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Study on Storm Surge Using Parametric Model with Geographical Characteristics
Version 1
: Received: 19 July 2020 / Approved: 20 July 2020 / Online: 20 July 2020 (08:37:56 CEST)
A peer-reviewed article of this Preprint also exists.
Kim, Y.-J.; Kim, T.-W.; Yoon, J.-S. Study on Storm Surge Using Parametric Model with Geographical Characteristics. Water 2020, 12, 2251. Kim, Y.-J.; Kim, T.-W.; Yoon, J.-S. Study on Storm Surge Using Parametric Model with Geographical Characteristics. Water 2020, 12, 2251.
Abstract
Recently, the intensities of natural disasters have increased significantly owing to climate change and various other environmental factors, causing unprecedented damage. Measures must be established to reduce damage from large-scale natural disasters caused by the rapidly changing environment. The Japanese government published a hazard map manual in 2015 and obligates the creation of a hazard map as a measure to reduce high-scale storm surges. This manual presents a typhoon model based on a parametric model that is used to create a hazard map. The Myers model assuming concentric circles, which is primarily used in East Asia, is disadvantageous as it cannot consider geographic characteristics. Therefore, a new parametric model is necessary to calculate wind and pressure fields, which change according to geographic characteristics. To improve this limitation of the Myers model, we calculated the wind and pressure fields considering geographical effects by combining the Holland model, which can consider the size of a developing typhoon, and the Mascon model, which changes by geographic characteristics. To determine the gradient coefficient of the Holland model, the coefficient that changes every moment was calculated using grid point value data. The result indicated excellent reproducibility of storm surge height according to the geographic characteristics.
Keywords
storm surge; hazard map; GPV data; typhoon model
Subject
Engineering, Civil Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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