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2016 Fiscal Year Final Research Report

landform classificaton based on geomorphological change in japan island toward natural disaster prevenntion

Research Project

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Project/Area Number 26282078
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypePartial Multi-year Fund
Section一般
Research Field Geography
Research InstitutionThe University of Tokyo

Principal Investigator

sugai toshihiko  東京大学, 新領域創成科学研究科, 教授 (90251321)

Co-Investigator(Renkei-kenkyūsha) NAGUMO Naoko  土木研究所, 水災害リスクマネジメント国際センター, 専門研究員 (00599665)
NIWA Yuichi  東北大学, 災害科学国際研究所, 助教 (20705371)
OGAMI Takashi  中央大学, 理工学部, 助教 (30573191)
Research Collaborator YOSHIDA Hidetsugu  明治大学, 文学部, 准教授 (90548116)
AKIYAMA Daichi  
ENDO Ryo  
Ezure Yasuhide  
FURUKAWA Rio  
GOTO Tomoko  
IGARASHI Ryusuke  
ISHIHARA Takeshi  
ITAMIYA Hiromi  
IZUMIDA Atsuto  
MATSUMOTO Kazuki  
MORITA Yasuhiko  
NISHIKAWA Eimi  
SAMEJIMA Yusuke  
SASAKI Natsuki  
SATO Akio  
SATO Kazuya  
SHIMIZU Hitoshi  
TAKAHASHI Tkakayuki  
UCHIYAMA Shoichiro  
YAMAICHI Tsuyoshi  
Project Period (FY) 2014-04-01 – 2017-03-31
Keywords地形発達史 / 地形分類 / 地殻変動 / 自然災害 / 河川プロセス / 氷河性海水準変動 / 高詳細写真測量 / 地形統計解析
Outline of Final Research Achievements

Genetic-hierarchical landform classification systems were constructed based on landform development history of Kiso Range, Ou backbone Range, Chugoku Mountains, Shirasu Plateau, Kanto and Nobi Plain, Sanriku coast, Japan focusing on landform changes/formation such as landslides, slope failures, multiple rides, dissection valleys, debris-flow fans, river avulsion, crevasse spray, estuary-delta systems, liquefactions, and tsunamis, all of which have potential to produce natural disasters. Geomorphic conditions suitable to generate diverse and sudden landform changes above were discussed by geo-systematic analysis including GNSS, UAV-Sfm photogrammetry, machine learning, geologic core analysis, and dating of radiometric, cosmogenic, OSL, tephrochronological methods.

Free Research Field

地形学

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Published: 2018-03-22  

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