Copula-based Analysis of Spatial Distribution Characteristics of Drought in Songnen Grassland
Rina Wu, Jiquan Zhang, Quan Lai, Siqin Tong
Available Online November 2016.
- https://doi.org/10.2991/rac-16.2016.42How to use a DOI?
- Drought spatial analysis;Standardized precipitation Evapotranspiration index (SPEI); Copula; Return period
- In this paper, daily temperature and daily precipitation data at 15 meteorological stations from 1960 to 2014 in Songnen Grassland were used to analyze the characteristics of spatial distribution of drought. A drought event is defined by the run theory and the drought event is described by two characteristic variables, i.e., drought duration and drought severity. three Archimedean Copula functions are used to construct the joint distribution of two characteristic variables and finally the GIS as spatial statistical analysis tool to analyze spatial distribution of the drought return period. The results shows that the Frank Copula well reflect the relationships among drought characteristic variables. The characteristics of the spatial distribution of drought return periods of Songnen grassland are obviously different. The study of return period can provide the scientific basis for risk assessment and drought management for Songnen grassland.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Rina Wu AU - Jiquan Zhang AU - Quan Lai AU - Siqin Tong PY - 2016/11 DA - 2016/11 TI - Copula-based Analysis of Spatial Distribution Characteristics of Drought in Songnen Grassland BT - 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016) PB - Atlantis Press UR - https://doi.org/10.2991/rac-16.2016.42 DO - https://doi.org/10.2991/rac-16.2016.42 ID - Wu2016/11 ER -