Marco Bianchi, Ph.D.
Affiliations: | 2010 | Geology | The University of Alabama, Tuscaloosa, AL |
Area:
Geology, Hydrology, Environmental EngineeringGoogle:
"Marco Bianchi"Mean distance: (not calculated yet)
Cross-listing: Envirotree
Parents
Sign in to add mentorChunmiao Zheng | grad student | 2010 | University of Alabama | |
(Solute transport in aquifers characterized by small-scale preferential flowpaths: Numerical modeling and field experimental studies.) |
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Publications
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Collins S, Bianchi M. (2020) DISOLV: A Python package for the interpretation of borehole dilution tests. Ground Water |
Yin M, Zhang Y, Ma R, et al. (2020) Super-diffusion affected by hydrofacies mean length and source geometry in alluvial settings Journal of Hydrology. 582: 124515 |
Pedretti D, Bianchi M. (2019) Preliminary results from the use of entrograms to describe transport in fractured media Acque Sotterranee-Italian Journal of Groundwater |
Brunetti C, Bianchi M, Pirot G, et al. (2019) Hydrogeological Model Selection Among Complex Spatial Priors Water Resources Research. 55: 6729-6753 |
Bianchi M, Pedretti D. (2018) An Entrogram‐Based Approach to Describe Spatial Heterogeneity With Applications to Solute Transport in Porous Media Water Resources Research. 54: 4432-4448 |
Pedretti D, Bianchi M. (2018) Reproducing tailing in breakthrough curves: Are statistical models equally representative and predictive? Advances in Water Resources. 113: 236-248 |
Tamayo-Mas E, Bianchi M, Mansour M. (2018) Impact of model complexity and multi-scale data integration on the estimation of hydrogeological parameters in a dual-porosity aquifer Hydrogeology Journal. 26: 1917-1933 |
Bianchi M. (2017) Validity of flowmeter data in heterogeneous alluvial aquifers Advances in Water Resources. 102: 29-44 |
Bianchi M, Pedretti D. (2017) Geological entropy and solute transport in heterogeneous porous media Water Resources Research. 53: 4691-4708 |
Bianchi M, Zheng L, Birkholzer JT. (2016) Combining multiple lower-fidelity models for emulating complex model responses for CCS environmental risk assessment International Journal of Greenhouse Gas Control. 46: 248-258 |