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Areas vulnerable to natural disasters and damage estimation of infrastructure in Busan, Korea
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作者 JEON Sang-Soo 《Journal of Central South University》 SCIE EI CAS 2014年第4期1499-1507,共9页
Since the damages caused by disasters associated with climate anomalies and the diversification of the social structure increase every year, an efficient management system associated with a damage assessment of the ar... Since the damages caused by disasters associated with climate anomalies and the diversification of the social structure increase every year, an efficient management system associated with a damage assessment of the areas vulnerable to disasters is demanded to prevent or mitigate the damages to infrastructure. The areas vulnerable to disasters in Busan, located at southeastern part of Korea, were estimated based on historical records of damages and a risk assessment of the infrastructure was performed to provide fundamental information prior to the establishment of the real-time monitoring system for infrastructure and establish disaster management system. The results are illustrated by using geographical information system(GIS) and provide the importance of the roadmap for comprehensive and specific strategy to manage natural disasters. 展开更多
关键词 natural disaster damages risk assessment infrastructure disaster management system geographical information system
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A dataset of agro-meteorological disasteraffected area and grain loss in China(1949–2015)
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作者 Guo Jingpeng Chen Huiqian +4 位作者 Zhang Xiaorong Zhao Yinghui Mao Kebiao Li Ning Zhu Liang 《中国科学数据(中英文网络版)》 CSCD 2018年第2期62-68,共7页
As a big agricultural country,the People’s Republic of China has experienced a series of natural disasters since its founding,such as the 1959–1961 Great Famine,the 1998 floods and the 2008 snowstorm.Here we present... As a big agricultural country,the People’s Republic of China has experienced a series of natural disasters since its founding,such as the 1959–1961 Great Famine,the 1998 floods and the 2008 snowstorm.Here we present a dataset summarizing four categories of meteorological disasteraffected area at provincial level in China from 1949 to 2015:mildly-affected area,moderately-affected area,heavily-affected area,and total affected area.Based on crop-planting data and natural disaster data,grain losses are also evaluated by using a grain loss assessment model.The dataset plays an important role in the future prediction,prevention,and reduction of agrometeorological disasters. 展开更多
关键词 natural disasters grain loss PROVINCIAL China 1949-2015
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