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Titlebook: H2Karst Research in Limestone Hydrogeology; Jacques Mudry,Fran?ois Zwahlen,James W. LaMoreaux Book 2014 The Editor(s) (if applicable) and

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樓主: ossicles
21#
發(fā)表于 2025-3-25 06:22:02 | 只看該作者
Enzymatic Modification of DNA and RNA to unknown storage quantities. Missing parameterization in karst catchments at regional scale prevents reliable hydrological modeling of subsurface (unsaturated and saturated) water fluxes; and consequently, climate impact modeling in karst dominated catchments is until today insufficient. The dete
22#
發(fā)表于 2025-3-25 10:31:16 | 只看該作者
23#
發(fā)表于 2025-3-25 15:23:21 | 只看該作者
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發(fā)表于 2025-3-25 19:16:44 | 只看該作者
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發(fā)表于 2025-3-25 23:53:18 | 只看該作者
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發(fā)表于 2025-3-26 03:37:06 | 只看該作者
27#
發(fā)表于 2025-3-26 04:34:57 | 只看該作者
Book 2014entific committee of H2Karst.The book presents latest results on in the field of?groundwater flow and storage within the different subsystems of karst aquifers; insights into the complex interaction between groundwater and surface water in karst areas by a multidisciplinary approach; current knowled
28#
發(fā)表于 2025-3-26 11:25:16 | 只看該作者
https://doi.org/10.1007/978-1-349-11888-5tly accessible, karst aquifers are best approached by study of natural springs, recharge sink points and dye tracing; wells and boreholes are secondary sources. Double continuum and triple porosity designs are most suitable for computer predictive modeling.
29#
發(fā)表于 2025-3-26 13:06:36 | 只看該作者
Jun Hee Lee,Kook Nam Han,Hyun Koo Kim characterize karst at two sinkhole sites near Cheria city where limestone is covered by about 10?m of clayey soils. The survey results suggest that GPR and RESTOM are ideal geophysical tools to aid in the detection and monitoring of sinkholes and other subsurface cavities.
30#
發(fā)表于 2025-3-26 19:35:15 | 只看該作者
Expect the Unexpected! Groundwater Flow in Karstified Carbonate Aquifers,tly accessible, karst aquifers are best approached by study of natural springs, recharge sink points and dye tracing; wells and boreholes are secondary sources. Double continuum and triple porosity designs are most suitable for computer predictive modeling.
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