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DOI | 10.1029/2019WR026130 |
A Tree-Based Direct Sampling Method for Stochastic Surface and Subsurface Hydrological Modeling | |
Zuo, Chen1,2; Yin, Zhen2; Pan, Zhibin1; MacKie, Emma J.3; Caers, Jef2 | |
2020-02-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2020 |
卷号 | 56期号:2 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA |
英文摘要 | Direct sampling (DS) is a versatile multiple-point statistics method for generating spatial-temporal geostatistical models. DS is known for being able to address a variety of training images and hence spatiotemporal stochastic modeling problems. One limitation of DS is the central processing unit (CPU) time, mostly attributed to the use of a random search for patterns in the training image. To improve CPU performance, we propose a tree-based direct sampling (TDS) method. In our method, training patterns are grouped according to their similarities combined with a clustering tree for fast lookup. Rather than patterns, we store locations in our database. During the simulation, TDS applies a tree-driven search approach. Two objectives, similarity and diversity, are used to rapidly retrieve patterns and prevent trapping into local optima. We also introduce a way to speed up simulation by means of pasting patterns with adaptive size. The performance of our TDS is investigated using a 2-D benchmark training image. Moreover, we apply the proposed method to two real cases including gap filling the bedrock topography in Antarctica from radar to better understand subglacial hydrology and creating 3-D groundwater models in the Danish aquifer system. Based on several quantitative evaluations, we find the proposed TDS is comparable to DS in terms of simulation quality, while significantly saves CPU time. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000535672800045 |
WOS关键词 | THWAITES GLACIER ; CONDITIONAL SIMULATION ; BED TOPOGRAPHY ; GEOSTATISTICAL SIMULATION ; STATISTICS ; ANTARCTICA ; GREENLAND ; THICKNESS ; PATTERNS ; DRAINAGE |
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/280542 |
专题 | 资源环境科学 |
作者单位 | 1.Xi An Jiao Tong Univ, Fac Elect & Informat Engn, Xian, Peoples R China; 2.Stanford Univ, Dept Geol Sci, Stanford, CA 94305 USA; 3.Stanford Univ, Dept Geophys, Stanford, CA 94305 USA |
推荐引用方式 GB/T 7714 | Zuo, Chen,Yin, Zhen,Pan, Zhibin,et al. A Tree-Based Direct Sampling Method for Stochastic Surface and Subsurface Hydrological Modeling[J]. WATER RESOURCES RESEARCH,2020,56(2). |
APA | Zuo, Chen,Yin, Zhen,Pan, Zhibin,MacKie, Emma J.,&Caers, Jef.(2020).A Tree-Based Direct Sampling Method for Stochastic Surface and Subsurface Hydrological Modeling.WATER RESOURCES RESEARCH,56(2). |
MLA | Zuo, Chen,et al."A Tree-Based Direct Sampling Method for Stochastic Surface and Subsurface Hydrological Modeling".WATER RESOURCES RESEARCH 56.2(2020). |
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