Analysis and Predictive Modeling of River Water Level in Surma-Meghna River
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Abstract: This study explores the hydrological dynamics of the Meghna-Surma basin in Kishoregonj, Bangladesh, with the objective of analyzing and forecasting river water levels. Using 30 years of daily data (1995–2024) on rainfall, discharge, and water levels, the study first applies statistical regression to examine correlations among the variables. Subsequently, the ARIMA (Autoregressive Integrated Moving Average) model is employed to predict future water level trends up to 2029. Findings reveal a strong correlation between rainfall and discharge, and the ARIMA (4,1,3) model demonstrated satisfactory short-term forecasting performance. The study highlights the practicality of using ARIMA for real-time water level prediction in data-constrained environments. These insights are crucial for flood risk mitigation, agricultural planning, and infrastructure development in river-prone regions of Bangladesh.
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