Inhaltsbereich
Forschungsprojekte
STORIES: Spatial Temporal Dynamics of Flood Resilience
| Fachgebiet: Geo-Informationssysteme, Geographische Entwicklungsforschung, Geographische Gesellschaft-Umwelt-Forschung, Hochgebirgsforschung, Hydrologie, Modellierung, Regionale Geographie, Sozialgeographie Gefördert durch: ERC Starting Grant under the Horizon Europe framework Förderkennzeichen: 101040939 Projektleitung: Dr. Liang Emlyn Yang Laufzeit: 04/2023 - 03/2028 |
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| Downloads: Wie koennt Ihr hier leben. LMU Einsichten - Das Forschungsmagazin. June 2022, P8-10.pdf [4.973 KB] | |
Project overview
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 (eg, coasts, river deltas, flood plains, hilly valleys) is far less studied. Closing this research gap requires a deeper historical perspective to investigate the resilience of human society to floods, ie, 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.
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. 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.
Specifically, STORIES aims to 1) establish a theoretical understanding of the spatial-temporal scales of flood resilience; 2) investigate the spatial patterns and temporal evolution of flood resilience at the THR cases ; 3) model the spatial-temporal dynamics of flood resilience using agent-based models ; 4) transfer and generalize the research findings of the THR cases to the Mekong River Delta and beyond.
By doing so, STORIES will present pioneering work in the emerging research field of flood resilience, offering new and multi-dimensional knowledge on the dynamic nature of flood-society relations, and providing crucial missing links to understand how flood resilience develops within complex human-environment contexts.
The project will be active from April 2023 on.
Job announcement
→ A Postdoc position on methodological development for modeling flood resilience (Agent-Based Model and/or Social Network Analysis). Application deadline on January 08, 2023.
https://job-portal.lmu.de/jobposting/1b2f6b6f4b2d426735880cac3c6678040e00d3ad0?ref=homepage
→ A PhD student position focusing on case studies of flood resilience at the Mekong upstream areas in Southwest China (Sichuan and Yunnan Provice). Application deadline on January 08, 2023.
https://job-portal.lmu.de/jobposting/d6daf26e9d46fd1d0ba756a7260918919ffc6b200?ref=homepage
→ A PhD student position in historical geography with funding from the LMU-CSC scholarship 2023, to investigate past social resilience to flood hazards and its changes over a long historical period. Application deadline on January 15, 2023.
Further information is available in the introduction article of the project:
"Social resilience in dealing with climate change"
