Developing Sediment Yield Prediction Equations for Small Catchments in Tanzania - Advances in Data, Methods, Models and Their Applications in Geoscience - page 256

Dodoma,
Shinyanga,
& Singida

508.42 -
663.8

0.3712 -
0.4914

18 580 0.4313 SF = 580A 0.4313 0.4586

0.0636 -
0.3288

Dodoma 13 471 - 815 619.6 0.1962 SF = 619.6A 0.1962 0.5708

505 -
802.8

0.2989-
0.4745

Tabora 17* 637.2 0.3867 SF = 637.2A 0.3867 0.7591

333.43 -
31974.22

0.4609 -
0.5613

Arusha 11 3264.37 0.511 SF = 3264.4A 0.511 0.7689

All regions
analyzed**

439.2 -
632.27

0.3824 -
0.4802

41 556.16 0.4313 SF = 556.2A 0.4313 0.7318

Note:
* Only 70% of data points for Tabora region were used to fit the regression relationship. Thirty percent
(30%), i.e. 7 data points were used for validation purposes.
** The data for Arusha region was not included in fitting the regression for all regions (i.e. dry and
moderate climatic zone) as it presents itself with unique soil/erodibility characteristics as discussed
under section 2.1 of this chapter..
Table 3.2.2. A summary of developed sediment fill-yield prediction equations for small
catchments in Tanzania