Development of a numerical model for sediment yield for the upper Brahmaputra River basin using optimization technique

• Autorzy: Sil Briti Sundar , Pathan Shehnaj Ahmed

Identyfikatory

DOI

10.1007/s11600-022-01002-3

• Języki publikacji: EN

Abstrakty

EN

At a watershed scale, soil erosion occurs at a spatially variable rate, posing a significant danger to long-term resource management. The most serious issue has long been regarded as soil erosion. As a result, estimating soil loss and identifying the critical area for implementing optimum management techniques are essential to the programme's success. A numerical model called the sediment-rainfall-watershed area model (SRWA) is built using a spatially distributed RUSLE-based SDR hybridized model to estimate sediment yields in the upper Brahmaputra River watershed. The developed model has been calibrated and validated from 2001 to 2007 and 2008 to 2014, respectively. For the entire period, the statistical performance of the proposed SRWA model and the SDR-RUSLE-based model reveals a correlation coefficient of 0.93 and a Nash–Sutcliffe efficiency coefficient of 0.84. This demonstrates that the SRWA model may assess sediment yield at any upper Brahmaputra basin watershed/sub-watershed outlet.

Słowa kluczowe

EN

GRG nonlinear; sediment yield; Majuli river island; Brahmaputra River basin; RUSLE

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2023
• Tom: Vol. 71, no. 5
• Strony: 2423--2438
• Opis fizyczny: Bibliogr. 52 poz., rys., tab.

Twórcy

autor

Sil Briti Sundar

• Department of Civil Engineering, National Institute of Technology, Silchar 788010, India

autor

Pathan Shehnaj Ahmed

• Department of Civil Engineering, National Institute of Technology, Silchar 788010, India

• https://orcid.org/0000-0003-1512-9096

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).