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DAI Zhenxue

SOURCE :     TIME:2021-06-02

Zhenxue Dai

Professor of Hydrogeology

College of Construction Engineering

Jilin University, Changchun, 130021, China

Email: dzx@jlu.edu.cn




Research and Teaching Interests

1. Radionuclide transport analysis and repository   science

2. Environmental quality evaluation and risk   assessment

3. AI-based monitoring, modeling, and   early-warning of soil/water contamination

4. Multiscale aquifer characterization with   geological, geochemical, geophysical data

5. Upscaling flow and reactive transport   parameters in porous and fractured rocks

6. Uncertainty quantification and optimization   for CO2-enhanced oil recovery (EOR)

7. Water inflow/inrush risk evaluation and   protection in coal mines

8. Inverse modeling of reactive transport in   variably saturated heterogeneous media


Education

University of La Coruña, Spain, Civil   Engineering, Ph.D. Cum Laude

Central Coal Mining Research Institute, China,   Hydrogeology, M.S.

Changchun University of Geology, China,   Hydrogeology, B.A.


Professional Positions

2016-present: Jilin University, College of   Construction Engineering, ProfessorDean

2008-2017: Los Alamos National Laboratory,   EES-16, Staff Scientist

2005-2008: Los Alamos National Laboratory, EES-6,   Limited-term Scientist

2004-2005: Advanced Environmental Solutions, LLC,   Research Hydrologist

2001-2004: Wright State University, Post-doc   Research Associate

1997-2000: University of La Coruña, Spain,   Research Assistant

2008-present: Florida State University, Adjunct   Professor

2013-present: Wright State University, Adjunct   Professor

2022-present: Qingdao University of Technology,   Adjunct Professor

2017-2018: Los Alamos National Laboratory, Guest   Scientist


Selected Peer-Reviewed   Publications (IF=Impact Factor, =中科院分区, NI=Nature Index)

1.   Yang,   S., Lian, H*, Soltanian, M. R., Xu, B., Liu, W., Vo Thanh, H., Yin, H., &   Dai, Z* (2024). Hybrid approach for early warning of mine water: Energy   density-based identification of water-conducting channels combined with water   inflow prediction by SA-LSTM. IEEE Transactions on Geoscience and Remote   Sensing, 62(1), 1-12. (吉大C, 1, IF = 7.5)

2.   Zhan,   C., Dai, Z*, Yang, Z., Zhang, X., Ma, Z., Vo Thanh, H., & Soltanian, M.   R. (2023). Subsurface sedimentary structure identification using deep   learning: A review. Earth-Science Reviews, 239(Suppl C), 104370. (吉大C, 1, IF = 10.8)

3.   Jia,   S., Dai, Z*, Zhou, Z., Ling, H., Yang, Z., Qi, L., Wang, Z., Zhang, X., Vo   Thanh, H., & Soltanian, M. R. (2023). Upscaling dispersivity for   conservative solute transport in naturally fractured media. Water Research,   235, 119844. (吉大C, 1, IF = 11.4, NI)

4.   Zhan,   C., Dai, Z.*, Yin, S., Carroll, K. C., & Soltanian, M. R. (2024).   Conceptualizing future groundwater models through a ternary framework of   multisource data, human expertise, and machine intelligence. Water Research,   257, 121679. (1, IF = 11.4, NI)

5.   Zhan,   C., Dai, Z*, Soltanian, M. R., & de Barros, F. P. J. (2022). Data-worth   analysis for heterogeneous subsurface structure identification with a   stochastic deep learning framework. Water Resources Research, 58(11),   e2022WR033241. (吉大C, 1, IF = 4.6)

6.   Chen,   J., Dai, Z*, Dong, S., Zhang, X., Sun, G., Wu, J., Ershadnia, R., Yin, S.,   & Soltanian, M. R. (2022). Integration of deep learning and information   theory for designing monitoring networks in heterogeneous aquifer systems.   Water Resources Research, 58(10), e2022WR032429. (吉大C, 1, IF = 4.6)

7.   Zhang,   X., Wang, Z., Reimus, P., Ma, F., Soltanian, M. R., Xing, B., Zang, J., Wang,   Y*, & Dai, Z* (2022). Plutonium reactive transport in fractured granite:   Multi-species experiments and simulations. Water Research, 224, 119068. (吉大C, 1, IF = 11.4,   NI)

8.   Ren,   W., Ershadnia, R., Wallace, C. D., LaBolle, E. M., Dai, Z., de Barros, F. P.   J., & Soltanian, M. R. (2022). Evaluating the effects of multiscale   heterogeneous sediments on solute mixing and effective) dispersion. Water   Resources Research, 58(9), e2021WR031886. (吉大C, 1, IF = 4.6

9.   Zhan,   C., Dai, Z*., Soltanian, M. R., & Zhang, X. (2022). Stage-wise stochastic   deep learning inversion framework for subsurface sedimentary structure   identification. Geophysical Research Letters, 49(1), e2021GL095689. (吉大C, 1, IF = 4.6,   NI)

10.        Chen,   J., Dai, Z*, Yang, Z., Pan, Y., Zhang, X., Wu, J., & Soltanian, M. R.   (2021). An improved tandem neural network architecture for inverse modeling   of multicomponent reactive transport in porous media. Water Resources   Research, 57(12), e2021WR030595. (吉大C, 1, IF = 4.6)

11.  Dai,   Z., Xu, L., Xiao, T., McPherson, B., Zhang, X., Zheng, L., Dong, S., Yang,   Z., Soltanian, M. R., Yang, C., Ampomah, W., Jia, W., Yin, S., Xu, T., Bacon,   D., & Viswanathan, H. (2020). Reactive chemical transport simulations of   geologic carbon sequestration: Methods and applications. Earth-Science   Reviews, 208, 103265. (吉大C, 1, IF = 10.8)

12.        Wang,   Z., Jia, S., Dai, Z*, Yin, S., Zhang, X., Yang, Z., Vo Thanh, H., Ling, H.,   & Soltanian, M. R. (2024). Environmental risk evaluation for radionuclide   transport through natural barriers of nuclear waste disposal with multi-scale   streamline approaches. Science of the Total Environment, 953, 176084. (1, IF = 8.2)

13.        Du,   Z., Dai, Z., Yang, Z., Zhan, C., Chen, W., Cao, M., Vo Thanh, H., &   Soltanian, M. R. (2024). Exploring hydrogen geologic storage in China for   future energy: Opportunities and challenges. Renewable and Sustainable Energy   Reviews, 196, 114366. (1, IF = 16.3)

14.        Zhang,   X., Cai, F., Ma, F., Reimus, P., Qi, L., Lu, D., Soltanian, M. R., & Dai,   Z. (2024). Investigating the role of Na-bentonite colloids in facilitating Sr   transport in granite minerals through column experiments and modeling.   Journal of Hazardous Materials, 463(0), 132851. (1, IF = 12.2)

15.        Wang,   Y., Dai, Z., Wang, G., Chen, L., Xia, Y., & Zhou, Y. (2024). A hybrid   physics-informed data-driven neural network for CO₂ storage in depleted shale   reservoirs. Petroleum Science, 21(1), 286-301. (1, IF = 6)

16.        Ma,   F., Dai, Z. Zhang, X., Hu, Y., Cai, F., Wang,W.  Tian, Y., M.R. Soltanian (2024),   Quantifying the impact of upscaled parameters on radionuclide transport in   three-dimensional fracture-matrix systems, Science of The Total Environment,   930, 172663 (1, IF = 8.2)

17.        Zhang,   X., Lan, T., Jiang, H., Ye, K., & Dai, Z. (2024). Bacterial community   driven nitrogen cycling in coastal sediments of intertidal transition zone.   Science of The Total Environment, 908, 168299. (1, IF = 8.2)

18.        Yang,   S., Lian, H., Xu, B., Vo Thanh, H., Chen, W., Yin, H., & Dai, Z. (2023).   Application of robust deep learning models to predict mine water inflow:   Implication for groundwater environment management. Science of The Total   Environment, 871, 162056. (1, IF = 8.2)

19.        Ma,   F., Zhang, X., Zhan, C., Chen, W., Qi, L., & Dai, Z. (2023). Upscaling of   Se(IV) sorption coefficients with hierarchical mineral characterization in   multi-scale fractured granite. Stochastic Environmental Research and Risk   Assessment, 37(3), 877-887. (2, IF = 3.9)

20.        Wang,   Y., Dai, Z*, Chen, L., Shen, X., Chen, F., & Soltanian, M. R. (2023). An   integrated multi-scale model for CO2 transport and storage in shale   reservoirs. Applied Energy, 331(C), 120444. (1, IF = 10.1)

21.        Zhang,   X., Dong, F., Chen, G., & Dai, Z* (2023). Advance prediction of coastal   groundwater levels with temporal convolutional and long short-term memory   networks. Hydrology and Earth System Sciences, 27(1), 83-96. (1, IF = 5.7)

22.        Cao,   Y., Dai, Z*, Zhang, C., Ding, L., Yin, S., Soltanian, M. R. (2024).   Integrated experiments and numerical simulations for chromium (VI) surface   complexation in natural unconsolidated sediments. Applied Geochemistry, 173,   106136. (3, IF = 3.1)

23.        Zhou,   Y., Cui, X., Dai, Z., Zhou, X., Li, L., Jiang, S., & Sun, B. (2024). The   Antarctic subglacial hydrological environment and international drilling   projects: A review. Water, 16(8), 1111. (3, IF = 3)

24.        Liu,   W., Yin, S., Vo Thanh, H., Soltanian, M. R., Yu, Q., Lian, H., Yang, S., Li,   Y., & Dai, Z. (2024). Experimental study and application of similar   materials in thick coal seam mining. Frontiers in Energy Research, 12,   1382444. (4, IF = 2.6)

25.        Dai,   Z., Ma, Z., Zhang, X., Chen, J., & Soltanian, M. R. (2022). An integrated   experimental design framework for optimizing solute transport monitoring   locations in heterogeneous sedimentary media. Journal of Hydrology, 614(Part   A), 128541. (1, IF = 5.9)

26.        Zhang,   X., Qi, L., Ma, Z., Ma, F., & Dai, Z* (2022). Impact of fracture filling   materials on selenium sorption in granite. Journal of Hydrology, 612, 128287.   (1, IF = 5.9)

27.        Xu,   L., Cai, M., Dong, S., Yin, S., Xiao, T., Dai, Z*, Wang, Y., & Soltanian,   M. R. (2022). An upscaling approach to predict mine water inflow from roof   sandstone aquifers. Journal of Hydrology, 612, 128314. (1, IF = 5.9)

28.        Zhang,   X., Ma, F., Dai, Z*, Wang, J., Chen, L., Ling, H., & Soltanian, M. R.   (2022). Radionuclide transport in multi-scale fractured rocks: A review.   Journal of Hazardous Materials, 424, 127550. (1, IF = 12.2)

29.        Yu,   Q., Lei, P., Dai, Z., Soltanian, M. R., Yin, S., Liu, W., & Xiong, Z.   (2023). Damage characteristics of limestone under freeze-thaw cycle for   tunnels in seasonal frozen areas. Iranian Journal of Science and Technology,   Transactions of Civil Engineering, 47(1), 469-477. (4, IF = 1.7)

30.        Yu,   Q., Xu, P., Dai, Z., Yin, S., Soltanian, M. R., & Liu, W. (2022).   Numerical analysis of rock joints in tunnel construction during blasting.   Arabian Journal of Geosciences, 15(1), 10. (4)

31.        Wang,   Y., Dai, Z., & Liu, H. (2021). Pore-scale mechanisms and simulations for   gaswater   two-phase transport processes in natural gas reservoirs. Journal of Natural   Gas Science and Engineering, 96, 104314. (2, IF = 4.9)

32.        Zhang,   X., Ma, F., Yin, S., Wallace, C. D., Soltanian, M. R., Dai, Z*, Ritzi, R. W.,   Ma, Z., Zhan, C., & Lü, X. (2021). Application of upscaling methods for fluid flow and mass   transport in multi-scale heterogeneous media: A critical review. Applied   Energy, 303, 117629. (1, IF = 10.1)

33.        Cao,   Y., Dong, S., Dai, Z*, Zhu, L., Xiao, T., Zhang, X., Yin, S., &   Soltanian, M. R. (2021). Adsorption model identification for chromium (VI)   transport in unconsolidated sediments. Journal of Hydrology, 598, 126228. (1, IF = 5.9)

34.        Zhang,   X., Qi, L., Li, W., Hu, B. X., Dai, Z., & Lü, X. (2021). Bacterial community variations with   salinity in the saltwater-intruded estuarine aquifer. Science of the Total   Environment, 755(1), 142423. (1, IF = 8.2)

35.        Ma,   Z., Dong, S., Yin, S., Dai, Z.*, Zhu, L., Jia, W., Wallace, C., &   Soltanian, M. R. (2021). Experimental investigations on scale-dependent   dispersivity in three-dimensional heterogeneous porous media. Environmental   Science and Pollution Research, 28(18), 23336-23348. (3)

36.        Yu,   Q., Xiong, Z., Du, C., Dai, Z*, Soltanian, M. R., Soltanian, M., Yin, S.,   Liu, W., Liu, C., Wang, C., & Song, Z. (2020). Identification of rock   pore structures and permeabilities using electron microscopy experiments and   deep learning interpretations. Fuel, 268, 117416. (1, IF = 6.7)

37.        Dai,   Z., Zhan, C., Dong, S., Yin, S., Zhang, X., & Soltanian, M. R. (2020).   How does resolution of sedimentary architecture data affect plume dispersion   in multiscale and hierarchical systems? Journal of Hydrology, 582, 124516. (1, IF = 5.9)

38.        Soltanian,   M. R., Bemani, A., Moeini, F., Ershadnia, R., Yang, Z., Du, Z., Yin, H.,   & Dai, Z. (2024). Data driven simulations for accurately predicting   thermodynamic properties of H₂ during geological storage. Fuel, 362, 130768.   (1, IF = 6.7)

39.        Cao,   M., Dai, Z., Jia, S., Samper, J., Ling, H., Du, Z., Zhan, C., Yang, Z., Vo   Thanh, H., & Soltanian, M. R. (2024). Identification of solute transport   parameters in fractured granites with heterogeneous apertures. Journal of   Hydrology, 633, 130938. (1, IF = 5.9)

40.        Zhuang,   X., Wang, W., Su, Y., Li, Y., Dai, Z., & Yuan, B. (2024). Spatio-temporal   sequence prediction of CO₂ flooding and sequestration potential under   geological and engineering uncertainties. Applied Energy, 359, 122691. (1, IF = 10.1)

41.        Zhao,   X., Chang, Y., Wu, J., Wang, F., Soltanian, M. R., & Dai, Z* (2024).   Identifying transient storage model parameters in karst conduits using the   normal-score ensemble smoother with multiple data assimilation. Journal of   Hydrology, 631, 130730. (1, IF = 5.9)

42.        Dai,   Z., C Zhan, MR Soltanian, RW Ritzi, X Zhang*, Identifying spatial correlation   structure of multimodal permeability in hierarchical media with Markov chain   approach, J. of Hydrology 568, 703-715, 2019. (1, IF 4.5)

43.        Dai,   Z., Y. Zhang, J. Bielicki, M.A. Amooie, M. Zhang, C. Yang, Y. Zou, W.   Ampomah, T. Xiao, W. Jia, R. Middleton, W. Zhang, Y. Sun*, J. Moortgat, M.   Soltanian*P.H.   Stauffer, Heterogeneity-assisted carbon dioxide storage in marine sediments,   Applied Energy, 225, 876-883, 2018. (1, IF 8.85)

44.        Wolfsberg,   A., Z. Dai*, L. Zhu and P. Reimus, T. Xiao, D. Ware, Colloid-facilitated   Plutonium Transport in Fractured Tuffaceous Rock, Environmental Science &   Technology, 51 (10), 5582 5590, 2017. (1, IF 7.86, NI)

45.        Dai,   Z*., H. Viswanathan, R. Middleton,  F.   Pan, W. Ampomah, C. Yang, W. Jia, S. Lee, B. McPherson, R. Balch, R. Grigg,   and M. White, CO2 Accounting and Risk Analysis for CO2 Sequestration at   Enhanced Oil Recovery Sites, Environmental Science & Technology, 50 (14),   7546−75542016. (1, IF 7.86, NI)

46.        Shang,   H., W. Wang*, Z. Dai*, L. Duan, Y. Zhao, J. Zhang, An ecology-oriented   exploitation mode of groundwater resources in the northern Tianshan Mountain,   China, J. of Hydrology, 543, 386-394, 2016. (1, IF 4.5)

47.        Dai,   Z.*, P. Stauffer, J. Carey, R. Middleton, Z. Lu, J. Jacobs, L. Spangle, K.   Hnottavange-Telleen, Pre-site characterization risk analysis for   commercial-scale carbon sequestration, Environmental Science &   Technology, 48 (7), 39083915, 2014. (11, IF 7.86, NI)

48.        Dai,   Z.*, R. Middleton, H. Viswanathan, J. Fessenden-Rahn, J. Bauman, R. Pawar, S.   Lee and B. McPherson, An integrated framework for optimizing CO2   sequestration and enhanced oil recovery, Environmental Science &   Technology Letters, 1:49-54, 2014. (1, IF 7.68)

49.        Dai,   Z.*, A. Wolfsberg, P. Reimus, H. Deng, E. Kwicklis, M. Ding, D. Ware and M.   Ye, Identification of sorption processes and parameters for radionuclide   transport in fractured rock, J. of Hydrol., v 414415, p220230, 2012. (1, IF 4.5)

50.        Yang,   C., Z. Dai, K. Romanak, S. Hovorka, R. Trevino, Inverse Modeling of   Water-Rock-CO2 Batch Experiments: Implications for Potential Impacts on   Groundwater Resources at Carbon Sequestration Sites, Environmental Science   & Technology, 48 (5), 27982806, 2014. (1, IF 7.86, NI)

51.        Deng,   H., Z. Dai*, A. Wolfsberg, Z. Lu, M. Ye and P. Reimus, Upscaling of reactive   mass transport in fractured rocks with multimodal reactive mineral facies,   Water Resources Research, 46, W06501, 2010. (1, IF 4.31)

52.        Lu,   Z., A. Wolfsberg, Z. Dai, and C. Zheng, Characteristics and controlling   factors of dispersion in bounded, randomly heterogeneous porous media, Water   Resources Research, 46,  W12508,  2010. (1, IF 4.31)

53.        Dai,   Z.*, A. Wolfsberg, Z. Lu, and H. Deng, Scale dependence of sorption   coefficients for contaminant transport in saturated fractured rock,   Geophysical Research Letters, 36, L01403, 2009. (1, IF 4.50, NI)

54.        Harp   D., Z. Dai*, A. Wolfsberg, J. Vrugt, B. Robinson, V. Vesselinov, Aquifer   structure identification using stochastic inversion, Geophysical Research   Letters, 35, L08404, 2008. (1, IF 4.50, NI)

55.        Dai,   Z.*, A. Wolfsberg, Z. Lu, and P. Reimus, Upscaling matrix diffusion   coefficients for heterogeneous fractured rocks, Geophysical Research Letters,   34, L07408, 2007. (1, IF 4.50, NI)

56.        Dai,   Z.*, A. Wolfsberg, Z. Lu, and R. Ritzi, Representing aquifer architecture in   macrodispersivity models with an analytical solution of the transition   probability matrix, Geophysical Research Letters, 34, L20406, 2007. (1, IF 4.50, NI)

57.        Dai,   Z.* and J. Samper, Inverse modeling of water flow and multicomponent reactive   transport in coastal aquifer systems, J. of Hydrology, 327, 447-461, 2006. (1, IF 4.5)

58.        Dai,   Z., R. Ritzi, and D. Dominic,    Improving permeability semivariograms with transition probability   models of hierarchical sedimentary architecture derived from outcrop-analog   studies, Water Resour. Res., 41, W07032, 2005. (1, IF 4.31)

59.        Dai,   Z.* and J. Samper, Inverse problem of multicomponent reactive chemical   transport in porous media: Formulation and applications, Water Resour. Res.   40, W074071-W0740718, 2004. (1, IF 4.31)

60.        Dai,   Z.*, R. Ritzi, C. Huang, D. Dominic, and Y. Rubin, Transport in heterogeneous   sediments with multimodal conductivity and hierarchical organization across   scales, J. of Hydrology, 294, 1-3, 68-86, 2004. (1, IF 4.5)

61.        Ritzi,   R., Z. Dai, D. Dominic, and Y. Rubin, Spatial correlation of permeability in   cross-stratified sediment with hierarchical architecture, Water Resour. Res.,   40, 2004. (1, IF 4.31)

62.        Deng,   H., Dai, Z., A. Wolfsberg, Z. Lu and M. Ye, Upscaling sorption coefficient in   hierarchical porous media with multimodal reactive mineral facies,   Chemosphere, 91(3), 248257, 2013. (22, IF 5.78)

63.        Dai,   Z.*, E. Keating, C.W. Gable, D. Levitt, J. Heikoop, A. Simmons, Stepwise   inversion of a groundwater flow model with multi-scale observation data,   Hydrogeology Journal, 18: 607-624, 2010. (3, IF 2.64)

64.        Huang,   C., Z. Dai, Modeling Groundwater in Multimodal Porous Media with Localized   Decompositions, Mathematical Geosciences, 40:689-704, 2008. (3, IF 1.96)

65.        Dai,   Z.*, J. Samper, and R. Ritzi, Identifying geochemical processes by inverse   modeling of multicomponent reactive transport in Aquia aquifer, Geosphere,   2(4),  210-219, June, 2006. (3, IF 2.64)

66.        Ritzi,   R. and Z. Dai, Introduction: Modeling ground-water flow and reactive   transport in physically and chemically heterogeneous media, Geosphere,   2(2),  pp. 73, June, 2006. (3, IF 2.64)

67.        Dai,   Z.*, E. Keating, D. Bacon, H. Viswanathan, R. Pawar, Probabilistic Evaluation   for Shallow Groundwater Resources at a Potential Carbon Sequestration Site,   Scientific Reports, 4: 4006, DOI: 10.1038/srep04006, 2014. (3, IF4.0)

68.        Yu,   Q., Wang, C., Dai, Z*, Ran, X., Amooie, M. A., Soltanian, M. R., &   Soltanian, M. (2020). Effects of surface loading on groundwater flow and   skeletal deformation. Water Science and Technology: Water Supply, 20(1),   287-295. (4)

69.        Yu,   Q., Zhang, C., Dai, Z., Du, C., Soltanian, M. R., & Soltanian, M. (2019).   Impact of tunnel temperature variations on surrounding rocks in cold regions.   Periodica Polytechnica: Civil Engineering, 63(1), 160-167. (4, IF = 1.4)

70.        Wang,   W., Z. Dai*, Y. Zhao, J. Li, L. Duan, Z. Wang, L. Zhu, A quantitative   analysis of hydraulic interaction processes in stream-aquifer systems,   Scientific Reports, 6: 19876, 2016. (3, IF4.0)

71.        Yu,   Q., Song, Z., Du, C., Dai, Z.*, Yin, S., Soltanian, M. R., Soltanian, M.,   & Liu, W. (2020). Analysis of asymmetric stress ratio in shallow buried   tunnels. KSCE Journal of Civil Engineering, 24(6), 1924-1931.

72.        Zhu,   L., Z. Dai*, H. Gong, C. Gable, P. Teatini, Statistic inversion of multi-zone   transition probability models for aquifer characterization in alluvial fans,   Stochastic Environmental Research and Risk Assessment, 30(3), 1005-1016,   2016. (2, IF2.25)

73.        Wang,   W., Z. Dai*, J. Li and L. Zhou, A hybrid Laplace transform finite analytic   method for solving transport problems with large peclet and courant numbers,   Computers & Geosciences, 49, 182-189, 2012. (2, IF2.7)

74.        Zhao,   X., H. Deng, W. Wang, F. Han, C. Li, H. Zhang, Z. Dai*, Impact of naturally   leaking carbon dioxide on soil properties and ecosystems in the Qinghai-Tibet   plateau, Scientific Reports, 7, 3002, 2017. (3, IF4.0)

75.        Xiao,   T., Z. Dai*, H. Viswanathan, A. Hakala, M. Cather, W. Jia, Y. Zhang, B.   McPherson, Arsenic mobilization in shallow aquifers due to CO2 and brine   intrusion from storage reservoirs, Scientific Reports, 7, 2763, 2017. (3, IF4.0)

76.        Dai,   Z.*, J. Samper, A. Wolfsberg, and D. Levitt, Identification of relative   conductivity models for water flow and solute transport in unsaturated   compacted bentonite, Physics and Chem. of the Earth, 33, S177-S185, 2008. (3, IF1.96)

77.        Zhu,   L., H. Gong, Z. Dai*, T. Xu, X. Su, X. Li, An integrated assessment of the   impact of precipitation and groundwater on vegetation growth in arid and   semiarid areas, Environmental Earth Science, 74:50095021, 2015. (分区4, IF1.9)

78.        Yin,   H., Zhang, G., Wu, Q., Cui, F., Yan, B., Yin, S., Soltanian, M. R., Vo Thanh,   H., & Dai, Z. (2024). Unraveling overlying rock fracturing evolvement for   mining water inflow channel prediction: A spatiotemporal analysis using   ConvLSTM image reconstruction. IEEE Transactions on Geoscience and Remote   Sensing, 1, 3452937. (1, IF = 7.5)

79.        Jia,   S., Dai, Z., Yang, Z., Du, Z., Zhang, X., Ershadnia, R., & Soltanian, M.   R. (2022). Uncertainty quantification of radionuclide migration in fractured   granite. Journal of Cleaner Production, 366, 132944. (1, IF = 9.7)

80.        Zhan,   C., Dai, Z., Samper, J., Yin, S., Ershadnia, R., Zhang, X., Wang, Y., Luan,   X., & Soltanian, M. R. (2022). An integrated inversion framework for   heterogeneous aquifer structure identification with single-sample generative   adversarial network. Journal of Hydrology, 610(2), 127844. (1, IF = 5.9)

81.        Zhang,   W., Wang, J., Chen, J., Soltanian, M. R., Dai, Z., & WoldeGabriel, G.   (2022). Masswastinginferred dramatic variability of 130,000year Indian summer monsoon intensity from   deposits in the Southeast Tibetan Plateau. Geophysical Research Letters,   49(6), e2021GL097301. (1, IF = 4.6, NI)

82.        Zhang,   C., Chen, L., Sha, X., Kang, Q., Dai, Z., & Tao, W. (2024). Computational   microfluidics of reactive transport processes with solid dissolution and   self-induced multiphase flow. Advances in Water Resources, 191, 104771. (2, IF = 4)

83.        Li,   P., McGarr, J. T., Moeini, F., Dai, Z., & Soltanian, M. R. (2024).   Sensitivity analysis and uncertainty quantification of PFAS fate and   transport in heterogeneous riparian sediments. ACS Earth and Space Chemistry,   8(8), 1560-1573. (3, IF = 2.9)

84.        Ershadnia,   R., Moeini, F., Hosseini, S. A., Dai, Z., & Soltanian, M. R. (2024).   Predicting multiphase flow behavior of methane in shallow unconfined aquifers   using conditional deep convolutional generative adversarial network. Journal   of Hydrology, 641, 131674. (1, IF = 5.9)

85.        Cai,   F., Zhang, X., Ma, F., Qi, L., Lu, D., & Dai, Z., (2024). Differences and   implications of strontium distribution coefficient on various granite   compositional materials. Environmental Science and Pollution Research, 31,   4789947910. (3)

86.        Xia,   Y., Cai, M., Wang, Y., Sun, Q., & Dai, Z. (2024). Competitive adsorption   mechanisms of multicomponent gases in kaolinite under electric fields: A   molecular perspective. Geoenergy Science and Engineering, 238, 212897. (2)

87.        Chen,   L., Li, S., Zhang, X., & Dai, Z. (2024). Integrated framework for   modeling the impact of subsurface heterogeneity on CO₂ sequestration   efficiency. International Journal of Greenhouse Gas Control, 125, 104181. (3, IF = 4.6)

88.        Khandoozi,   S., Han, W. S., Kim, K. Y., Dai, Z., Mehana, M., Cole, D. R., &   Soltanian, M. R. (2024). Enhancing predictive understanding and accuracy in   geological carbon dioxide storage monitoring: Simulation and history matching   of tracer transport dynamics. Chemical Engineering Journal, 495, 153127. (1, IF = 13.3)

89.        Moeini,   F., Ershadnia, R., Rubinstein, R. L., Versteeg, R., Li, P., McGarr, J. T.,   Meyal, A., Wallace, C. D., Dai, Z., Carroll, K. C., & Soltanian, M. R.   (2024). Employing generative adversarial neural networks as surrogate model   for reactive transport modeling in the hyporheic zone. Journal of Hydrology,   639, 131485. (1, IF = 5.9)

90.        Hu,   Y., Xu, W., Zou, L., Zhan, L., Chen, Y., Wang, J., & Dai, Z. (2024).   Evaluating the long-term barrier performance of fractured granite for nuclear   waste disposal: Impact of fast water-conducting path. Engineering Geology,   337, 107583. (1, IF = 6.9)

91.        Jia,   S., Yu, Q., Yin, H., Dai, Z., Yin, S., Kong, Y., Vo Thanh, H., &   Soltanian, M. R. (2024). Analysis of damage evolution and study on mesoscopic   damage constitutive model of granite under freezethaw cycling. Bulletin of Engineering Geology and   the Environment, 83(6), 1-15. (2, IF = 3.7)

92.        Jia,   S., Ma, F., Yang, Z., Zhou, Z., Ling, H., Lan, T., Wang, W., Tian, Y., Vo   Thanh, H., & Soltanian, M. R., Dai, Z.* (2024). Retardation factor   scaling for contaminant transport in fractured media. Advances in Water   Resources, 188, 104709. (2, IF = 4)

93.        Zhu,   L., Li, J., Gong, H., Ye, M., Dai, Z., Li, X., & Teatini, P. (2024).   Simulating earth deformation evolution caused by groundwater pumping through   ordinary state-based Peridynamics method. Journal of Hydrology, 634, 131133.   (1, IF = 6.9)

94.        Vo   Thanh, H., Dai, Z., Du, Z., Yin, H., Yan, B., Soltanian, M. R., Xiao, T.,   McPherson, B., & Abualigah, L. (2024). Artificial intelligence-based   prediction of hydrogen adsorption in various kerogen types: Implications for   underground hydrogen storage and cleaner production. International Journal of   Hydrogen Energy, 57(0), 1000-1009. (2, IF = 8.1)

95.        Zhang,   H., Wang, P., Rahimi, M., Vo Thanh, H., Wang, Y., Dai, Z., Zheng, Q., &   Cao, Y. (2024). Catalyzing net-zero carbon strategies: Enhancing CO₂ flux   prediction from underground coal fires using optimized machine learning   models. Journal of Cleaner Production, 441, 141043. (1, IF = 9.7)

96.        Vo   Thanh, H., Zhang, H., Dai, Z., Zhang, T., Tangparitkul, S., & Min, B.   (2024). Data-driven machine learning models for the prediction of hydrogen   solubility in aqueous systems of varying salinity: Implications for   underground hydrogen storage. International Journal of Hydrogen Energy,   55(0), 1422-1433. (2, IF = 8.1)

97.        Li,   M., Zhang, X., Su, W., Cai, F., Lan, T., & Dai, Z. (2024). Adsorption of   Coxsackievirus in sediments: Influencing factors, kinetics, and isotherm   modeling. Applied Sciences, 14(4), 1480.

98.        Li,   P., Wallace, C. D., McGarr, J. T., Moeini, F., Dai, Z., & Soltanian, M.   R. (2023). Investigating key drivers of N₂O emissions in heterogeneous   riparian sediments: Reactive transport modeling and statistical analysis.   Science of the Total Environment, 905, 166930. (1, IF = 8.2)

99.        Cai,   F., Ma, F., Zhang, X., Reimus, P., Qi, L., Wang, Y., Lu, D., Vo Thanh, H.,   & Dai, Z. (2023). Investigating the influence of bentonite colloids on   strontium sorption in granite under various hydrogeochemical conditions.   Science of The Total Environment, 900, 165819. (1, IF = 8.2)

100.      Park,   W., Liu, Y., Jiao, Y., Shi, R., Nan, J., Yiu, C. K., Huang, X., Chen, Y., Li,   W., Gao, Y., Zhang, Q., Li, D., Jia, S., Gao, Z., Song, W., Lam, M. M. H.,   Dai, Z., Zhao, Z., Li, Y., & Yu, X. (2023). Skin-integrated wireless odor   message delivery electronics for the deaf-blind. ACS Nano, 17(21),   21947-21961. (1, IF = 15.8, NI)

101.      Chen,   W., Dai, Z., Samper, J., Ling, H., Zhan, C., Ma, F., Yang, Z., Zhang, X.,   & Soltanian, M. R. (2023). Impact of reactive mineral facies   distributions on radionuclide sorption properties in multiscale heterogeneous   granite rocks. Hydrogeology Journal, 31(6), 1581-1597. (3, IF = 2.4)

102.      Vo   Thanh, H., Rahimi, M., Dai, Z., Zhang, H., & Zhang, T. (2023). Predicting   the wettability rocks/minerals-brine-hydrogen system for hydrogen storage:   Re-evaluation approach by multi-machine learning scheme. Fuel, 345, 128183.   (1, IF = 6.7)

103.      Yin,   H., Zhang, G., Wu, Q., Yin, S., Soltanian, M. R., Vo, H. T., & Dai, Z.   (2023). A deep learning-based data-driven approach for predicting mining   water inrush from coal seam floor using microseismic monitoring data. IEEE   Transactions on Geoscience and Remote Sensing, 61(1), 1. (1, IF = 7.5)

104.      Davoodi,   S., Vo Thanh, H., Wood, D. A., Mehrad, M., Rukavishnikov, V. S., & Dai,   Z. (2023). Machine-learning predictions of solubility and residual trapping   indexes of carbon dioxide from global geological storage sites. Expert   Systems with Applications, 222, 119796. (1, IF = 7.5)

105.      Zhang,   H., Vo Thanh, H., Rahimi, M., Al-Mudhafar, W. J., Tangparitkul, S., Zhang,   T., Dai, Z., & Ashraf, U. (2023). Improving predictions of shale   wettability using advanced machine learning techniques and nature-inspired   methods: Implications for carbon capture utilization and storage. Science of   the Total Environment, 877, 162944. (1, IF = 8.2)

106.      Morgan,   A., Ampomah, W., Grigg, R., Dai, Z., You, J., & Wang, S. (2023).   Techno-economic life cycle assessment of CO₂-EOR operations towards net   negative emissions at Farnsworth field unit. Fuel, 342(Suppl C), 127897. (1, IF = 6.7)

107.      Girgibo,   N., Lü, X.,   Hiltunen, E., Peura, P., & Dai, Z. (2023). The air temperature change   effect on water quality in the Kvarken Archipelago area. Science of the Total   Environment, 874, 162599. (1, IF = 8.2)

108.      Ren,   W., Dai, H., Yuan, S., Dai, Z*, Ye, M., & Soltanian, M. R. (2023). Global   sensitivity study of non-reactive and sorptive solute dispersivity in   multiscale heterogeneous sediments. Journal of Hydrology, 619, 129274. (1, IF = 5.9)

109.      Shafiei,   M., Kazemzadeh, Y., Martyushev, D. A., Dai, Z., & Riazi, M. (2023).   Effect of chemicals on the phase and viscosity behavior of water in oil   emulsions. Scientific Reports, 13(1), 4100. (2, IF = 3.8)

110.      Ershadnia,   R., Singh, M., Mahmoodpour, S., Meyal, A., Moeini, F., Hosseini, S. A.,   Sturmer, D. M., Rasoulzadeh, M., Dai, Z., & Soltanian, M. R. (2023).   Impact of geological and operational conditions on underground hydrogen   storage. International Journal of Hydrogen Energy, 48(4), 1450-1471. (2, IF = 8.1)

111.      Yin,   H., Wu, Q., Yin, S., Dong, S., Dai, Z., & Soltanian, M. R. (2023).   Predicting mine water inrush accidents based on water level anomalies of   borehole groups using long short-term memory and isolation forest. Journal of   Hydrology, 616(Suppl C), 128813. (1, IF = 5.9)

112.      Du,   Z., Dai, Z., Yang, Z., & Jia, S. (2022). Uncertainty and sensitivity   analysis of radionuclide migration through fractured granite aquifer. Journal   of Environmental Radioactivity, 255, 107020. (3, IF = 1.9)

113.      Xiao,   T., Wang, B., Xu, L., Esser, R., Dai, Z., Cather, M., & McPherson, B.   (2022). Underground sources of drinking water chemistry changes in response   to potential CO₂ leakage. Science of The Total Environment, 847, 157254. (1, IF = 8.2)

114.      Wang,   Z., Chen, L., Wei, H., Dai, Z., Kang, Q., & Tao, W. (2022). Pore-scale   study of mineral dissolution in heterogeneous structures and deep learning   prediction of permeability. Physics of Fluids, 34(11), 1-18. (1, IF = 4.1)

115.      Safaei-Farouji,   M., Thanh, H. V., Dai, Z., Mehbodniya, A., Rahimi, M., Ashraf, U., &   Radwan, A. E. (2022). Exploring the power of machine learning to predict   carbon dioxide trapping efficiency in saline aquifers for carbon geological   storage project. Journal of Cleaner Production, 372, 133778. (1, IF = 9.7)

116.      Liu,   Y., Huang, X., Zhou, J., Yiu, C. K., Song, Z., Huang, W., Nejad, S. K., Li,   H., Wong, T. H., Park, W., Yao, K., Zhao, L., Shi, R., Wang, Y., Dai, Z.,   & Yu, X. (2022). Stretchable sweatactivated battery in skin-integrated electronics   for continuous wireless sweat monitoring. Advanced Science, 9(9), 2104635. (1, IF = 14.3)

117.      Li,   J., Zhu, L., Gong, H., Zhou, J., Dai, Z., Li, X., Wang, H., Zoccarato, C.,   & Teatini, P. (2022). Unraveling elastic and inelastic storage of aquifer   systems by integrating fast independent component analysis and a variable   preconsolidation head decomposition method. Journal of Hydrology, 606,   127420. (1, IF = 5.9)

118.      Ershadnia,   R., Wallace, C. D., Hajirezaie, S., Hosseini, S. A., Nguyen, T. N., Sturmer,   D. M., Dai, Z., & Soltanian, M. R. (2022). Hydro-thermo-chemo-mechanical   modeling of carbon dioxide injection in fluvial heterogeneous aquifers.   Chemical Engineering Journal, 431(4), 133451. (1, IF = 13.3)

119.      Liu,   Y., Huang, X., Zhou, J., Li, J., Nejad, S. K., Yiu, C., Li, H., Wong, T. H.,   Park, W., Yao, K., Zhao, L., Shi, R., Wang, Y., Dai, Z., & Yu, X. (2022).   Bandage-based energy generators activated by sweat in wireless skin   electronics for continuous physiological monitoring. Nano Energy, 92, 106755.   (1, IF = 16.8)

120.      Ma,   Z., Dai, Z., Zhang, X., Zhan, C., Gong, H., Zhu, L., Wallace, C. D., &   Soltanian, M. R. (2022). Dispersivity variations of solute transport in   heterogeneous sediments: numerical and experimental study. Stochastic   Environmental Research and Risk Assessment, 36, 661-677. (2, IF = 3.9)

121.      Liu,   W., Dong, S., Yin, S., Dai, Z., Xu, B., Soltanian, M. R., & Yu Q. (2023).   A new approach for quantitative definition of asymmetrical loading tunnels.   Iranian Journal of Science and Technology, Transactions of Civil Engineering,   47(1), 457-468. (4, IF = 1.7)

122.      Ershadnia,   R., Wallace, C. D., Hosseini, S. A., Dai, Z., & Soltanian, M. R. (2021).   Capillary heterogeneity linked to methane lateral migration in shallow   unconfined aquifers. Geophysical Research Letters, 48(23), e2021GL095032. (1, IF = 4.6, NI)

123.      Li,   H., Zhu, L., Dai, Z., Gong, H., Guo, T., Guo, G., Wang, J., & Teatini, P.   (2021). Spatiotemporal modeling of land subsidence using a geographically   weighted deep learning method based on PS-InSAR. Science of the Total   Environment, 799, 149244. (1, IF = 8.2)

124.      Wu,   Y., Li, Z., Yang, Y., Purchase, D., Lu, Y., & Dai, Z. (2021).   Extracellular polymeric substances facilitate the adsorption and migration of   Cu2+ and Cd2+ in saturated porous media. Biomolecules, 11(11), 1715. (2, IF = 4.8)

125.      Jia,   S., Dai, Z., Du, X., Meng, B., Yang, Z., & Lan, T. (2021). Quantitative   evaluation of groundwater and surface water interaction characteristics   during a dry season. Water and Environment Journal, 35(4), 1348-1361. (4, IF = 1.7)

126.      Li,   S., Zhang, G., Dai, Z., Jiang, S., & Sun, Y. (2021). Concurrent   decomposition and replacement of marine gas hydrate with the injection of   CO2-N2. Chemical Engineering Journal, 420, 129936. (1, IF = 13.3)

127.      Lü, X., Lu, T., Yang, T., Salonen, H., Dai, Z.,   Droege, P., & Chen, H. (2021). Improving the energy efficiency of   buildings based on fluid dynamics models: A critical review. Energies,   14(17), 5384. (4, IF = 3)

128.      Zhang,   C., Zang, X., Dai, Z., Zhang, X., & Ma, Z. (2021). Remediation techniques   for cadmium-contaminated dredged river sediments after land disposal.   Sustainability, 13(11), 6093. (3, IF = 3.3)

129.      Zhang,   G., Guo, J., Xu, B., Xu, L., Dai, Z., Yin, S., & Soltanian, M. R. (2021).   Quantitative analysis and evaluation of coal mine geological structures based   on fractal theory. Energies, 14(7), 1925. (4, IF = 3)

130.      Lee,   S. Y., Hnottavange-Telleen, K., Jia, W., Xiao, T., Viswanathan, H., Chu, S.,   Dai, Z., Pan, F., McPherson, B., & Balch, R. (2021). Risk assessment and   management workflowAn example of the Southwest Regional Partnership. Energies, 14(7), 1908.   (4, IF = 3)

131.      Jia,   W., Xiao, T., Wu, Z., Dai, Z., & McPherson, B. (2021). Impact of mineral   reactive surface area on forecasting geological carbon sequestration in a   CO2-EOR field. Energies, 14(1608), 1608. (4, IF = 3)

132.      Li,   H., Zhu, L., Guo, G., Zhang, Y., Dai, Z., Li, X., Chang, L., & Teatini,   P. (2021). Land subsidence due to groundwater pumping: Hazard probability   assessment through the combination of Bayesian model and fuzzy set theory.   Natural Hazards and Earth System Sciences, 21(2), 823-835. (2, IF = 4.2)

133.      Xu,   B., Dong, S., Yin, S., Li, S., Xu, Y., & Dai, Z. (2021). Analysis of   crack initiation and propagation thresholds of inclined cracks under   high-pressure grouting in Ordovician limestone. Energies, 14(2), 360. (4, IF = 3)

134.      Xiao,   T., Jia, W., Esser, R., Dai, Z., & McPherson, B. (2021). Potential   chemical impacts of subsurface CO2: An integrated experimental and numerical   assessment for a case study of the Ogallala aquifer. Water Resources   Research, 57(5), e2021WR030261. (1, IF = 4.6)

135.      Xia,   H., Zhang, W., Yang, Z., Dai, Z., & Yang, Y. (2021). Spectrophotometric   determination of p-nitrophenol under ENP interference. Journal of Analytical   Methods in Chemistry, 2021(1), 6682722. (3, IF = 2.3)

136.      Mahdaviara,   M., Amar, M. N., Hemmati-Sarapardeh, A., Dai, Z., Zhang, C., Xiao, T., &   Zhang, X. (2021). Toward smart schemes for modeling CO2 solubility in crude   oil: Application to carbon dioxide enhanced oil recovery. Fuel, 285(2),   119147. (1, IF = 6.7)

137.      Dong,   S., Xu, L., Dai, Z., Xu, B., Yu, Q., Yin, S., Zhang, X., Zhang, C., Zang, X.,   Zhou, X., & Zhang, Z. (2020). A novel fractal model for estimating   permeability in low-permeable sandstone reservoirs. Fractals, 28(8), 1-15. (2, IF = 3.3)

138.      Xiao,   T., McPherson, B., Esser, R., Jia, W., Dai, Z., Chu, S., & Pan, F.   (2020). Chemical impacts of potential CO2 and brine leakage on groundwater   quality with quantitative risk assessment: A case study of the Farnsworth   Unit. Energies, 13(24), 6574. (4, IF = 3)

139.      Sun,   Q., Ampomah, W., Kutsienyo, E. J., Appold, M., Adu-Gyamfi, B., Dai, Z., &   Soltanian, M. R. (2020). Assessment of CO2 trapping mechanisms in partially   depleted oil-bearing sands. Fuel, 278, 118356. (1, IF = 6.7)

140.      Zhang,   X., Chen, J., Hu, B. X., Yu, Y., So, J., Zhang, J., Dai, Z., Yin, S.,   Soltanian, M. R., & Ren, W. (2020). Application of risk assessment in   determination of soil remediation targets. Stochastic Environmental Research   and Risk Assessment, 34(10), 1659-1673. (2, IF = 3.9)

141.      You,   J., Ampomah, W., Sun, Q., Kutsienyo, E. J., Balch, R. S., Dai, Z., Cather,   M., & Zhang, X. (2020). Machine learning based co-optimization of carbon   dioxide sequestration and oil recovery in CO2-EOR project. Journal of Cleaner   Production, 260, 120866. (1, IF = 9.7)

142.      Wang,   S., Tang, J., Li, Z., Liu, Y., Zhou, Z., Wang, J., Qu, Y., & Dai, Z.   (2020). Carbon mineralization under different saline-alkali stress conditions   in paddy fields of northeast China. Sustainability, 12(7), 2921. (3, IF = 3.3)

143.      Hemmati-Sarapardeh,   A., Amar, M. N., Soltanian, M. R., Dai, Z., & Zhang, X. (2020). Modeling   CO2 solubility in water at high pressure and temperature conditions. Energy   & Fuels, 34(4), 4761-4776. (3, IF = 5.2)

144.      Zhu,   L., A Franceschini, H Gong, M Ferronato, Z Dai, Y Ke, Y Pan, X Li, R Wang, P   Teatini, 3D facies and geomechanical modelling of land subsidence in the   Chaobai plain, Beijing, Water Resour. Res., 56(3), 2020. (1, IF4.31)

145.      Sun,   Q, W. Ampomah, E J Kutsienyo, M Appold, B Adu-Gyamfi, Z. Dai, R. Soltanian,   Assessment of CO2 trapping mechanisms in partially depleted oil-bearing   sands, Fuel 278: 118356, 2020. (1, IF5.58)

146.      Ampomah,   W., R.S. Balch, D. Rose-Coss, R. Will, M. Cather, Z. Dai, M.R. Soltanian,   Optimum Design of CO2 Storage and Oil Recovery under Geological Uncertainty,   Applied Energy, 195, 80-92, 2017. (1, IF 8.85)

147.      Zou,   Y., C. Yang, D. Wu, C. Yan, M. Zeng, Y. Lan, Z. Dai, Probabilistic assessment   of shale gas production and water demand at Xiuwu Basin in China, Applied   Energy, 180, 185195, 2016. (1, IF8.85)

148.      Zhu,   L., H. Gong, Z. Dai, G. Guo, and P. Teatini, Modelling 3D permeability   distribution in alluvial fans using facies architecture and geophysical   acquisitions, Hydrology and Earth System Sciences, 21, 721-733, 2017. (1, IF5.15)

149.      De   Silva, GPD, PG Ranjith, MSA Perera, Z. Dai, SQ Yang, An experimental   evaluation of unique CO2 flow behavior in loosely held fine particles rich   sandstone under deep reservoir conditions and influencing factors, Energy   119, 121-137, 2017. (1, IF5.5)

150.      Dong,   S., L. Xu, Z. Dai, Q. Yu, S. Yin, X. Zhang, C. Zhang, X. Zang, X. Zhou, Z.   Zhang, A Novel Fractal Model for Estimating Permeability in Low-Permeable   Sandstone Reservoirs, Fractals-CGPSNS. 28(8): 2040005, 2020. (2, IF4.54)

151.      Xiao,   T., B McPherson*, R. Esser, W. Jia, Z. Dai, S Chu, F Pan, H Viswanathan,   Chemical Impacts of Potential CO2 and Brine Leakage on Groundwater Quality   with Quantitative Risk Assessment: A Case Study of the Farnsworth Unit,   Energies, 993550, 2020, (3, IF2.7)

152.      Zhang,   X., F Dong, H Dai, BX Hu, G Qin, D Li, X Lv, Z Dai, MR Soltanian, Influence   of lunar semidiurnal tides on groundwater dynamics in estuarine aquifer,   Hydrogeology J., 2020. (3, IF2.4)

153.      Wang,   S, J Tang, Z Li, Y Liu, Z Zhou, J Wang, Y Qu, Z Dai, Carbon Mineralization   under Different SalineAlkali Stress Conditions in Paddy Fields of Northeast China,   Sustainability, 12(7):2921, 2020, (4, IF2.6)

154.      Yu,   Q., Z Dai*, Z Zhang, MR Soltanian, S Yin, Estimation of Sandstone   Permeability with SEM Images Based on Fractal Theory, Transport in Porous   Media 126 (3), 701-712, 2019. (3, IF2.0)

155.      Samper,   J., Z. Dai, J. Molinero, M. Garcia-Gutierrez, T. Missana, M. Mingarro,   Interpretation of solute transport experiments in compacted Ca-bentonites   using inverse modeling, Physics and Chem. of the Earth, 31, 640-648, 2006. (4, IF1.96)

156.      Dong,   S., B Xu, S Yin, Y. Han, X. Zhang, Z. Dai, Water Resources Utilization and   Protection in the Coal Mining Area of Northern China, Scientific Reports,   9:1214, 2019. (3, IF4.0)

157.      Dai,   Z., R. Ritzi, and D. Dominic, Estimating Parameters for Hierarchical   Permeability Correlation Models, Aquifer Characterization, SEPM Publishers,   No. 80, 4154, 2004. (No   IF)

158.      Proce,   C., R. Ritzi, D. Dominic and Z. Dai, Modeling multi-scale heterogeneity and   aquifer interconnectivity, Ground Water, 42(5), 658-670, 2004. (3, IF2.3)

159.      Dai,   Z.*, H. Viswanathan, J. Fessenden-Rahn, R. Middleton, Uncertainty   Quantification for CO2-Enhanced Oil Recovery, Energy Procedia, 63, 7685-7693,   2014.

160.      Dai,   Z., H Viswanathan, T Xiao, A Hakala, C Lopano, G Guthrie, Reactive Transport   Modeling of Geological Carbon Storage Associated With CO2 and Brine Leakage,   Science of Carbon Storage in Deep Saline Formations, 67-87, 2019.

161.      Song,   X., X Chen, M Ye, Z Dai, G Hammond, JM Zachara, Delineating Facies Spatial   Distribution by Integrating Ensemble Data Assimilationand Indicator   Geostatistics With Level-Set Transformation, Water Resour. Res., 55(4),   2652-2671, 2019 (1, IF4.31)

162.      Li,   S., Wang, C.;,Zhang, X., Zou, L., Dai, Z.,    Classification and characterization of bound water in marine mucky   silty clay, J. of Soil and Sediments, 19(5), 2509-2519, 2019. (3, IF2.7)

163.      Samper,   J., Zheng, L., Montenegro, L., Fernández, A., Rivas, P., Dai, Z., Forward and inverse   modeling of multicomponent reactive transport in single and double porosity   media, Advances in Understanding Engineered Clay Barriers, p493-503, 2005.   (No IF)

164.      Jia,   W., McPherson, B., Pan, F., Dai, Z., Moodie, N. and Xiao, T., Impact of   Three-Phase Relative Permeability and Hysteresis Models on Forecasts of   Storage Associated with CO2-EOR. Water Resour. Res., 54, 1-18, 2018. (1, IF4.31)

165.      Jia,   W., McPherson, B., Pan, F., Dai, Z., Xiao, T., Uncertainty quantification of   CO2 storage using Bayesian model averaging and polynomial chaos expansion,   Int. J. of Greenhouse Gas Control 71, 104115, 2018. (2, IF3.2)

166.      Lv,   H., X Su, Y Wang, Z Dai, M Liu, Effectiveness and mechanism of natural   attenuation at a petroleum-hydrocarbon contaminated site, Chemosphere 206,   293-301, 2018. (2, IF5.78)

167.      Su,   X., S Lu, W Yuan, NC Woo, Z Dai, W Dong, S Du, X Zhang, Redox zonation for   different groundwater flow paths during bank filtration: a case study at Liao   River, Shenyang, northeastern China, Hydrogeology Journal 26 (5), 1573-1589,   2018. (3, IF2.64)

168.      Xu,   B., M Ye, S Dong, Z Dai, Y Pei, A new model for simulating spring discharge   recession and estimating effective porosity of karst aquifers, J. of Hydrol   562, 609-622, 2018. (1, IF4.5)

169.      Soltanian,   R., Z. Dai, C. Yang, M.A. Amooie, J. Moortgat, Multicomponent competitive   monovalent cation exchange in hierarchical porous media with multimodal   reactive mineral facies, Stochastic Environmental Research and Risk   Assessment, 32(1), 295-3102018. (2, IF2.25)

170.      Bacon,   D., N. Qafoku, Z. Dai, E. Keating, C. Brown, Modeling the Impact of Carbon   Dioxide Leakage into an Unconfined, Oxidizing Carbonate Aquifer, Int. J. of   Greenhouse Gas Control, 44, 290-299, 2016. (2, IF3.)

171.      Soltanian,   R., R. Ritzi, C. Huang, Z. Dai, Relating reactive solute transport to   hierarchical and multiscale sedimentary architecture in a Lagrangian-based   transport model: 1. Time-dependent effective retardation factor, Water   Resour. Res., 51(3), 1586-1600, 2015. (1, IF4.31)

172.      Soltanian,   R., R. Ritzi, C. Huang, Z. Dai, Relating reactive solute transport to   hierarchical and multi-1 scale sedimentary architecture in a Lagrangian-based   transport model: 2. Particle displacement variance, Water Resour. Res.,   51(3), 16011618, 2015.   (1, IF4.31)

173.      Zhu,   L., Gong, H.L., Li, X., Wang, R., Chen, B., Dai, Z., Teatini P.  Land subsidence due to groundwater   withdrawal in the northern Beijing plain, China, Engineering Geology, 193,   243255, 2015. (1, IF4.78)

174.      Chen,   L, Q Kang, Z Dai, HS Viswanathan, W Tao, Permeability prediction of shale   matrix reconstructed using the elementary building block model, Fuel, 160,   346-356, 2015. (2, IF5.78)

175.      Soltanian,   R., R. Ritzi, C. Huang, Z. Dai , H. Deng, A note on upscaling retardation   factor in hierarchical porous media with multimodal reactive mineral facies,   Transport in Porous Media, 108(2), 355-366, 2015. (3, IF2.0)

176.      Soltanian,   R., R. Ritzi, Z. Dai, C. Huang, D. Dominic, Transport of kinetically sorbing   solutes in heterogeneous sediments with multimodal conductivity and   hierarchical organization across scales, Stochastic Environmental Research   and Risk Assessment, 29(3), 709-726, 2015. (33, IF2.64)

177.      Soltanian,   R., R. Ritzi, Z. Dai, C. Huang, Reactive solute transport in physically and   chemically heterogeneous porous media with multimodal reactive mineral   facies: The Lagrangian approach, Chemosphere, 122: 235-244, 2015. (2, IF5.78)

178.      Carroll,   S., E. Keating, K. Mansoor, Z. Dai, Y. Sun, W. Trainor-Guitton, C. Brown, D.   Bacon,  Key Factors for Determining   Groundwater Impacts Due to Leakage from Geologic Carbon Sequestration   Reservoirs, Int. J. of Greenhouse Gas Control,  29, 153168, 2014. (2, IF3.64)

179.      Su,   X., G. Cui, H. Wang, Z. Dai, N. Woo, W. YuanBiogeochemical zonation of sulfur during the   discharge of groundwater to lake in desert plateau (Dakebo Lake, NW China)Environmental Geochemistry and Health1-12, 2018. (3, IF3.64)

180.      Zhang,   Y., J. Zeng, Z. Dai, H. Viswanathan, T. Xiao, Y. Ma, X. Feng, Experimental   Investigation on oil Migration and Accumulation in Tight Sandstones, J. of   Petroleum Science and Engineering 160, 267-275, 2018. (2, IF2.65)

181.      Soltanian,   R., Z DaiGeologic CO2   sequestration: progress and challenges, Geomechanics and Geophysics for   Geo-Energy and Geo-Resources, 3(3), 221223, 2017. (4, IF2.22)

182.      Soltanian,   R., A Sun, Z Dai* Reactive transport in the complex heterogeneous alluvial aquifer of   Fortymile Wash, NevadaChemosphere, 179, 379-386, 2017. (2, IF5.78)

183.      Xu,   W.,  X. Su, Z. Dai, F. Yang, P. Zhu, Y.   Huang, Multi-tracer investigation of river and groundwater interactions: a   case study in Nalenggele River basin, northwest China, Hydrogeology Journal,   25 (7), 2015-2029, 2017. (3, IF2.64)

184.      Su,   X., S. Lu, R. Gao, D. Su, W. Yuan, Z. Dai & E. N. PapavasilopoulosGroundwater flow path determination during   riverbank filtration affected by groundwater exploitation: a case study of   Liao River, Northeast China Hydrological Sciences Journal62(14),    2331-2347, 2017. (3, IF2.2)

185.      Dai,   Z.*, H. Viswanathan, T. Xiao, R. Middleton, F. Pan, W. Ampomah, C. Yang, Y.   Zou, W. Jia, S. Lee, M. Cather, R. Balch, and B. McPherson, CO2 Sequestration   and Enhanced Oil Recovery at Depleted Oil/Gas Reservoirs,  Energy Procedia, 1146957-6967, 2017.

186.      Dai,   Z.*, Y. Zhang, P.H. Stauffer, T. Xiao, M. Zhang, W. Ampomah, C. Yang, Y.   Zhou, M. Ding, M. Soltanian, J. Bielicki, R. Middleton, Injectivity   Evaluation for Offshore CO2 Sequestration in Marine Sediments,  Energy Procedia, 1142921-2932, 2017.

187.      Ampomah,   W., R.S. Balch, R. Will, M. Cather, D. Gunda, Z. Dai, Co-optimization of   CO2-EOR and Storage Processes under Geological Uncertainty,  Energy Procedia, 1146928-6941, 2017.

188.      Ampomah,   W., R.S. Balch, R.B. Grigg, M. White, N. Moodie, R.A. Will, M. Cather, Z.   Dai, Performance Assessment of CO2-Enhanced Oil Recovery and Storage in the   Morrow Reservoir, Geomechanics and Geophysics for Geo-Energy and   Geo-Resources, 3(3), 245-263, 2017. (4, IF2.22)

189.      Yang,   C., Jamison, K., Xue, L., Treviño, R., Hovorka, S., Dai, Z., Fredin, L.,   Quantitative assessment of soil CO2 concentration and stable carbon isotope   for leakage detection at geological carbon sequestration sites, Greenhouse   Gas Sci Technol., 7 (4), 680691, 2017. (4, IF1.7)

190.      Xiao,   T., B. McPherson, A. Bordelon, H. Viswanathan, Z. Dai, H. Tian, R. Esser, W.   Jia, W. Carey, T. Xu, Reactive transport modeling of CO2-cement-rock   interactions at the well-caprock-reservoir interface, Int. J. of Greenhouse   Gas Control, 63, 126-140, 2017. (2, IF3.64)

191.      Xiao,   T., Z. Dai, B McPherson, H Viswanathan, W Jia, Reactive transport modeling of   arsenic mobilization in shallow groundwater: impacts of CO2 and brine   leakage, Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 3(3),   339-350, 2017. (4, IF2.22)

192.      Jia,   W., B. McPherson, Z. Dai, T. Irons, T. Xiao, Evaluation of Pressure   Management Strategies and Impact of Simplifications for A Post-EOR CO2   Storage Project, Geomechanics and Geophysics for Geo-Energy and   Geo-Resources, 3(3), 281-293, 2017. (4, IF2.22)

193.      Amooie,   M.A., M. R. Soltanian, F. Xiong, Z. Dai, J. Moortgat, Mixing and spreading of   multiphase fluids in heterogeneous bimodal porous media, Geomechanics and   Geophysics for Geo-Energy and Geo-Resources, 3(3), 225-244, 2017. (4, IF2.22)

194.      Jia,   W., F. Pan, Z. Dai, T. Xiao, B. McPherson, Probabilistic Analysis  of CO2 Trapping Mechanisms in a Sandstone   CO2-EOR Field in Northern Texas, USA, Energy Procedia, 114, 4321-4329, 2017.  

195.      Ampomah,   W., R.S. Balch, R.B. Grigg, B. McPherson, B. McPherson, R.A. Will, S. Lee, Z.   Dai, F. Pan, Co-optimization of CO2-EOR and storage processes in mature oil   reservoirs, Greenhouse Gas Sci Technol. 7 (1), 128-142, 2017. (4, IF1.7)

196.      Soltanian,   R., M.A. Amooie, Z. Dai, D. Cole, Y. Moortgat, Critical Dynamics of Gravito-   Convective Mixing in Geological Carbon Sequestration, Scientific Reports,   6:35921 | DOI: 10.1038/srep35921, 2016. (3, IF4.0)

197.      Ampomah,   W., R.S. Balch, R.B. Grigg, R. Will, S.Y., Lee, Z. Dai, Performance of   CO2-EOR and Storage Processes under Uncertainty, SPE-180084-MS, Society of   Petroleum Engineering, 2016. (no IF)

198.      Pan,   F., B. J. McPherson, Z. Dai, W. Jia, S. Lee, W. Ampomah, H. Viswanathan, R.   Esser, Uncertainty Analysis of Carbon Sequestration in an Active CO2-EOR   Field, Int. J. of Greenh. Gas Control, 51, 18-28, 2016. (分区2, IF3.64)

199.      Keating,   E.H., D.H. Bacon, S. Carroll, K. Mansoor, Y. Sun, L. Zheng, D. Harp, Z. Dai,

Applicability of aquifer impact models to support   decisions at CO2 sequestration sites, Int. J. Greenh. Gas Control, 52,   319-330, 2016. (2, IF3.64)

200.      Keating,   EH, Harp, DH, Dai, Z., Pawar RJ, Reduced Order Models for Assessing CO2   Impacts in Shallow Unconfined Aquifers, Int. J. of Greenhouse Gas Control,   46, 187-196, 2016.  (2, IF3.64)

201.      Ampomah,   W.,  R.S. Balch, M. Cather, D.   Rose-Coss, Z. Dai, J. Heath,T. Dewers, P. Mozley, Evaluation of CO2 Storage   Mechanisms in CO2 Enhanced Oil Recovery Sites, Energy and Fuel, 30 (10), 85458555, 2016. (2, IF3.1)

202.      Liu,   G., Z. Dai, B Xing, M Wang, Y Meng, J Li, Application and prospect of bionic   algorithm in groundwater model inversion, Hydrogeology & Engineering   Geology 43 (1), 41-49, 2016.

203.      Keating,   E., Z. Dai, D. Dempsey, R. Pawar, Effective detection of CO2 leakage: a   comparison of groundwater sampling and pressure monitoring, Energy Procedia,   63, 4163-4171, 2014.

204.      Bacon,   D.H., Z. Dai, L. Zheng, Geochemical impacts of carbon dioxide, brine, trace   metal and organic leakage into an unconfined, oxidizing limestone aquifer,   Energy Procedia, 63, 4684-4707, 2014.

205.      Viswanathan   H., Z. Dai, C. Lopano, E. Keating, J. A. Hakala, K. G. Scheckel, L. Zheng, G.   D. Guthrie, R. Pawar, Developing a robust geochemical and reactive transport   model to evaluate possible sources of arsenic at the CO2 sequestration   natural analog site in Chimayo, New Mexico, Int. J. of Greenhouse Gas   Control, 10, 199214, 2012. (2, IF3.64)

206.      Deng,   H., P. Stauffer, Z. Dai, Z. Jiao, R. Surdam, Simulation of industrial-scale   CO2 storage: Multi-scale heterogeneity and its impacts on storage capacity,   injectivity and leakage, Int. J. of Greenhouse Gas Control, 10, 397418, 2012. (2, IF3.64)

207.      Samper,   J, C Yang, L. Zheng, L. Montenegro, T. Xu, Z. Dai, G Zhang, C Lu & S   Moreira, CORE2D V4: A code for water flow, heat and solute transport,   geochemical reactions, and microbial processes, Groundwater Reactive   Transport Models, F Zhang, G-T Yeh, C Parker & X Shi (Ed), Bentham   Science Publishers, p 161-186, ISBN 978-1-60805-029-1, 2012.

208.      Garcia-Gutiérrez, M., T. Missana, M. Mingarro, J. Samper, Z.   Dai and J. Molinero, Solute Transport Properties of Compacted Ca-bentonite   Used in FEBEX Project, J. Contaminant Hydrology, 47, 127-137, 2001. (33, IF2.65)


Research Projects   (Project Leader = PL)

1.    National   Key R&D Program of China: An integrated framework for real-time   monitoring, modeling, and early-warning of soil contaminant sites   (No.2018YFC1800900), Program Leader/Chef Scientist, 2018-2022;

2.    National   Key R&D Program of ChinaProject 4: AI-based flow and contaminant transport modeling in soil   contaminant sites (No.2018YFC1800904), PL, 2018-2022;

3.    National   Natural Science Foundation of China, United Found for Key Project: The scale   effect of radionuclide transport parameters in multiscale fracture systems,   (NSFC:U2267217), PL, 2023-2026;

4.    National   Natural Science Foundation of China, Key Projects for CCUS: Integrated CCUS   theory and technique based on carbon reduction objective for the   high-water-content reservoirs (NSFC: 42141011-03), PL, 2022-2025;

5.    National   Natural Science Foundation of China: Parameter scaling and uncertainty   analysis of groundwater solute transport models (NSFC:41772253), PL,   2018-2021;

6.    Program   for JLU Science and Technology Innovative Research Team: AI-based water flow   and contaminant transport modeling and early-warning in multi-scale   subsurface systems (JLUSTIRT-2019TD-35), PL, 2019-2022;

7.    Preliminary   Research Project for National 14-5 Program: Smart simulations for   radionuclide reactive transport in heterogeneous aquifers (YY2001-2020-35),   PL, 2020-2021;

8.    Preliminary   Research Project for National 14-5 Program: Semi-analytical algorithms for   radionuclide reactive transport in fractured and pipe rocks (YY2001-2020-36),   PL, 2020-2021;

9.    Province-level   Research Project: Numerical simulations for strategy plan of contaminated   water/soil remediation, PL, 2019-2021;

10.  Technical   Service Project: Grouting solute transport experiment and parameter   optimization for protecting water inrush disasters in coal mines, PL,   2018-2021;

11.  Technical   Service Project: Numerical algorithms for predicting water inrush rates in   steep-coal-seam mines, PL, 2018-2022; and

12.  Technical   Service Project: Conductivity variations and hydrodynamic effect in river-bed


Authorized Patents

1.    A   small rolling nested sand screening device, China, ZL202010334818.2,   2024-09-17, Rank 1/5, Jilin University

2.    Inversion   method for aquifer structure identification based on discrete convolution   residual networks, China, ZL202110354004.X, 2022-11-15, Rank 1/2, Jilin   University

3.    Adjustable   small-sized rock samples cutting and grinding integrated device, China,   ZL202010800515.X 2022-07-19, Rank 1/7, Jilin University

4.    Stage-wise   stochastic inversion method for aquifer structure identification based on   deep learning, China, ZL202110811519.8, 2022-07-12, Rank 1/3, Jilin   University

5.    Inversion   method for multicomponent reactive solute transport parameters identification   based on deep neural networks, China, ZL202110100068.7, 2021-08-17, Rank 1/3,   Jilin University

6.    Simulation   device and experimental method for three-dimensional solute transport in   porous medium, China, ZL202010303042.8, 2020-12-22 1/4 Jilin University

7.    Adjustable   Rock-like Material Crack Prefabrication Device, Australia, 2021105045,   2021-09-15, Rank 1/7, Jilin University

8.    Stage-wise   stochastic inversion identification method of aquifer structure based on deep   learning, Australia, 2021104794, 2021-09-15, Rank 1/3 Jilin University

9.    An   Integrated Adjustable Small-sized Rock Sample Cutting and Grinding Device,   Australia, 2021104697, 2021-09-15, Rank 1/7 Jilin University

10.  Inverse   identification method of aquifer structure based on octave convolution   residual network, Australia, 2021102281, 2021-06-09, Rank 1/2 Jilin   University

11.  A Deep   Neural Network Based Inverse Modeling Method for Multicomponent Reactive   Transport, Australia, 2021101831, 2021-05-12, Rank 1/3 Jilin University

12.  Simulation   Device and Experimental Method for Three-dimensional Solute Migration in   Porous Medium, Australia, 2020103611, 2021-01-20, Rank 1/4 Jilin University


Honors and Awards

1.    National   Expert of Talent Long-term Program, 2017.

2.    Superior   performance and teamwork awards, Los Alamos Awards Program, 2012.

3.    A   Fellow of the Geological Society of America, GSA Fellow, since 2010.

4.    Excellent   organizer of Brown Bag Seminar Series, Los Alamos Awards Program, 2009.  

5.    Outstanding   Innovation and Technology Transfer Awards, Los Alamos National Lab, 2008.

6.    Cum   Laude distinction PhD, University of La Coruña, Spain, 2000.


Software Developed

1.    Dai,   Z. and J. Samper, INVERSE-CORE: A Code for solving the inverse problem of   water flow and reactive solute transport, USERS MANUAL, Version 1.0, University of La Coruña,   343p, December, 2001.

2.    Dai,   Z. and J. Samper, INVERSE-CORE: A Code for inverse problem of water flow and   reactive solute transport, USERS MANUAL, Version 0, University of La Coruña, 240   p, December, 1999.

3.    Dai,   Z., and R.W. Ritzi, A code for transport modeling in heterogeneous sediments   with multimodal conductivity and hierarchical organization across scales   (with MATLAB), Wright State University, 2003.

4.    Dai,   Z., and R.W. Ritzi, A code for estimating spatial correlation structure for   permeability in sediments with hierarchical organization, Wright State   University, 2003.

5.    Dai,   Z., and R.W. Ritzi, A code for estimating interconnectivity in heterogeneous   aquifers with indicator data, Wright State University, 2004.

6.    Dai,   Z., A code for reservoir characterizations with transition probability-based   indicator simulation, sequential Gaussian simulation and Pilot-point-based   random field simulation, Los Alamos National Laboratory, 2011.

7.    Dai,   Z., A code for uncertainty quantification of shallow groundwater impact of   CO2 geological sequestrations, 2012.

8.    Dai,   Z., A code for optimizing CO2 sequestration and enhanced oil/gas recovery in   depleted reservoirs, 2014.

Recent Professional   Activities

1. Invited   talk   of the ICDP Deep Earth Processes Conference, on “CO2 Sequestration and Risk Analysis for CO2-EOR at   Deep Oil Reservoirs”, Changchun, July, 2016.

2. Served in the international organizing   committee of the INTERNATIONAL CONFERENCE ON GEO-MECHANICS, GEO-ENERGY AND   GEO-RESOURCES, MELBOURNE, AUSTRALIA, SEPTEMBER, 2016.

3. Invited   talk   of American Geophysical Union (AGU), Annual Meeting,   on “CO2 Accounting and Risk Analysis for CO2   Sequestration at Enhanced Oil Recovery Sites”,  San Francisco, December, 2015.

4.  A talk in GHGT-12 Conference, “Uncertainty quantification for CO2   sequestration and enhanced oil recovery”, Austin, Texas, October, 2014.

5. Invited talk of American Geophysical Union (AGU), Annual Meeting, on   “Impact of the leaked CO2 from deep reservoirs on quality of   shallow groundwater”,  San Francisco,   December, 2012.

6. Invited   talk   of Geological Society of America (GSA), Annual Meeting, on “Uncertainty quantification of   aquifer structures with multi-scale heterogeneous features”, Denver, October,   2010.

7. Invited   Seminar Speaker, “Identification of aquifer structures with   multi-scale heterogeneous features”, Department of Scientific Computing,   Florida State University, Tallahassee, October, 2009.

8. Poster   presentation in American Geophysical Union   (AGU), Annual Meeting, on “Upscaling Reactive Mass Transport for Contaminant   Transport in Fractured Rocks”, San Francisco, December, 2009.

9. Speaker of American Geophysical Union (AGU), Annual   Meeting, on “Sensitivity Analysis of Transition Probability Models to Aquifer   Structure Parameters for Identifying Aquifer Heterogeneity”, San Francisco,   December, 2008.

10. Poster presentation in American Geophysical Union (AGU), Annual Meeting, on   “Upscaling Sorption Coefficient for Contaminant Transport in Multimodal   Mineral Facies”, (Deng, H., Z. Dai, A. Wolfsberg, Z. Lu, and M. Ye ), San   Francisco, December, 2008.

11. Speaker of the XVII International   Conference on Computational Methods in Water Resources (CMWR 2008), “Modeling Flow and Reactive   Solute Transport in Multi-scale Fractured Rock”, San Francisco, July, 2008.

12. Poster presentation in UGTA TIE Meeting on   “A Pahute Mesa Pump Test Simulator: A Quick Extraction from the CAU Model for   Evaluating Pumping Scenarios”, Las Vegas, NV, May 12, 2008.

13. Poster presentation in LDRD TIE meeting on   “Subsurface Transport Parameter Scaling with Multiscale Transition   Probability Models”, Los Alamos, NM, September 8, 2008.

14. Harp D. R., Z. Dai, A. V. Wolfsberg, J. A.   Vrugt, B. A. Robinson, V. V. Vesselinov (2008), Aquifer structure   identification using stochastic inversion, Talk for The XVII International   Conference on Computational Methods in Water Resources (CMWR), 2008.

15. Speaker of American   Geophysical Union (AGU), Annual Meeting, on “Upscaling transport parameters   and processes for heterogeneous fractured rocks”, San Francisco, December,   2007.

16. Invited   talk in National Ground Water   Association (NGWA) Ground Water Summit on “Estimating Hydrofacies   Parameters for a Stratified Aquifer System”, Albuquerque, New Mexico, 5/1-4,   2007.

17. Speaker of Geological Society of America (GSA), Annual Meeting, on “A   stepwise inversion of groundwater flow model from multi-scale observation   data”, Denver, October, 2007.

18. Speaker of Geological Society of America (GSA), Annual Meeting, on “Scale   dependence of flow and transport parameters in fractured rock”, Denver,   October, 2007.

19. Poster presentation in EBTAG Meeting on   “Coupled inversion of groundwater flow model with pumping test and long-term   monitoring data”, Santa Fe, NM, March 8, 2007.

20. Poster presentation in UGTA TIE Meeting on   “Reactive Transport Modeling to Support CAU Models of Radionuclide Migration   in Fractured Tuffaceous Rock”, Las Vegas, NV, May 8-9, 2007.

21. Poster presentation in LDRD TIE meeting on   “Upscaling transport parameters with a hierarchical transition probability   model”, Los Alamos, June 20, 2007.

22. Speaker of American Geophysical Union (AGU), Annual Meeting, on “Upscaling matrix   diffusion coefficients for heterogeneous fractured rocks”, San Francisco,   December, 2006.

23. Invited Seminar Speaker, “Identification of   geochemical processes by multi-component reactive solute transport modeling”,   Department of Geology, University of South Carolina, Columbia, September,   2005.

24. Invited Seminar Speaker, “Modeling   multi-scale heterogeneity and aquifer interconnectivity”, Department of   Geology and Environmental Engineering, University of South Carolina, Aiken,   January, 2005.

25. Organizer   and Co-chair of the Topical Sessions of “Modeling Flow and Transport in   Chemically and Physically Heterogeneous Media I and II” for Geological Society of America (GSA), Annual Meeting, Denver, November, 2004.

26. Invited Seminar Speaker, “The inverse   problem of multi-component reactive solute transport in variably saturated   media”, Department of Environmental Engineering, Clemson University,   September, 2004.

27. Speaker of Geological Society of America (GSA), Annual Meeting, on “Inverse   modeling of water flow and multicomponent reactive transport in coastal   aquifer systems”, Denver, October, 2004.

28. Invited Speaker of Geological Society of   America (GSA), Annual Meeting,   on “Relating Spatial Correlation of Permeability to Sedimentary Architecture   in Outcrop-Analog Studies”, Seattle, October, 2003.

29. Speaker on “The inverse problem of   multi-component reactive solute transport: Application to the Aquia aquifer   in Maryland”, International Groundwater Symposium, Lawrence   Berkeley National Laboratory, Berkeley, 2002.

30. Colloquium Speaker on “The inverse problem   of multi-component reactive solute transport: Formulation and Application”,   Department of Geological Science, Wright State University, 2002.

31. Dai, Z., R.W. Ritzi, D.F.   Dominic and Y.N. Rubin, Estimating Parameters for Hierarchical   Permeability Correlation Models, (Poster), AGU 2002 Fall Meeting, San Francisco, December, 2002.

32. Dai, Z. and J. Samper, Inverse problem of   water flow and multi-component reactive solute transport: Application to the   Delta Aquitard in Spain. (Talk) In: New Approaches Characterizing Groundwater   Flow, Seiler & Wohnlich Ed. XXXI Int. IAH Congress, 2001.


Editorial and Review

1. Editorial   Board Member for   Scientific Reports, Nature Publishing Group, since 2015.

2. Editorial   Board Member for Geomechanics and Geophysics for Geo-Energy and   Geo-ResourcesSpringersince 2017.

3. Associate   Editor   for J. of Algorithms and Optimization,   The World Academic Publishing Co., Ltd,since 2015.

4. Invited   proposal reviewer for American   Chemical Society, Petroleum Research Fund (since 2012).

5. Invited   proposal reviewer for National Science Foundation-Division   of Earth Sciences, Hydrologic Sciences Program (2006-present).

6. Invited   proposal reviewer for Experimental Program to Stimulate   Competitive Research (EPSCoR) of the Department of Energy (2007).

7. Reviewer   for Journals: Nature   Climate Change, Environmental Science & Technology Letters,   Environmental Science & Technology, Geophysical Research Letters, Water   Research, Water Resources Research, J. of Hydrology, Int. J. of Greenhouse Gas Control, J. of Contaminant   Hydrology, Advance in Water Resources, Geosphere, Hydrologic processes, Hydrological   Sciences J., Hydrogeology J. and   Ground Water.

Language: English, Chinese, and Spanish

Computer Skill: FORTRAN, MATLAB and C languages; Linux, Unix and   Window systems




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