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All Journal International Journal of Disaster Management Interaction, Community Engagement, and Social Environment
Faisal, Md.
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Humanities Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science Social Sciences

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Climate Smart Disaster Risk Reduction: Indigenous Knowledge Practiced for Housing Technology in Coastal Zone of Bangladesh Faisal, Md.; Biswas, A. K. M Abdul Ahad; Saha, Milton Kumar
International Journal of Disaster Management Vol 7, No 1 (2024)
Publisher : TDMRC, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/ijdm.v7i1.36786

Abstract

The coastal region of Bangladesh is highly vulnerable to climate-induced natural disasters, with the population frequently experiencing various calamities. Over generations, inhabitants have developed indigenous knowledge and techniques to mitigate these impacts. This study examines traditional practices for enhancing housing resilience in Dashmina Upazila, Patuakhali District, a region prone to such disasters. By employing a multi-method approach, the research began with Focus Group Discussions (FGDs) involving 14 groups of 6-10 participants to explore indigenous knowledge on housing adaptation. This was followed by Key Informant Interviews (KIIs) with 16 individuals, including social leaders and NGO workers, to validate and expand on FGDs findings. Direct Observations through transect walks, Case Studies for in-depth analyses, and a review of secondary data from reports and articles complemented the primary data. Data were analyzed using Microsoft Excel 2010 for both quantitative summaries and descriptive qualitative analysis, with a SWOT analysis employed to assess the strengths, weaknesses, opportunities, and threats of these practices. The study identified effective traditional practices such as Raised Homestead Platforms and Deep-Rooted Pillars, which improved resilience against cyclones and flooding, although challenges such as erosion and material durability were noted. Additionally, Securing Roofs with crossbeams, Heavy Weight Hanging at roof corners, and Planting Disaster-Resistant Trees provided additional protection. Practices like Tying Houses to Trees or Pillars and using Lightweight Materials for riverbank erosion were found to be practical but faced durability issues. Overall, these traditional practices significantly enhance housing resilience, offering cost-effective solutions with actionable improvements. Recommendations include employing more durable materials and enhancing community awareness, highlighting the importance of integrating traditional knowledge with modern strategies for effective disaster risk reduction and climate adaptation. The study suggests that these indigenous practices should be taken into account in decision-making processes for planning any development projects aimed at reducing the risk of disasters
Risk Analysis of Climate Induced Disaster in Coastal Bangladesh: Study on Dashmina Upazila in Patuakhali District Faisal, Md.; Saha, Milton Kumar; Biswas, A. K. M Abdul Ahad
International Journal of Disaster Management Vol 6, No 3 (2023)
Publisher : TDMRC, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/ijdm.v6i3.36483

Abstract

The coastal region of Bangladesh is highly vulnerable to climate change and climate-induced natural disasters. Almost every year, the coastal people face different kinds of natural disasters like floods, tropical cyclones, tornadoes, tidal surges, droughts and large-scale river erosion. The main aim of this study was to identify, analyse and prioritize the existing climate-induced risks in the study area. This study was carried out in Dashmina Upazila under Patuakhali District in the southern coastal region of Bangladesh. The information has been collected through direct observations, key informant interview, focus group discussion and literature review. The study finds the ranking of various hazards based on their perceived level of impact and severity. Storm surge holds the highest ranking at number one, indicates significant devastation and danger. Following closely behind are cyclones, river bank erosion and floods, ranked at two, three, and four, respectively. Hazards such as storm winds and high tides hold moderate rankings at five and six, indicating their potential for damage but to a slightly lesser extent. Pest attacks, irregular rainfall, and hail storms fall in the mid-range of severity, ranked at seven, eight, and nine, respectively. Lastly, salinity is ranked at ten. The study suggests that the identified disaster risk should consider in time of decision making for planning any development project for disaster risk reduction and the study serves as a guide for prioritizing preparedness and mitigation strategies and allocates resources to tackle higher-ranked hazards that pose greater threats to the community or environment.
Measuring Resilience of Urban Slum to Climate Induced Disasters: A Study on Barishal City Corporation, Bangladesh Mukherjee, Ananya; Faisal, Md.; Saha, Milton Kumar
International Journal of Disaster Management Vol 3, No 2 (2020)
Publisher : TDMRC, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/ijdm.v3i2.17815

Abstract

Measuring urban resilience is one of the important processes toward understanding the potential current and future risks of cities, assessing the challenges of urbanization and to guide the development of urban areas. The research was conducted in a slum named Bangabandhu Colony under Barishal City Corporation (BCC). The purpose of the research was to measure the urban disaster resilience and to find out a better way of future urban disaster resilience in this area. Climate Disaster Resilience Index (CDRI) was used to measure climate-related disaster resilience by considering five dimensions: physical, social, institutional, economic and natural which shows resilience level ranging from 1-5 where 1 representing very poor and 5 best. A semi-structured questionnaire was used for collecting the primary data and the secondary data was collected from secondary sources. Results revealed that the resilience level of physical, social, institutional, economic, and natural dimensions was 2.76, 2.79, 2.29, 2.53, 2.59 respectively, which indicates a medium resilience level of all dimensions. Finally, the research depicted that, the resilience level of the area will increase through hand to hand working of people with government and non-government officials, conducting public awareness programs, campaigns, seminars and discussions. The findings of the research can be used by researchers and development workers for enhancing disaster resilience of other areas under Barishal City Corporation as well as other city areas of Bangladesh.
Climate smart disaster risk reduction: Indigenous knowledge practiced for early warning in Coastal Bangladesh Faisal, Md.; Biswas, A. K. M Abdul Ahad; Saha, Milton Kumar
Interaction, Community Engagement, and Social Environment Vol. 3 No. 2: (January) 2026
Publisher : Institute for Advanced Science Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/icese.v3i2.2026.2420

Abstract

Background: The coastal region of Bangladesh faces severe vulnerability to climate change and climate-induced natural disasters annually. Inhabitants in these areas have developed a wealth of indigenous knowledge over generations, comprising techniques to mitigate the impact of these disasters. This study, conducted in Dashmina Upazila within the Patuakhali District of the southern coastal region of Bangladesh, aimed to identify, evaluate, and scale up existing indigenous knowledge practices for early warning in Climate Smart Disaster Risk Reduction. Methods: Information was gathered through various methods such as direct observations, key informant interviews, group discussions, case studies, and a comprehensive literature review. There are 14 Focus Group Discussions (FGD) and communal meetings; 16 Key Informant Interviews (KII) and 5 case histories were conducted. Data were analyzed using Microsoft Excel 2010 for descriptive qualitative analysis, and a SWOT analysis was employed to assess the strengths, weaknesses, opportunities, and threats of these practices. Findings: The study revealed several indigenous indicators for early warning, including the observation that ants climbing into houses with stored food signify imminent heavy rainfall, excessive frog barking indicating forthcoming heavy rain, the belief that crows soar high into the sky to summon rain, a combination of heavy clouds with strong wind suggesting little or no rainfall, muddy river waters signaling potential large floods or storm surges, peculiar crowing sounds at night predicting cyclones, and the occurrence of hot winds from specific directions along with black clouds hinting at imminent norwesters. Conclusion: The study strongly recommends integrating this indigenous knowledge into decision-making processes for developing disaster risk reduction strategies and incorporating them into future development projects within the region. The study faces recall bias, the study has a single-district scope, and it lacks quantitative validation. Novelty/Originality of this article: This research is novel because it systematically documents the indigenous early-warning knowledge of coastal communities in Dashmina Upazila, Bangladesh knowledge that has rarely recorded or scientifically analyzed and invisible to outsiders. It uniquely integrates these traditional cues with modern disaster-risk-reduction perspectives, offering new insights for community-based early warning systems.
Co-Authors Biswas, A. K. M Abdul Ahad Mukherjee, Ananya Saha, Milton Kumar