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
A compilation of all meaningful historical data of natural-disasters taken place in Alxa of inner-Mongolia is used here for the construction of a 65 Ma high precision database.The data in the database are divided into...A compilation of all meaningful historical data of natural-disasters taken place in Alxa of inner-Mongolia is used here for the construction of a 65 Ma high precision database.The data in the database are divided into subsets according to the types of natural-disasters such as sand-dust storm,drought events,cold wave and earthquakes,etc.展开更多
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
基金Project supported by the 2013 Inje University Research Grant of Korea
文摘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.
文摘A compilation of all meaningful historical data of natural-disasters taken place in Alxa of inner-Mongolia is used here for the construction of a 65 Ma high precision database.The data in the database are divided into subsets according to the types of natural-disasters such as sand-dust storm,drought events,cold wave and earthquakes,etc.
基金supported by the National Natural Science Foundation of China(No.41571427)the Innovation Group Program of the Chinese Academy of Agricultural Sciences(Grant No.Y2017JC33).
文摘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.
