Groundwater Simulations and Uncertainty Analysis Using MODFLOW and Geostatistical Approach with Conditioning Multi-Aquifer Spatial Covariance-Reference-Cited by-同舟云学术

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Groundwater Simulations and Uncertainty Analysis Using MODFLOW and Geostatistical Approach with Conditioning Multi-Aquifer Spatial Covariance

Published:2017-02-24 Issue:3 Volume:9 Page:164
ISSN:2073-4441
Container-title:Water
language:en
Short-container-title:Water

Author:

Lin Yu-Pin,Chen Yu-Wen,Chang Liang-Cheng,Yeh Ming-Sheng,Huang Guo-Hao,Petway Joy

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Link

http://www.mdpi.com/2073-4441/9/3/164/pdf

Reference46 articles.

1. Integrating multiple scales of hydraulic conductivity measurements in training image-based stochastic models

2. Identifying spatial characteristics of transmissivity using simulated annealing and kriging methods

3. Geologic heterogeneity and a comparison of two geostatistical models: Sequential Gaussian and transition probability-based geostatistical simulation

4. Reconstructing hydraulic conductivity field for hydrogeological modeling in an urban environment

5. Evaluation of two conceptual approaches for groundwater flow simulation for a rock domain at the block-scale for the Olkiluoto site, Finland

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1. Assessment of the Groundwater in Erbil Basin with Support of Visual MODFLOW;Journal of Ecological Engineering;2024-04-01

2. Geospatial Analysis of Transmissivity and Uncertainty in a Semi-Arid Karst Region;Water;2024-03-06

3. Stochastic-based approach to quantify the uncertainty of groundwater vulnerability;Stochastic Environmental Research and Risk Assessment;2023-01-02

4. Stochastic-based approach to quantify the uncertainty of groundwater vulnerability;2022-09-13

5. Stochastic nitrate simulation under hydraulic conductivity uncertainty of an agricultural basin aquifer at Eastern Thessaly, Greece;Environmental Science and Pollution Research;2021-07-28

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