GSTDTAP  > 资源环境科学
DOI10.1029/2019WR026130
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
ISSN0043-1397
EISSN1944-7973
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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