Field observation and numerical simulation of past and future storm surges in the Bay of Bengal: case study of cyclone Nargis

Tasnim, Khandker Masuma; Shibayama, Tomoya; Esteban, Miguel; Takagi, Hiroshi; Ohira, Koichiro; Nakamura, Ryota

doi:10.1007/s11069-014-1387-x

Cited by 49 publications

(23 citation statements)

References 21 publications

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“…Similar to this study, the simulated surge rises with enhancing the domain size primarily and then increases in constant value (Li et al 2013). Tasnim et al (2015) found that the simulated total water level was within the range of 3.5-4.6 m in most locations near the coast, whereas the observed maximum water level was within the range of 3.3-6.3 m. Surge wave occurred under the cyclone track due to the configuration of the coastline. Strong wind stresses were found at the end of the cyclone track.…”

Section: Simulation Of 2008 May Nargis Cyclonesupporting

confidence: 80%

“…Lwin (1980) pointed out that the notable storm surges experienced in Myanmar in the month of May with the cases of May 1967, May 1968, May 1970and May 1975. Most recent cyclone Nargis in 2008 made landfall in Myanmar, the most devastating storm, causing catastrophic destruction of about 10 million US dollar resulting in 140,000 casualties of its path (Tasnim et al 2015). In addition, the coastal regions of Myanmar are vulnerable to the loss of life and material, as these can be easily flooded by storm surges.…”

Section: Introductionmentioning

confidence: 99%

“…This model has been extensively applied in Bangladesh, Myanmar, Pakistan and Sri Lankan coasts. The significant number of researchers (e.g., Dube et al 1985, Dube et al 2004Rao et al 1997;Agnihotri et al 2006;Indo Jain et al 2006;Indo Jain et al 2007;Lin et al 2008;Dube et al 2009;Tyagi et al 2010;Kumar et al 2011;Debsarma 2009;Debsarma et al 2014;Tasnim et al 2015) has been carried out the storm surge simulation studies to develop the model for predicting surges in the BoB. Earlier works use the 2D finite-difference surge model which was established by the Indian Institute of Technology, Delhi (IIT-D), to predict the surge accurately, and the system is fully occupied on the coastal water body.…”

Section: Introductionmentioning

confidence: 99%

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Simulation of Storm Surge in Myanmar Coast

et al. 2017

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Background Storm surge is one of the most severe disastrous hazards in the Southeast Asian region including Myanmar. In order to accurately and on time numerical prediction of a surge, it is a crucial task for disaster mitigation. Purpose The objective of the study is to examine the predicted storm surge heights sensitivity with varying water depth. Storm parameters considered in the study include pressure drops, radius of maximum wind and duration of the storm and landfall angles in the Myanmar coast. Method Traditional model for numerical prediction of the storm surge has some drawbacks such as a delayed intimation of expected storm surges. To overcome these shortcomings, this study used the Indian Institute of Technology, Delhi (IIT-D)-based surge model to explore the various factors of a surge in Myanmar. Results The sensitivity results from the study demonstrate that the shallowness of the water depth and obtuse landfall angle in the Rakhine coast of Myanmar produce the highest surge height. It also shows that a fast-moving cyclone made a larger surge than slower one. The effects of wind stress forcing reveal that high-pressure drops and radius of maximum wind generate a larger surge. The peak surges are computed by the prediction model which compared to the observed values and found to be the most accuracy of the results. Conclusion Thus, this surge model can provide an early (nearly 48 h) warming in the coastal regions of Myanmar. It can help to mitigate disaster from the consequences of storm surge in Myanmar by evacuating the local residents.

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Section: Simulation Of 2008 May Nargis Cyclonesupporting

confidence: 80%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Simulation of Storm Surge in Myanmar Coast

et al. 2017

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“…Adger 2006;Emrich and Cutter 2011;Dewan 2013;Islam et al 2016Islam et al , 2017. A number of studies have emphasized on the technical aspect and numerical modeling of tropical cyclone impacts (for example; Islam and Peterson 2008;Karim and Mimura 2008;Roy and Kovordányi 2012;Tasnim et al 2015;Hoque et al 2016Hoque et al , 2017bHoque et al , 2018. Hoque et al (2017a) systematically reviewed the researches on tropical cyclone disaster management using remote sensing and spatial analysis techniques.…”

Section: Literature Reviewmentioning

confidence: 99%

Vulnerability Factors and Effectiveness of Disaster Mitigation Measures in the Bangladesh Coast

Hossain¹,

Paul

2018

Earth Syst Environ

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The major objective of this paper is to identify the vulnerability factors and examine the effectiveness of disaster mitigation measures undertaken by individuals, government and non-government organisations to mitigate the impacts of cyclones in the Bangladesh coast experiencing from Cyclone Aila. The primary data were collected from two villages of southwestern coastal areas of Bangladesh using questionnaire survey and interviews of the key informants. The data were analysed using the descriptive and inferential statistics. This paper reveals that the disaster management measures have a significant role to lessen the impacts of the cyclonic event, especially in pre-disaster preparedness, cyclone warning message dissemination, evacuation and post-disaster rehabilitation. The households, who have access to shelter, find weather forecast regularly and adopted pre-disaster awareness measures are relatively less susceptible to hazard's impacts. The disaster management measures undertaken by individuals and GOs and NGOs help coastal people to save their lives and property from the negative impacts of cyclones. The analysis shows that the NGOs' role is more effective and efficient than the GOs in cyclone disaster management. This paper identifies distance to shelter, participation in disaster training, efficient warning, etc. as the influential factors of vulnerability cyclones. The analysis finds the households as less affected who have adopted disaster preparedness measures. However, this paper concludes that the effective and proper disaster management and mitigation measures are very crucial to shield the lives and properties of the Bangladeshi coastal people.

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“…This contrasts to neighbouring countries, which have recently experienced several large disasters exceeding 5,000 casualties, contributing to raising awareness. This includes for example the 2004 Indian Ocean Tsunami [3], the 2008 Cyclone Nargis in Myanmar [4], the 2009 and 2010 tsunamis in Samoa and Mentawai [5][6][7], the 2011 Tohoku Earthquake Tsunami [8,9], and the 2013 Typhoon Haiyan in the Philippines [10,11].…”

Section: Introductionmentioning

confidence: 99%

Awareness of Coastal Disasters: Case of an Impoverished Low-Lying River Mouth Community in Southern Vietnam

Esteban¹,

Takagi²,

Valenzuela³

et al. 2017

J-Sustain

Self Cite

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Impoverished communities often suffer disproportionately due to natural hazards, as their inhabitants live in lands which are particularly prone to natural hazards, and exhibit lower levels of awareness and preparedness than other communities. In the present research the authors conducted structured questionnaire surveys amongst a poor community living on top of discarded sea shells in a river bank in Phan Thiet in Southern Vietnam in order to understand the level of awareness of residents against coastal hazard. The results show that although local inhabitants appear to have a moderate to high level of awareness about flooding and typhoon hazards, the evaluation of the risk that they pose to them is moderate to low. Despite the low frequency of coastal hazards in the area, the consequences of any significant event would be disastrous, as the community is located less than half a metre above water level. Thus, it is imperative that better countermeasures are put in place in the area to improve the resilience of inhabitants and ensure the long-term sustainability of the settlement. .

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Field observation and numerical simulation of past and future storm surges in the Bay of Bengal: case study of cyclone Nargis

Cited by 49 publications

References 21 publications

Simulation of Storm Surge in Myanmar Coast

Simulation of Storm Surge in Myanmar Coast

Vulnerability Factors and Effectiveness of Disaster Mitigation Measures in the Bangladesh Coast

Awareness of Coastal Disasters: Case of an Impoverished Low-Lying River Mouth Community in Southern Vietnam

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