Analysis of Flood Inundation in Ungauged Mountainous River Basins: A Case Study of an Extreme Rain Event on 5-6 July 2017 in Northern Kyushu, Japan

被引:13
作者
Shakti, P. C. [1 ]
Nakatani, Tsuyoshi [1 ]
Misumi, Ryohei [2 ]
机构
[1] Natl Res Inst Earth Sci & Disaster Resilience NIE, 3-1 Tennodai, Tsukuba, Ibaraki 3050006, Japan
[2] Natl Res Inst Earth Sci & Disaster Resilience NIE, Storm Flood & Landslide Res Div, 3-1 Tennodai, Tsukuba, Ibaraki 3050006, Japan
关键词
extreme rain; flood inundation; hydrologic modeling; ungauged basin; GSSHA;
D O I
10.20965/jdr.2018.p0860
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The heavy rainfall event that occurred on 5-6 July 2017 in Northern Kyushu, Japan, caused extensive flooding across several mountainous river basins and resulted in fatalities and extensive damage to infrastructure along those rivers. For the periods before and during the extreme event, there are no hydrological observations for many of the flooded river basins, most of which are small and located in mountainous regions. We used the Gridded Surface Subsurface Hydrologic Analysis (GSSHA) model, a physically based model, to acquire more detailed information about the hydrological processes in the flood-affected ungauged mountain basins. We calibrated the GSSHA model using data from an adjacent gauged river basin, and then applied it to several small ungauged basins without changing the parameters of the model. We simulated the gridded flow and generated a map of the possible maximum flood depth across the basins. By comparing the extent of flood-affected areas from the model with data of the Japanese Geospatial Information Authority (GSI), we found that the maximum flood inundation areas of the river networks estimated by the GSSHA model are sometimes less than those estimated by the GSI, as the influence of landslides and erosion was not considered in the modeling. The model accuracy could be improved by taking these factors into account, although this task would be challenging. The results indicated that simulations of flood inundation in ungauged mountain river basins could contribute to disaster management during extreme rain events.
引用
收藏
页码:860 / 872
页数:13
相关论文
共 32 条
  • [11] Rapid Global Exposure Assessment for Extreme River Flood Risk Under Climate Change
    Kwak, Youngjoo
    Iwami, Yoichi
    [J]. JOURNAL OF DISASTER RESEARCH, 2016, 11 (06) : 1128 - 1136
  • [12] A new approach to flood risk assessment in Asia-Pacific region based on MRI-AGCM outputs
    Kwak, Youngjoo
    Takeuchi, Kuniyoshi
    Fukami, Kazuhiko
    Magome, Jun
    [J]. HYDROLOGICAL RESEARCH LETTERS, 2012, 6 : 70 - 75
  • [13] Simulation of debris flows in the Central Andes based on Open Source GIS: possibilities, limitations, and parameter sensitivity
    Mergili, Martin
    Fellin, Wolfgang
    Moreiras, Stella M.
    Stoetter, Johann
    [J]. NATURAL HAZARDS, 2012, 61 (03) : 1051 - 1081
  • [14] Probability assessment of flood and sediment disasters in Japan using the Total Runoff-Integrating Pathways model
    Mouri, Goro
    Minoshima, Daigo
    Golosov, Valentin
    Chalov, Sergey
    Seto, Shinta
    Yoshimura, Kei
    Nakamura, Shinichiro
    Oki, Taikan
    [J]. INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2013, 3 : 31 - 43
  • [15] Effects of Global Warming on Heavy Rainfall During the Baiu Season Projected by a Cloud-System-Resolving Model
    Nakamura, Masaomi
    Kaneda, Sachie
    Wakazuki, Yasutaka
    Muroi, Chiashi
    Hashimoto, Akihiro
    Kato, Teruyuki
    Noda, Akira
    Yoshizaki, Masanori
    Yasunaga, Kazuaki
    [J]. JOURNAL OF DISASTER RESEARCH, 2008, 3 (01) : 15 - 24
  • [16] Relative importance of impervious area, drainage density, width function, and subsurface storm drainage on flood runoff from an urbanized catchment
    Ogden, Fred L.
    Pradhan, Nawa Raj
    Downer, Charles W.
    Zahner, Jon A.
    [J]. WATER RESOURCES RESEARCH, 2011, 47
  • [17] Impacts of Recent Climate Change on Flood Disaster and Preventive Measures
    Oshikawa, Hideo
    Hashimoto, Akihiro
    Tsukahara, Kenichi
    Komatsu, Toshimitsu
    [J]. JOURNAL OF DISASTER RESEARCH, 2008, 3 (02) : 131 - 141
  • [18] Sato T., 2006, BETTER INTEGRATED MA, P177
  • [19] Shakti P. C., 2017, Journal of Japan Society of Hydrology and Water Resources, V30, P6, DOI 10.3178/jjshwr.30.6
  • [20] Accuracy of Quantitative Precipitation Estimation Using Operational Weather Radars: A Case Study of Heavy Rainfall on 9-10 September 2015 in the East Kanto Region, Japan
    Shakti, P. C.
    Misumi, Ryohei
    Nakatani, Tsuyoshi
    Iwanami, Koyuru
    Maki, Masayuki
    Maesaka, Takeshi
    Hirano, Kohin
    [J]. JOURNAL OF DISASTER RESEARCH, 2016, 11 (05) : 1003 - 1016