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

机译:降雨入渗突破(RIB)模型在南非西海岸地下水补给量估算中的应用

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摘要

Recharge estimation in arid and semi-arid areas is very challenging. The chloride mass balance method applied in westernSouth Africa fails to provide reliable recharge estimates near coastal areas. A relationship between rainfall events and waterlevel fluctuations (WLF) on a monthly basis was proposed in the rainfall infiltration breakthrough (RIB) model for thepurpose of groundwater recharge estimation. In this paper, the physical meaning of parameters in the CRD and previousRIB 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 approachin 2 study areas, one in a sandy alluvial aquifer (Riverlands) and the other in the Table Mountain Group (TMG) shallowunconfined aquifer (Oudebosch), are presented, followed by sensitivity analysis. Correlation analysis between rainfalland 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 timeseries. Scenarios using the data from Oudebosch with different rainfall and groundwater abstraction inputs are simulated toexplore individual effects on water levels as well as recharge rate estimated on a daily basis. The sensitivity analysis showedthat the recharge rate by the RIB model is specifically sensitive to the parameter of specific yield; therefore, the accuraterepresentative specific yield of the aquifer needs to be selected with caution. The RIB model demonstrated in these two casescan be used to estimate groundwater recharge with sufficiently long time series of groundwater level and rainfall available insimilar regions. In summary, the RIB model is best suited for shallow unconfined aquifers with relatively lower transmissiv-ity; the utility of the RIB model for application in different climatic areas under different hydrogeological conditions needsto be further explored.
机译:干旱和半干旱地区的补给估算非常具有挑战性。南非西部使用的氯化物质量平衡方法无法提供沿海地区附近可靠的补给估算。为了估算地下水的补给量,在降雨入渗突破(RIB)模型中提出了每月降雨事件与水位波动(WLF)之间的关系。在本文中,阐明了CRD和以前的RIB模型中参数的物理含义,并使用改进的算法对RIB模型进行了回顾,以适应各种时间尺度,即日,月和年尺度。提出了使用修正后的RIB方法在2个研究区域中进行的每日和每月补给估算,其中一个是沙质冲积含水层(Riverlands),另一个是桌山群(TMG)浅层无限制含水层(Oudebosch),然后进行敏感性分析。日和月尺度的降雨与观测到的WLF数据之间的相关性分析,以及通过其他方法获得的补给估算值,证明了使用长时间序列时,使用月数据的RIB结果比每日数据的RIB结果更真实。使用来自Oudebosch的数据并结合不同的降雨和地下水抽取模拟了各种情景,以探索对水位以及每日估算补给率的个别影响。敏感性分析表明,RIB模型的补给率对比产率参数特别敏感。因此,必须谨慎选择含水层的精确代表比产量。在这两种情况下证明的RIB模型可用于估算在类似地区的地下水位和降雨有足够长的时间序列的情况下的地下水补给量。综上所述,RIB模型最适合于透射率相对较低的浅层无限制含水层。 RIB模型在不同水文地质条件下的不同气候地区应用的实用性有待进一步探索。

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