PropagationMCC: Compute drought propagation based on maximum correlation

In drought: Statistical Modeling and Assessment of Drought

Compute drought propagation based on maximum correlation

Description

Compute the pearson correlation between multi-time scale SPI and 1-month SRI to reflect the most possible propagation time (PT) from meteorological drought to hydrological drought. Note here the propagation of meteorological to hydrological drought is used as an example. The propagation of other types of drought can also be computed.

Usage

PropagationMCC(X, Y, acc = 12, lim = c(-1, 1), color = NA)

Arguments

X	The vector of monthly meteorological variable (e.g., precipitation)
Y	The vector of monthly hydrological variables (e.g., runoff)
acc	Maximum of propagation time (or accumulation periods)
lim	The limits interval for color
color	Color vector in plot

Value

Plot of correlation matrix

References

Xu, Y. et al (2019). Propagation from meteorological drought to hydrological drought under the impact of human activities: A case study in northern China. J. Hydrol. 579, 124147. Zhang Y., Hao Z., Feng S., et al. (2021). Agricultural drought prediction in China based on drought propagation and large-scale drivers. Agr. Water Manage., 255: 107028.

Examples

X=runif(120, min = 0, max = 100) # 10-year monthly data
Y=runif(120, min = 0, max = 100) # 10-year monthly data
acc <- 12
lim <- c(-1,1)
PropagationMCC(X, Y, acc, lim)

drought documentation built on May 29, 2024, 10:57 a.m.