papers Improving predictions of solute transport in a laboratory sandbox aquifer through high-resolution characterization with hydraulic tomography
文献类型：期刊论文
| 作者 | Zhao, Zhanfeng1,2; Berg, Steven J.1,3; Illman, Walter A.1; Qi, Youcun2 |
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2022-12-01 |
| 卷号 | 615页码:20 |
| 关键词 | Aquifer heterogeneity Solute transport Hydraulic tomography Geological model Dipole tracer test Hydrodynamic dispersion Longitudinal and transverse dispersivity |
| ISSN号 | 0022-1694 |
| DOI | 10.1016/j.jhydrol.2022.128673 |
| 通讯作者 | Zhao, Zhanfeng(zhaozhanfeng@igsnrr.ac.cn) |
| 英文摘要 | Hydraulic tomography (HT) has been developed over the last two decades to image subsurface heterogeneity at high resolution that is critically important to robust solute transport predictions. In this study, HT based on two concepts (i.e., geological zonation and geostatistical inversion models) was utilized to characterize the K dis-tribution of a laboratory sandbox aquifer at different parameter resolutions. We compared the estimated K fields for predicting independent pumping tests and solute transport using the classical advection-dispersion equation (ADE). The impact of using geological zonation models of varying accuracy for HT analyses was investigated. Results revealed that, when being calibrated to datasets from multiple pumping tests, geological zonation models that faithfully represented the true stratigraphy predicted groundwater flow satisfactorily. The deterministic K field of the calibrated reliable geological zonation models satisfactorily reproduced the preferential migration path of the observed tracer plume, and the breakthrough curves (BTCs) at sampling ports. With further resolving the inter-and intra-layer heterogeneity, the reconstructed K fields by HT better predicted both migrating plumes and BTCs for two conservative tracer tests. The estimated dispersivity values for ADE only resulted in slight improvements in the fitting between observed and simulated solute tracer data. It also demonstrated the need of integrating reliable geological information into the geostatistical inversion approach to reproduce geological structures in K fields. Our study suggested the proper consideration of geological zonation between boreholes during field implementation of HT to yield improved solute transport results. |
| WOS关键词 | NATURAL GRADIENT EXPERIMENT ; TRACER TESTS ; HETEROGENEOUS AQUIFER ; MASS-TRANSFER ; MACRODISPERSION EXPERIMENT ; SENSITIVITY-ANALYSIS ; STOCHASTIC-ANALYSIS ; GROUNDWATER-FLOW ; SCALE DISPERSION ; POROUS-MEDIA |
| 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) |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000895769200001 |
| 出版者 | ELSEVIER |
| 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) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/187891]  |
| 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.Univ Waterloo, Dept Earth & Environm Sci, Waterloo, ON, Canada 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China 3.Aquanty Inc, 600 Weber St N,Unit B, Waterloo, ON, Canada |
| 推荐引用方式 GB/T 7714 | Zhao, Zhanfeng,Berg, Steven J.,Illman, Walter A.,et al. papers Improving predictions of solute transport in a laboratory sandbox aquifer through high-resolution characterization with hydraulic tomography[J]. JOURNAL OF HYDROLOGY,2022,615:20. |
| APA | Zhao, Zhanfeng,Berg, Steven J.,Illman, Walter A.,&Qi, Youcun.(2022).papers Improving predictions of solute transport in a laboratory sandbox aquifer through high-resolution characterization with hydraulic tomography.JOURNAL OF HYDROLOGY,615,20. |
| MLA | Zhao, Zhanfeng,et al."papers Improving predictions of solute transport in a laboratory sandbox aquifer through high-resolution characterization with hydraulic tomography".JOURNAL OF HYDROLOGY 615(2022):20. |
入库方式： OAI收割
来源：地理科学与资源研究所
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