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An artificial catchment rainfall-runoff collecting system: Design efficiency and reliability potential considering climate change in Western Australia

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  • Baek, C.W.
  • Coles, N.A.

Abstract

Two design issues relating to an artificial catchment rainfall-runoff collecting system (ACRCS) are dealt with in this study; the first is the rainfall-runoff threshold value of an artificial catchment and the second is the definition and determination of the demand-design reliability. The rainfall-runoff threshold value of an artificial catchment, which is the critical element in determining the system efficiency, can be reduced to between 4 and 6mm when surfaces are treated with chemical sealants. The current design threshold for south-western Australia is 10mm. The influence of the time interval on the reliability was reinforced and the results demonstrate that monthly intervals are the most likely to provide appropriate design criteria to satisfy a targeted water demand. The potential to apply an ACRCS to arid and semi-arid areas in Western Australia (WA) is illustrated using the DAMCAT5 model to assess both the rainfall-runoff threshold values and the demand-design reliability criteria.

Suggested Citation

  • Baek, C.W. & Coles, N.A., 2013. "An artificial catchment rainfall-runoff collecting system: Design efficiency and reliability potential considering climate change in Western Australia," Agricultural Water Management, Elsevier, vol. 121(C), pages 124-134.
    • Handle: RePEc:eee:agiwat:v:121:y:2013:i:c:p:124-134
    DOI: 10.1016/j.agwat.2013.01.013
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    References listed on IDEAS

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    Cited by:

    1. Ibrahim M. A. Soliman, 2019. "Forecasting Model of Wheat Yield in Relation to Rainfall Variability in North Africa Countries," International Journal of Food and Beverage Manufacturing and Business Models (IJFBMBM), IGI Global, vol. 4(2), pages 1-17, July.
    2. Nam, Won-Ho & Choi, Jin-Yong, 2014. "Development of an irrigation vulnerability assessment model in agricultural reservoirs utilizing probability theory and reliability analysis," Agricultural Water Management, Elsevier, vol. 142(C), pages 115-126.
    3. Nam, Won-Ho & Choi, Jin-Yong & Hong, Eun-Mi, 2015. "Irrigation vulnerability assessment on agricultural water supply risk for adaptive management of climate change in South Korea," Agricultural Water Management, Elsevier, vol. 152(C), pages 173-187.

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