IMPACT OF ADAPTIVE STRATEGIES IN URBAN FLOOD MANAGEMENT IN LOKOJA, KOGI STATE, NIGERIA

Flooding poses a persistent challenge to Lokoja, a city in Nigeria strategically located at the confluence of the Niger and Benue Rivers. This study investigates the adaptive strategies employed by residents to mitigate the impacts of recurrent floods. Using a mixed-methods approach, data was collected through surveys and interviews with residents and stakeholders. Findings indicate that 73% of respondents identified the construction and maintenance of drainage systems as the most effective adaptive measure, emphasizing the urgent need for improved urban infrastructure. Community-based flood management initiatives, supported by 52% of participants, were highlighted as essential for fostering collective resilience through grassroots engagement. Additionally, 47% of respondents advocated for the implementation of early warning systems to enable timely responses to impending floods. The study reveals significant variability in the perceptions of adaptive measures, underscoring the necessity for tailored interventions that address the specific needs of vulnerable populations. It advocates for a multi-stakeholder approach involving government agencies, community leaders, and non-governmental organizations to ensure sustainable flood management. The findings emphasize the importance of integrating innovative solutions, policy support, and community participation to enhance Lokoja’s resilience. This research contributes to the broader discourse on urban disaster management and offers practical recommendations for mitigating flood risks in similar settings.

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Publication Details

Journal
International Journal of Convergent and Informatics Science Research
Published
2024-12-31
DOI
https://doi.org/10.70382/hijcisr.v06i9.004
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

IMPACT OF ADAPTIVE STRATEGIES IN URBAN FLOOD MANAGEMENT IN LOKOJA, KOGI STATE, NIGERIA

OLUWAFEMI BAMIDELE JULIUS, DR RICHARD KOTTER
International Journal of Convergent and Informatics Science Research
Flood Risk Assessment and Management
article

IMPACT OF ADAPTIVE STRATEGIES IN URBAN FLOOD MANAGEMENT IN LOKOJA, KOGI STATE, NIGERIA

OLUWAFEMI BAMIDELE JULIUS, DR RICHARD KOTTER
article en

Abstract

Flooding poses a persistent challenge to Lokoja, a city in Nigeria strategically located at the confluence of the Niger and Benue Rivers. This study investigates the adaptive strategies employed by residents to mitigate the impacts of recurrent floods. Using a mixed-methods approach, data was collected through surveys and interviews with residents and stakeholders. Findings indicate that 73% of respondents identified the construction and maintenance of drainage systems as the most effective adaptive measure, emphasizing the urgent need for improved urban infrastructure. Community-based flood management initiatives, supported by 52% of participants, were highlighted as essential for fostering collective resilience through grassroots engagement. Additionally, 47% of respondents advocated for the implementation of early warning systems to enable timely responses to impending floods. The study reveals significant variability in the perceptions of adaptive measures, underscoring the necessity for tailored interventions that address the specific needs of vulnerable populations. It advocates for a multi-stakeholder approach involving government agencies, community leaders, and non-governmental organizations to ensure sustainable flood management. The findings emphasize the importance of integrating innovative solutions, policy support, and community participation to enhance Lokoja’s resilience. This research contributes to the broader discourse on urban disaster management and offers practical recommendations for mitigating flood risks in similar settings.

International Journal of Convergent and Informatics Science Research
Northumbria University (GB)
Climate action
Openalex Percentile: Top 78%
Flood Risk Assessment and Management
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