Probability assessment of flood and sediment disasters in Japan using the Total Runoff-Integrating Pathways model-Reference-Cited by-同舟云学术

Probability assessment of flood and sediment disasters in Japan using the Total Runoff-Integrating Pathways model

Published:2013-03 Issue: Volume:3 Page:31-43
ISSN:2212-4209
Container-title:International Journal of Disaster Risk Reduction
language:en
Short-container-title:International Journal of Disaster Risk Reduction

Author:

Mouri Goro,Minoshima Daigo,Golosov Valentin,Chalov Sergey,Seto Shinta,Yoshimura Kei,Nakamura Shinichiro,Oki Taikan

Funder

New Energy and Industrial Technology Development Organization (NEDO)

Environmental Research and Technology Development Fund (S-8) of the Ministry of the Environment, Japan

Green Network of Excellence (GRENE)

Sumitomo Foundation, the Foundation of River and Watershed Environment Management

Ministry of Education, Japan

Core Research for Evolutional Science and Technology (CREST), Japan

Publisher

Elsevier BV

Subject

Geology,Safety Research,Geotechnical Engineering and Engineering Geology

Reference66 articles.

1. Aboelata, M, Bowles, DS. LIFESim: a model for estimating dam failures life loss, Institute for Dam Safety Risk Management Utah State University Logan, Utah, 2005.

2. On the transmuted extreme value distribution with application nonlinear analysis: theory;Aryal;Methods & Applications,2009

3. Ashkar F. Partial duration series models for flood analysis. PhD thesis, Ecole Polytechnique of Montreal, Montreal, Canada, 1980

4. Prophecy, reality and uncertainty in distributed hydrological modeling;Beven;Advances in Water Resources,1993

5. TOPMODEL: a critique;Beven;Hydrological Processes,1997

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spatiotemporal evolution of population exposure to multi-scenario rainstorms in the Yangtze River Delta urban agglomeration;Journal of Geographical Sciences;2024-04

2. Equação de chuvas intensas de longa duração para Santa Catarina, Brasil;Revista Brasileira de Climatologia;2023-07-30

3. Design and application of a multi-hazard risk rapid assessment questionnaire for hill communities in the Indian Himalayan region;Natural Hazards and Earth System Sciences;2023-04-04

4. Flood-Affected Population Prediction Based on the Gwo-Bp Neural Network;2023

5. Risk Assessment of Dike Based on Risk Chain Model and Fuzzy Influence Diagram;Water;2022-12-28