Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016WR019185 |
Incorporating geologic information into hydraulic tomography: A general framework based on geostatistical approach | |
Zha, Yuanyuan1,2; Yeh, Tian-Chyi J.2; Illman, Walter A.3; Onoe, Hironori4; Mok, Chin Man W.5; Wen, Jet-Chau6,7; Huang, Shao-Yang8; Wang, Wenke9 | |
2017-04-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2017 |
卷号 | 53期号:4 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA; Canada; Japan; Taiwan |
英文摘要 | Hydraulic tomography (HT) has become a mature aquifer test technology over the last two decades. It collects nonredundant information of aquifer heterogeneity by sequentially stressing the aquifer at different wells and collecting aquifer responses at other wells during each stress. The collected information is then interpreted by inverse models. Among these models, the geostatistical approaches, built upon the Bayesian framework, first conceptualize hydraulic properties to be estimated as random fields, which are characterized by means and covariance functions. They then use the spatial statistics as prior information with the aquifer response data to estimate the spatial distribution of the hydraulic properties at a site. Since the spatial statistics describe the generic spatial structures of the geologic media at the site rather than site-specific ones (e.g., known spatial distributions of facies, faults, or paleochannels), the estimates are often not optimal. To improve the estimates, we introduce a general statistical framework, which allows the inclusion of site-specific spatial patterns of geologic features. Subsequently, we test this approach with synthetic numerical experiments. Results show that this approach, using conditional mean and covariance that reflect site-specific large-scale geologic features, indeed improves the HT estimates. Afterward, this approach is applied to HT surveys at a kilometer-scale-fractured granite field site with a distinct fault zone. We find that by including fault information from outcrops and boreholes for HT analysis, the estimated hydraulic properties are improved. The improved estimates subsequently lead to better prediction of flow during a different pumping test at the site. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000403682600020 |
WOS关键词 | INVERSE PROBLEM ; GROUNDWATER-FLOW ; TRANSMISSIVITY ; HETEROGENEITY ; HYDROGEOLOGY ; TRANSPORT ; SANDBOX ; MODELS ; MEDIA ; ZONE |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/21782 |
专题 | 资源环境科学 |
作者单位 | 1.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan, Peoples R China; 2.Univ Arizona, Dept Hydrol & Atmospher Sci, Tucson, AZ USA; 3.Univ Waterloo, Dept Earth & Environm Sci, Waterloo, ON, Canada; 4.Japan Atom Energy Agcy, Mizunami, Japan; 5.GSI Environm Inc, Oakland, CA USA; 6.Natl Yunlin Univ Sci & Technol, Dept Safety Hlth & Environm Engn, Touliu, Yunlin, Taiwan; 7.Natl Yunlin Univ Sci & Technol, Res Ctr Soil & Water Resources & Nat Disaster Pre, Touliu, Yunlin, Taiwan; 8.Natl Yunlin Univ Sci & Technol, Grad Sch Engn Sci & Technol, Touliu, Yunlin, Taiwan; 9.Changan Univ, Key Lab Subsurface Hydrol & Ecol Effects Arid Reg, Xian, Peoples R China |
推荐引用方式 GB/T 7714 | Zha, Yuanyuan,Yeh, Tian-Chyi J.,Illman, Walter A.,et al. Incorporating geologic information into hydraulic tomography: A general framework based on geostatistical approach[J]. WATER RESOURCES RESEARCH,2017,53(4). |
APA | Zha, Yuanyuan.,Yeh, Tian-Chyi J..,Illman, Walter A..,Onoe, Hironori.,Mok, Chin Man W..,...&Wang, Wenke.(2017).Incorporating geologic information into hydraulic tomography: A general framework based on geostatistical approach.WATER RESOURCES RESEARCH,53(4). |
MLA | Zha, Yuanyuan,et al."Incorporating geologic information into hydraulic tomography: A general framework based on geostatistical approach".WATER RESOURCES RESEARCH 53.4(2017). |
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