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Featured researches published by Jc Smithers.


Hydrological Sciences Journal-journal Des Sciences Hydrologiques | 2014

Review of methods used to estimate catchment response time for the purpose of peak discharge estimation

Ockert J. Gericke; Jc Smithers

Abstract Large errors in peak discharge estimates at catchment scales can be ascribed to errors in the estimation of catchment response time. The time parameters most frequently used to express catchment response time are the time of concentration (TC), lag time (TL) and time to peak (TP). This paper presents a review of the time parameter estimation methods used internationally, with selected comparisons in medium and large catchments in the C5 secondary drainage region in South Africa. The comparison of different time parameter estimation methods with recommended methods used in South Africa confirmed that the application of empirical methods, with no local correction factors, beyond their original developmental regions, must be avoided. The TC is recognized as the most frequently used time parameter, followed by TL. In acknowledging this, as well as the basic assumptions of the approximations TL = 0.6TC and TC ≈ TP, along with the similarity between the definitions of the TP and the conceptual TC, it was evident that the latter two time parameters should be further investigated to develop an alternative approach to estimate representative response times that result in improved estimates of peak discharge at these catchment scales. Editor Z.W. Kundzewicz; Associate editor Qiang Zhang


Hydrological Sciences Journal-journal Des Sciences Hydrologiques | 2009

The development and assessment of a daily rainfall disaggregation model for South Africa

Darryn Knoesen; Jc Smithers

Abstract In this study a daily to hourly rainfall disaggregation model developed in Australia has been modified and applied in South Africa. The structure of the model allows for the generation of 480 different temporal rainfall distributions varying from uniform to very peaked. The model was independently tested at 15 locations in differing climatic regions in South Africa. At each location, observed hourly data were aggregated to yield daily values and were then disaggregated using the methodology. Results show that the model is able to retain the statistical characteristics of the hourly rainfall.


Water SA | 2007

Flood routing in ungauged catchments using Muskingum methods

Mh Tewolde; Jc Smithers


Renewable & Sustainable Energy Reviews | 2014

Review of sugarcane trash recovery systems for energy cogeneration in South Africa

Jc Smithers


Physics and Chemistry of The Earth | 2005

Continuous simulation modelling for design flood estimation in South Africa: Preliminary investigations in the Thukela catchment

Kershani Chetty; Jc Smithers


Journal of Cleaner Production | 2017

Impact of agricultural practices on energy use and greenhouse gas emissions for South African sugarcane production

Scott W. Pryor; Jc Smithers; P. W. L. Lyne; Rianto van Antwerpen


Water SA | 2012

Methods for design flood estimation in South Africa

Jc Smithers


Water SA | 2008

Merged rainfall fields for continuous simulation modelling (CSM)

Frezghi; Jc Smithers


Water SA | 2013

Development and assessment of a daily time-step continuous simulation modelling approach for design flood estimation at ungauged locations: ACRU model and Thukela Catchment case study

Jc Smithers; Kt Chetty; Frezghi; Dm Knoesen; Mh Tewolde


Water SA | 2009

A catchment-scale irrigation systems model for sugarcane part 2: model application

Ng Moult; Nl Lecler; Jc Smithers

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Dm Knoesen

University of KwaZulu-Natal

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Frezghi

University of KwaZulu-Natal

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Mh Tewolde

University of KwaZulu-Natal

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Ng Moult

University of KwaZulu-Natal

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Nl Lecler

University of KwaZulu-Natal

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Darryn Knoesen

University of KwaZulu-Natal

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Dj Clark

University of KwaZulu-Natal

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Jj Nathanael

University of KwaZulu-Natal

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K. Chetty

University of KwaZulu-Natal

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Kershani Chetty

University of KwaZulu-Natal

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