Rainfall–runoff modelling approach for ungauged catchments: A case study of Nzhelele River sub-quaternary catchment

Makungo, Rachel; Odiyo, John O.; Ndiritu, John; Mwaka, B.

doi:10.1016/j.pce.2010.08.001

Cited by 87 publications

(52 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Especially, FFs could occur in any watershed from small to large, even in subwatersheds, and usually, not all watersheds are gauged. This approach of proximity was supported by some similar studies of Makungo et al [53], Servat and Dezetter [66] and Boughton and Chiew [67].…”

Section: Discussionsupporting

confidence: 60%

See 1 more Smart Citation

Flash Flood Prediction by Coupling KINEROS2 and HEC-RAS Models for Tropical Regions of Northern Vietnam

2015

View full text Add to dashboard Cite

Northern Vietnam is a region prone to heavy flash flooding events. These often have devastating effects on the environment, cause economic damage and, in the worst case scenario, cost human lives. As their frequency and severity are likely to increase in the future, procedures have to be established to cope with this threat. As the prediction of potential flash floods represents one crucial element in this circumstance, we will present an approach that combines the two models KINEROS2 and HEC-RAS in order to accurately predict their occurrence. We used a documented event on 23 June 2011 in the Nam Khat and the larger adjacent Nam Kim watershed to calibrate the coupled model approach. Afterward, we evaluated the performance of the coupled models in predicting flow velocity (FV), water levels (WL), discharge (Q) and streamflow power (P) during the 3-5 days following the event, using two different precipitation datasets from the global spectral model (GSM) and the high resolution model (HRM). Our results show that the estimated Q and WL closely matched observed data with a Nash-Sutcliffe simulation efficiency coefficient (NSE) of around 0.93 and a coefficient of determination (R 2 ) at above 0.96. The resulting analyses reveal strong relationships between river geometry and FV, WL and P. Although there were some minor errors in forecast results, the model-predicted Q and WL corresponded well to the gauged data. OPEN ACCESSHydrology 2015, 2 243

show abstract

Section: Discussionsupporting

confidence: 60%

“…We used the regionalization technique, defined as a method of transferring model parameters from calibrated catchments to ungauged ones of similar characteristics [53], for Nam Khat. The two watersheds are neighbors (Figure 1) and located in the same climatic zone [6].…”

Section: Regionalization Techniquementioning

confidence: 99%

Flash Flood Prediction by Coupling KINEROS2 and HEC-RAS Models for Tropical Regions of Northern Vietnam

2015

View full text Add to dashboard Cite

show abstract

“…1) and are of different surface geology but fall on the Soutpansberg Group (Durowoju, 2015). The study areas are characterised with high temperature variations at various seasons of the year with temperature in winter ranging from 16°C to 22°C and summer ranging from 22°C to 40°C (Makungo et al, 2010). The mean annual rainfall of Nzhelele ranges from 350-400 mm per annum (Makungo et al, 2010).…”

Section: Study Areamentioning

confidence: 99%

“…The study areas are characterised with high temperature variations at various seasons of the year with temperature in winter ranging from 16°C to 22°C and summer ranging from 22°C to 40°C (Makungo et al, 2010). The mean annual rainfall of Nzhelele ranges from 350-400 mm per annum (Makungo et al, 2010). The Siloam spring is found in Nzhelele Valley at Siloam Village which falls under the youngest Formation of the Soutpansberg Group, which is the Sibasa Formation.…”

Section: Study Areamentioning

confidence: 99%

Geochemistry of Siloam and Tshipise Geothermal Springs, Limpopo Province, South Africa

Durowoju¹,

Odiyo²,

Ekosse³

2018

American Journal of Environmental Sciences

View full text Add to dashboard Cite

Geothermal springs are natural geological phenomena that occur throughout the world, and South Africa (SA) is endowed with several springs of this nature. Most of the geothermal springs in SA (31%) are found in Limpopo Province. Assessment of geochemistry of Siloam and Tshipise geothermal springs were undertaken during 2014 winter (May -July) and summer (October -December) seasons. Water samples were collected from the springs and stored at low temperatures (+/-4°C) for analysis of hydrochemical parameters and acidification was carried out before trace metals analyses. The results show that Siloam and Tshipise geothermal springs water are not suitable for drinking due to high pH, high fluoride concentrations and some metals such as Hg, Ni and Pb. Various index methods such as Sodium Percentage (SP), Sodium Absorption Ration (SAR), Residual Sodium Carbonate (RSC), Permeability Index (PI), Kelly's index (KR) and Electrical Conductivity (EC) were used to evaluate groundwater quality for irrigation and most of the index has a similar result. Hence, the spring water is suitable for irrigation purposes. The water type is Na-Cl in both seasons for both site except for Siloam in winter having Na-HCO 3. There were slight variations in the hydrochemical compositions of geothermal spring water, although they were not significant (p>0.05). However, there were significant differences in mean trace elements concentrations in geothermal spring water in summer compared to winter season (p<0.1) for both Siloam and Tshipise springs. This can be attributed to the rainfall in summer which aids in more dissociation of rock particles and the release of more trace elements. Variations in mean trace elements concentrations could also be linked to the differences in fundamental changes in water chemistry from deep sources of the geothermal springs. It has thus been established and/or inferred that the dominant processes controlling the geothermal water are geothermal gradient, silicate weathering, mineral dissolution, cation exchange and inverse cation exchange.

show abstract

“…Usually, hydrology prediction for ungauged areas is necessary (Sivapalan et al 2003;Bocchiola et al 2010;Castiglioni et al 2010;Makungo et al 2010). There are many methods to regionalize hydrological paramefers (Dawson et al 2006;Widén-Nilsson et al 2007;Bastóla et al 2008;Dornes et al 2008;Castiglioni et al 2010).…”

Section: Multi-versus Single-gauge Calibrationmentioning

confidence: 99%

A comparison of single- and multi-gauge based calibrations for hydrological modeling of the Upper Daning River Watershed in China's Three Gorges Reservoir Region

et al. 2012

View full text Add to dashboard Cite

Many parameters in hydrological models cannot be measured directly and should be estimated through calibration, in this study, four separate calibration schemes, including a multi-gauge and three single-gauge ones, were conducted to simulate fhe daily stream flow of the Upper Daning River in China's Three Gorges Reservoir Region using the Soil and Water Assessment Tool (SWAT). A highly efficient calibration technique -the Sequential Uncertainty Fitting version-2 (SUFI-2) procedure -was utilized in the calibration and validation. Results indicated that all four schemes could obtain satisfactory parameter sets, and there were no obvious differences between the simulation results obtained by the multi-and single-gauge calibration schemes in terms of Nash-Sutcliffe efficiency value (ENS). This might be attributed to the uniformly distributed land uses, similar topography variations and the low resolution of soil type map of the study area.

show abstract

Rainfall–runoff modelling approach for ungauged catchments: A case study of Nzhelele River sub-quaternary catchment

Cited by 87 publications

References 29 publications

Flash Flood Prediction by Coupling KINEROS2 and HEC-RAS Models for Tropical Regions of Northern Vietnam

Flash Flood Prediction by Coupling KINEROS2 and HEC-RAS Models for Tropical Regions of Northern Vietnam

Geochemistry of Siloam and Tshipise Geothermal Springs, Limpopo Province, South Africa

A comparison of single- and multi-gauge based calibrations for hydrological modeling of the Upper Daning River Watershed in China's Three Gorges Reservoir Region

Contact Info

Product

Resources

About