Stochastic Simulation of Shallow Aquifer Heterogeneity and It’s Using in Contaminant Transport Modeling in Tianjin Plains

Lingling Liu; Lixin Yi; Xiaoqing Cheng

doi:doi:10.11648/j.wros.20140306.13

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Stochastic Simulation of Shallow Aquifer Heterogeneity and It’s Using in Contaminant Transport Modeling in Tianjin Plains

Lingling Liu, Lixin Yi, Xiaoqing Cheng

Published in Journal of Water Resources and Ocean Science (Volume 3, Issue 6)

Received: 26 November 2014 Accepted: 23 December 2014 Published: 29 December 2014

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Abstract

Shallow aquifers of Tianjin Plain formed by alluvium, marine and lacustrine sedimentary sequences, and resulting complex structure impose challenges to modeling groundwater flow and contaminant transport in it. To solve the problem and prove its feasibility, this study utilizes TProGS (Transition Probability Geostatistical Software) to describe hydrogeological structure of engineering sites, and then simulates contaminant transport by integrated using MT3D (Modular Three-Dimensional Transport Model) with traditional layered assignment approach and transition probability geostatistical approach respectively. The results show that aquifer structure on local scale is effectively described by TProGS and there is a smaller plume distribution in modeling with transition geostatistical approach than that with traditional layered assignment approach, it’s also more in line with the groundwater flow direction. It illustrates the advantages of stochastic simulation in detailed conceptualization of hydrogeological structure. Furthermore, it demonstrates that integrated utilizing stochastic simulations and MT3D is more practicable than traditional approach in engineering practice for both probabilistic estimation of hydraulic conductivities and probabilistic assessment of contaminant plume capture at a heterogeneous field site.

Published in	Journal of Water Resources and Ocean Science (Volume 3, Issue 6)
DOI	10.11648/j.wros.20140306.13
Page(s)	80-88
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Stochastic Simulation, Heterogeneity, TProGS, MT3D, Tianjin Plains

References

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[5]	Carle SF (1997) Implementation schemes for avoiding artifact discontinuities in simulated annealing. Math Geol29:231–244
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[8]	Carle SF, Weissmann GS, Fogg GE (1998) Conditional simulation of hydrofacies architecture:a transition probability approach/Markov approach. In: Hydrogeologic models of sedimentary aquifers. SEPM Spec Publ.pp147-170
[9]	Clement TP (1997) RT3D:A modular computer code for simulating reactive multi-species transport in 3-dimensional groundwater aquifers. Pacific Northwest National Laboratory, Washington
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[11]	Deutsch CV, Journel A (1992) GSLIB: Geostatistical Software Libary and Users Guide. Oxford University Press, New York
[12]	Engdahl NB, Vogler ET, Weissmann GS (2010) Evaluation of aquifer heterogeneity effects on river flow loss using a transition probability framework. Water Resour Res. doi:10.1029/2009WR007903.
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APA Style

Lingling Liu, Lixin Yi, Xiaoqing Cheng. (2014). Stochastic Simulation of Shallow Aquifer Heterogeneity and It’s Using in Contaminant Transport Modeling in Tianjin Plains. Journal of Water Resources and Ocean Science, 3(6), 80-88. https://doi.org/10.11648/j.wros.20140306.13

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ACS Style

Lingling Liu; Lixin Yi; Xiaoqing Cheng. Stochastic Simulation of Shallow Aquifer Heterogeneity and It’s Using in Contaminant Transport Modeling in Tianjin Plains. J. Water Resour. Ocean Sci. 2014, 3(6), 80-88. doi: 10.11648/j.wros.20140306.13

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AMA Style

Lingling Liu, Lixin Yi, Xiaoqing Cheng. Stochastic Simulation of Shallow Aquifer Heterogeneity and It’s Using in Contaminant Transport Modeling in Tianjin Plains. J Water Resour Ocean Sci. 2014;3(6):80-88. doi: 10.11648/j.wros.20140306.13

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@article{10.11648/j.wros.20140306.13,
  author = {Lingling Liu and Lixin Yi and Xiaoqing Cheng},
  title = {Stochastic Simulation of Shallow Aquifer Heterogeneity and It’s Using in Contaminant Transport Modeling in Tianjin Plains},
  journal = {Journal of Water Resources and Ocean Science},
  volume = {3},
  number = {6},
  pages = {80-88},
  doi = {10.11648/j.wros.20140306.13},
  url = {https://doi.org/10.11648/j.wros.20140306.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wros.20140306.13},
  abstract = {Shallow aquifers of Tianjin Plain formed by alluvium, marine and lacustrine sedimentary sequences, and resulting complex structure impose challenges to modeling groundwater flow and contaminant transport in it. To solve the problem and prove its feasibility, this study utilizes TProGS (Transition Probability Geostatistical Software) to describe hydrogeological structure of engineering sites, and then simulates contaminant transport by integrated using MT3D (Modular Three-Dimensional Transport Model) with traditional layered assignment approach and transition probability geostatistical approach respectively. The results show that aquifer structure on local scale is effectively described by TProGS and there is a smaller plume distribution in modeling with transition geostatistical approach than that with traditional layered assignment approach, it’s also more in line with the groundwater flow direction. It illustrates the advantages of stochastic simulation in detailed conceptualization of hydrogeological structure. Furthermore, it demonstrates that integrated utilizing stochastic simulations and MT3D is more practicable than traditional approach in engineering practice for both probabilistic estimation of hydraulic conductivities and probabilistic assessment of contaminant plume capture at a heterogeneous field site.},
 year = {2014}
}

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TY  - JOUR
T1  - Stochastic Simulation of Shallow Aquifer Heterogeneity and It’s Using in Contaminant Transport Modeling in Tianjin Plains
AU  - Lingling Liu
AU  - Lixin Yi
AU  - Xiaoqing Cheng
Y1  - 2014/12/29
PY  - 2014
N1  - https://doi.org/10.11648/j.wros.20140306.13
DO  - 10.11648/j.wros.20140306.13
T2  - Journal of Water Resources and Ocean Science
JF  - Journal of Water Resources and Ocean Science
JO  - Journal of Water Resources and Ocean Science
SP  - 80
EP  - 88
PB  - Science Publishing Group
SN  - 2328-7993
UR  - https://doi.org/10.11648/j.wros.20140306.13
AB  - Shallow aquifers of Tianjin Plain formed by alluvium, marine and lacustrine sedimentary sequences, and resulting complex structure impose challenges to modeling groundwater flow and contaminant transport in it. To solve the problem and prove its feasibility, this study utilizes TProGS (Transition Probability Geostatistical Software) to describe hydrogeological structure of engineering sites, and then simulates contaminant transport by integrated using MT3D (Modular Three-Dimensional Transport Model) with traditional layered assignment approach and transition probability geostatistical approach respectively. The results show that aquifer structure on local scale is effectively described by TProGS and there is a smaller plume distribution in modeling with transition geostatistical approach than that with traditional layered assignment approach, it’s also more in line with the groundwater flow direction. It illustrates the advantages of stochastic simulation in detailed conceptualization of hydrogeological structure. Furthermore, it demonstrates that integrated utilizing stochastic simulations and MT3D is more practicable than traditional approach in engineering practice for both probabilistic estimation of hydraulic conductivities and probabilistic assessment of contaminant plume capture at a heterogeneous field site.
VL  - 3
IS  - 6
ER  -

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Author Information

Lingling Liu

College of Environmental Science and Engineering, Nankai University, Tianjin, China
Lixin Yi

College of Environmental Science and Engineering, Nankai University, Tianjin, China
Xiaoqing Cheng

College of Environmental Science and Engineering, Nankai University, Tianjin, China

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Plain Text BibTeX RIS

APA Style

Lingling Liu, Lixin Yi, Xiaoqing Cheng. (2014). Stochastic Simulation of Shallow Aquifer Heterogeneity and It’s Using in Contaminant Transport Modeling in Tianjin Plains. Journal of Water Resources and Ocean Science, 3(6), 80-88. https://doi.org/10.11648/j.wros.20140306.13

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ACS Style

Lingling Liu; Lixin Yi; Xiaoqing Cheng. Stochastic Simulation of Shallow Aquifer Heterogeneity and It’s Using in Contaminant Transport Modeling in Tianjin Plains. J. Water Resour. Ocean Sci. 2014, 3(6), 80-88. doi: 10.11648/j.wros.20140306.13

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AMA Style

Lingling Liu, Lixin Yi, Xiaoqing Cheng. Stochastic Simulation of Shallow Aquifer Heterogeneity and It’s Using in Contaminant Transport Modeling in Tianjin Plains. J Water Resour Ocean Sci. 2014;3(6):80-88. doi: 10.11648/j.wros.20140306.13

Copy | Download

@article{10.11648/j.wros.20140306.13,
  author = {Lingling Liu and Lixin Yi and Xiaoqing Cheng},
  title = {Stochastic Simulation of Shallow Aquifer Heterogeneity and It’s Using in Contaminant Transport Modeling in Tianjin Plains},
  journal = {Journal of Water Resources and Ocean Science},
  volume = {3},
  number = {6},
  pages = {80-88},
  doi = {10.11648/j.wros.20140306.13},
  url = {https://doi.org/10.11648/j.wros.20140306.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wros.20140306.13},
  abstract = {Shallow aquifers of Tianjin Plain formed by alluvium, marine and lacustrine sedimentary sequences, and resulting complex structure impose challenges to modeling groundwater flow and contaminant transport in it. To solve the problem and prove its feasibility, this study utilizes TProGS (Transition Probability Geostatistical Software) to describe hydrogeological structure of engineering sites, and then simulates contaminant transport by integrated using MT3D (Modular Three-Dimensional Transport Model) with traditional layered assignment approach and transition probability geostatistical approach respectively. The results show that aquifer structure on local scale is effectively described by TProGS and there is a smaller plume distribution in modeling with transition geostatistical approach than that with traditional layered assignment approach, it’s also more in line with the groundwater flow direction. It illustrates the advantages of stochastic simulation in detailed conceptualization of hydrogeological structure. Furthermore, it demonstrates that integrated utilizing stochastic simulations and MT3D is more practicable than traditional approach in engineering practice for both probabilistic estimation of hydraulic conductivities and probabilistic assessment of contaminant plume capture at a heterogeneous field site.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Stochastic Simulation of Shallow Aquifer Heterogeneity and It’s Using in Contaminant Transport Modeling in Tianjin Plains
AU  - Lingling Liu
AU  - Lixin Yi
AU  - Xiaoqing Cheng
Y1  - 2014/12/29
PY  - 2014
N1  - https://doi.org/10.11648/j.wros.20140306.13
DO  - 10.11648/j.wros.20140306.13
T2  - Journal of Water Resources and Ocean Science
JF  - Journal of Water Resources and Ocean Science
JO  - Journal of Water Resources and Ocean Science
SP  - 80
EP  - 88
PB  - Science Publishing Group
SN  - 2328-7993
UR  - https://doi.org/10.11648/j.wros.20140306.13
AB  - Shallow aquifers of Tianjin Plain formed by alluvium, marine and lacustrine sedimentary sequences, and resulting complex structure impose challenges to modeling groundwater flow and contaminant transport in it. To solve the problem and prove its feasibility, this study utilizes TProGS (Transition Probability Geostatistical Software) to describe hydrogeological structure of engineering sites, and then simulates contaminant transport by integrated using MT3D (Modular Three-Dimensional Transport Model) with traditional layered assignment approach and transition probability geostatistical approach respectively. The results show that aquifer structure on local scale is effectively described by TProGS and there is a smaller plume distribution in modeling with transition geostatistical approach than that with traditional layered assignment approach, it’s also more in line with the groundwater flow direction. It illustrates the advantages of stochastic simulation in detailed conceptualization of hydrogeological structure. Furthermore, it demonstrates that integrated utilizing stochastic simulations and MT3D is more practicable than traditional approach in engineering practice for both probabilistic estimation of hydraulic conductivities and probabilistic assessment of contaminant plume capture at a heterogeneous field site.
VL  - 3
IS  - 6
ER  -

Copy | Download