Mr. R. Ramu (2026) Connecting Floodwater, Rainfall and Reservoir Data to Intelligent Water Redistribution for Drought-Resilient Resource Management - (aqua Rescue)

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: International Journal of Engineering Research and Science & Technology
• Year: 2026
• Date: 2026-10-08
• Authors: Mr. R. Ramu, Golla Indu Prasanna, Mallavalap Divya Reddy, Boddapati Manjunadh, Pembarthi Rohith
• DOI: None

Research Groups

Not explicitly stated in the provided text, but implies a development team for the Aqua Rescue system.

Short Summary

This paper introduces Aqua Rescue, a data pipeline and decision support system designed to integrate diverse water-related data sources in India to plan the redistribution of surplus water from flood-prone areas to drought-prone regions.

Objective

• To develop a data pipeline and decision support system (Aqua Rescue) that integrates disparate water-related data to facilitate the redistribution of surplus water to drought-prone areas in India, thereby mitigating the impacts of floods and droughts.

Study Configuration

• Spatial Scale: Regions of India, specifically basins, sub-basins, reservoirs, and districts across areas experiencing both floods and droughts.
• Temporal Scale: Daily data ingestion and processing; forecasts for the next fourteen days; historical data maintained.

Methodology and Data

• Models used:
  • Long Short-Term Memory (LSTM) network: Forecasts reservoir inflows.
  • Gradient boosting model: Estimates district water demand.
  • Linear programming optimiser: Recommends water redistribution.
  • Standardised Precipitation Index (SPI): Used for drought risk computation.
• Data sources:
  • Daily rainfall: Rain gauge networks and gridded products.
  • Reservoir levels and releases: Water resources department bulletins.
  • River discharge: Gauging stations.
  • Groundwater levels: Observation wells.
  • Flood extent maps: Satellite radar imagery.
  • Population data.
  • Cropping pattern data.
  • Temperature data.

Main Results

• Aqua Rescue successfully integrates diverse, disparate water-related data sources (rainfall, reservoir levels, river discharge, groundwater, flood extents) into a shared spatial framework and curated data warehouse.
• The system employs machine learning models to forecast reservoir inflows (14-day horizon), estimate district-level water demand, and compute drought risk scores.
• A linear programming optimiser provides recommendations for water redistribution through existing infrastructure, respecting operational and environmental constraints.
• The system provides a comprehensive decision support tool for managing water resources, aiming to mitigate simultaneous flood and drought impacts in India.

Contributions

• Development of Aqua Rescue, a novel, integrated data pipeline and decision support system specifically designed to address the complex challenge of water imbalance (simultaneous floods and droughts) in India.
• Integration and harmonization of a wide array of real-time and historical water-related data from multiple agencies into a unified spatial and temporal framework.
• Application of machine learning and optimization techniques to forecast water availability, estimate demand, assess drought risk, and generate actionable recommendations for water redistribution.
• Creation of a system that moves beyond disparate data analysis to provide a holistic, proactive approach to water resource management, enhancing operational efficiency and resilience.

Funding

Not explicitly stated in the provided text.

Citation

@article{MrRRamu2026Connecting,
  author = {Mr. R. Ramu,  Golla Indu Prasanna,  Mallavalap Divya Reddy,  Boddapati Manjunadh,  Pembarthi Rohith},
  title = {Connecting Floodwater, Rainfall and Reservoir Data to Intelligent Water Redistribution for Drought-Resilient Resource Management - (aqua Rescue)},
  journal = {International Journal of Engineering Research and Science & Technology},
  year = {2026},
  url = {https://openalex.org/W7221299254}
}