A Soil Hydraulic Conductivity Equation Incorporating Adsorption and CapillaritySource: Journal of Geotechnical and Geoenvironmental Engineering:;2023:;Volume ( 149 ):;issue: 008::page 04023056-1DOI: 10.1061/JGGEFK.GTENG-11388Publisher: ASCE
Abstract: A soil’s hydraulic conductivity is a highly nonlinear function of water content, decreasing many orders of magnitude from its saturated state to dry state. This nonlinearity is a macroscopic manifestation of microscopic soil properties of pore structure, pore connectivity, and mineral–water interaction. These microscopic soil properties are underpinned by two distinct soil–water interaction mechanisms: adsorption and capillarity. Herein, a soil hydraulic conductivity equation was developed by incorporating capillary pore flow and adsorptive film flow. The capillary pore flow is captured via a model of bundle of cylindrical capillaries, whereas the adsorptive film flow is established using a film thickness function incorporating adsorption mechanisms of the electric double layer, van der Waals, surface hydration, and cation hydration potentials. The transition between adsorptive film flow and capillary flow is delineated by a water cavitation probability function. The proposed soil hydraulic conductivity equation automatically can fulfill the five necessary physical constraints imposed by underlying soil–water interaction characteristics. The proposed hydraulic conductivity equation can capture the hydraulic conductivity data very well for a wide array of soils, and outperforms several established soil hydraulic models in full matric potential ranges, especially in the low matric potential range in which adsorptive film flow is dominant.
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| contributor author | Lingyun Gou | |
| contributor author | Chao Zhang | |
| contributor author | Ning Lu | |
| contributor author | Shaojie Hu | |
| date accessioned | 2023-11-27T23:28:20Z | |
| date available | 2023-11-27T23:28:20Z | |
| date issued | 5/25/2023 12:00:00 AM | |
| date issued | 2023-05-25 | |
| identifier other | JGGEFK.GTENG-11388.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4293580 | |
| description abstract | A soil’s hydraulic conductivity is a highly nonlinear function of water content, decreasing many orders of magnitude from its saturated state to dry state. This nonlinearity is a macroscopic manifestation of microscopic soil properties of pore structure, pore connectivity, and mineral–water interaction. These microscopic soil properties are underpinned by two distinct soil–water interaction mechanisms: adsorption and capillarity. Herein, a soil hydraulic conductivity equation was developed by incorporating capillary pore flow and adsorptive film flow. The capillary pore flow is captured via a model of bundle of cylindrical capillaries, whereas the adsorptive film flow is established using a film thickness function incorporating adsorption mechanisms of the electric double layer, van der Waals, surface hydration, and cation hydration potentials. The transition between adsorptive film flow and capillary flow is delineated by a water cavitation probability function. The proposed soil hydraulic conductivity equation automatically can fulfill the five necessary physical constraints imposed by underlying soil–water interaction characteristics. The proposed hydraulic conductivity equation can capture the hydraulic conductivity data very well for a wide array of soils, and outperforms several established soil hydraulic models in full matric potential ranges, especially in the low matric potential range in which adsorptive film flow is dominant. | |
| publisher | ASCE | |
| title | A Soil Hydraulic Conductivity Equation Incorporating Adsorption and Capillarity | |
| type | Journal Article | |
| journal volume | 149 | |
| journal issue | 8 | |
| journal title | Journal of Geotechnical and Geoenvironmental Engineering | |
| identifier doi | 10.1061/JGGEFK.GTENG-11388 | |
| journal fristpage | 04023056-1 | |
| journal lastpage | 04023056-17 | |
| page | 17 | |
| tree | Journal of Geotechnical and Geoenvironmental Engineering:;2023:;Volume ( 149 ):;issue: 008 | |
| contenttype | Fulltext |