| dc.creator |
Ndomba, Preksedis M. |
|
| dc.creator |
Killingtveit, A. |
|
| dc.date |
2016-03-23T06:28:09Z |
|
| dc.date |
2016-03-23T06:28:09Z |
|
| dc.date |
2008-05-16 |
|
| dc.date.accessioned |
2018-03-27T08:40:39Z |
|
| dc.date.available |
2018-03-27T08:40:39Z |
|
| dc.identifier |
Ndomba P., Mtalo F., & Killingtveit A. (2008). Developing an excellent Sediment rating Curve from one Hydrological year sampling programme data approach. Journal of Urban and Environmental Engineering Vol.2 Nr 1 pp.21-27 (2008) doi:10.4090/juee.2008 v2nl.021027 ISSN 1982-3932 |
|
| dc.identifier |
1982-3932 |
|
| dc.identifier |
http://hdl.handle.net/123456789/1225 |
|
| dc.identifier |
10.4090/juee.2008 v2nl.021027 |
|
| dc.identifier.uri |
http://hdl.handle.net/123456789/3040 |
|
| dc.description |
This paper presents preliminary findings on the adequacy of one hydrological year
sampling programme data in developing an excellent sediment rating curve. The study
case is a 1DD1 subcatchment in the upstream of Pangani River Basin (PRB), located in
the North Eastern part of Tanzania. 1DD1 is the major runoff-sediment contributing
tributary to the downstream hydropower reservoir, the Nyumba Ya Mungu (NYM). In
literature sediment rating curve method is known to underestimate the actual sediment
load. In the case of developing countries long-term sediment sampling monitoring or
conservation campaigns have been reported as unworkable options. Besides, to the best
knowledge of the authors, to date there is no consensus on how to develop an excellent
rating curve. Daily-midway and intermittent-cross section sediment samples from
Depth Integrating sampler (D-74) were used to calibrate the subdaily automatic
sediment pumping sampler (ISCO 6712) near bank point samples for developing the
rating curve. Sediment load correction factors were derived from both statistical bias
estimators and actual sediment load approaches. It should be noted that the ongoing
study is guided by findings of other studies in the same catchment. For instance, long
term sediment yield rate estimated based on reservoir survey validated the performance
of the developed rating curve. The result suggests that excellent rating curve could be
developed from one hydrological year sediment sampling programme data. This study
has also found that uncorrected rating curve underestimates sediment load. The degree
of underestimation depends on the type of rating curve developed and data used. |
|
| dc.language |
en |
|
| dc.publisher |
Universidade Federal da Paraíba |
|
| dc.subject |
Actual sediment load |
|
| dc.subject |
sediment rating curve |
|
| dc.subject |
sediment sampling programme |
|
| dc.subject |
statistical bias estimator |
|
| dc.subject |
sediment load correction factor |
|
| dc.title |
Developing an Excellent Sediment Rating Curve from one Hydrological Year Sampling Programme Data Approach |
|
| dc.type |
Journal Article, Peer Reviewed |
|