Flood risk is a vital concern. We study flood causes, assess potential outcomes, and create strong forecasting models for better early warnings. Through this, we aim to boost readiness and reduce the impact on vulnerable areas.
Study 1
- Study develops flood-vulnerability models for diverse buildings in Sri Lanka's flood-prone Kelani River basin.
- Objective: Strengthen disaster risk reduction efforts.
- Employs empirical approach, using survey questionnaires to estimate flood damages and establish depth-damage functions for four building types.
- Utilizes Flo-2D model and remote sensing data for flood hazard simulations, building exposure assessment, and modified loss model creation.
- Models validated using post-flood survey data to ensure reliability and future applicability for damage estimation and risk reduction planning in Sri Lanka.
Study 2
- Paper presents an integrated model merging a physically based distributed hydrologic model with a distributed flood loss estimation model for river basin flood loss assessment.
- Hydrologic model accounts for key water cycle processes and incorporates human-made flood control structures to precisely simulate floodwater movement.
- Integrated model includes loss estimation component using stage-damage relationships between flood characteristics and land-use attributes.
- This enables calculation of economic losses tied to various land-use categories.
- Case study showcases model's efficacy in a flood-vulnerable Japanese river basin, displaying strong agreement between simulated and observed data.
Study 3
- Flood risk management is a significant challenge in the Asian Region due to increasing flood risks.
- Rapid urbanization leads to greater flood hazards and runoff, while concentrated population and wealth increase the vulnerability of exposed areas.
- Integrated flood management is essential for developing sustainable strategies to reduce flood risks.
- River channel management plays a vital role in basin-wide water management.
- The objective is to lower the loss-frequency curve, addressing both high and low frequency floods.
- Financial instruments are being considered as potential tools for managing flood risks.
Study 4
- Vulnerability means being more susceptible to hazards.
- Essential to understand vulnerability for disaster reduction by identifying vulnerable entities and causes.
- Evaluating vulnerability in social, economic sectors crucial for risk analysis.
- Frequent floods in Southeast Asia, including Hanoi, Vietnam.
- Studying building and population vulnerability vital to reduce urban flood risk in Hanoi.
- Research targets assessing urban flood vulnerability in Hanoi.
- Surveys gather building data; stats analyze flood damage links.
- Findings help decision-makers lower urban vulnerability.
- Analysis's scope limited, but provides foundational insights expandable with larger samples.
Study 5
- Colombo, Sri Lanka's main commercial city, situated in Kelani River's flood plains.
- High vulnerability to flooding, especially during April-June and September-November rainy seasons.
- Climate change brought unpredictable rainfall pattern changes to Colombo.
- Study aimed to assess potential extreme flooding in Colombo from climate change.
- Various Global Circulation Model (GCM) data studied to predict future Kelani basin climate.
- Extreme rainfall scenarios used to model flood inundation in Colombo.
- Adaptation strategies identified to alleviate flooding impacts.
Study 6
- Despite global efforts, flood losses increasing due to climate change.
- Intensified rainfall and typhoons noted in IPCC report and recent studies.
- Predicting flood losses crucial for prevention and financial risk mitigation.
- Most models omit wind-induced damages during floods.
- Paper reviews wind-induced damage inclusion in urban flood loss estimation.
- Provides flood loss model overview.
- Introduces loss estimation using function and inundation modeling in Ichinomiya River basin, Japan.
- Presents approach to estimate wind damage on urban buildings during floods.
- Analyzes case study to assess wind-related flood damage.