Geostatistical analysis of high-resolution hydraulic conductivity estimates from the hydraulic profiling tool and integration with hydraulic tomography at a highly heterogeneous field site
文献类型：期刊论文
| 作者 | Zhao, Zhanfeng; Luo, Ning; Illman, Walter A. |
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2023-02-01 |
| 卷号 | 617 |
| 关键词 | Subsurface heterogeneity Hydraulic profiling tool Geostatistical analysis Hydraulic tomography Hydraulic conductivity High resolution characterization |
| ISSN号 | 0022-1694 |
| DOI | 10.1016/j.jhydrol.2023.129060 |
| 文献子类 | Article |
| 英文摘要 | Hydraulic profiling tool (HPT) and hydraulic tomography (HT) have been developed as promising techniques for the high-resolution characterization of surficial aquifer systems. HPT surveys can be rapidly conducted at a resolution of 1.5-cm, but provide only one-dimensional vertical profiles and require site-specific formulae to relate HPT measurements to K. Geostatistics-based HT can estimate three-dimensional distributions of hydraulic parameters, but may fail to provide detailed information and can be smooth when pumping/observation data density is sparse and usually are constrained to the area enclosed by the pumping and observation network. In this study, HPT and HT surveys were conducted at the North Campus Research Site (NCRS) in Waterloo, Ontario, Canada to characterize a glaciofluvial multi-aquifer-aquitard system with permeameter K values spanning nearly seven orders of magnitude. We first performed the geostatistical analysis of K values derived from 11 HPT surveys using the power-law model developed for the NCRS by Zhao and Illman (2022b). Then, the benefits of incorporating HPT K profiles into HT were evaluated for the reconstruction of hydraulic parameter fields. Results showed that the arithmetic mean of 11 HPT K profiles was nearly one order of magnitude higher than that of the 544 permeameter test K measurements. The K fields interpolated by ordinary kriging captured the vertical alternating layering patterns of aquifer and aquitard layers, while they over-predicted the values by nearly one order of magnitude than permeameter K for the top part of the aquifer system. By incorporating the kriged K values as prior means for the geostatistics-based HT, improvements were found in capturing spatial heterogeneity of K fields for areas both inside and outside the well cluster and in drawdown predictions than the inversion case using only pressure head data. The inclusion of vertical variation information of K derived from HPT into HT was also helpful in refining the vertical locations of estimated layer boundaries and introducing intralayer variation patterns of K for both aquifer and aquitard layers. This study demonstrates the potential ability of HT and HPT and advocates the joint use of both techniques for the characterization of subsurface heterogeneity at highly heterogeneous sites such as the NCRS. |
| WOS关键词 | DIRECT-PUSH METHODS ; AQUIFER CHARACTERIZATION ; SPATIAL VARIABILITY ; JOINT INVERSION ; SCALE ; FLOW ; DISPERSION ; TRANSPORT ; SAND ; HEAD |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| WOS记录号 | WOS:000923805000001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/189647]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 作者单位 | 1.Institute of Geographic Sciences & Natural Resources Research, CAS 2.Chinese Academy of Sciences 3.University of Waterloo |
| 推荐引用方式 GB/T 7714 | Zhao, Zhanfeng,Luo, Ning,Illman, Walter A.. Geostatistical analysis of high-resolution hydraulic conductivity estimates from the hydraulic profiling tool and integration with hydraulic tomography at a highly heterogeneous field site[J]. JOURNAL OF HYDROLOGY,2023,617. |
| APA | Zhao, Zhanfeng,Luo, Ning,&Illman, Walter A..(2023).Geostatistical analysis of high-resolution hydraulic conductivity estimates from the hydraulic profiling tool and integration with hydraulic tomography at a highly heterogeneous field site.JOURNAL OF HYDROLOGY,617. |
| MLA | Zhao, Zhanfeng,et al."Geostatistical analysis of high-resolution hydraulic conductivity estimates from the hydraulic profiling tool and integration with hydraulic tomography at a highly heterogeneous field site".JOURNAL OF HYDROLOGY 617(2023). |
入库方式： OAI收割
来源：地理科学与资源研究所
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