Skip to main content

Table 1 Descriptive statistics of daily flow and relevant data from 1998 to 2010 in Changhua dataset, where DSW, THC and other abbreviates represent names of rainfall, evaporation and gaging stations, and p, R and E refer to flow rates observed at CH, rainfall observed at rainfall stations and evaporation observed at SS, respectively

From: SMOTE-Boost-based sparse Bayesian model for flood prediction

E

p

R(DSW)

R(THC)

R(LMS)

R(SS)

R(LX)

R(YLG)

R(CH)

E(SS)

Mean

146.651

0.596

0.618

0.704

0.786

0.712

0.822

0.631

0.090

SD

202.501

2.411

2.303

2.636

2.553

2.560

2.666

3.405

0.071

Median

80.320

0

0

0

0

0

0

0

0.083

Skewness

3.987

11.026

7.946

10.700

7.819

8.599

7.484

27.617

1.205

kurtosis

24.388

198.996

89.910

190.660

104.110

120.549

100.293

1124.804

7.474