NDLI: Automatic Type Recognition and Mapping of Global Tropical Cyclone Disaster Chains (TDC)

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Automatic Type Recognition and Mapping of Global Tropical Cyclone Disaster Chains (TDC)

Content Provider	MDPI
Author	Wang, Ran Zhu, Laiyin Yu, Han Cui, Shujuan Wang, Jing’ai
Abstract	The catastrophic events caused by meteorological disasters are becoming more severe in the context of global warming. The disaster chains triggered by Tropical Cyclones induce the serious losses of population and economy. It is necessary to make the regional type recognition of Tropical Cyclone Disaster Chain (TDC) effective in order to make targeted preventions. This study mainly explores the method of automatic recognition and the mapping of TDC and designs a software system. We constructed an automatic recognition system in terms of the characteristics of a hazard-formative environment based on the theory of a natural disaster system. The ArcEngine components enable an intelligent software system to present results by the automatic mapping approach. The study data comes from global metadata such as Digital Elevation Model (DEM), terrain slope, population density and Gross Domestic Product (GDP). The result shows that: (1) according to the characteristic of geomorphology type, we establish a type of recognition system for global TDC; (2) based on the recognition principle, we design a software system with the functions of automatic recognition and mapping; and (3) we validate the type of distribution in terms of real cases of TDC. The result shows that the automatic recognition function has good reliability. The study can provide the basis for targeted regional disaster prevention strategy, as well as regional sustainable development.
File Size	1861632
File Format	PDF
e-ISSN	20711050
DOI	10.3390/su8101066
Journal	Sustainability
Issue Number	10
Volume Number	8
Language	English
Publisher Date	2016-10-21
Access Restriction	Open
Subject Keyword	Tropical Cyclone Disaster Chain (TDC) global automatic recognition automatic mapping
Content Type	Text
Resource Type	Article

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