Yanos Zylberberg to be Co-Investigator for NERC/ESRC joint research programme
28 November 2018
Congratulations to Yanos who will be the Co-Investigator in this joint project with the Department of Geographical Sciences.
An Interdisciplinary Approach to Understanding Past, Present and Future Flood Risk in Vietnam
NERC/ESRC and NAFOSTED (National Foundation for Science & Technology Development) in Vietnam have allocated a large grant to the Bristol team which will work in collaboration with the Vietnamese team and run from January 2019 – 2022.
This project is the first attempt at combining state-of-the-art hydrodynamic flood models with high-resolution data on economic activity, mitigation and coping strategies of households. Studying how hydro-physical and socio-economic conditions and processes interact is important because (i) a large component of vulnerability to floods is explained by assets and activities at stake and (ii) households adjust their behaviour to flood risk. The proposed research will address this challenge by combining state-of-the-art flood models with a novel high-quality household survey.
This main methodological contribution will allow the production of a comprehensive index of socio-economic vulnerability, aggregated from household-specific exposure. By incorporating the household response to flood risk, future scenarios and policy interventions will be evaluated accounting for strategic response of economic activities, risk-mitigating instruments and post-disaster support. The research contribution can be summarised by the following aims:
Aim 1: Integrate a state-of-the-art hydrodynamic flood model, satellite imagery, detailed land-use maps, and household survey data to develop a novel socio-physical flood model of the Central Highlands and to produce a set of risk projections based upon a range of possible future scenarios.
Aim 2: Evaluate all aspects of the individual household response to flood risk in the short- and medium-run and assess how their responses aggregate at the commune level, through the estimation of social multipliers across households and heterogeneity in household adaptation strategies.