scholarly journals Detecting flood inundation information through Twitter: The 2015 Kinu River flood disaster in Japan

2019 ◽  
Vol 40 (1) ◽  
pp. 1-13
Author(s):  
Yongxue Shi ◽  
Takahiro Sayama ◽  
Kaoru Takara ◽  
Kiyonori Ohtake
Keyword(s):  
Flood Disaster ◽  
Flood Inundation ◽  
River Flood

Evaluation of 1D and 2D numerical models for predicting river flood inundation

2002 ◽  
Vol 268 (1-4) ◽  
pp. 87-99 ◽  
Author(s):  
M.S. Horritt ◽  
P.D. Bates
Keyword(s):  
Numerical Models ◽  
Flood Inundation ◽  
River Flood

Possibilities and challenges in the development of a global flood disaster risk indicator from the post-2015 UN processes perspective: a preliminary study

Water Policy ◽  
2014 ◽  
Vol 17 (2) ◽  
pp. 208-227 ◽  
Author(s):  
Sangeun Lee ◽  
Toshio Okazumi ◽  
Youngjoo Kwak
Keyword(s):  
Development Process ◽  
State Of The Art ◽  
Developed Countries ◽  
Disaster Risk ◽  
Flood Disaster ◽  
Risk Indicators ◽  
Risk Indicator ◽  
Flood Inundation ◽  
Large Area ◽  
Preliminary Study

This study aims to contemplate possibilities and challenges in the current development of global flood disaster risk indicators (GFDRIs). To this end, methodological requirements are first identified from stakeholders' opinions included in the post-2015 UN Development process and the post-2015 Hyogo Framework for Actions process. Then, state-of-the-art methods are applied, as a preliminary attempt, to fourteen countries in Asia to understand how the GFDRI estimates plausibly describe the number of affected people and fatalities under the 50-year return period condition. The results show that GFDRIs are capable of overcoming the unavailability of data necessary to analyze flood inundation depths and areas, describing the number of people affected by flood events, using vulnerability proxies contextually meaningful to understand why flood fatalities disproportionally occur in less developed countries, and making GFDRIs simple, understandable and transparent estimates. Simultaneously, it is revealed that there is still much room to technically improve GFDRIs, especially in dealing with reluctance in assigning a single value to an indicator for a large area such as a country, inaccessibility to authorized disaster records, difficulties in showing the effectiveness of infrastructure such as dams and dykes, and lack of local knowledge about vulnerability.

scholarly journals RADAR TEAM (REMAJA TANGGAP DARURAT) AS AN EFFORT TO IMPROVE THE FLOOD DISASTER EMERGENCY SKILLS

2018 ◽  
Vol 2 (1) ◽  
pp. 39
Author(s):  
Septia Tri Purwaningsih ◽  
Grefima Pramudani ◽  
Nela Nur Azizah ◽  
Hani Wulandari Pratiwi ◽  
Mutia Nurmadiana
Keyword(s):  
Team Building ◽  
Secondary Data ◽  
Flood Disaster ◽  
Primary Data ◽  
Average Score ◽  
Physical Damage ◽  
Cross Sectional ◽  
River Flood ◽  
Cross Sectional Design ◽  
The Village

Background: Bumi Village, Surakarta is one of the areas that are often flooded. The causes of flooding in the village are the overflow of the Premulung River and sedimentation of Jenes River. Flood of course can cause physical and non- physical damage. Flood emergency in the Bumi Village needs immediate action. One of the society elements that has potential to be mobilized in flood disaster emergency is teenagers, so RADAR (Remaja Tanggap Darurat) team building is one of the solutions in prevention and handling flood disaster in Bumi Village, Laweyan. Purpose: To determine the influence of the RADAR team on improving emergency flood disaster in Bumi Village, Laweyan, Surakarta. Methods: This study is observational by Cross Sectional design. Primary data obtained by observation, and secondary data obtained from related documents. Results: The success of this study is shown by the increase of knowledge that can be seen from the increase of pretest-postest questionnaires average score, from 11,2 to 23,1. Conclusion: The RADAR (Remaja Tanggap Darurat) team was proven to improve flood disaster emergency skills in the Bumi Village, Laweyan, Surakarta.

scholarly journals Simulation of Flood Event in Kelantan on December 2014 as revealed by the HEC-HMS

2018 ◽  
Vol 4 (3) ◽  
pp. 215
Author(s):  
Muhamad Zulhilmi Abdul Latif
Keyword(s):  
Heavy Rain ◽  
Flood Disaster ◽  
Water Levels ◽  
Flood Event ◽  
Analysis Tool ◽  
Flood Inundation ◽  
Similar Magnitude ◽  
Extreme Flood ◽  
Flood Analysis ◽  
Peak Discharges

A devastating flood disaster occurred at Kuala Krai, Kelantan on December 2014. The flood disaster had given a significant destructive impact on the infrastructure and as a result, almost 1,600 homes were lost or destroyed. This extreme flood event killed 25 villages and forced 45,467 people in Kuala Krai, Kelantan to be evacuated from their homes. Continuous heavy rain for over three days from the 21st to the 23rd of December, 2014 was set a rainfall record of 1,295 mm, equivalent to the amount of rain usually seen in a span of 64 days. As a result, the water levels of three major rivers, the Sungai Galas in Dabong, the Sungai Lebir in Tualang and the Sungai Kelantan in Jambatan Gueillemard, rose above the dangerous water levels. It is essential to estimate the extent of flood inundation. The objective of this study is to simulate flood event in December 2014 by using HEC-HMS. The results show the peak discharges and inundations occurred approximately on the 25th December 2014; 18,575.7 m3/s to be almost similar magnitude as reported by DID 2014 Flood Report. These findings led to the conclusion that the HEC-HMS model is useful as a flood analysis tool.

Reversibility Between “Nature” and “Society” Recognized in Extreme Meteorological Phenomenon: Taking an Example of the Flood Disaster in the Toga River in Kobe City

2013 ◽  
Vol 8 (1) ◽  
pp. 103-113 ◽  
Author(s):  
Katsuya Yamori ◽  
◽  
Motoyuki Ushiyama ◽  
Keyword(s):  
Flood Disaster ◽  
Disaster Prevention ◽  
Prevention Measures ◽  
Recreational Facilities ◽  
Space And Time ◽  
Sudden Rise ◽  
River Flood ◽  
Nature And Society ◽  
Kobe City ◽  
Meteorological Phenomenon

This paper considers the reversibility between “nature” and “society” recognized in extrememeteorological phenomena, taking an example of the Toga River flood disaster in Kobe City in July 2008. The point is stressed that, in extreme meteorological phenomena, “nature,” representing dangerous space and time, and “society,” representing safe space and time, are easily reversed. For example, in recent years, the number of cases has increased in which citizens experience a sudden rise in a river at recreational facilities with water such as in the case of the Toga River flood disaster. Later, they confessed that they had encountered flood disasters at an unexpected time and place. This suggests that disaster prevention measures to separate “nature,” a rise in a river and flooding, and “society,” the livelihood of citizens in a town, could ironically promote the occurrence of a flood disaster. Previous disaster prevention measures that have attempted to separate “nature” and “society,” spatially by building levees, etc., and also, temporarily by disseminating disaster information, etc., should be reviewed. It is now recommended that new measures be worked out tomake citizens recognize the reversibility of these two elements – “nature” and “society” – and the difficulty of separating these completely. Concretely, this paper discusses the importance of sharing similar flood disaster cases among citizens and the necessity of risk communication of conflicting and dilemmatic situations.

Finding the Devastating Economic Disaster’s Root Causes of the 2011 Flood in Thailand: Why Did Supply Chains Make the Disaster Worse?

2020 ◽  
Vol 15 (5) ◽  
pp. 556-570
Author(s):  
Tadashi Nakasu ◽  
Mamoru Miyamoto ◽  
Ruttiya Bhula-or ◽  
Tartat Mokkhamakkul ◽  
Sutee Anantsuksomsri ◽  
...  
Keyword(s):  
Land Use Planning ◽  
Social Background ◽  
Flood Disaster ◽  
Economic Damage ◽  
Industrial Complex ◽  
Foreign Companies ◽  
Industrial Parks ◽  
River Flood ◽  
Decentralization Policy ◽  
Chao Phraya River

This paper aims to identify the root causes that exacerbated the economic damage from the 2011 Chao Phraya river flood disaster in central Thailand industrial complex area. Finding root causes is crucial for learning from disasters; however, there has not been much investigation of the economic damage root causes with regard to the 2011 Chao Phraya river flood disaster. This paper seeks to investigate the root causes of the economic damage by organizing the existing analytical frameworks, tools and approaches to clarify why industrial parks and estates experienced such substantial economic devastation that resonated worldwide. The study’s research design includes a social background survey, in-depth interview surveys and an investigation of the disaster’s root causes. Through the research, inadequate urban and land use planning facilitated by a decentralization policy, foreign companies settlement in the country, which involved urbanization and relocation without proper risk assessment, information, and knowledge, and supplier’s responsibility based on the supply chain’s structure, are detected as root causes for the high economic damage in the industrial complex area. This study also provides key lessons essential to building regional resilience in industrial complex areas: 1) considering the potential risks of regional planning, which include both socio-economic and climate changes; 2) clarifying the roles of companies, regions, and nations in sharing risk information with related stakeholders before, during, and after a disaster; and 3) building horizontal and vertical collaborations among all related stakeholders.

A fast simplified model for predicting river flood inundation probabilities in poorly gauged areas

2014 ◽  
Vol 29 (10) ◽  
pp. 2275-2289 ◽  
Author(s):  
Christian Massari ◽  
Angelica Tarpanelli ◽  
Tommaso Moramarco
Keyword(s):  
Simplified Model ◽  
Flood Inundation ◽  
River Flood
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