2021
DOI: 10.1029/2020wr029186
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An Analytical Model With a Generalized Nonlinear Water Transfer Term for the Flow in Dual‐Porosity Media Induced by Constant‐Rate Pumping in a Leaky Fractured Aquifer

Abstract: In the past, many mathematical models based on the dual‐porosity (DP) concept were developed to describe the groundwater flow in fractured aquifer systems. Most of them seemingly have problems in predicting accurate drawdown at the early and/or intermediate times as compared with field measured data. Thus, this study proposes a new analytical model with a generalized transfer term (GTT) to describe the flow induced by pumping in such systems. The new model is nonlinear because the GTT representing the matrix‐t… Show more

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Cited by 11 publications
(10 citation statements)
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References 68 publications
(165 reference statements)
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“…According to the results presented by Lin and Yeh (2021), the parameter λ has the effect of decreasing the drawdown in fractures and increasing that in matrix blocks on the pump‐induced DP flow. That means that a larger λ leads to a smaller MTF flux.…”
Section: Resultsmentioning
confidence: 97%
See 2 more Smart Citations
“…According to the results presented by Lin and Yeh (2021), the parameter λ has the effect of decreasing the drawdown in fractures and increasing that in matrix blocks on the pump‐induced DP flow. That means that a larger λ leads to a smaller MTF flux.…”
Section: Resultsmentioning
confidence: 97%
“…Moreover, without loss of generality, Lin and Yeh (2021) proposed a generalized expression called a GTT for the MFT flux that can be transferred from the first‐order to second‐order terms for the fluxes by assigning a weight, λ , from 0 to 1. The GTT can be expressed as normalΓgoodbreak=α()hf2hm+()1goodbreak−hfgoodbreak−hm$$ \Gamma =\alpha \left(\frac{h_f^2}{\leftthreetimes {h}_m+\left(1-\leftthreetimes \right){h}_f}-{h}_m\right) $$ …”
Section: Mathematical Formulationmentioning
confidence: 99%
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“…Sensitivity analysis is carried out to assess the influence of various controlling parameters on drawdown and wellbore flowrate 14,40–42 . In this study, the normalized sensitivity analysis of drawdown is implemented, and the normalized sensitivity coefficient takes the form 40 : Xi,jbadbreak=PjOiPjgoodbreak=PjOi()Pj+normalΔPjOi()PjnormalΔPj,$$\begin{equation}{X^{\prime}_{i,j}} = {P_j}\frac{{\partial {O_i}}}{{\partial {P_j}}} = {P_j}\frac{{{O_i}\left( {{P_j} + \Delta {P_j}} \right) - {O_i}\left( {{P_j}} \right)}}{{\Delta {P_j}}},\end{equation}$$in which Xi,j${X^{\prime}_{i,j}}$ represents the normalized sensitivity due to the change of the j th parameter ( P j ) at the i th time; O i refers to the response of the dimensionless drawdown and the small increment Δ P j = 10 −2 × P j in this study.…”
Section: Resultsmentioning
confidence: 99%
“…Sensitivity analysis is carried out to assess the influence of various controlling parameters on drawdown and wellbore flowrate. 14,[40][41][42] In this study, the normalized sensitivity analysis of drawdown is implemented, and the normalized sensitivity coefficient takes the form 40 :…”
Section: Sensitivity Analysismentioning
confidence: 99%