Table 3 SWARA weight for each influencing factor.

From: Multi-hazard spatial modeling via ensembles of machine learning and meta-heuristic techniques

Factor

class

SWARA weight flood

SWARA weight landslide

Altitude (m)

0–512

0.19

0.02

512–828

0.37

0.02

828–1162

0.12

0.03

1162–1416

0.08

0.05

1416–1603

0.06

0.13

1603–1810

0.05

0.42

1810–2056

0.05

0.23

2056–2430

0.05

0.02

2430–3372

0.05

0.08

Aspect

Flat

0.22

0.01

North

0.09

0.47

North-East

0.08

0.01

East

0.12

0.01

South-East

0.08

0.02

South

0.08

0.13

South-West

0.08

0.07

West

0.15

0.04

North-West

0.10

0.24

Distance to river (m)

0–365

0.31

0.37

365–758

0.14

0.21

758–1179

0.20

0.09

1179–1638

0.10

0.06

1638–2150

0.06

0.04

2150–2757

0.08

0.14

2757–3525

0.04

0.03

3525–4616

0.04

0.03

4616–8105

0.04

0.03

Rainfall (mm)

270–376

0.35

376–439

0.20

439–490

0.14

490–553

0.10

553–679

0.10

679–889

0.11

Land use

Urban and residential

0.23

0.36

Water

0.41

0.09

Forest

0.07

0.09

Outcrop

0.07

0.22

Farm land

0.14

0.14

Range land

0.09

0.09

Lithology

Ekn

0.05

0.08

EMas-sb

0.02

0.00

K1bl

0.04

0.00

Kbgp

0.01

0.03

KEpd-gu

0.03

0.43

Klsol

0.00

0.00

KPeam

0.01

0.01

Mgs

0.18

0.00

MuPlaj

0.12

0.01

Ogb

0.00

0.24

OMas

0.07

0.01

PeEtz

0.02

0.00

pd

0.00

0.02

Plbk

0.30

0.04

Qft1

0.01

0.00

Qft2

0.09

0.00

TRKubl

0.02

0.00

TRKurl

0.03

0.13

Others

0.00

0.00

Slope (0)

0–5

0.34

0.11

5–10

0.22

0.41

10–15

0.16

0.14

15–25

0.14

0.22

25 < 

0.14

0.11

Plan curvature (100/m)

Concave

0.31

0.42

Flat

0.39

0.29

Convex

0.31

0.29

Distance to fault (m)

 < 1000

0.15

1000–2000

0.12

2000–3000

0.20

3000–4000

0.10

4000–5000

0.10

 > 5000

0.33

Distance to road (m)

 < 1000

0.24

1000–2000

0.06

2000–3000

0.08

3000–4000

0.06

4000–5000

0.13

 > 5000

0.44