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Title: A geostatistics-informed hierarchical sensitivity analysis method for complex groundwater flow and transport modeling: GEOSTATISTICAL SENSITIVITY ANALYSIS

Authors:
ORCiD logo [1] ; ORCiD logo [1] ; ORCiD logo [2] ; ORCiD logo [1] ;  [1]
  1. Pacific Northwest National Laboratory, Richland Washington USA
  2. Department of Scientific Computing, Florida State University, Tallahassee Florida USA
Publication Date:
Grant/Contract Number:
SC0008272; 1552329; AC02-05CH11231
Type:
Publisher's Accepted Manuscript
Journal Name:
Water Resources Research
Additional Journal Information:
Journal Name: Water Resources Research Journal Volume: 53 Journal Issue: 5; Journal ID: ISSN 0043-1397
Publisher:
Wiley Blackwell (John Wiley & Sons)
Sponsoring Org:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Country of Publication:
United States
Language:
English
OSTI Identifier:
1402249

Dai, Heng, Chen, Xingyuan, Ye, Ming, Song, Xuehang, and Zachara, John M. A geostatistics-informed hierarchical sensitivity analysis method for complex groundwater flow and transport modeling: GEOSTATISTICAL SENSITIVITY ANALYSIS. United States: N. p., Web. doi:10.1002/2016WR019756.
Dai, Heng, Chen, Xingyuan, Ye, Ming, Song, Xuehang, & Zachara, John M. A geostatistics-informed hierarchical sensitivity analysis method for complex groundwater flow and transport modeling: GEOSTATISTICAL SENSITIVITY ANALYSIS. United States. doi:10.1002/2016WR019756.
Dai, Heng, Chen, Xingyuan, Ye, Ming, Song, Xuehang, and Zachara, John M. 2017. "A geostatistics-informed hierarchical sensitivity analysis method for complex groundwater flow and transport modeling: GEOSTATISTICAL SENSITIVITY ANALYSIS". United States. doi:10.1002/2016WR019756.
@article{osti_1402249,
title = {A geostatistics-informed hierarchical sensitivity analysis method for complex groundwater flow and transport modeling: GEOSTATISTICAL SENSITIVITY ANALYSIS},
author = {Dai, Heng and Chen, Xingyuan and Ye, Ming and Song, Xuehang and Zachara, John M.},
abstractNote = {},
doi = {10.1002/2016WR019756},
journal = {Water Resources Research},
number = 5,
volume = 53,
place = {United States},
year = {2017},
month = {5}
}