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Figure 14. Verification of graphical and numerical correlation between the tested (K,) and the predicted hydraulic conductivity using referemtial geometric mean size K(D,,,) for all samples.

Figure 14 Verification of graphical and numerical correlation between the tested (K,) and the predicted hydraulic conductivity using referemtial geometric mean size K(D,,,) for all samples.

Related Figures (17)

Figure 1. Situation map of Northern Croatia with test sites locations.
Figure 1. Situation map of Northern Croatia with test sites locations.
Figure 3. ae of driving (nm) and drag resistance (n ?/( 1- n°) factor on porosity functior (n°/(1 —n)P
Figure 3. ae of driving (nm) and drag resistance (n ?/( 1- n°) factor on porosity functior (n°/(1 —n)P
Figure 5. Effective porosity (n,) in function of referential mean grain Ding. Note: dot line devides uniform grain deposits U = Dgg/D1) < 2, and medim uniform grain deposits 2 < U < 20. Verified samples of non-uniform grain deposits of sand and gravel (U > 20) lie below the full line.
Figure 5. Effective porosity (n,) in function of referential mean grain Ding. Note: dot line devides uniform grain deposits U = Dgg/D1) < 2, and medim uniform grain deposits 2 < U < 20. Verified samples of non-uniform grain deposits of sand and gravel (U > 20) lie below the full line.
Figure 9. Results of predicted hydraulic conductivity calculated using KC equation for samples from gravely aquifer (test field GW).
Figure 9. Results of predicted hydraulic conductivity calculated using KC equation for samples from gravely aquifer (test field GW).
Figure 11. Graphical correlation between predicted K and tested K, of sand and gravel deposits.
Figure 11. Graphical correlation between predicted K and tested K, of sand and gravel deposits.
Figure 13. Verification of graphical and numerical correlation between the tested (K,) and the predicted hydraulic conductivity K(D,,,) using referential geometric mean grain size for clayey- siltey samples.
Figure 13. Verification of graphical and numerical correlation between the tested (K,) and the predicted hydraulic conductivity K(D,,,) using referential geometric mean grain size for clayey- siltey samples.
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