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Application of the rainfall infiltration breakthrough (RIB) model for groundwater recharge estimation in west coastal South Africa

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dc.contributor.author Sun, X
dc.contributor.author Xu, Y
dc.contributor.author Jovanovic, Nebojsa
dc.contributor.author Kapangaziwiri, Evison
dc.contributor.author Brendonck, L
dc.contributor.author Bugan, Richard DH
dc.date.accessioned 2014-01-24T10:09:51Z
dc.date.available 2014-01-24T10:09:51Z
dc.date.issued 2013-04
dc.identifier.citation Sun, X., Xu, Y., Jovanovic, N., Kapangaziwiri, E., Brendonck, L. and Bugan, R.D.H. 2013. Application of the rainfall infiltration breakthrough (RIB) model for groundwater recharge estimation in west coastal South Africa. Warer SA, vol. 39(2), pp 221-230 en_US
dc.identifier.issn 0378-4738
dc.identifier.uri http://www.wrc.org.za/Pages/DisplayItem.aspx?ItemID=10203&FromURL=%2FPages%2FAllKH.aspx%3Fdt%3D%26ms%3D%26d%3DDocument+Type%26e%3DWater+SA+Manuscript%26start%3D1
dc.identifier.uri http://hdl.handle.net/10204/7170
dc.description Copyright: 2013 Water Research Commission. Published in Water SA, vol. 39(2), pp 221-230 en_US
dc.description.abstract Recharge estimation in arid and semi-arid areas is very challenging. The chloride mass balance method applied in western South Africa fails to provide reliable recharge estimates near coastal areas. A relationship between rainfall events and water level fluctuations (WLF) on a monthly basis was proposed in the rainfall infiltration breakthrough (RIB) model for the purpose of groundwater recharge estimation. In this paper, the physical meaning of parameters in the CRD and previous RIB models is clarified, and the RIB model is reviewed with the algorithm improved to accommodate various time scales, namely, daily, monthly and annual scales. Recharge estimates on a daily and monthly basis using the revised RIB approach in 2 study areas, one in a sandy alluvial aquifer (Riverlands) and the other in the Table Mountain Group (TMG) shallow unconfined aquifer (Oudebosch), are presented, followed by sensitivity analysis. Correlation analysis between rainfall and observed WLF data at daily scale and monthly scale, together with recharge estimates obtained from other methods, demonstrates that the RIB results using monthly data are more realistic than those for daily data, when using long time series. Scenarios using the data from Oudebosch with different rainfall and groundwater abstraction inputs are simulated to explore individual effects on water levels as well as recharge rate estimated on a daily basis. The sensitivity analysis showed that the recharge rate by the RIB model is specifically sensitive to the parameter of specific yield; therefore, the accurate representative specific yield of the aquifer needs to be selected with caution. The RIB model demonstrated in these two cases can be used to estimate groundwater recharge with sufficiently long time series of groundwater level and rainfall available in similar regions. In summary, the RIB model is best suited for shallow unconfined aquifers with relatively lower transmissivity; the utility of the RIB model for application in different climatic areas under different hydrogeological conditions needs to be further explored. en_US
dc.language.iso en en_US
dc.publisher Water Research Commission en_US
dc.relation.ispartofseries Workflow;12039
dc.subject Rainfall infiltration breakthrough en_US
dc.subject RIB en_US
dc.subject RIB model en_US
dc.subject Groundwater recharge estimation en_US
dc.subject Water level fluctuations en_US
dc.subject WLF en_US
dc.subject Shallow unconfined aquifer en_US
dc.subject Groundwater-level fluctuation en_US
dc.subject Table Mountain Group aquifer en_US
dc.title Application of the rainfall infiltration breakthrough (RIB) model for groundwater recharge estimation in west coastal South Africa en_US
dc.type Article en_US


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