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Keywords: poissonian
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Proceedings Papers

Paper presented at the 3rd International Discrete Fracture Network Engineering Conference, June 21–25, 2021
Paper Number: ARMA-DFNE-21-2332
... by 43-77% as clustering increases from D c =2.0 (Poissonian) to D c =1.6 (highly clustered). It is also observed that, as clustering increases, breakthrough curves within each scenario become highly variable; this effect is more pronounced for the late time arrivals and indicates that spatial...

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