SubsidieMeestersSpatial-Temporal Dynamics of Flood Resilience
STORIES aims to investigate and model the historical resilience of societies to floods in the Tea-Horse Road area, providing insights for broader applications in flood-prone regions.
Projectdetails
Introduction
Existing studies on flood-society relations overwhelmingly concentrate on risk, exposure, vulnerability, damage, loss, and adaptation needs, most of which adopt a negative perspective. The fact that various human societies have well survived and continuously developed in flood-prone areas (e.g., coasts, river deltas, flood plains, hilly valleys) is far less studied.
Research Gap
Closing this research gap requires a deeper historical perspective to investigate the resilience of human society to floods, i.e., flood resilience and its changes. The Tea-Horse Road (THR) area, a flood hotspot across the mountainous Southeast Tibetan Plateau, is an ideal natural laboratory to study the spatial-temporal dynamics of flood resilience due to its long and uniquely documented history with extensive hazard experiences.
Theoretical Framework
STORIES will set up a theoretical framework on the multi-spatial-temporal features of flood resilience at the THR region, which covers the spatial differences (household, community, city, and region) over the past 600 years regarding the governance, technology, society, and culture perspectives of flood resilience.
Methodology
A set of quantitative proxy data, historical archives, literature re-analysis, statistical data, observation data, and field survey data will be integrated into both the empirical study in the case areas and the agent-based modeling across the cases.
Objectives
Specifically, STORIES aims to:
- Establish a theoretical understanding of the spatial-temporal scales of flood resilience;
- Investigate the spatial patterns and temporal evolution of flood resilience at the THR cases;
- Model the spatial-temporal dynamics of flood resilience using agent-based models;
- Transfer and generalize the research findings of the THR cases to the Mekong River Delta and beyond.
Contribution
By doing so, STORIES will present pioneering work to shape the emerging research field of flood resilience, offering new and multi-dimensional knowledge on the dynamic nature of flood-society relations.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 1.500.000 |
| Totale projectbegroting | € 1.500.000 |
Tijdlijn
| Startdatum | 1-4-2023 |
| Einddatum | 31-3-2028 |
| Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHENpenvoerder
Land(en)
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Vergelijkbare projecten uit andere regelingen
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Filling the Behavioral Gap in Disaster Risk Reduction and Climate Change AdaptationThe project aims to enhance flood risk assessments by integrating human behavior into policies, using demonstrators from four cities to improve resilience and reduce losses from disasters. | ERC COG | € 1.998.950 | 2024 | Details |
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Flash Flood Prediction and Prevention SystemFLOPRES aims to enhance flood risk management through integrated modeling, early warnings, and stakeholder collaboration, improving community resilience to climate change impacts. | LIFE SAP | € 1.920.676 | 2023 | Details |
Filling the Behavioral Gap in Disaster Risk Reduction and Climate Change Adaptation
The project aims to enhance flood risk assessments by integrating human behavior into policies, using demonstrators from four cities to improve resilience and reduce losses from disasters.
Pathways of resilience and evasion of tipping in ecosystems
The RESILIENCE project aims to advance understanding of ecosystem tipping points and enhance resilience through spatial pattern formation, linking theory with empirical data from vulnerable biomes.
Building models of, with and for sustainability transformations
TRANSMOD aims to enhance sustainability transformations by integrating interdisciplinary analysis of natural resource governance and food systems, using simulation modeling and empirical research to understand complex dynamics.
Flash Flood Prediction and Prevention System
FLOPRES aims to enhance flood risk management through integrated modeling, early warnings, and stakeholder collaboration, improving community resilience to climate change impacts.