Cyclone 'Arnab' preparedness tests disaster management governance in Odisha and Andhra Pradesh

Updated 24 Sept 2026

Contents4

Hindustan Times - India · 24 Sept 2026 · 2 min read
Prelims · Current affairs Mains · GS3 Environment and biodiversity High relevance

Educational institutions in multiple districts of Odisha and Andhra Pradesh remain closed as Cyclone 'Arnab' approaches, highlighting systemic disaster preparedness measures under the Disaster Management Act, 2005.

Key points

Cyclone 'Arnab' intensified from a Bay of Bengal depression, prompting school closures in coastal districts of Odisha and Andhra Pradesh till September 24 under disaster protocols.

India Meteorological Department (IMD) forecasts the system will cross between Vishakhapatnam and Gopalpur as a Deep Depression, demonstrating precision in early warning systems.

Odisha's disaster response includes closure of Anganwadi centers and red flag warnings on Puri beaches, showcasing integrated risk communication under SDMA guidelines.

Andhra Pradesh's Vizianagaram district declared a holiday for all schools, reflecting coordinated action between education and disaster management authorities.

This connects to GS3-Disaster Management as it tests implementation of the National Disaster Management Plan (2019) at sub-national levels.

[GS2-Governance] The district-level decision-making on school closures demonstrates operationalization of federal disaster governance under the Disaster Management Act, 2005.

Cyclone naming protocol follows the WMO/ESCAP panel's rotational list, with 'Arnab' being the designated name for this North Indian Ocean system.

Way Forward: States should institutionalize climate-resilient school infrastructure standards, establish real-time coordination between IMD and district administrations, and conduct annual mock drills for cyclone preparedness in coastal schools.

Key terms

Deep Depression
A meteorological classification for cyclonic systems with wind speeds of 51-62 km/h, representing the stage between depression and cyclonic storm as per IMD's intensity scale. For UPSC, understanding this classification is crucial for disaster preparedness questions in GS3.
Disaster Management Act, 2005
The statutory framework establishing National Disaster Management Authority (NDMA) and State Disaster Management Authorities (SDMAs). It mandates disaster preparedness plans and funding mechanisms like the National Disaster Response Fund (NDRF), frequently tested in GS2 and GS3.
India Meteorological Department (IMD)
The national agency responsible for weather forecasting under MoES. Its cyclone warning systems and color-coded alerts (red/orange/yellow) are critical for GS3 disaster management questions and prelims science/tech topics.
National Disaster Management Plan (2019)
India's comprehensive disaster risk reduction framework aligned with Sendai Framework. It emphasizes preparedness, response and recovery across all hazards, making it essential for GS3 answers on institutional mechanisms.

Practice question

Discuss the effectiveness of India's disaster preparedness mechanisms in the context of Cyclone 'Arnab' approaching Odisha and Andhra Pradesh. (250 words, 15 marks)

GS3 15 marks 250 words Mains

Key terms to include: India Meteorological Department (IMD) National Disaster Management Plan (2019) Deep Depression Disaster Management Act, 2005 State Disaster Management Authorities (SDMAs) Color-coded alerts Climate-resilient infrastructure Mock drills

Answer framework

Introduction

Briefly introduce Cyclone 'Arnab' and its impact on Odisha and Andhra Pradesh, highlighting the importance of disaster preparedness mechanisms.

Early Warning Systems

Role of India Meteorological Department (IMD) in forecasting and issuing alerts.

Effectiveness of color-coded alerts (red/orange/yellow) in mobilizing response.

Institutional Mechanisms

Implementation of the Disaster Management Act, 2005 at state and district levels.

Coordination between State Disaster Management Authorities (SDMAs) and local administrations.

Community Preparedness

Measures like school closures and Anganwadi center shutdowns to ensure public safety.

Public awareness campaigns and mock drills for cyclone preparedness.

Challenges and Gaps

Need for climate-resilient infrastructure in vulnerable areas.

Ensuring real-time coordination between IMD and district administrations.

Conclusion

Suggest a way forward by emphasizing the need for institutionalizing climate-resilient standards, enhancing coordination, and conducting regular mock drills.

Fact check

Issues found Overall severity: medium

Cyclone 'Arnab' intensified from a Bay of Bengal depression, prompting school closures in coastal districts of Odisha and Andhra Pradesh till September 24 under disaster protocols.

The source text mentions school closures till September 24 in Odisha, but does not specify Andhra Pradesh's closures till that date. Severity: medium

India Meteorological Department (IMD) forecasts the system will cross between Vishakhapatnam and Gopalpur as a Deep Depression, demonstrating precision in early warning systems.

The source text confirms the forecast but does not mention 'precision in early warning systems' as a demonstrated outcome. Severity: low

Odisha's disaster response includes closure of Anganwadi centers and red flag warnings on Puri beaches, showcasing integrated risk communication under SDMA guidelines.

The source text confirms the closures and red flags but does not mention 'SDMA guidelines' or 'integrated risk communication'. Severity: low

Andhra Pradesh's Vizianagaram district declared a holiday for all schools, reflecting coordinated action between education and disaster management authorities.

The source text confirms the holiday but does not mention 'coordinated action between education and disaster management authorities'. Severity: low

Cyclone naming protocol follows the WMO/ESCAP panel's rotational list, with 'Arnab' being the designated name for this North Indian Ocean system.

The source text mentions the naming protocol but does not specify 'WMO/ESCAP panel's rotational list'. Severity: low