Research Article

Characterization of Meteorological Drought Using Monte Carlo Feature Selection and Steady-State Probabilities

Table 5

Classif. drought categories in varying stations based on SPEI-1 are provided for the year 2017. In January in Bunji Station, ND occurred with a 0.9796 is the quantitative value of the index. The index value of 1.0670 is computed in Gilgit, which is classified as MW. Further, it can be observed that in most of the months of 2017 the ND appears based on SPEI. In Skardu, none of the other classified drought categories appear except ND for a whole year. In Skardu, the ND is a prevalent drought category.

MonthAstoreBunjiGupisChilasGilgitSkardu
IndexClassif.IndexClassif.IndexClassif.IndexClassif.IndexClassif.IndexClassif.

10.2741ND0.9796ND0.7679ND0.9039ND1.0670MW0.8220ND
20.0829ND0.8384ND0.4871ND0.9296ND0.7976ND0.4919ND
3−0.1682ND0.1045ND0.0219ND0.1193ND0.1447ND0.1232ND
41.4903MW0.0887ND0.3163ND1.3240MW0.6436ND0.1957ND
5−0.8214ND−1.0027MD−0.7708ND−0.8617ND−0.7646ND−0.9650ND
6−1.3547MD−1.3982MD−1.4032MD−1.3619MD−1.0659MD−1.4873MD
7−1.2755MD−1.0733MD−1.2931MD−1.3665MD−1.0312MD−1.3089MD
8−0.9560ND−0.7027ND−0.4335ND−0.8499ND−0.6704ND−0.8895ND
9−0.7888ND−0.4535ND−0.5996ND−0.4873ND−0.3957ND−0.4748ND
10−0.4409ND0.0387ND−0.0183ND0.0061ND0.0157ND−0.0880ND
110.0596ND0.7154ND0.5016ND0.6265ND0.6878ND0.4532ND
120.2411ND0.9475ND0.8261ND0.8367ND0.9538ND0.6461ND