Suitability of SWAT Model for Sediment Yields Modelling in the Eastern Africa - Advances in Data, Methods, Models and Their Applications in Geoscience - page 271

Suspended
sediment
concentrations
[mg/l]

Base
Gauge
Height
[m]

Stream
flow
discharge
[m 3 /s]

Sediment
load,
[t/day]

Fall,
[m]

Statistic

No. Of data points 288 288 288 288 288

Average 54.9 0.724 0.098 4.025 19.1

Minimum 2.8 0.420 0.025 2.885 1

Maximum 830.0 2.270 0.190 12.227 359

Standard deviation 75.5 0.28 0.014 1.12 34.91

Standard Error of the
Mean (SEM)

4.45 0.02 0.001 0.07 2.06

T able 2a-3. Daily suspended sediment flow data for the Nyumba Ya Mungu Reservoir
catchment in the upstream part of the Pangani River catchment at the 1DC1-Ruvu site
sampled using DH-48 sampler sampled at 9.00 hrs between April 19, 2005 and January 31,
2006
Note: (1) Fall signifies measured water gauge height difference between Base and Auxiliary
gauging stations; and (2) Stream flow discharge data were derived from complex rating
curve (Ndomba, 2007).

SN Resolution

Spatial Temporal

No. of
stations

Data
availability

%
missing

Data type Source

1. Rainfall 13 1928-2003 8.8-69.8 MoWI/ TMA - Daily/

hourly

2. Climate 2 1970-1984 3.4-21 MoWI/ TMA - Daily

3. Flows 1 1969-2000 46 MoWI - Daily

4. DEM - 2010 - ASTER 30 m -

5. Landuse 2010 - GLCC 1 km -

6. Soil - 2010 - FAO/SOTER

SAF

10 km -

7. Sediment

load

1 1999-2003 0 UDSM - Daily

intermi-
ttent

Table 2b-1. Data types and sources for the Simiyu River catchment
Note: ASTER: Advanced Space borne Thermal Emission and Reflection Radiometer; GLCC:
Global Land Cover Charactersization; SOTERSAF: Soil Terrain Database for Southern
Africa; FAO: Food and Agricultural Organization.