2023 Fiscal Year Final Research Report
Potential site prediction and warning of collapse caused by groundwater
| Project/Area Number |
21K05671
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 40010:Forest science-related
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| Research Institution | Kagoshima University |
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Principal Investigator |
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| Project Period (FY) |
2021-04-01 – 2024-03-31
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| Keywords | 地下水型崩壊 / 土砂災害 / 水文調査 / 地形地質調査 / 崩壊発生予測 / 警戒避難対応 |
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| Outline of Final Research Achievements |
In recent years, large-scale collapses caused by deep groundwater, such as deep-seated landslides, have been occurring frequently as heavy rainfall increases because of climate change. In this study, an investigation method was developed to identify areas at risk of large-scale collapse from the distribution of specific discharge. Additionally, a method for monitoring spring water was proposed to predict the risk of collapse.
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| Free Research Field |
砂防学
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| Academic Significance and Societal Importance of the Research Achievements |
本研究は，地下水型崩壊の危険箇所抽出と警戒対応について水文学的アプローチで取り組んだものである。地形条件に基づいた土砂災害発生の恐れがある区域指定に地下水集中という水文条件を加えることは区域指定の精度を高める。また，土砂災害警戒情報は降雨ピークで発生することが多い表層崩壊を対象にしており，降雨後に発生することがある地下水型崩壊は含まれていない。湧水監視は地下水型崩壊が発生しやすい地域の防災対策を向上させる。
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