, Fahad Alshehri, Hazem Ghassan Abdo

Publikováno v: Applied Water Science, Vol 14, Iss 4, Pp 1-23 (2024)

Abstract Among the various natural disasters that take place around the world, flood is considered to be the most extensive. There have been several floods in Buzău river basin, and as a result of this, the area has been chosen as the study area. Fo

Externí odkaz: https://doaj.org/article/3b069cea962d4834b6a53feeeddafd80

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Akademický článek

Assessment of current and future trends in water resources in the Gambia River Basin in a context of climate change

Autor: Serigne Mory Khouma Séne, Cheikh Faye, Chaitanya B. Pande

Publikováno v: Environmental Sciences Europe, Vol 36, Iss 1, Pp 1-21 (2024)

Abstract Accurate assessment of water resources at the watershed level is crucial for effective integrated watershed management. While semi-distributed/distributed models require complex structures and large amounts of input data, conceptual models h

Externí odkaz: https://doaj.org/article/0805b4fe7f934c3395e50037e0d85f5b

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