Evaluating agro-meteorological disaster of China based on differential evolution algorithm and VIKOR

• Published in: Natural hazards (Dordrecht) Vol. 94; no. 2; pp. 671 - 687
• Main Authors: Yu, Xiaobing, Lu, Yiqun, Cai, Mei
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.11.2018; Springer Nature B.V
• Subjects: Agricultural production; Agriculture; Algorithms; Civil Engineering; Decision making; Disasters; Drought; Earth and Environmental Science; Earth Sciences; Environmental Management; Evaluation; Evolution; Evolutionary algorithms; Geophysics/Geodesy; Geotechnical Engineering & Applied Earth Sciences; Grain; Hydrogeology; Information science; Mathematical models; Multiple criterion; Natural disasters; Natural Hazards; Optimization; Original Paper; Risk assessment; Stability; Stability analysis; Sustainable development; China; Differential evolution algorithm; VIKOR; Multiple criterion decision making (MCDE); Agro-meteorological disaster
• ISSN: 0921-030X; 1573-0840
• DOI: 10.1007/s11069-018-3412-y

Agriculture is not only concerned with the daily life of the local residents, but also plays a significant role in the sustainable development of China and even the stability of the world grain market. The evaluation of meteorological disaster involves many indexes; it can be regarded as a multiple criterion decision-making problem. Comprehensive indexes system of agro-meteorological disaster is proposed. The relative weights of the indexes are acquired by differential evolution algorithm. A novel evaluation model based on VIKOR is proposed to estimate the agro-meteorological disaster of China from 2006 to 2010. The experiment results have demonstrated that the situation of agro-meteorological disaster in North and Northwest area of China was severe and the agro-meteorological disaster of 2008 was very serious.