scholarly journals Tsunami risk mapping simulation for Malaysia

Author(s):  
S. Y. Teh ◽  
H. L. Koh ◽  
Y. T. Moh ◽  
D. L. DeAngelis ◽  
J. Jiang
Keyword(s):  
2017 ◽  
Vol 3 (6) ◽  
Author(s):  
Amien Widodo ◽  
Dwa Desa Warnana ◽  
Juan Pandu Gya Nur Rochman ◽  
Firman Syaifuddin ◽  
Erik Sapta Perbawa ◽  
...  

2011 ◽  
Vol 1 (32) ◽  
pp. 55 ◽  
Author(s):  
Claus Pedersen ◽  
Ziauddin Abdul Latif ◽  
Caroline Lai

A tsunami risk mapping study for the east coast of the state of Sabah, Malaysia, has been initiated by the Government of Malaysia. The main objective is to produce tsunami risk maps that can be taken into account in local planning for the coastal zone. The study covers a coastline of more than a thousand kilometers which generally is sparsely populated outside the main population centers. The study is regional in character, but with additional focus on the main population centers. The paper outlines the overall steps of hazard mapping through source identification and modelling followed by tsunami wave propagation and potential modelling of overland flow. Modelling challenges related to sparse bathymetry data, limitations to resolution due to the large coverage required combined with a complex bathymetry with coral reefs, islands and outcrops is discussed. Data and model resolution for overland flow modelling is discussed. For the present study, it was found that the inaccuracies in the topographic data is of similar magnitude to the expected inundation levels, and caution has to be exercised in deriving hazard levels from the overland flow modelling. For a regional scale risk mapping exercise, and in the absence of very detailed topographic data, it may be preferable to use the wave height along the coastline as a hazard indicator rather than potentially inaccurate inundation levels and overland flow velocities.


2019 ◽  
Vol 21 (2) ◽  
pp. 393-412
Author(s):  
Adisson Souza Tavares ◽  
Frederico De Holanda Bastos ◽  
Yuri Da Silva Belarmino

As quedas de blocos são processos naturais, classificadas como eventos geomorfológicos perigosos ao homem a partir dos impactos que podem causar sobre as populações que vivem em encostas susceptíveis. O seu deflagro está submetido à influência de diversos fatores que possuem diferentes funções e dinâmicas. Os agentes geológicos, geomorfológicos, pedológicos, fitogeográficos, hidroclimáticos e antrópicos desencadeiam e condicionam os fenômenos, implicando na mudança de sua estrutura, velocidade e duração. De acordo com a classificação de Garcia (2012), este trabalho objetiva identificar os agentes condicionantes e desencadeantes de quedas de blocos, na bacia hidrográfica do Riacho Trapiá, localizada na vertente sul da Serra da Meruoca, noroeste do Ceará. Os passos metodológicos foram: levantamento bibliográfico e cartográfico, técnicas de geoprocessamento, pesquisa de campo e integralização dos dados. Entende-se que os diferentes fatores que levam à ocorrência de quedas de blocos podem ser agrupados em dois conjuntos, sendo eles condicionantes, que levam a predisposição ao início das quedas, e os desencadeantes, que são dinâmicos e iniciam diretamente os processos morfodinâmicos. Logo, a presente análise pode servir de base para diversos tipos de estudos sobre temáticas geomorfológicas, a exemplo das análises de dinâmicas de vertentes, cartografia de risco, planejamento ambiental, ou gestão de bacias hidrográficas.Palavras-chave: Morfodinâmica; Susceptibilidade Geomorfológica; Quedas de Blocos. ABSTRACTRockfalls are natural processes, classified as geomorphological events dangerous to man from the impacts they can cause on populations living on susceptible slopes. Its origin is subject to the influence of several factors that have different functions and dynamics. Geological, geomorphological, pedological, phytogeographic, hydroclimatic and anthropogenic agents trigger and condition phenomena, implying a change in structure, speed and duration. According to Garcia's classification (2012), this work aims to identify the conditioning and triggering agents of rockfalls, in the Riacho Trapiá watershed, located on the southern of Serra da Meruoca, northwestern Ceará. The methodological steps were: bibliographical and cartographic survey, geoprocessing techniques, field research and data collection. It is understood that the different factors that lead to the occurrence of rockfalls can be grouped in two sets, being they conditioners, which lead to the predisposition to the beginning of falls, and the triggers, which are dynamic and directly start the morphodynamic processes. Therefore, the present analysis can serve as the basis for several types of studies on geomorphological topics, such as slope dynamics analysis, risk mapping, environmental planning, or watershed management.Keywords: Morphodynamic; Geomorphological Susceptibility; Rockfalls. RESUMENLas caídas de rocas son procesos naturales, clasificados como eventos geomorfológicos peligrosos para el hombre por los impactos que pueden tener en las poblaciones que viven en laderas susceptibles. Su brote está sujeto a la influencia de varios factores que tienen diferentes funciones y dinámicas. Los agentes geológicos, geomorfológicos, pedológicos, fitogeográficos, hidroclimáticos y antrópicos desencadenan y condicionan los fenómenos, lo que implica un cambio en su estructura, velocidad y duración. De acuerdo con la clasificación de García (2012), este artículo objetiva identificar el acondicionamiento y los agentes desencadenantes de las caídas en la cuenca del Riacho Trapiá, ubicada en la ladera sur de la Serra da Meruoca, al noroeste de Ceará. Los pasos metodológicos fueron: levantamiento bibliográfico y cartográfico, técnicas de geoprocesamiento, investigación de campo e integración de datos. Se entiende que los diferentes factores que conducen a la aparición de caídas se pueden agrupar en dos conjuntos, que son factores condicionantes, guiando la predisposición         a la aparición de caídas, y los factores desencadenantes, que son dinámicos e inician directamente procesos morfodinámicos. Este análisis puede servir como base para estudios sobre temas geomorfológicos, tales como análisis de dinámica de taludes, mapeo de riesgos, planificación ambiental o gestión de cuencas hidrográficas.Palavras clave: Morfodinámica; Susceptibilidad Geomorfológica; Caídas de Rocas.


2000 ◽  
Author(s):  
C. Baker
Keyword(s):  

2020 ◽  
Vol 18 (2) ◽  
pp. 105-113
Author(s):  
Carol Nanziri ◽  
Alex Riolexus Ario ◽  
Vivian Ntono ◽  
Fred Monje ◽  
Dativa Maria Aliddeki ◽  
...  

Author(s):  
Ali Amasha

Abstract Background The flash flood still constitutes one of the major natural meteorological disasters harmfully threatening local communities, that creates life losses and destroying infrastructures. The severity and magnitude of disasters always reflected from the size of impacts. Most of the conventional research models related to flooding vulnerability are focusing on hydro-meteorological and morphometric measurements. It, however, requires quick estimate of the flood losses and assess the severity using reliable information. An automated zonal change detection model applied, using two high-resolution satellite images dated 2009 and 2011 coupled with LU/LC GIS layer, on western El-Arish City, downstream of Wadi El-Arish basin. The model enabled to estimate the severity of a past flood incident in 2010. Results The model calculated the total changes based on the before and after satellite images based on pixel-by-pixel comparison. The estimated direct-damages nearly 32,951 m2 of the total mapped LU/LC classes; (e.g., 11,407 m2 as 3.17% of the cultivated lands; 6031 m2 as 7.22% of the built-up areas and 4040 m2 as 3.62% of the paved roads network). The estimated cost of losses, in 2010 economic prices for the selected three LU/LC classes, is nearly 25 million USD, for the cultivation fruits and olives trees, ~ 4 million USD for built-up areas and ~ 1 million USD for paved roads network. Conclusion The disasters’ damage and loss estimation process takes many detailed data, longtime, and costed as well. The applied model accelerates the disaster risk mapping that provides an informative support for loss estimation. Therefore, decision-makers and professionals need to apply this model for quick the disaster risks management and recovery.


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