FIELD SURVEY OF DRIFTWOODS GENERATION IN THE KUMA RIVER AND THE CHIKUGO RIVER DUE TO THE HEAVY RAIN IN JULY, 2020 AND EVALUATION OF DRIFTWOOD DISASTER RISK IN THE KAWABE RIVER

2021 ◽  
Vol 77 (1) ◽  
pp. 174-184
Author(s):  
Chiho KOBAYASHI ◽  
Takahiro SHOGAKI ◽  
Soma YATO ◽  
Yiwen WU ◽  
Ryodai FUKUDA ◽  
...  
Keyword(s):  
Field Survey ◽  
Heavy Rain ◽  
Disaster Risk ◽  
Chikugo River ◽  
Kuma River

ELUCIDATION OF THE ACTUAL STATE ON THE FLOOD IN THE UPSTREAM PART OF THE KUMA RIVER DURING THE HEAVY RAIN IN JULY 2020

2021 ◽  
Vol 77 (1) ◽  
pp. 203-214
Author(s):  
Nozomu ONAKA ◽  
Yoshihisa AKAMATSU ◽  
Shinichiro YANO ◽  
Yasuo NIHEI ◽  
Masafumi YAMADA ◽  
...  
Keyword(s):  
Heavy Rain ◽  
Actual State ◽  
Upstream Part ◽  
Kuma River

scholarly journals Making Evacuation Routine Behavior: Impact of Experiencing Severe Flood Damage on Recognition and Advance Evacuation Behavior

2021 ◽  
Vol 16 (2) ◽  
pp. 250-262
Author(s):  
Masato Tanaka ◽  
◽  
Minori Shimomura
Keyword(s):  
Heavy Rain ◽  
Disaster Risk ◽  
Flood Damage ◽  
Risk Recognition ◽  
Damage Prediction ◽  
Disaster Victims ◽  
Damage Recognition ◽  
Evacuation Behavior ◽  
The Difference ◽  
The Impact

This study analyzes the impact of experiencing a disaster on subsequent risk recognition and evacuation behavior using data collated from the interview of victims of the flood and landslides that followed the 2014 Hiroshima Heavy Rain Disaster. The high accuracy of the storm and flood damage prediction system has made it possible to limit human casualties by routinizing advance evacuation behavior. The study explores conditions for the routinization of evacuation behavior and its findings are as follows: (i) a series of experiences such as timing of incidental awareness, evacuation, housing damage, and human damage define the damage recognition of each victim. The difference between each damage recognition has different influences on their post-disaster risk recognition and behaviors; (ii) experiencing severe disasters generally enhances disaster risk recognition. However, whether it promotes advanced evacuation behavior is dependent on the magnitude of the damage and pre-disaster risk recognition. If risk recognition is ambiguous, the effect of the experience is minimal even if the damage is severe; (iii) for disaster victims to inculcate an evacuation behavior in preparation for the next disaster, they must first have clear pre-disaster risk recognition mechanisms. It is also necessary to have a reliable destination that is incorporated into the daily life of the residents, which can serve as an evacuation site.

scholarly journals Special Issue on NIED Frontier Research on Science and Technology for Disaster Risk Reduction and Resilience 2019

2019 ◽  
Vol 14 (9) ◽  
pp. 1139-1139
Author(s):  
Haruo Hayashi ◽  
Eiichi Fukuyama
Keyword(s):  
Natural Disasters ◽  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Heavy Rainfall ◽  
Science And Technology ◽  
Volcanic Eruptions ◽  
Heavy Rain ◽  
Disaster Risk ◽  
Rain Event ◽  
Special Issue

The National Research Institute for Earth Science and Disaster Resilience (NIED) is working on three tasks: predicting disasters, preventing damage, and realizing speedy reconstruction and recovery efforts in the event of natural disasters such as earthquakes, tsunamis, volcanic eruptions, landslides, torrential rains, blizzards, and ice storms. In the last three years of the NIED’s fourth mid/long term plan period, which began in 2016, natural disasters have occurred every year, including earthquake disasters such as the 2016 Kumamoto earthquake (M7.3) and the 2018 Iburi, Hokkaido, earthquake (M7.1). Disasters of the rainfall include the heavy rainfall in the northern Kyushu (Fukuoka and Oita) in July 2017, the heavy rain event in southwestern Japan in July 2018, the rainfall in northern Kyushu (Saga) in August 2019, and the heavy rainfall in Kanto and Tohoku in October 2019. There were also other disasters: an avalanche accident on Nasudake in 2017 and a phreatic eruption of Kusatsu-Shiranesan in 2018. Due to the above-mentioned very frequent occurrence of such natural disasters on the Japanese islands, our institute has conducted several research projects to mitigate the damage from such disasters and to accelerate the recovery from them. As the third NIED special issue in the Journal of Disaster Research, several related research results were presented such as those on seismic disasters (Wakai et al., Nakazawa et al., and Ohsumi et al.), those on climatic disasters (Nakamura, and Ishizawa and Danjo), and those of their integrated researches for disaster risk reduction (Cui et al. and Nakajima et al.). Although the achievements detailed in these papers are the results of individual research, the NIED hopes that these results as a whole will be fully utilized to promote science and technology for disaster risk reduction and resilience. The NIED hopes that this special issue awakens the readers’ interest in new research and, of course, creates an opportunity for further collaborative works with us.

INVESTIGATION OF SEDIMENT FLOODING IN SOUZU RIVER, CHIKUGO RIVER SYSTEM BY THE NORTHERN KYUSHU HEAVY RAIN IN JULY 2017.

2018 ◽  
Vol 74 (4) ◽  
pp. I_1189-I_1194 ◽  
Author(s):  
Takashi KOMURO ◽  
Yoshihisa AKAMATSU ◽  
Kohei YAMAGUCHI ◽  
Yutaka WATANABE ◽  
Hirotaka MORIYA ◽  
...  
Keyword(s):  
River System ◽  
Heavy Rain ◽  
Chikugo River

scholarly journals Field Survey of 2018 Typhoon Jebi in Japan: Lessons for Disaster Risk Management

Geosciences ◽  
2018 ◽  
Vol 8 (11) ◽  
pp. 412 ◽  
Author(s):  
Tomoyuki Takabatake ◽  
Martin Mäll ◽  
Miguel Esteban ◽  
Ryota Nakamura ◽  
Thit Kyaw ◽  
...  
Keyword(s):  
Risk Management ◽  
Storm Surge ◽  
Field Survey ◽  
Simulation Models ◽  
Storm Surges ◽  
Disaster Risk ◽  
Disaster Risk Management ◽  
Risk Area ◽  
Local Residents ◽  
Hyogo Prefecture

Typhoon Jebi struck Japan on the 4 September 2018, damaging and inundating many coastal areas along Osaka Bay due to the high winds, a storm surge, and wind driven waves. In order to understand the various damage mechanisms, the authors conducted a field survey two days after the typhoon made landfall, measuring inundation heights and depths at several locations in Hyogo Prefecture. The survey results showed that 0.18–1.27 m inundation depths were caused by Typhoon Jebi. As parts of the survey, local residents were interviewed about the flooding, and a questionnaire survey regarding awareness of typhoons and storm surges, and their response to the typhoon was distributed. The authors also mapped the location of some of the containers that were displaced by the storm surge, aiming to provide information to validate future simulation models of container displacement. Finally, some interesting characteristics of the storm surge are summarized, such as possible overtopping at what had initially been thought to be a low risk area (Suzukaze town), and lessons learnt in terms of disaster risk management are discussed.

scholarly journals SEISMIC VULNERABILITY ASSESSMENT OF MEDICAL FACILITIES: A GIS BASED APPLICATION FOR CHITTAGONG, BANGLADESH

2018 ◽  
Vol 30 (1) ◽  
Author(s):  
Ram Krishna Mazumder ◽  
Mohammad Tais Uddin Utsob ◽  
M. A. Rahman Bhuiyan
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Natural Disasters ◽  
Seismic Vulnerability ◽  
Field Survey ◽  
Disaster Risk ◽  
Seismic Zoning ◽  
Seismic Vulnerability Assessment ◽  
Medical Facilities ◽  
Structural Database

Medical facilities are one of the most important lifelines that need to remain functionalduring and after an earthquake. Bangladesh is a multi-hazard prone country located in thesouthern part of Asia where a significant number of natural disasters are recorded each year. Thesecond largest city and economic hub, Chittagong, is located in the south-eastern part of thecountry, falls in the seismically moderate zone as per Bangladesh National Building Code(BNBC 2017) with a seismic zoning coefficient of 0.28g based on 2 percent probability ofexceedance in 50 years. Most of the buildings were built before implementation of seismic codepracticed in Bangladesh. Based on growing need for developing disaster risk plan, seismicperformance is evaluated for existing important medical facilities by applying simple visual riskassessment procedure. The structural database is developed through field survey and result ofseismic performance is presented in Geographic Information System (GIS).

Sign in / Sign up

Export Citation Format

Share Document