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. 2022 Jul 5;19(13):8202. doi: 10.3390/ijerph19138202

Table 3.

The gully index of Shadi and the optimum-fit functions.

Gully Number A
(m2)
L
(m)
N H(N) Morphology of Longitudinal Profile Linear Function
(R2)
Exponential Function
(R2)
Logarithm Function
(R2)
Power Function
(R2)
S1 20.13 165.73 1.511 0.319 concave 0.991 * 0.647 0.869 0.942
S2 16.23 128.55 0.933 0.176 convex 0.982 0.935 0.907 0.994 *
S3 26.60 219.15 1.253 0.256 concave 0.965 * 0.831 0.961 0.905
S4 13.19 106.10 0.645 0.106 convex 0.944 0.846 0.972 * 0.959
S5 9.04 72.22 1.306 0.269 concave 0.926 0.828 0.981 * 0.918
S6 20.78 166.68 1.061 0.208 knickpoint 0.969 * 0.805 0.945 0.965
S7 10.90 88.72 0.927 0.175 convex 0.989 * 0.977 0.896 0.991 *
S8 16.53 134.53 0.636 0.104 convex 0.986 * 0.987 * 0.892 0.945
S9 16.68 136.85 1.027 0.200 concave 0.981 0.987 * 0.897 0.990 *
S10 23.43 195.99 1.331 0.275 concave 0.884 * 0.643 0.659 0.498
S11 24.99 206.22 1.344 0.279 knickpoint 0.972 * 0.870 0.893 0.974 *
S12 25.70 202.75 0.888 0.165 knickpoint 0.968 * 0.865 0.772 0.966
S13 23.58 192.10 0.839 0.153 convex 0.976 * 0.843 0.956 0.973
S14 17.45 143.07 0.748 0.131 convex 1.000 * 0.983 0.971 0.999
S15 12.95 105.58 0.912 0.171 convex 0.984 0.853 0.940 0.997 *
S16 24.09 194.02 0.839 0.153 convex 0.975 * 0.973 0.870 0.949
S17 24.62 197.31 2.120 0.458 concave 0.958 0.968 0.840 0.998 *
S18 14.45 116.95 1.498 0.316 concave 0.998 * 0.917 0.981 0.989
S19 12.29 99.36 0.922 0.175 convex 0.938 0.830 0.970 * 0.936
S20 11.36 91.71 1.519 0.321 concave 0.948 0.998 * 0.899 0.981
S21 6.04 50.53 0.771 0.136 convex 0.993 0.925 0.970 0.999 *
S22 24.75 198.16 1.209 0.245 concave 0.978 0.884 0.987 * 0.982
S23 22.57 181.15 1.527 0.323 concave 0.948 * 0.657 0.943 0.762
S24 17.57 147.90 0.760 0.134 convex 0.790 0.938 * 0.406 0.647
S25 5.03 40.82 1.524 0.322 concave 0.997 * 0.936 0.943 0.996
Average 17.64 143.29 1.122 0.223

“*” represents the optimum-fit functions of longitudinal profile.