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Akiyuki Kawasaki

Researcher at University of Tokyo

Publications -  90
Citations -  1670

Akiyuki Kawasaki is an academic researcher from University of Tokyo. The author has contributed to research in topics: Flood myth & Drainage basin. The author has an hindex of 19, co-authored 79 publications receiving 1163 citations. Previous affiliations of Akiyuki Kawasaki include Asian Institute of Technology & United Nations University.

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Characteristics of the 2011 Chao Phraya River flood in Central Thailand

TL;DR: In this article, the authors proposed countermeasures for preventing major flood damage in the future by analyzing the characteristics of the 2011 Chao Phraya River Flood, which caused tremendous damage, including 813 dead nationwide, seven industrial estates, and 804 companies with inundation damage, and total losses estimated at 1.36 trillion baht.
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Socioeconomic Vulnerability to Disaster Risk: A Case Study of Flood and Drought Impact in a Rural Sri Lankan Community

TL;DR: In this paper, the authors investigated the relationship between disaster risk, poverty, and the associated vulnerability of households and communities in Sri Lanka and found that low income households that depend fully on natural resources for their livelihood are exposed to more frequent disasters and most vulnerable to financial losses incurred through floods and droughts.
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Reflections on a Science and Technology Agenda for 21st Century Disaster Risk Reduction--Based on the Scientific Content of the 2016 UNISDR Science and Technology Conference on the Implementation of the Sendai Framework for Disaster Risk Reduction 2015-2030

TL;DR: The first international conference for the post-2015 United Nations landmark agreements (sendai framework for disaster risk reduction 2015-2030, sustainable development goals, and Paris Agreement on Climate Change) was held in January 2016 to discuss the role of science and technology in implementing the Sendai Framework for Disaster Risk Reduction 2015−2030.
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Landslide susceptibility mapping of the Sera River Basin using logistic regression model

TL;DR: In this article, the authors applied a multivariate statistical approach in the form of a logistics regression model to explore the probability distribution of future landslides in the Eastern Black Sea Region, and the results showed that the natural drainage network plays a significant role in determining landslide occurrence and distribution.
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Evaluating the impacts of climate and land-use change on the hydrology and nutrient yield in a transboundary river basin: A case study in the 3S River Basin (Sekong, Sesan, and Srepok).

TL;DR: Overall, the annual discharge and nutrient yield is projected to increase throughout the twenty-first century, suggesting sensitivity in the 3S River Basin to climate and land-use change.