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Population displacement by extreme weather events have long plagued Bangladesh, a low-lying disaster-prone river delta. The country experiences yearly displacement of approximately one million people and losses of about 1% of its gross domestic product due to cyclones, floods, and riverbank erosion. This study examines how the Bangladesh government has managed climate-induced displacement with a particular focus on socioeconomic development policies. We analyzed the country’s 1984 Land Reform Ordinance, the 2009 climate change strategy and action plan, the 1997 agricultural Khasland settlement policy, perspective plan for 2010–2021, poverty reduction strategy paper, and five-year plans to understand governance changes for displaced communities. We found that, overall, the central government implemented four main strategies. In the first strategy, Bangladesh resettled displaced people in cluster villages on public lands. Then, it provided life skills training (e.g., leadership, disaster preparedness, income generation) to rehabilitate the residents. The third strategy was to align resettlement efforts with local-level climate change adaptation and poverty reduction activities. Here, the central government and its seventeen departments collaborated with local councils to support resettled households under the social safety program. The fourth strategy was to diversify financial resources by obtaining more fund from donors and establishing its own financial mechanism. However, we also found that the decision-making and implementation process remained top-down without need assessment and community participation. This paper intends to offer insights on how similar challenged countries and regions may respond to climate displacement in the future.

The need for inexpensive and sustainable electricity has become an exciting adventure due to the recent rise in the local population and the number of visitors visiting the Banana Islands. Banana Islands is a grid-isolated environment with abundant renewable energy, establishing a hybrid renewable energy-based power system may be a viable solution to the high cost of diesel fuel. This paper describes a dual-flow optimization method for electrifying the Banana Islands, a remote island in Sierra Leone. The study weighs the pros and cons of maintaining the current diesel-based power setup versus introducing a hybrid renewable energy system that takes backup component analysis into account. Hybrid Optimization of Multiple Energy Resources (HOMER) software is used in the first optimization to optimally design the various system configurations based on techno-economic and environmental characteristics. A Multi-Attribute Decision-Making (MADM) Model that takes into account in the second optimization, the Combinative Distance-based Assessment System (CODAS) algorithm, and various methods of assigning weights to the attributes is used to rank the best configuration. The results show that the hybrid renewable energy system is a better option for electrifying the Banana Islands than the current stand-alone system. The Analytical Hierarchy Process (AHP) method of weight assignment was found to be superior to the Entropy method. Biogas generator-assisted hybrid configurations outperformed diesel generatorassisted hybrid configurations. With an optimum design of 101 kW PV, 1 wind turbine, 50 kW biogas, 86 batteries, and a 37.8 kW converter, the PV-wind-biogas-battery system is rated as the best configuration. It has a net present cost (NPC) of $487,247, a cost of energy (COE) of $0.211/kWh, and CO_2 emission of 17.5 kg/year. Sensitivity analyses reveal that changes in the rate of inflation and the cost of storage have a significant effect on the overall cost of the configuration., 論文