Titlebook: Cross-Cultural Perspectives on Climate Change Adaptation; Adapting to Flood Ri Kwi-Gon Kim,Catherine Atkin Book 2024 The Editor(s) (if appl

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Flood Risk Management in Phnom Penh, Cambodia1970, the country has experienced an economic loss of US $170 million per year due to disasters, and in 2011 alone, disasters caused a 4.3% loss to the country’s GDP. The author studies the Phnom Penh floodplain and Mekong Delta and explores the features and importance of floodplain resilience in te

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Flood Cause Analysis Using Remote Sensing and Upper-Air Observation Data: Case Study of Jakarta of direct and indirect economic damage, and huge social upheaval. In this context, case study author Azhari Cempaka undertakes a hazard, exposure and vulnerability analysis to estimate a median increase in flood risk of 183% in 2030 compared to baseline conditions and synthesizes data to present a

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https://doi.org/10.1007/978-3-031-49723-0ework and methodology for key issues are needed to help cities and communities develop a comprehensive, risk- and scientific, evidence-based flood adaptation, and recovery strategies and actions from a multiplicity of perspectives.

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https://doi.org/10.1007/b115502596)) understand and assess the impacts of current and future climate change, (Step 7) identify significant flood risks, (Step 8) prioritize flood damage reduction options, and (Step 9) monitor and evaluate periodically.

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Putting It All Together: An Email Campaign, stakeholders to support effective implementation of flood management strategies. To cope with flooding, the local communities engage in a number of hazard reduction measures and strategies including the diversification crops, the use of seed varietals tolerant to flood and the cultivation of short-term crops and improving water management.

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Thomas Morstyn,Malcolm D. McCulloches the potential benefits of an SMS-based flood early warning system as a high-value hazard reduction measure. From this analysis, it was found that an SMS-based flood early warning system could reduce annual flood risk in Jakarta by US$ 3.5 million (1.9%) under a realistic scenario, and up to US$ 22.6 million (12%) under an optimistic scenario.