Advanced Data-Driven Approach for Forecasting Reservoir Water Levels and Optimizing Water Resource Management Through ARIMA and Geospatial Analytics

Author(s)	Mr. Aniket V. Walunj, Ms. Sampada S. Swami
Country	India
Abstract	Effective management of water resources is crucial for sustainable development. This paper presents a comprehensive framework for analyzing and predicting reservoir water levels using time-series modeling and geospatial visualization. By leveraging historical water-level data, ARIMA models, and interactive visualization tools developed in Python and Streamlit, this study provides actionable insights for policymakers and water resource managers to optimize water distribution, planning, and conservation strategies.
Keywords	Water Resource Management, Time-Series Forecasting, Geospatial Analysis, Streamlit Dashboard, ARIMA, Reservoir Level Prediction, Data Science, Python.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 5, September-October 2025
Published On	2025-10-17
DOI	https://doi.org/10.36948/ijfmr.2025.v07i05.58189

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