Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{185106,
        author = {Dr. Seema Sukhija and Anupam Singh and Chandras Batheja},
        title = {Reactive Alarmism to Proactive Resilience : Harnessing AI and ML for India’s Water Security},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {106-112},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185106},
        abstract = {China’s planned hydropower expansion on the Yarlung Tsangpo, which becomes the Brahmaputra in India, has raised concerns in New Delhi about ecological disruption, water scarcity, and strategic manipulation. The absence of a formal treaty between India and China amplifies India’s vulnerability as a downstream riparian. This paper explores how Artificial Intelligence (AI) and Machine Learning (ML) can provide India with predictive, surveillance, and decision-making tools that enhance resilience and offset information asymmetries. Drawing upon hydro-hegemony theory, Sino-Indian water dispute literature, and case studies of Brahmaputra basin politics, the study situates AI/ML as instruments of counter-hegemony within India’s water-security strategy. The analysis highlights that AI/ML integration into hydrological forecasting, satellite surveillance, and hydro-economic modelling can reinforce India’s bargaining capacity in transboundary water governance (Zeitoun & Warner, 2006, pp. 442) [1]; (Hayat, Gupta, Vegelin, & Jamali, 2022, pp. 1726) [2]},
        keywords = {Artificial Intelligence (AI), Big Data Analytics in Hydrology, Brahmaputra River Basin, Climate Change Adaptation, Counter-Hegemony, Decision Support Systems (DSS), Geopolitics of Water, Hydro-Economic Modelling, Hydro-Hegemony, Hydrological Forecasting, India–China Water Dispute, Machine Learning (ML), Proactive Resilience Framework, Remote Sensing and Surveillance, Riverine Politics in South Asia, Sentiment Analysis in Diplomacy, Sino-Indian Relations, Strategic Resilience, Transboundary Water Governance, Water Security},
        month = {September},
        }