Climate change poses great threats from disastrous floods and droughts to the world, of which Japan, Vietnam and the Philippines are among the most affected countries. Human interventions such as deforestation, dam constructions, and expansion of irrigation system have magnified the impacts of climate change. Sediment supply downstream will be beneficial to improve river geomorphology by creating suitable habitat, reduce coastal erosion and increasing the safety of hydraulic infrastructures. The proposed project aims at assessing the impacts of climate change and human interventions on reservoir sedimentation, flood inundation, agricultural practices, and river and coastal erosion in the Vu Gia-Thu Bon and Cagayan river basins. Then, we establish integrated flood and sediment management schemes for sustainable development. The ultimate goal of the proposed project is to transfer the project’s results to the stakeholders and policy decision makers to implement into the national laws. We also organize some training courses, seminars and workshops to train young researchers, stakeholders, policymakers, local communities and to expand our collaborative network with other ASIAN countries and global change programmes. Learn more about the project at https://www.ifsm-ku.com/
Project leader
Collaborators
Tetsuya Sumi
Doan Van Binh
Mohamed Saber Mohamed Sayed Ahmed
Duong Du Bui
Pham Hong Nga
Vo Ngoc Duong
Orlando F. Balderama
C’zar M. Sulaik
Susan P. Abaño
Jeoffrey Lloyd R. Bareng
Tetsuya Takemi
Lanie A. Alejo
Nguyen Canh Thai
Dao Ngo
Mark Gil S. Hizon
Carlo Capulong Ablan
Truong Hong Son
Phan Khanh Linh
Tam V. Nguyen
Dinh Nhat Quang
Project publications
Spatially quantifying and mapping the riverbed roughness of a tropical river via acoustic Doppler current profiler (ADCP) measurements to develop a 2-D numerical model
Climate change impacts on spatiotemporal variation of extreme weather and its consequences on dam optimisation and risk management in the Cagayan basin, Philippines
Enhancing flood risk assessment through integration of ensemble learning approaches and physical-based hydrological modeling
Project final report: CRRP2020-09MY-Kantoush
Understanding the anthropogenic development impacts on long-term flow regimes in a tropical river basin, Central Vietnam
Application of rainfall-runoff inundation (RRI) model for flood mapping at Vu Gia Thu Bon river basin in Vietnam
Extreme climate indices: Tools for assessment of spatio-temporal climate change risk over Cagayan river basin, Philippines
Reconstructing daily discharge in a megadelta using machine learning techniques
Robust clustering for assessing the spatiotemporal variability of groundwater quantity and quality
Investigating the main reasons for the tragedy of large saline lakes: Drought, climate change, or anthropogenic activities? A call to action
Predicting tropical monsoon hydrology using CFSR and CMADS data over the Cau River Basin in Vietnam
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