Improved high-resolution characterization of hydraulic conductivity through inverse modeling of HPT profiles and steady-state hydraulic tomography: Field and synthetic studies
文献类型：期刊论文
| 作者 | Zhao, Zhanfeng1,2; Illman, Walter A.2 |
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2022-09-01 |
| 卷号 | 612页码:14 |
| ISSN号 | 0022-1694 |
| 关键词 | Subsurface heterogeneity Hydraulic conductivity Hydraulic profiling tool Inverse modeling Hydraulic tomography Model calibration and validation |
| DOI | 10.1016/j.jhydrol.2022.128124 |
| 通讯作者 | Zhao, Zhanfeng(zhaozhanfeng@igsnrr.ac.cn) |
| 英文摘要 | 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. |
| WOS关键词 | SOLUTE TRANSPORT ; JOINT INVERSION ; AQUIFER ; HETEROGENEITY ; HEAD ; TRANSMISSIVITY ; VALIDATION ; FUSION ; TESTS |
| 资助项目 | 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. |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000874855100002 |
| 资助机构 | National Natural Science Foundation of China ; Natural Sciences and Engineering Research Council of Canada (NSERC) ; Ontario Research Foundation (ORF) ; Canada Foundation for Innovation (CFI) ; Geotech Inc. |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/186076]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhao, Zhanfeng |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China 2.Univ Waterloo, Dept Earth & Environm Sci, Waterloo, ON, Canada |
| 推荐引用方式 GB/T 7714 | Zhao, Zhanfeng,Illman, Walter A.. Improved high-resolution characterization of hydraulic conductivity through inverse modeling of HPT profiles and steady-state hydraulic tomography: Field and synthetic studies[J]. JOURNAL OF HYDROLOGY,2022,612:14. |
| APA | Zhao, Zhanfeng,&Illman, Walter A..(2022).Improved high-resolution characterization of hydraulic conductivity through inverse modeling of HPT profiles and steady-state hydraulic tomography: Field and synthetic studies.JOURNAL OF HYDROLOGY,612,14. |
| MLA | Zhao, Zhanfeng,et al."Improved high-resolution characterization of hydraulic conductivity through inverse modeling of HPT profiles and steady-state hydraulic tomography: Field and synthetic studies".JOURNAL OF HYDROLOGY 612(2022):14. |
入库方式： OAI收割
来源：地理科学与资源研究所
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