Numerical Simulation of the December 26, 2004, Tsunami on the Southwest Coast and Lakshadweep Islands of India

Praveen, S; Reshmi, A. K.; Dhanya, P.; Kalarani, S. Arjun; Kurian, N. P.; Murthy, M.V. Ramana; Hameed, T. S. Shahul; Prakash, T. N.

doi:10.1080/01490419.2011.547799

Cited by 7 publications

(4 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Table 2 presents the results of model calibration reproduced from Praveen et al (2011). The results of simulation carried out for the three sectors representing the Kerala coast are presented in Figures 5, 6, and 7.…”

Section: Resultsmentioning

confidence: 98%

See 1 more Smart Citation

Tsunami Inundation Modelling for the Coast of Kerala, India

2013

Self Cite

View full text Add to dashboard Cite

The disastrous tsunami of December 26, 2004, exposed the urgent need for implementing a tsunami warning system. One of the essential requirements of a tsunami warning system is the set up of tsunami inundation models which can predict inundation and run-up along a coastline for a given set of seismic parameters. The Tsunami Warning Centre and the State/District level Disaster Management Centres should have tsunami inundations maps for different scenarios of tsunami generation. In the event of a tsunamigenic earthquake, appropriate decisions on issue of warnings and/or evacuation of coastal population are made by referring to such maps. The nature of tsunami inundation and run-up along the Kerala coast for the 2004 Sumatra and 1945 Makran, and a hypothetical worst-case scenario are simulated using the TUNAMI N2 model and the results are presented in this paper. Further, scenarios of tsunami inundation arising out of possible rise in sea level as projected by the Intergovernmental Panel on Climate Change (IPCC 2001) are also simulated and analysed in the paper. For the study, three representative sectors of the Kerala coast including the Neendakara-Kayamkulam coast, which was the worst hit by the 2004 tsunami, are chosen. The results show that the southern locations and certain locations of central Kerala coast are more vulnerable for Sumatra when compared to Makran 1945 tsunami. From the results of numerical modelling for future scenarios it can be concluded that sea level rise can definitely make pronounced increase in inundation in some of the stretches where the backshore elevation is comparatively low.

show abstract

Section: Resultsmentioning

confidence: 98%

“…The TUNAMI N2 model of the Tohoku University (Goto et al 1997) has been set up and calibrated (Praveen et al 2011) for the Kerala coast under a project sponsored by the Ministry of Earth Sciences at Center for Earth Science Studies, Thiruvananthapuram. The nested grid version of TUNAMI N2 model is used here.…”

Section: Introductionmentioning

confidence: 99%

Tsunami Inundation Modelling for the Coast of Kerala, India

2013

Self Cite

View full text Add to dashboard Cite

show abstract

“…The modelling results pertaining to propagation, inundation and run-up (Praveen, 20012;Praveen et al, 2011) are given in the following sections.…”

Section: Results Of Numerical Modelling Studiesmentioning

confidence: 99%

Propagation of the Sumatra Tsunami in the Southeast Arabian Sea and Inundation along the Lakshadweep and Kerala Coast of India

Praveen¹

2019

JoARCEE

View full text Add to dashboard Cite

A study of the propagation of the 2004 tsunami in the South East Arabian Sea (SEAS) and the tsunami induced run-up and inundation along the Kerala and Lakshadweep coasts were taken up using posttsunami field survey data and numerical modeling. The role of different wave transformation processes like diffraction, refraction, reflection, and total internal reflection in bringing out the observed run-up and inundation characteristics along the Kerala and Lakshadweep coasts are discussed. Simulations using the TUNAMI N2 model were carried out for three different sources viz. Sumatra 2004, Makran 1945 and a hypothetical potentially worst case from Makran. The results of tsunami vulnerability analysis in terms of run-up and inundation for the entire Kerala coast and four selected Islands of Lakshadweep viz. Androth, Chetlat, Kadmat and Kavaratti show strikingly different run-up and inundation characteristics. While the Kerala coast appears to be vulnerable for inundation due to tsunami from different sources, the Lakshadweep coasts do not appear to be vulnerable. The modeling results for Sea Level Rise scenario for selected sectors indicate that sea level rise can definitely make many fold increase in inundation in some of the stretches. For planning mitigation measures, it would be highly essential to carry out numerical simulations for the extreme SLR scenarios for the whole coast by providing high resolution topographic grid for the coastal zone.

show abstract

“…The unprecedented devastation of the 2004 Indian Ocean earthquake and tsunami, with a magnitude of 9.3 off the coast of Sumatra, resulted in the deaths of approximately 230,000 people in countries along the Indian Ocean rim [3]. Praveen et al (2011) [4] simulated the 2004 tsunami along India's southwest coast and Lakshadweep Islands, finding that numerical simulations aligned reasonably well with observations. Computational modeling studies for the Islands region, such as that of Usha et al (2009) [5], discovered that these areas are highly vulnerable to tsunami risks.…”

Section: Introductionmentioning

confidence: 89%

Assessing the Impact of the 2004 Indian Ocean Tsunami on South Andaman’s Coastal Shoreline: A Geospatial Analysis of Erosion and Accretion Patterns

Singh

Prajapat

et al. 2023

JMSE

View full text Add to dashboard Cite

The 2004 Indian Ocean earthquake and tsunami significantly impacted the coastal shoreline of the Andaman and Nicobar Islands, causing widespread destruction of infrastructure and ecological damage. This study aims to analyze the short- and long-term shoreline changes in South Andaman, focusing on 2004–2005 (pre- and post-tsunami) and 1990–2023 (to assess periodic changes). Using remote sensing techniques and geospatial tools such as the Digital Shoreline Analysis System (DSAS), shoreline change rates were calculated in four zones, revealing the extent of the tsunami’s impact. During the pre- and post-tsunami periods, the maximum coastal erosion rate was −410.55 m/year, while the maximum accretion was 359.07 m/year in zone A, the island’s east side. For the 1990–2023 period, the most significant coastal shoreline erosion rate was also recorded in zone A, which was recorded at −2.3 m/year. After analyzing the result, it can be seen that the tsunami severely affected the island’s east side. To validate the coastal shoreline measurements, the root mean square error (RMSE) of Landsat-7 and Google Earth was 18.53 m, enabling comparisons of the accuracy of different models on the same dataset. The results demonstrate the extensive impact of the 2004 Indian Ocean Tsunami on South Andaman’s coastal shoreline and the value of analyzing shoreline changes to understand the short- and long-term consequences of such events on coastal ecosystems. This information can inform conservation efforts, management strategies, and disaster response plans to mitigate future damage and allocate resources more efficiently. By better understanding the impact of tsunamis on coastal shorelines, emergency responders, government agencies, and conservationists can develop more effective strategies to protect these fragile ecosystems and the communities that rely on them.

show abstract

Numerical Simulation of the December 26, 2004, Tsunami on the Southwest Coast and Lakshadweep Islands of India

Cited by 7 publications

References 1 publication

Tsunami Inundation Modelling for the Coast of Kerala, India

Tsunami Inundation Modelling for the Coast of Kerala, India

Propagation of the Sumatra Tsunami in the Southeast Arabian Sea and Inundation along the Lakshadweep and Kerala Coast of India

Assessing the Impact of the 2004 Indian Ocean Tsunami on South Andaman’s Coastal Shoreline: A Geospatial Analysis of Erosion and Accretion Patterns

Contact Info

Product

Resources

About