Method for predicting sediment runoff including sediment storing mechanism in stream channels

包括河道淤积机制的泥沙径流预测方法

基本信息

  • 批准号:
    13450205
  • 负责人:
  • 金额:
    $ 5.06万
  • 依托单位:
  • 依托单位国家:
    日本
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
  • 财政年份:
    2001
  • 资助国家:
    日本
  • 起止时间:
    2001 至 2003
  • 项目状态:
    已结题

项目摘要

To develop a method for predicting sediment runoff at any cross section of stream channels in a drainage basin, the research was conducted with three sub-topics; 1. density of landslides' occurrences and transformation rate of landslides to debris flow, 2. sediment storing mechanism in channel reach due to sediment transportation by debris flow and 3. development of a method for predicting sediment runoff based on Egashira's method and the results of above sub-topics. The results are summarized as follows.1. The density of landslides occurrences caused by heavy rainfall is closely related to surface and intermediate flows on mountain slopes and can be explained using parameters such as the occupied ratio of surface and intermediate flows, slope gradient and thickness of surface soil layer. In Japanese topographic conditions, landslides more than eighty percent are transformed into debris flows through their run-out processes.2. Formulas for mass conservation with respect to total sediment as well as to each grain size class are proposed to treat an abnormal sediment runoff problem which takes place in stream channels where a large amount of sediment is transported by debris flows.3. A method is proposed for predicting sediment runoff due to rainfall, which is composed of drainage-and channel-model, sediment transport model and rainfall runoff model and can evaluate bed-loads, suspended loads and wash loads. To test validity of the method, predicted results are compared to the observed data for annual reservoir sedimentation and wash loads during several floods in the upper drainage of Kumano river, and accord well with the corresponding data.
为了开发一种预测流域内任意断面河道泥沙径流的方法,本研究分为三个子主题;1. 2.滑坡发生密度与滑坡向泥石流转化速率;2 .泥石流输沙作用下河道段泥沙淤积机制;基于Egashira的方法和上述子主题的结果开发泥沙径流预测方法。结果总结如下:1。强降雨引起的山体滑坡发生密度与坡面和中间流密切相关,可以用坡面和中间流占比、坡度和表土层厚度等参数来解释。在日本的地形条件下,80%以上的山体滑坡都是通过径流过程转化为泥石流的。提出了总沙量和各粒度级的质量守恒公式,用于处理泥石流搬运大量泥沙的河道中发生的异常泥沙径流问题。提出了一种预测降雨径流的方法,该方法由排水-河道模型、输沙模型和降雨径流模型组成,可对河床荷载、悬浮荷载和冲刷荷载进行评估。为了验证该方法的有效性,将预测结果与熊野河上游几次洪水的年水库沉积和冲刷量观测数据进行了比较,结果与实测数据吻合较好。

项目成果

期刊论文数量(68)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Takahiro Itoh, Kuniaki Miyamoto, Shinji Egashira: "Numerical simulation of debris flow over erodible bed"Proceedings of the 3rd International Conference on Debris-Flow Hazards Mitigation. 457-468 (2003)
Takahiro Itoh、Kuniaki Miyamoto、Shinji Egashira:“侵蚀床上泥石流数值模拟”第三届国际泥石流灾害减缓会议论文集。
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    0
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Rabindra Osti, Shinji Egashira, Takahiro Itoh: "Prediction of 1999-San Julian debris flows based on dependent and independent occurrences"Annual Journal of Hydraulic Engineering. Vol.48 (2). 913-918 (2004)
Rabindra Osti、Shinji Egashira、Takahiro Itoh:“基于相关和独立事件的 1999 年圣朱利安泥石流预测”水利工程年度杂志。
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    0
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江頭進治, 伊藤隆郭: "河道堆積物の生成機構を考慮した土砂流出予測法の開発"平成15年度 砂防地すべり技術研究成果報告会講演論文集. 33-46 (2003)
Shinji Egashira,Takakaku Ito:“考虑河道沉积物形成机制的沉积物径流预测方法的开发”2003年Sabo滑坡技术研究成果会议论文集33-46(2003年)。
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    0
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Shinji Egashira, Hiroji Nakagawa, Takahiro Itoh, Rabindra Osti: "Theoretical tools for analyzing sediment hazard countermeasures"Proceedings of the International Civil Engineering Conference on Sustainable Development in the 21st Centiry (Nairobi, Kenya).
Shinji Egashira、Hiroji Nakakawa、Takahiro Itoh、Rabindra Osti:“分析沉积物危害对策的理论工具”21 世纪可持续发展国际土木工程会议论文集(肯尼亚内罗毕)。
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    0
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竹林洋史・江頭進治・岡部健士: "混合砂河床における網状流路の数値解析"水工学論文集. 第47巻. 631-636 (2003)
Hiroshi Takebayashi、Shinji Egashira 和 Kenji Okabe:“混合沙河床中网状河道的数值分析”,《水利工程杂志》,第 47 卷,631-636(2003 年)。
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EGASHIRA Shinji其他文献

走査型プローブ顕微鏡を用いたSiC製パワー半導体デバイスのナノスケール観測
使用扫描探针显微镜对 SiC 功率半导体器件进行纳米级观察
  • DOI:
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    NAKAMURA Yosuke;EGASHIRA Shinji;IKEUCHI Koji;KAKINUMA Daiki;兼田敏之;土井敦史,田中一光,佐藤宣夫,山本秀和
  • 通讯作者:
    土井敦史,田中一光,佐藤宣夫,山本秀和
REAL-TIME FLOOD FORECASTING USING A PARTICLE FILTER COMBINED WITH THE RRI MODEL AND A RIVERBED EVOLUTION MODEL
颗粒过滤器结合RRI模型和河床演化模型的实时洪水预报
Gaming Exercise for Rights-Conversion Type Urban Redevelopment Project in International Cooperation Context
国际合作背景下的转权型城市更新项目博弈演练
  • DOI:
    10.32165/jasag.29.1_2
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    NAKAMURA Yosuke;EGASHIRA Shinji;IKEUCHI Koji;KAKINUMA Daiki;兼田敏之
  • 通讯作者:
    兼田敏之

EGASHIRA Shinji的其他文献

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{{ truncateString('EGASHIRA Shinji', 18)}}的其他基金

A method to predict sediment transport processes in drainage basins for sediment management
一种预测流域泥沙输送过程以进行泥沙管理的方法
  • 批准号:
    16360247
  • 财政年份:
    2004
  • 资助金额:
    $ 5.06万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Studies of sediment hazards and associated countermeasures in Venezuela
委内瑞拉沉积物危害及相关对策研究
  • 批准号:
    13574006
  • 财政年份:
    2001
  • 资助金额:
    $ 5.06万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Unified View of the Mechanics of Debris Flows and Sediment Laden Flows
泥石流和泥沙流力学的统一观点
  • 批准号:
    09450190
  • 财政年份:
    1997
  • 资助金额:
    $ 5.06万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Disasters due to floods, sediment runoff and beach erosion
洪水、泥沙径流和海滩侵蚀造成的灾害
  • 批准号:
    09044188
  • 财政年份:
    1997
  • 资助金额:
    $ 5.06万
  • 项目类别:
    Grant-in-Aid for international Scientific Research
Research on disasters by floods and geomorphological changes
洪水灾害与地貌变化研究
  • 批准号:
    06044113
  • 财政年份:
    1994
  • 资助金额:
    $ 5.06万
  • 项目类别:
    Grant-in-Aid for international Scientific Research
Mechanics of hyperconcentrated sediment laden flow
超浓缩沉积物流动的力学
  • 批准号:
    06650562
  • 财政年份:
    1994
  • 资助金额:
    $ 5.06万
  • 项目类别:
    Grant-in-Aid for General Scientific Research (C)
Movable Bed Armoring and Sediment Transportation
移动床装甲和沉积物运输
  • 批准号:
    63550373
  • 财政年份:
    1988
  • 资助金额:
    $ 5.06万
  • 项目类别:
    Grant-in-Aid for General Scientific Research (C)
Occurrence and Geometric Characteristic of Step-Pool Morphology
阶梯池形貌的发生及几何特征
  • 批准号:
    60550365
  • 财政年份:
    1985
  • 资助金额:
    $ 5.06万
  • 项目类别:
    Grant-in-Aid for General Scientific Research (C)
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