Climate change-triggered vulnerability assessment of the flood-prone communities in Bangladesh: A gender perspective

Jerin, Tasnim; Azad, Md. Abul Kalam; Khan, Mohammad Nuruzzaman

doi:10.1016/j.ijdrr.2023.103851

Cited by 15 publications

(2 citation statements)

References 39 publications

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“…Examples of social effects of floods include restricted or limited access to clean drinking water, damage to the electricity network and broken transport and communication systems. Furthermore, flood hazards disrupt regular education and normal working environments, as well as healthcare support for the population [72,73]. The long-term effects of floods and their consequences, which may last for months, seriously affect the social-economic system of Bangladesh.…”

Section: Problem Formulationmentioning

confidence: 99%

Deep Learning Methods of Satellite Image Processing for Monitoring of Flood Dynamics in the Ganges Delta, Bangladesh

Lemenkova

2024

Water

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Mapping spatial data is essential for the monitoring of flooded areas, prognosis of hazards and prevention of flood risks. The Ganges River Delta, Bangladesh, is the world’s largest river delta and is prone to floods that impact social–natural systems through losses of lives and damage to infrastructure and landscapes. Millions of people living in this region are vulnerable to repetitive floods due to exposure, high susceptibility and low resilience. Cumulative effects of the monsoon climate, repetitive rainfall, tropical cyclones and the hydrogeologic setting of the Ganges River Delta increase probability of floods. While engineering methods of flood mitigation include practical solutions (technical construction of dams, bridges and hydraulic drains), regulation of traffic and land planning support systems, geoinformation methods rely on the modelling of remote sensing (RS) data to evaluate the dynamics of flood hazards. Geoinformation is indispensable for mapping catchments of flooded areas and visualization of affected regions in real-time flood monitoring, in addition to implementing and developing emergency plans and vulnerability assessment through warning systems supported by RS data. In this regard, this study used RS data to monitor the southern segment of the Ganges River Delta. Multispectral Landsat 8-9 OLI/TIRS satellite images were evaluated in flood (March) and post-flood (November) periods for analysis of flood extent and landscape changes. Deep Learning (DL) algorithms of GRASS GIS and modules of qualitative and quantitative analysis were used as advanced methods of satellite image processing. The results constitute a series of maps based on the classified images for the monitoring of floods in the Ganges River Delta.

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Section: Problem Formulationmentioning

confidence: 99%

Deep Learning Methods of Satellite Image Processing for Monitoring of Flood Dynamics in the Ganges Delta, Bangladesh

Lemenkova

2024

Water

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“…Very often, women, compared to men, are less resilient, with less capacity to overcome challenges of food, energy, and water insecurity, as well as to cope with disaster events and their aftermath. Empirical findings from various geographical locations provide evidence of differential gender vulnerabilities due to unequal or lack of access to natural, financial, and information resources, decision-making power, and limited property (e.g., land) ownership rights and paid employment opportunities [2][3][4][5][6].…”

Section: Introduction: Gender In the Climate Change Contextmentioning

confidence: 99%

Central Asia: Exploring Insights on Gender Considerations in Climate Change

Kovaleva,

Leal Filho,

Borgemeister

et al. 2023

Sustainability

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More than three decades of independence of Central Asia (CA) countries have been marked by socio-economic, political, and legal reforms. Growing climate change impacts threaten the wellbeing and livelihood of the already vulnerable local population, more than half of which comprises women. In this context, it is essential to adequately include both women’s and men’s needs in multiple efforts taken by national governments to overcome climate change challenges. This paper explores how gender/women considerations have been already addressed in climate change in CA using bibliometric analysis, an expert-driven assessment approach, and a comprehensive analysis of thematically relevant development projects. The findings demonstrated a significant prevalence of grey literature implying much lower interest from academia. The experts outlined the importance of women’s participation and consideration of their experiences, which were different from men’s, in climate change decision making. The comprehensive analysis of the selected development projects revealed the leadership/empowerment domain of climate change–gender interconnections as being mostly addressed. The implications of this paper regarding the current knowledge on the topic related to the CA region are threefold. Firstly, it highlights a strong need for further scientific research that could be implemented through international research initiatives and national institutional programs. Secondly, it calls for increased input from women representation in climate action at all levels. Thirdly, it outlines areas that require stronger cooperation with international donors to mainstream gender/women considerations among a wide range of stakeholders engaged in climate change and its related fields. Overall, the paper lays a basis for further steps towards advancing gender-sensitive and -responsive approaches in CA, particularly in those climate-change-related areas that are often perceived as being gender-neutral.

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Gender-based vulnerability and adaptive capacity in the disaster-prone coastal areas from an intersectionality perspective

Bari,

Intesar,

Mamun

et al. 2024

Climate Risk Management

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Climate change-triggered vulnerability assessment of the flood-prone communities in Bangladesh: A gender perspective

Cited by 15 publications

References 39 publications

Deep Learning Methods of Satellite Image Processing for Monitoring of Flood Dynamics in the Ganges Delta, Bangladesh

Deep Learning Methods of Satellite Image Processing for Monitoring of Flood Dynamics in the Ganges Delta, Bangladesh

Central Asia: Exploring Insights on Gender Considerations in Climate Change

Gender-based vulnerability and adaptive capacity in the disaster-prone coastal areas from an intersectionality perspective

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