Research Article

Assessing Rainfall Erosivity with Artificial Neural Networks for the Ribeira Valley, Brazil

Table 1

Altitude, latitude, longitude, annual precipitation, and erosivity of 32 municipalities of the Ribeira Valley and Coastal region of the State of São Paulo.

MunicipalityAlt. (m)Lat.Long.Annual precipitation (mm) [7] MJ mm

Apiaí87024.4248.651613.538612
Barra do Chapéu77024.4749.021506.128029
Barra do Turvo66024.9748.331986.2010320
Bertioga323.8462295.7011455
Cajati8024.7848.181492.188848
Cananéia724.9347.952410.0912410
Cubatão523.8746.382774.8313075
Eldorado2024.5248.11602.269273
Guarujá223.9546.32005.7410469
Iguape624.747.531567.588401
Ilha Comprida224.947.82299.1611469
Itanhaém75023.9546.81950.919746
Itaoca18024.6548.831327.627467
(14) Itapirapuã58024.5749.171549.348323
(15) Itariri5024.2847.182249.4311887
(16) Jacupiranga9024.7248.021506.098673
(17) Juquiá2024.147.681794.729768
(18) Juquitiba73023.9746.91897.2410496
(19) Miracatu3024.2547.371582.489765
(20) Mongaguá2024.0846.622612.1112685
(21) Pariquera Açu3024.7247.881535.128697
(22) Pedro de Toledo6024.2847.231521.218594
(23) Peruíbe324.3247.022121.7012029
(24) Praia Grande1024.0346.552655.4713188
(25) Registro6024.447.751760.539702
(26) Ribeira16024.6549.021343.887470
(27) Santos20023.8846.223615.3815919
(28) São Lourenço89023.7846.931567.339409
(29) São Sebastião2023.7745.421305.287988
(30) São Vicente1023.9746.372432.4512015
(31) Sete Barras2024.3847.931582.538921
(32) Tapiraí87023.9747.51819.589764

Maximum value890.00024.97049.1703615.38015919.000
Minimum value2.00023.77045.4201305.2807467.000
Average value225.25024.31347.4571915.11810152.094
Standard deviation324.7300.3710.957518.3011973.046