Next Article in Journal
Compositional and Mineralogical Effects on Ice Nucleation Activity of Volcanic Ash
Previous Article in Journal
Macro- and Microphysical Characteristics of Precipitating and Non-Precipitating Stratocumulus Clouds over Eastern China
Article

Analysis of Drought Vulnerability Characteristics and Risk Assessment Based on Information Distribution and Diffusion in Southwest China

by 1,2, 1,2, 1,2, 1,2,* and 1,2,*
1
College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, China
2
State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China
*
Authors to whom correspondence should be addressed.
Atmosphere 2018, 9(7), 239; https://doi.org/10.3390/atmos9070239
Received: 5 April 2018 / Revised: 17 June 2018 / Accepted: 18 June 2018 / Published: 22 June 2018
Drought vulnerability characteristics and risk assessment form the basis of drought risk management. In this study, the standardized precipitation index (SPI) and drought damage rates (DDR) were combined to analyze drought vulnerability characteristics and drought risk in Southwest China (SC). The information distribution method was applied to estimate the probability density of the drought strength (DS) and the two-dimensional normal information diffusion method was used to construct the vulnerability relationships between DS and drought damage (DD). The risk was then evaluated by combining the probability function of the DS and the DD vulnerability curve. The results showed that the relationship between the DS and the DD was nonlinear in SC and its provinces. With the increase in DS, the degree of DD increased gradually, stabilized, or decreased toward the end. However, the vulnerability characteristics of the different provinces varied widely due to multiple risk-bearing bodies and abilities to resist disasters. The risk values obtained across the range of time scales of the SPI were not significantly different. The yielding probabilities will be reduced for the crop area by 10%, 30%, and 70% due to drought. Compared to a normal year in SC, the probability values were 16.04%, 10.29%, and 2.70%, respectively. These results have the potential to provide a reference for agricultural production and drought risk management. View Full-Text
Keywords: standardized precipitation index (SPI); information distribution; information diffusion; drought vulnerability; drought risk; Southwest China standardized precipitation index (SPI); information distribution; information diffusion; drought vulnerability; drought risk; Southwest China
Show Figures

Figure 1

MDPI and ACS Style

Jiang, S.; Yang, R.; Cui, N.; Zhao, L.; Liang, C. Analysis of Drought Vulnerability Characteristics and Risk Assessment Based on Information Distribution and Diffusion in Southwest China. Atmosphere 2018, 9, 239. https://doi.org/10.3390/atmos9070239

AMA Style

Jiang S, Yang R, Cui N, Zhao L, Liang C. Analysis of Drought Vulnerability Characteristics and Risk Assessment Based on Information Distribution and Diffusion in Southwest China. Atmosphere. 2018; 9(7):239. https://doi.org/10.3390/atmos9070239

Chicago/Turabian Style

Jiang, Shouzheng; Yang, Ruixiang; Cui, Ningbo; Zhao, Lu; Liang, Chuan. 2018. "Analysis of Drought Vulnerability Characteristics and Risk Assessment Based on Information Distribution and Diffusion in Southwest China" Atmosphere 9, no. 7: 239. https://doi.org/10.3390/atmos9070239

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop