Japan Geoscience Union Meeting 2015

Presentation information

Print

Oral

Symbol H (Human Geosciences) » H-SC Social Earth Sciences & Civil/Urban System Sciences

[H-SC24] Human environment and disaster risk

Sun. May 24, 2015 4:15 PM - 6:00 PM 101B (1F)

Convener:*Tatsuto Aoki(School of Regional Development Studies, Kanazawa University), Yasuhiro Suzuki(Nagoya University), Mamoru Koarai(Survey Department, College of Land, Infrastructure, Transport and Tourism), Toshihiko Sugai(Department of Natural Environmental Studies, Institute of Environmental Studies, Graduate School of Frontier Science, The University of Tokyo), Hiroshi Une(Geospacial Information Authority of Japan), Yoichi Nakamura(Department of Earth Sciences, Utsunomiya University), Jun Matsumoto(Deaprtment of Geography, Tokyo Metropolitan University), Shintaro Goto(Department of Environmental Systems Faculty of GEO-Environmental Science Rissho University), Keitarou Hara(Faculty of Informatics, Tokyo University of Information Sciences), Chair:Tatsuto Aoki(School of Regional Development Studies, Kanazawa University)

4:30 PM - 4:45 PM

[HSC24-02] Comprehensive geographical characteristics zoning from disaster and environment management

*Mamoru KOARAI1, Kyungrock YE2, Takayuki NAKANO3, Yusuke MIZUUCHI2 (1.College of Land, Infrastructure, Transport and Tourism, 2.Chiba University, 3.Geospatial Information Authority of Japan)

Keywords:geographical characteristics zoning, disaster characteristics, landscape characteristics

When considering ground design of national land, it is important to specify an area with homogeneous natural and cultural special quality and doesn't damage the special quality of the area by organization cooperation of a residents, land owners and local governments. The authors are studying about the method to specify the spatial areas which enables such management.
Koarai et al. (2013) divided an area of the Kanto and Ko-Shin-Etsu regions into an area of 92 with 15 categories, based on disaster characteristics using landform and geological data. On the other hand, Ye et al. (2013) divided an area of the Kanto and Ko-Shin-Etsu regions into an area of 111 with 14 categories, based on landscape characteristics using landform and land use / vegetation data. This research tried to reconsider both repartition in the area of the Kanto and Ko-Shin-Etsu regions by the angle of the country management and integrate into one.