Application of a conceptual method for separating runoff components in daily hydrographs in Kimakia forest catchments, Kenya

Mugo, J.M.; Sharma, T. C.

doi:10.1002/(sici)1099-1085(19991215)13:17<2931::aid-hyp838>3.0.co;2-n

Cited by 18 publications

(20 citation statements)

References 10 publications

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“…In this study, the value of the filter coefficient was carefully chosen based on previous studies which have been compared to either field measurements or traditional hydrograph separation methods. Values of 0.90-0.95 were selected by Nathan and McMahon [44], 0.925 by Arnold et al [1], 0.971-0.985 by Mugo and Sharma [42], and 0.90-0.95 by Eckhardt [16]. Considering that our ultimate goal is the global implementation of the CLMGW model, the digital filter is perhaps the only approach currently suitable for this purpose.…”

Section: Discussionmentioning

confidence: 99%

Constraining water table depth simulations in a land surface model using estimated baseflow

Yeh

Famiglietti

2008

Advances in Water Resources

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a b s t r a c tSeveral recent studies have shown the significance of representing groundwater in land surface hydrologic simulations. However, optimal methods for model parameter calibration in order to realistically simulate baseflow and groundwater depth have received little attention. Most studies still use globally constant groundwater parameters due to the lack of available datasets for calibration. Moreover, when models are calibrated, various parameter combinations are found to exhibit equifinality in simulated total runoff due to model parameter interactions. In this study, a simple lumped groundwater model is incorporated into the Community Land Model (CLM), in which the water table is interactively coupled to soil moisture through the groundwater recharge fluxes. The coupled model (CLMGW) is successfully validated in Illinois using a 22-year (1984-2005) monthly observational dataset. Baseflow estimates from the digital recursive filter technique are used to calibrate the CLMGW parameters. The advantage obtained from incorporating baseflow calibration in addition to traditional calibration based on measured streamflow alone is demonstrated by a Monte Carlo-type simulation analysis. Using the optimal parameter sets identified from baseflow calibration, flow partitioning and water table depth simulations using CLMGW are improved, and the equifinality problem is alleviated. For other regions that lack observations of water table depth, the baseflow calibration approach can be used to enhance parameter estimation and constrain water table depth simulations.

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Section: Discussionmentioning

confidence: 99%

Constraining water table depth simulations in a land surface model using estimated baseflow

Yeh

Famiglietti

2008

Advances in Water Resources

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“…However, Turkey's test revealed that the mean baseflow depth (Qb), interflow depth (Qi) and direct run-off (Qd) from catchment C were significantly higher than those from catchments A (P < 2.2E-03, P < 1.0E-07 and P < 1.0E-03) and M (P < 2.1E-02, P < 3.0E-07 and P < 3.0E-03). As observed by Mugo & Sharma (1999), the undisturbed forest soils in catchment C are covered by organic litter that protects the soil surface and keeps it more permeable to water infiltration, hence the higher baseflow and interflow yield. Indeed, the numerous roots within the soil surface in catchment C would favour preferential flow through macropores, thereby promoting higher storm baseflow and inferflow quantities.…”

Section: Graphically Separated Storm Run-off Componentsmentioning

confidence: 90%

Adaptation of the Natural Resources Conservation Service (NRCS) curve number (CN) model in estimating direct run‐off from humid tropical forest catchments

Mware

Mwasi

Mburu

et al. 2012

Water & Environment J

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Suitability of the Natural Resources Conservation Service (NRCS) curve number (CN) model of run‐off prediction was evaluated on three humid tropical forested catchments in Kimakia, Kenya. The catchments were dominated by Pinus patula (catchment A), Arundinaria alpina (catchment C) and Pennisetum clandestinum (catchment M). The study used discharge and rainfall data collected between 1958 and 1986. Seventy‐three (73) isolated storms were graphically separated into baseflow, interflow and surface run‐off. Forest cover types significantly improved catchments characteristics that influence baseflow and interflow generation in catchment C but not those that influence surface run‐off production. In its original form, the NRCS CN model resulted in direct run‐off estimates that deviated from observed ones by between 43.8% and 55.3%. These discrepancies were minimized through modification of the β and CN parameters. CN generated empirically using storm rainfall predicted the direct run‐off satisfactorily. Therefore, the modified NRCS CN model adequately estimates direct run‐off from humid tropical forested catchments.

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“…Mugo and Sharma [30] showed that the algorithm is capable of producing promising separation results for three humid tropical forested catchments with area from 0.36 to 0.65 km…”

Section: Digital Filtering Processmentioning

confidence: 99%

Seepage Behavior of Earth Dams Considering Rainfall Effects

Lee¹,

Kim²,

Kang

2018

Advances in Civil Engineering

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More than 60% of annual rainfall in Korea is concentrated during the monsoon season from June to August because of the climate characteristics of East Asia. In general, reservoir water levels sharply rise during this period and rock-fill dams are exposed to various types of damages such as soil erosion and piping related to seepage problems. However, the detection of seepage problems is generally more difficult because rainfall directly flows into a V-notch weir according to a downstream shell in which seepage rates can be measured downstream. In this paper, rainfall is filtered out from the measured seepage rates to evaluate the effects of rainfall by using a digital filtering method for two large rock-fill dams (Dams A and B). Seepage behavior for these two large rockfill dams was estimated as a steady-state condition. It has been proven that with the application of a digital filter which filters out rainfall-induced infiltration into a downstream shell from a measured seepage flow would make analyzing the seepage behavior of dams more effective. is also shows that consideration for any rainfall effect on the seepage behavior of earth dams is very important. e seepage rate of Dam A was not significantly affected by rainfall because the seepage water was collected inside the dam body and was transferred to a V-notch weir located downstream from the dam through a steel pipe. On the contrary, the seepage rate of Dam B was greatly influenced by rainfall in the rainy season. Also, the permeability of the core zones for Dams A and B was estimated at 8.5 × 10 −5 cm/sec and 2.7 × 10 −5 cm/sec, respectively, by a simplified method.

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Application of a conceptual method for separating runoff components in daily hydrographs in Kimakia forest catchments, Kenya

Cited by 18 publications

References 10 publications

Constraining water table depth simulations in a land surface model using estimated baseflow

Constraining water table depth simulations in a land surface model using estimated baseflow

Adaptation of the Natural Resources Conservation Service (NRCS) curve number (CN) model in estimating direct run‐off from humid tropical forest catchments

Seepage Behavior of Earth Dams Considering Rainfall Effects

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