Research Article

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

Table 9

Classif. drought categories received SSW in various months. The  SSW is computed based on the SPEI-1 for the year, 2017, in chosen stations. For instance, in the Skardu Station ND receives SSW with a value of 0.6378. In June of Skardu, the MD receives SSW with a value of 0.1887. It can be observed that ND category received greater weights than other selected drought categories. It can be observed in most of the selected stations and drought indices that the ND is prevalent. Further, the weights of other drought categories in varying stations can be noted accordingly.

MonthAstoreBunjiGupisChilasGilgitSkardu
Classif.WeightsClassif.WeightsClassif.WeightsClassif.WeightsClassif.WeightsClassif.Weights

1ND0.6611ND0.5937ND0.6836ND0.6413MW0.1800ND0.6378
2ND0.6611ND0.5937ND0.6836ND0.6413ND0.5760ND0.6378
3ND0.6611ND0.5937ND0.6836ND0.6413ND0.5760ND0.6378
4MW0.0866ND0.5937ND0.6836MW0.1079ND0.5760ND0.6378
5ND0.6611MD0.1853ND0.6836ND0.6413ND0.5760ND0.6378
6MD0.1672MD0.1853MD0.1620MD0.1852MD0.1926MD0.1887
7MD0.1672MD0.1853MD0.1620MD0.1852MD0.1926MD0.1887
8ND0.6611ND0.5937ND0.6836ND0.6413ND0.5760ND0.6378
9ND0.6611ND0.5937ND0.6836ND0.6413ND0.5760ND0.6378
10ND0.6611ND0.5937ND0.6836ND0.6413ND0.5760ND0.6378
11ND0.6611ND0.5937ND0.6836ND0.6413ND0.5760ND0.6378
12ND0.6611ND0.5937ND0.6836ND0.6413ND0.5760ND0.6378