A dataset of agro-meteorological disaster-affected area and grain loss in China (1949–2015)

• 作者: Guo Jingpeng Chen Huiqian Zhang Xiaorong Zhao Yinghui Mao Kebiao Li Ning Zhu Liang
• 来源期刊: 中国科学数据
• 年，卷（期）: 2018,（2）
• 所属期刊栏目: 减灾研究历史数据集专题
• 页码范围: 62-68
• 页数: 7页
• 语种: 中文
• DOI: 10.11922/csdata.2017.0006.en

摘要

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 disaster-affected 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 agro-meteorological disasters.