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Saturday, May 16, 2020 | History

3 edition of Estimation of flow characteristics of ungauged catchments found in the catalog.

Estimation of flow characteristics of ungauged catchments

Dominic Mazvimavi

Estimation of flow characteristics of ungauged catchments

case study in Zimbabwe

by Dominic Mazvimavi

  • 232 Want to read
  • 10 Currently reading

Published by ITC in [Enschede] .
Written in English

    Places:
  • Zimbabwe.,
  • Zimbabwe
    • Subjects:
    • Stream measurements -- Zimbabwe.,
    • Runoff -- Zimbabwe -- Mathematical models.

    • Edition Notes

      StatementDominic Mazvimavi.
      SeriesITC dissertation ;, no. 107, ITC publication (Enschede, Netherlands) ;, no. 107.
      Classifications
      LC ClassificationsGB1373.Z55 M28 2003
      The Physical Object
      Paginationviii, 176 p. :
      Number of Pages176
      ID Numbers
      Open LibraryOL3349507M
      ISBN 109058089509
      LC Control Number2004364848
      OCLC/WorldCa56663057

      Abstract. The problem of parameter estimation constitutes the largest obstacle to successful applica-tion of conceptual catchment models in ungauged catchments. This paper investigates the usefulness of a conceptual water balance model for simulating river flow from catchments covering a wide variety of climatic and physiographic areas. In Indian context, several researchers [2, 24, 25] have applied indirect methodologies for estimation of discharge of several ungauged catchments. Flood is a natural phenomenon in the West Bengal. The state with a geographical area of km 2 occupies % of India’s land and supports % (census, ) of total Indian by:

      Four regionalization techniques including area-index, inverse distance weighted (IDW), kriging, and stepwise regression were applied on 32 catchments in India to estimate daily streamflow. Each catchment was considered as ungauged in turn during regionalization. The area-index method was dependent upon the drainage area of the catchment. Estimation of flow of ungauged catchments is usually based on transferring or extrapolating information from gauged to ungauged site, a process called ‘Regionalization’. The area ratio, spatial proximity, sub-basin mean and regional model regionalization methods are used to predict discharges from ungauged catchments.

      catchments though are likely to share similar climatic characteristics but may exhibit quite different physical characteristics. Rahman () presented a QRT for south-east Australia which provides reasonably accurate design flood estimates for ungauged catchments . Quantification of streamflow characteristics in ungauged catchments remains a challenge. Hydrological modeling is often used to derive flow time series and to calculate streamflow characteristics for subsequent applications that may differ from those envisioned by the modelers. While the estimation of model parameters for ungauged catchments is.


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Estimation of flow characteristics of ungauged catchments by Dominic Mazvimavi Download PDF EPUB FB2

Estimation of Flow Characteristics of Ungauged Catchments Case Study in Zimbabwe Dominic MAZVIMAVI Thesis to fulfil the requirements for the degree of doctor on the authority of the rector magnificus of Wageningen University L.

Speelman to be publicly defended on 18 December at hours in the auditorium of ITC, Enschede. Estimation of flow characteristics of ungauged catchments: a case study in Zimbabwe: Series: ITC Dissertation, Wageningen University and Research Centre (WUR) Author: Mazvimavi, D.

Thesis advisor: Stein, Alfred, Meijerink, A.M.J. Publisher: Faculty of Geo-Information Science and Earth Observation, Department of Earth Observation Science Cited by: Estimation of flow characteristics of ungauged catchments: a case study in Zimbabwe.

Wageningen: Wageningen University and Research Centre (WUR). Wageningen: Wageningen University and Research Centre (WUR).Cited by: Catchment characteristics of the ungauged and gauged river depend on the area, elevation, main stream length, slope, stream frequency, drainage density, proportion of catchment area under Estimation of flow characteristics of ungauged catchments book Author: Dominic Mazvimavi.

This paper describes the development and derivation of a methodology for estimating low flow characteristics and yield in small ungauged rural catchments.

The methodology has been applied to Cited by: Hydrological model parameters were satisfactorily estimated for four validation catchments within the region using physical catchment properties. The results indicated that the technique is likely to offer a viable method for estimating flows of ungauged semi-arid catchments and the impact of land use and climate change on water by:   A regional model was proposed by coupling a Kohonen neural network (KNN) and distributed Water Balance Simulation Model (WaSiM-ETH) to estimate flow in ungauged basin.

KNN was used to delineate a hydrological homogeneous group based on predefined physical characteristics of catchments and WaSiM-ETH was applied to generate daily stream by: Estimating low flow characteristics in ungauged catchments.

Streamflow Q estimation in ungauged catchments is one of the greatest challenges facing hydrologists. Observed Q from to small-to-medium-sized catchments (10–10 km 2) around the globe were used to train neural network ensembles to estimate Q characteristics based on climate and physiographic characteristics of the catchments.

In total, 17 Q characteristics were Cited by: Continuous streamflow regionalization in ungauged catchments is contemplated as a challenging task. In a developing country like India where the subject of prediction in ungauged basins (PUB) is. In order to predict flow magnitudes in ungauged catchments of Rwanda, the mean-daily, 5-,and percent-flow duration (Qmean, Q5, Q50, Q95,) in addition to the slope of the flow duration curve (FDCslp) were estimated for the nine gauging by: 4.

In Turkey the experience and data required for a hydrological model setup is limited and very often not available. Moreover there are many ungauged catchments where there are also many planned projects aimed at utilization of water resources including development of existing hydropower potential.

This situation makes runoff prediction at locations with lack of data and ungauged locations Author: E. Kentel, N. Dogulu. The problem of parameter estimation constitutes the largest obstacle to successful application of conceptual catchment models in ungauged catchments.

This The model is a 6-parameter water balance model which was applied to 26 seasonally snow covered catchments in Cited by: A standard procedure for obtaining the best possible estimation of low flow indices in ungauged catchments is needed.

In this paper, two methods are studied: multiple regression and precipitation–runoff modelling. Regression techniques aim to establish regression equations between low flow indices and catchment Size: 1MB.

resource assessments are required for ungauged catchments, resulting in the development of regional models for predicting flow statistics within such catchments. There are numerous examples in the literature of regional models for estimating the FDC (or characteristic low flow indices such as the Q95 flow, i.e.

the flow equalled or. Flood estimation for small catchments D C W Marshall & A C Bayliss June Institute of Hydrology A catchment's flood response to rainfall may ungauged catchment in a simple triangular have to be quantified for a variety of reasons.

form. essentially a graph of flow The catchment characteristics. Traditional techniques for design flood estimation use historical rainfall-runoff data and unit hydrographs derived from them. Such procedures are questioned for their reliability due to the climatic and physical changes in the watershed and their application to ungauged areas.

Regional Flow Duration Curve Estimation and its Application in Assessing Low Flow Characteristics for Ungauged Catchment. A Case Study of Rwegura Catchment-Burundi Joel Nobert1, Jackson Ndayizeye2, Simon Mkhandi3 1 University of Dar es Salaam, Water Resources Engineering, BoxDar es Salaam, Tanzania.

River stage or flow rates are required for the design and evaluation of hydraulic structures. Most river reaches are ungauged and a methodology is needed to estimate the stages, or rates of flow, at specific locations in streams where no measurements are available. Flood routing techniques are utilised to estimate the stages, or rates of flow, in order to predict flood wave propagation along 5/5(2).

In the second step, a regional regression model is developed by (i) predicting the statistical distribution parameters for ungauged catchments from the physiographic and climatic characteristics. techniques are utilised to estimate the stages, or rates of flow, in order to predict flood wave propagation along river reaches.

Models can be developed for gauged catchments and their parameters related to physical characteristics such as slope, reach width, reach length so that the approach can be applied to ungauged catchments in the region.Estimation of design flow is necessary in many tasks associated with water resources management and engineering.

As planning areas in water resources projects are often ungauged, regional analysis is used to solve this problem. The hydrologic regionalization technique is to infer required data in ungauged catchments from.The researchers estimated the river flow of Sta.

Lucia River in Quezon province, which is the ungauged catchment. The researchers assessed 11 gauged catchments and determined which basin could be correlated to Sta. Lucia. After finding the most correlated basin, the researchers used the data considering adjusted parameters of the gauged by: 1.