Forecasting of Hazard Zone due to Storm Surge Using SIND Model

We have developed the SIND (scientific interpolation for natural disasters) model to forecast natural hazard zone for storm surge. Most previous studies have been conducted to predict hazard zone with numerical simulations based on various scenarios. It is hard to predict hazard zone for all scenari...

Full description

Bibliographic Details
Main Authors: Dong Hyun Kim, Hyung Ju Yoo, Seung Oh Lee
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2021/8852385
id doaj-4f5ad4851ef748c1a3d43176060df382
record_format Article
spelling doaj-4f5ad4851ef748c1a3d43176060df3822021-05-31T00:33:51ZengHindawi LimitedAdvances in Civil Engineering1687-80942021-01-01202110.1155/2021/8852385Forecasting of Hazard Zone due to Storm Surge Using SIND ModelDong Hyun Kim0Hyung Ju Yoo1Seung Oh Lee2Department of Civil EngineeringDepartment of Civil EngineeringDepartment of Civil EngineeringWe have developed the SIND (scientific interpolation for natural disasters) model to forecast natural hazard zone for storm surge. Most previous studies have been conducted to predict hazard zone with numerical simulations based on various scenarios. It is hard to predict hazard zone for all scenarios and to respond immediately because most numerical models are requested a long simulation time and complicated postprocess, especially in coastal engineering. Thus, in this study, the SIND model was developed to overcome these limitations. The principal developing methods are the scientific interpolation for risk grades and trial and error for parameters embedded in the governing equation. Even designed with hatch files, applying disaster characteristics such as the risk propagation, the governing equation for storm surge in coastal lines was induced from the mathematical solver, COMSOL Multiphysics software that solves partial differential equations for multiple physics using FEM method. The verification process was performed through comparison with the official reference, and the accuracy was calculated with a shape similarity indicating the geometric similarity of the hazard zone. It was composed of position, shape, and area criteria. The accuracy of about 80% in terms of shape similarity was archived. The strength of the model is high accuracy and fast calculation time. It took only less than few seconds to create a hazard map for each scenario. As future works, if the characteristics of other disasters would be understood well, it would be able to present risk propagation induced from each natural disaster in a short term, which should help the decision making for EAP.http://dx.doi.org/10.1155/2021/8852385
collection DOAJ
language English
format Article
sources DOAJ
author Dong Hyun Kim
Hyung Ju Yoo
Seung Oh Lee
spellingShingle Dong Hyun Kim
Hyung Ju Yoo
Seung Oh Lee
Forecasting of Hazard Zone due to Storm Surge Using SIND Model
Advances in Civil Engineering
author_facet Dong Hyun Kim
Hyung Ju Yoo
Seung Oh Lee
author_sort Dong Hyun Kim
title Forecasting of Hazard Zone due to Storm Surge Using SIND Model
title_short Forecasting of Hazard Zone due to Storm Surge Using SIND Model
title_full Forecasting of Hazard Zone due to Storm Surge Using SIND Model
title_fullStr Forecasting of Hazard Zone due to Storm Surge Using SIND Model
title_full_unstemmed Forecasting of Hazard Zone due to Storm Surge Using SIND Model
title_sort forecasting of hazard zone due to storm surge using sind model
publisher Hindawi Limited
series Advances in Civil Engineering
issn 1687-8094
publishDate 2021-01-01
description We have developed the SIND (scientific interpolation for natural disasters) model to forecast natural hazard zone for storm surge. Most previous studies have been conducted to predict hazard zone with numerical simulations based on various scenarios. It is hard to predict hazard zone for all scenarios and to respond immediately because most numerical models are requested a long simulation time and complicated postprocess, especially in coastal engineering. Thus, in this study, the SIND model was developed to overcome these limitations. The principal developing methods are the scientific interpolation for risk grades and trial and error for parameters embedded in the governing equation. Even designed with hatch files, applying disaster characteristics such as the risk propagation, the governing equation for storm surge in coastal lines was induced from the mathematical solver, COMSOL Multiphysics software that solves partial differential equations for multiple physics using FEM method. The verification process was performed through comparison with the official reference, and the accuracy was calculated with a shape similarity indicating the geometric similarity of the hazard zone. It was composed of position, shape, and area criteria. The accuracy of about 80% in terms of shape similarity was archived. The strength of the model is high accuracy and fast calculation time. It took only less than few seconds to create a hazard map for each scenario. As future works, if the characteristics of other disasters would be understood well, it would be able to present risk propagation induced from each natural disaster in a short term, which should help the decision making for EAP.
url http://dx.doi.org/10.1155/2021/8852385
work_keys_str_mv AT donghyunkim forecastingofhazardzoneduetostormsurgeusingsindmodel
AT hyungjuyoo forecastingofhazardzoneduetostormsurgeusingsindmodel
AT seungohlee forecastingofhazardzoneduetostormsurgeusingsindmodel
_version_ 1721419591713816576