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Table 6 Equations of ANOVA regression for the observed sites

From: Adapting sudden landslide identification product (SLIP) and detecting real-time increased precipitation (DRIP) algorithms to map rainfall-triggered landslides in Western Cameroon highlands (Central-Africa)

Observed sites (Period)

Model

Values

S1-Njiloum1 (1948–2018)

0.03004 ∗ 18119.1 ∗ 6072.012 ∗ (−0.488)

1.0073

S2-Njiloum2 (1948–2018)

0.03004 ∗ 33858 ∗ 6072.012 ∗ (−0.2612)

35.0509529712193

S3-Njitout (1948–2018)

0.03004 ∗ 158816.73 ∗ 6072.012 ∗ (−0.394)

29.6676110831837

S4-Koutaba (1948–2018)

0.0305 ∗ 1812 ∗ 6101.694 ∗ (−0.493)

0.260802712270763

S5-Bafoussam (1948–2018)

0.0233 ∗ 13589.52 ∗ 6131.76 ∗ (−0.3463)

6.33339140678556

Mean 1948–2018

 

14.4640116346919

S1-Njiloum1 (2019)

18255.1 ∗ 55603585 ∗ 6141.1724 ∗ (−0.886)

1,878,436,394.94023

S2-Njiloum2 (2019)

18255.1 ∗ 58869398061659300 ∗ 6141.1724 ∗ (−1.473)

16,453,557,989,053,200

S3-Njitout (2019)

18255.04 ∗ 309547810768.523 ∗ 6141.1724 ∗ (−1.13)

1,143,698,653,144.39

S4- Koutaba (2019)

18255.04 ∗ 55603585 ∗ 6161.63 ∗ (−0.903)

79,529,751.9255277

S5-Bafoussam (2019)

13691.28 ∗ 41702688.98 ∗ 6181.94 ∗ (−0.646)

181,480,394.584158

Mean 2019

 

3,290,940,765,430,580