APSC Answer Writing (Daily) based on Assam Tribune – 20/08/2026

For APSC CCE and other Assam Competitive examinations aspirants, practicing Daily Answer Writing is vital. This blog covers the most important Main question and its model Answer from the Assam Tribune today (20-08-2026).

Q. “LODESTAR represents a shift from reactive disaster management to technology-enabled anticipatory action. Discuss its significance and the challenges in developing a multi-hazard early warning system for Guwahati.”

Guwahati faces recurrent urban flooding and other climate-related hazards. The proposed LODESTAR multi-hazard early warning system, based on real-time sensing, modelling, AI and community inputs, seeks to strengthen the city’s transition from reactive response to anticipatory disaster management.

Significance

1. Early detection and forecasting

The system seeks to identify flooding in real time and anticipate its progression over 1-, 3- and 6-hour horizons, providing valuable lead time for authorities.

2. Technology-enabled governance

Integration of AI, sensors, CCTV, rainfall data, hydrological and hydraulic modelling can improve hazard assessment and decision-making.

3. Multi-hazard resilience

Beyond floods, the platform is envisaged to address hazards such as landslides, recognising the interconnected nature of urban risks.

4. Participatory disaster management

Incorporation of citizen-generated information can strengthen ground-level situational awareness and last-mile response.

Challenges

Data gaps: Inadequate spatial coverage and interoperability.
Forecast uncertainty: False alarms may produce warning fatigue.
Institutional coordination: Multiple agencies need seamless information sharing.
Last-mile connectivity: Warnings must reach vulnerable populations, including those with limited digital access.
Cybersecurity: Greater dependence on digital infrastructure creates new vulnerabilities.

Way Forward

LODESTAR should be integrated with ASDMA’s disaster-response architecture, strengthen impact-based forecasting, expand community-based warning mechanisms and establish clear protocols for warning → evacuation → resource mobilisation → response. The system should also be periodically tested for accuracy and effectiveness.

LODESTAR can make Guwahati more resilient, predictive and people-centred in managing disasters. Its success, however, will depend not merely on technological sophistication but on converting accurate information into timely and inclusive action. Thus, technology should serve as an enabler of—not a substitute for—strong institutions, resilient infrastructure and community preparedness.

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