| Project/Area Number |
16510135
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Natural disaster science
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| Research Institution | Niigata University |
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Principal Investigator |
YAMAGISHI Hiromisu Niigata University, Institute of Science and Technology, Professor, 自然科学系, 教授 (80313500)
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| Co-Investigator(Kenkyū-buntansha) |
アヤレウ ルルセゲド 新潟大学, 理学部, 助教授
上野 将司 応用地質(株), 技術本部・技師長(研究職)
山崎 文明 シン技術コンサル(株), 技術企画部, 部長(研究職)
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| Project Period (FY) |
2004 – 2006
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| Project Status |
Completed (Fiscal Year 2006)
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| Budget Amount *help |
¥3,600,000 (Direct Cost: ¥3,600,000)
Fiscal Year 2006: ¥700,000 (Direct Cost: ¥700,000)
Fiscal Year 2005: ¥700,000 (Direct Cost: ¥700,000)
Fiscal Year 2004: ¥2,200,000 (Direct Cost: ¥2,200,000)
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| Keywords | GIS / landslide / slope failure / earthquake / heavy rainfall / hazard map / 7.13豪雨斜面災害 / 10.23中越地震斜面災害 / 最近の地すべり / Susceptibility map |
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| Research Abstract |
1) The "Study on GIS using landslide prediction and methodology of hazard mapping"(Number : 1651035) started in 2004. Main results are following : by researching and analyses for the geology and geomorphology and road networks concerning about landslide stability of the Yahiko/Kakuda Mountains, Tsugawa area, and Kosado area, we proposed a susceptibility maps using GIS and AHP methods.
2) In 2004, simultaneous numberless landslides occurred on July 13 and October 23 in Mid-Niigata region by heavy rainfalls and intensive earthquakes, respectively. Therefore, using GIS technology, both of the landslides were studied since 2004.
3) The July 13 rainfall-induced landslides were counted to be more than 3000 sites, and by making the data base of them, geologic and geomorphologic conditions of these landslide sites were researched and air-photographs were analyzed.
4) The October 23 earthquake-induced landslides were counted to be more than 4000 sites, and analyses of the geologic and geomorphic conditions were made clear by air-photographs and DMC images.
5) Revealing of the landslide density and relationship to geologic facies and geomorphic curvatures, made it possible to determine the criteria for prediction of landslides induced by earthquakes and rainfalls.
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