Výsledky vyhledávání - "Sandeep Samantaray"

Akademický článek

Suspended sediment load prediction using sparrow search algorithm-based support vector machine model

Autor: Sandeep Samantaray, Abinash Sahoo, Deba Prakash Satapathy, Atheer Y. Oudah, Zaher Mundher Yaseen

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-32 (2024)

Abstract Prediction of suspended sediment load (SSL) in streams is significant in hydrological modeling and water resources engineering. Development of a consistent and accurate sediment prediction model is highly necessary due to its difficulty and

Externí odkaz: https://doaj.org/article/d41821941b59484e8377c7e620b1604c

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Akademický článek

Daily flow discharge prediction using integrated methodology based on LSTM models: Case study in Brahmani-Baitarani basin

Autor: Abinash Sahoo, Swayamshu Satyapragnya Parida, Sandeep Samantaray, Deba Prakash Satapathy

Publikováno v: HydroResearch, Vol 7, Iss , Pp 272-284 (2024)

For flood control, hydropower operation, and agricultural planning, among other applications, flow discharge prediction is a critical first step toward the strong and dependable planning and management of water resources. Floods are destructive natur

Externí odkaz: https://doaj.org/article/bcb93e208f474fa3bacdaf304419fd5d

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Akademický článek

Prediction of S12-MKII rainfall simulator experimental runoff data sets using hybrid PSR-SVM-FFA approaches

Autor: Sandeep Samantaray, Dillip Kumar Ghose

Publikováno v: Journal of Water and Climate Change, Vol 13, Iss 2, Pp 707-734 (2022)

Effective prediction of runoff is a substantial feature for the successful management of hydrological phenomena in arid regions. The present research findings reveal that a rainfall simulator (RS) can be a valuable instrument to estimate runoff as th

Externí odkaz: https://doaj.org/article/1da7b83cfa69406eb4590bfd907c6b3a

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Akademický článek

Prediction of Flood Discharge Using Hybrid PSO-SVM Algorithm in Barak River Basin

Autor: Sandeep Samantaray, Abinash Sahoo, Ankita Agnihotri

Publikováno v: MethodsX, Vol 10, Iss , Pp 102060- (2023)

A crucial necessity in integrated water resource management is flood forecasting. Climate forecasts, specifically flood prediction, comprise multifaceted tasks as they are dependant on several parameters for predicting the dependant variable, which v

Externí odkaz: https://doaj.org/article/030954b455574fe58769e4f6b063dfbd

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Akademický článek

Monthly runoff prediction at Baitarani river basin by support vector machine based on Salp swarm algorithm

Autor: Sandeep Samantaray, Sambit Sawan Das, Abinash Sahoo, Deba Prakash Satapathy

Publikováno v: Ain Shams Engineering Journal, Vol 13, Iss 5, Pp 101732- (2022)

Accurate monthly runoff prediction is still challenging work regardless of the accessibility of different modelling techniques, like the knowledge-driven or data-driven models, and human activities and climate changes. To this context, applicability

Externí odkaz: https://doaj.org/article/5f3773eba6714c9f99926b9d38f91db2

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Akademický článek

Efficacy of ANFIS-GOA technique in flood prediction: a case study of Mahanadi river basin in India

Autor: Abinash Sahoo, Sandeep Samantaray, Siddhartha Paul

Publikováno v: H2Open Journal, Vol 4, Iss 1, Pp 137-156 (2021)

Accurateness in flood prediction is of utmost significance for mitigating catastrophes caused by flood events. Flooding leads to severe civic and financial damage, particularly in large river basins, and mainly affects the downstream regions of a riv

Externí odkaz: https://doaj.org/article/954a1ec0736346bd9b1edd10bbbce762

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