Development of Regression Equation for Drought Occurrence Using Standard Score Method: Focused on Asia

Abstract

In this study, a regression equation for drought occurrence is developed using past drought damage data from Asia. To estimate the regression equation for drought occurrence, Asian droughts are converted into standard scores according to yearly damage. Standard scores of drought occurrence are analyzed using the drought damage data for Asia from 1900 to 2018 to utilize the dimensionless index of normal distribution. Standard scores of drought occurrence in Asia are classified into seven grades. Quantitative indicators of the number of drought occurrences as well as the standard scores of tributaries are presented. Also, the regression equation for drought occurrence in Asia is calculated to predict drought damage considering the climate change effect. The drought outlook for the continent is expected to be the same in Central and Western Asia in 2040 compared with 2018, while the occurrence of drought in East Asia, Southeast Asia, and South Asia is increasing.

Monitoring of Maximum Oxygen Intake of Breathing and Heart Rate in Exercise Training Based on Regression Equations

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Estimation of concrete materials uniaxial compressive strength using soft computing techniques

“…This method standardizes variables and yields dependable findings. The standard sample data score formula is Equation (1) [ 39 ]. In Equation (1) , z represents the standard score, a denotes the sample data, μ stands for the mean of the sample data, and s represents the standard deviation of the sample data.…”