@phdthesis{Trinh2023, author = {Trinh, Xuan Manh}, title = {A methodological framework for future flood risk assessment in ungauged and data-scarce coastal river catchments in Southeast Asia}, doi = {10.26127/BTUOpen-6441}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:co1-opus4-64411}, school = {BTU Cottbus - Senftenberg}, year = {2023}, abstract = {Ungauged and data-scarce coastal river catchments, small and medium-sized ones in particular, are popular worldwide, especially in developing countries in Southeast Asia. In general, coastal river catchments are exposed to various coastal hazards such as fluvial floods, typhoons, and sea-level rise. In addition, climate change and socio-economic development will substantially change global flood risks. However, in scientific research, flood risk and future flood risk assessments in such coastal river catchments have not been significantly considered. Therefore, the overall objective of this thesis is to propose an innovative methodological framework for modeling and evaluating flood risk in such river catchments in the future under the impacts of climate change, sea-level rise, and land-use change based on using numerical models (hydrological models and land-use change models) and remote sensing data (satellite images and precipitation) in combination with other state-of-the-art methods, tools and models, and new approaches, such as flood risk assessment methods, regionalization methods, and statistical downscaling methods. The proposed framework was adopted, applied, and validated successfully for a case study - Tra Bong River Catchment - on the south-central coast of Vietnam as a test application. The main conclusion of this research is that the proposed framework can provide valuable information and projections of changing future flood risk associated with climatic and socio-economic changes in ungauged and data-scarce coastal river catchments. The proposed framework is designed with free model and method choices, meaning that it can apply different methods and tools for each step depending on the natural characteristics of river catchments, data collection, tools, and understanding of models, etc. Finally, this research can be used as a technical reference for designing and building national, regional, or local frameworks/guidelines for assessing future flood risk in ungauged and data-scarce coastal river catchments in Vietnam and other countries in Southeast Asia.}, subject = {Methodological framework; Numerical models; Flood risks; Climate change; Ungauged catchments; Methodologisches Modellierungskonzept; Numerische Modelle; Hochwasserrisiko; Klimawandel; Einzugsgebiete ohne Messdaten; Mittelvietnam; K{\"u}stengew{\"a}sser; Klimawandel; Hochwasser; Datenerhebung; Methodologie; Modllierung; Numerisches Modell}, language = {en} }