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ZENODO
Journal . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
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Assessing the Effectiveness of Early Warning Systems (EWS) in Bihar's Flood Disaster Management: A Comprehensive Review

Authors: Aditya Kumar (Gold Medalist);

Assessing the Effectiveness of Early Warning Systems (EWS) in Bihar's Flood Disaster Management: A Comprehensive Review

Abstract

 Bihar, a flood-prone state in northeastern India, experiences recurring and devastating floods due to its geographical vulnerability, exacerbated by changing climatic conditions and socio-economic factors. Early Warning Systems (EWS) have emerged as a crucial tool in flood disaster management to reduce the loss of life, property, and economic setbacks. This paper critically reviews the current state of EWS in Bihar, evaluating its technological advancements, socio-economic impacts, and challenges, particularly in the aftermath of the 2023 floods. The review identifies key weaknesses in the system, including delays in warnings, poor infrastructure, inadequate inter-agency coordination, and low community engagement. Through an examination of past flood events and EWS performance, this paper proposes actionable recommendations to enhance the effectiveness of flood risk management in Bihar, with a focus on technological integration, policy reforms, and community-based preparedness.

Keywords

Disaster Management

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green