Comparative analysis of inflow forecasting using machine learning and statistical techniques: case study of Mangla reservoir and Marala Headworks

Comparative analysis of inflow forecasting using machine learning and statistical techniques: case study of Mangla reservoir and Marala Headworks

This study, under the context of a global perspective, focuses on the Indus Basin Irrigation System (IBIS) of Pakistan specifically the Jhelum and Chenab rivers inflows. The IBIS operation relies on seasonal planning strategies, informed by forecasts of river inflows at key stations by the Indus Riv...

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Bibliographic Details
Main Authors: Muhammad Muneeb Khan, Muhammad Kaleem Sarwar, Muhammad Awais Zafar, Muhammad Rashid, Muhammad Atiq Ur Rehman Tariq, Saif Haider, Abdelaziz M. Okasha, Ahmed Z. Dewidar, Mohamed A. Mattar, Ali Salem
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Environmental Science
Subjects:
ANN
ARIMA
GRNN
inflow forecast
MLFN
neural networks
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2025.1590346/full
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https://www.frontiersin.org/articles/10.3389/fenvs.2025.1590346/full

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