The curvature map of the study area is presented in Figure 3(j). Table 12 implied that the curvature is classified into the following five classes: −15 to (−0.76), −0.75 to (−0.31), −0.3 to (−0.02), 0.021–0.35, and 0.36–14, respectively. A positive value of curvature represents a convex surface, zero a flat surface, and a negative value a concave surface (Das 2019). Hudson & Kessel (2000) observed that curvature between 1.0 and 2.0 had a greater probability of flooding. Hence, the probability of flood is very high between the curvature from 1.6 to 22 and very low between −19 and (−2.2), respectively. Similarly, curvature is also an important factor and represents the morphology of the topography (Das 2018).

Table 12

Curvature . | Area (km^{2})
. | Area (%) . |
---|---|---|

−15 to (−0.76) | 1,609.4 | 28.6 |

−0.75 to (−0.31) | 2,064.8 | 36.7 |

−0.3 to (−0.02) | 647.5 | 11.5 |

0.021–0.35 | 909.5 | 16.2 |

0.36–14 | 394.5 | 7 |

Total | 5,625 | 100 |

Curvature . | Area (km^{2})
. | Area (%) . |
---|---|---|

−15 to (−0.76) | 1,609.4 | 28.6 |

−0.75 to (−0.31) | 2,064.8 | 36.7 |

−0.3 to (−0.02) | 647.5 | 11.5 |

0.021–0.35 | 909.5 | 16.2 |

0.36–14 | 394.5 | 7 |

Total | 5,625 | 100 |

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