Matches in SemOpenAlex for { <https://semopenalex.org/work/W2894804593> ?p ?o ?g. }
- W2894804593 endingPage "5095" @default.
- W2894804593 startingPage "5081" @default.
- W2894804593 abstract "Abstract. Hydrological models play an important role in water resources management. These models generally rely on discharge data for calibration. Discharge time series are normally derived from observed water levels by using a rating curve. However, this method suffers from many uncertainties due to insufficient observations, inadequate rating curve fitting procedures, rating curve extrapolation, and temporal changes in the river geometry. Unfortunately, this problem is prominent in many African river basins. In this study, an alternative calibration method is presented using water-level time series instead of discharge, applied to a semi-distributed rainfall-runoff model for the semi-arid and poorly gauged Mara River basin in Kenya. The modelled discharges were converted into water levels using the Strickler–Manning formula. This method produces an additional model output; this is a “geometric rating curve equation” that relates the modelled discharge to the observed water level using the Strickler–Manning formula and a calibrated slope-roughness parameter. This procedure resulted in good and consistent model results during calibration and validation. The hydrological model was able to reproduce the water levels for the entire basin as well as for the Nyangores sub-catchment in the north. The newly derived geometric rating curves were subsequently compared to the existing rating curves. At the catchment outlet of the Mara, these differed significantly, most likely due to uncertainties in the recorded discharge time series. However, at the “Nyangores” sub-catchment, the geometric and recorded discharge were almost identical. In conclusion, the results obtained for the Mara River basin illustrate that with the proposed calibration method, the water-level time series can be simulated well, and that the discharge-water-level relation can also be derived, even in catchments with uncertain or lacking rating curve information." @default.
- W2894804593 created "2018-10-12" @default.
- W2894804593 creator A5019243789 @default.
- W2894804593 creator A5082565717 @default.
- W2894804593 creator A5087930731 @default.
- W2894804593 date "2018-10-02" @default.
- W2894804593 modified "2023-10-12" @default.
- W2894804593 title "Rainfall-runoff modelling using river-stage time series in the absence of reliable discharge information: a case study in the semi-arid Mara River basin" @default.
- W2894804593 cites W1502190839 @default.
- W2894804593 cites W1505551852 @default.
- W2894804593 cites W1843672018 @default.
- W2894804593 cites W1887042299 @default.
- W2894804593 cites W1920448753 @default.
- W2894804593 cites W1938086845 @default.
- W2894804593 cites W1949692868 @default.
- W2894804593 cites W1973964369 @default.
- W2894804593 cites W1998195322 @default.
- W2894804593 cites W2004883664 @default.
- W2894804593 cites W2005494734 @default.
- W2894804593 cites W2006743190 @default.
- W2894804593 cites W2007318060 @default.
- W2894804593 cites W2010908680 @default.
- W2894804593 cites W2033904036 @default.
- W2894804593 cites W2035713012 @default.
- W2894804593 cites W2047763594 @default.
- W2894804593 cites W2047877518 @default.
- W2894804593 cites W2051514334 @default.
- W2894804593 cites W2063405257 @default.
- W2894804593 cites W2073668007 @default.
- W2894804593 cites W2077629914 @default.
- W2894804593 cites W2079628820 @default.
- W2894804593 cites W2079797103 @default.
- W2894804593 cites W2082138739 @default.
- W2894804593 cites W2090893726 @default.
- W2894804593 cites W2094040832 @default.
- W2894804593 cites W2095965451 @default.
- W2894804593 cites W2099812305 @default.
- W2894804593 cites W2103316487 @default.
- W2894804593 cites W2109425486 @default.
- W2894804593 cites W2111040662 @default.
- W2894804593 cites W2120674805 @default.
- W2894804593 cites W2124228080 @default.
- W2894804593 cites W2125294001 @default.
- W2894804593 cites W2127864697 @default.
- W2894804593 cites W2130754602 @default.
- W2894804593 cites W2131321805 @default.
- W2894804593 cites W2142212445 @default.
- W2894804593 cites W2144547917 @default.
- W2894804593 cites W2145955410 @default.
- W2894804593 cites W2147746661 @default.
- W2894804593 cites W2147938188 @default.
- W2894804593 cites W2155702905 @default.
- W2894804593 cites W2158260560 @default.
- W2894804593 cites W2165201237 @default.
- W2894804593 cites W2233510150 @default.
- W2894804593 cites W2408447390 @default.
- W2894804593 cites W2572126400 @default.
- W2894804593 cites W2589010086 @default.
- W2894804593 cites W2591483841 @default.
- W2894804593 doi "https://doi.org/10.5194/hess-22-5081-2018" @default.
- W2894804593 hasPublicationYear "2018" @default.
- W2894804593 type Work @default.
- W2894804593 sameAs 2894804593 @default.
- W2894804593 citedByCount "8" @default.
- W2894804593 countsByYear W28948045932019 @default.
- W2894804593 countsByYear W28948045932020 @default.
- W2894804593 countsByYear W28948045932022 @default.
- W2894804593 countsByYear W28948045932023 @default.
- W2894804593 crossrefType "journal-article" @default.
- W2894804593 hasAuthorship W2894804593A5019243789 @default.
- W2894804593 hasAuthorship W2894804593A5082565717 @default.
- W2894804593 hasAuthorship W2894804593A5087930731 @default.
- W2894804593 hasBestOaLocation W28948045931 @default.
- W2894804593 hasConcept C105795698 @default.
- W2894804593 hasConcept C109007969 @default.
- W2894804593 hasConcept C114793014 @default.
- W2894804593 hasConcept C124203675 @default.
- W2894804593 hasConcept C126645576 @default.
- W2894804593 hasConcept C127313418 @default.
- W2894804593 hasConcept C132459708 @default.
- W2894804593 hasConcept C143724316 @default.
- W2894804593 hasConcept C150772632 @default.
- W2894804593 hasConcept C151730666 @default.
- W2894804593 hasConcept C165838908 @default.
- W2894804593 hasConcept C187320778 @default.
- W2894804593 hasConcept C18903297 @default.
- W2894804593 hasConcept C205649164 @default.
- W2894804593 hasConcept C2816523 @default.
- W2894804593 hasConcept C33923547 @default.
- W2894804593 hasConcept C39432304 @default.
- W2894804593 hasConcept C50477045 @default.
- W2894804593 hasConcept C58640448 @default.
- W2894804593 hasConcept C76886044 @default.
- W2894804593 hasConcept C81660378 @default.
- W2894804593 hasConcept C86803240 @default.
- W2894804593 hasConcept C87027312 @default.
- W2894804593 hasConceptScore W2894804593C105795698 @default.
- W2894804593 hasConceptScore W2894804593C109007969 @default.