期刊
JOURNAL OF HYDROLOGY
卷 612, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.jhydrol.2022.128124
关键词
Subsurface heterogeneity; Hydraulic conductivity; Hydraulic profiling tool; Inverse modeling; Hydraulic tomography; Model calibration and validation
资金
- National Natural Science Foundation of China [41807202]
- Natural Sciences and Engineering Research Council of Canada (NSERC)
- Ontario Research Foundation (ORF)
- Canada Foundation for Innovation (CFI)
- Geotech Inc.
The study utilized an inverse modeling approach to estimate K values directly from HPT survey data. It focused on developing site-specific formulae, demonstrating the joint implementation of HPT and HT techniques for high-resolution characterization of subsurface heterogeneity.
Direct-push based hydraulic profiling tool (HPT) and geostatistically-based hydraulic tomography (HT) are two promising techniques for the high-resolution estimation of hydraulic conductivity (K) for unconsolidated sedi-ments. Although HPT surveys could be conducted rapidly, relating the 1.5-cm resolution injection logging profiles to K always involve the upscaling of centimeter-scale measurements to coarser intervals for the devel-opment of site-specific formulae. On the other hand, K fields reconstructed by HT could be smooth when pumping test data are sparse. In this study, an inverse modeling approach was firstly utilized to estimate K values directly from HPT survey data for the glaciofluvial deposits at the North Campus Research Site (NCRS) in Wa-terloo, Ontario, Canada. A site-specific power-law relationship was generated for the NCRS to relate HPT profiles to the vertical distributions of K. Then, the proposed inverse modeling approach was evaluated with a two-dimensional synthetic aquifer under controlled conditions, and the estimated K profiles from inverse analysis of synthetic HPT surveys were incorporated into the steady-state HT. Results of the field study showed that K estimates from the developed formula corresponded better with K values from permeameter tests, than those estimated from the empirical model of McCall and Christy (2010) for HPT surveys. Moreover, through synthetic experiments, we demonstrated that integration of K values inverted from HPT into steady-state HT analyses yielded K tomograms that were significantly better than the geostatistical inversion results relying on pumping test data alone. Overall, this study highlights the need in developing site-specific formulae for the HPT and the joint implementation of HPT and HT techniques for the more cost-effective high-resolution characterization of subsurface heterogeneity.
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