Assessment of the subsurface hydrology of the UIC-NARL main camp, near Barrow, Alaska, 1993-94

1995 ◽  
Author(s):  
K.A. McCarthy ◽  
G.L. Solin
Keyword(s):  
Subsurface Hydrology

Deployment, calibration, and efficiency of SHUD model in cold and arid watersheds

2021 ◽  
Author(s):  
Lele Shu ◽  
Hao Chen ◽  
Xianhong Meng
Keyword(s):  
Water Movement ◽  
Yellow River ◽  
Hydrologic Model ◽  
Data Availability ◽  
Heihe River ◽  
Time Step ◽  
Subsurface Hydrology ◽  
The Usa ◽  
The One ◽  
Global Datasets

<p>The hydrologic model is ideal for experimenting and understanding the water movement and storage in a watershed from the upper mountain to the river outlet. Nevertheless, the model's performance, suitability, and data availability are the primary challenge for a modeler. This study introduces the Simulator for Hydrologic Unstructured Domains (SHUD), a surface-subsurface integrated hydrological model using the semi-discrete Finite Volume Method. Though the SHUD applies a fine time-step (in minutes) and flexible spatial domain decomposition (m to km) to simulate the fully coupled surface-subsurface hydrology, the model can solve the watershed-scale problem efficiently and dependably. Plenty of applications in the USA proved the SHUD model's performance and suitability in the humid and data-rich watersheds.  </p><p>In this research, we demonstrate the SHUD model deployment in two data-scarce watersheds in the northwest of China with global datasets, validate the simulations against local observational data, and assess the SHUD model's efficiency and suitability.  The one is the Upstream Heihe River (UHR), which is a typical semi-arid mountainous watershed.  The other is Yellow River Source (YRS), the upstream of Yellow River, contributing more than 50% of total discharge. The results, figures, and analysis based on SHUD simulations under global datasets highlight the model's suitability and efficiency in data-limited watersheds, even ungaged ones. The SHUD model is a useful modeling platform for hydrology and water-related coupling studies.</p>

Geomorphological control of subsurface hydrology in the creekbank zone of tidal marshes

1987 ◽  
Vol 25 (6) ◽  
pp. 677-691 ◽  
Author(s):  
Judson W. Harvey ◽  
Peter F. Germann ◽  
William E. Odum
Keyword(s):  
Tidal Marshes ◽  
Subsurface Hydrology

A sensitivity analysis of DC resistivity prospecting on finite, homogeneous blocks and columns

Geophysics ◽  
2007 ◽  
Vol 72 (6) ◽  
pp. F237-F247 ◽  
Author(s):  
Qi You Zhou
Keyword(s):  
Sensitivity Analysis ◽  
Electric Potential ◽  
Finite Size ◽  
Sensitivity Matrix ◽  
Subsurface Hydrology ◽  
Block Boundary ◽  
Scheme Design ◽  
Vertical Arrays ◽  
Analytic Expressions ◽  
Resistivity Inversion

Besides field applications to geophysical prospecting and subsurface hydrology, electrical resistivity tomography can be applied to finite-scale blocks in the laboratory to characterize the resistivity structure of the blocks and to monitor internal physical and chemical processes. This requires a fast and accurate calculation of the sensitivity matrix to perform a successful resistivity inversion for such blocks. However, the complex geometric shape and boundary and the finite size of the block limit the application of field-suitable sensitivity calculation methods to these blocks. As blocks and finite columns are often used in the laboratory experiments, this paper develops practical analytic expressions, based on the method of image charges, for the sensitivity matrix for these two types of homogenous bodies. The corresponding formulae for the electric potential distribution and theelectrode array coefficient are also presented. As a result of the theory, the effects of placing limits on the sum index in the electric-potential calculation can be analyzed, and a comparison of the theoretical and the numerically simulated electric potential is shown. The results demonstrate the correctness of the theory and indicate that even the addition of only one set of mirror current sources greatly reduces the effects of the block boundary on the electric-potential calculation. Finally, several interesting sensitivity distributions for cross-surface arrays on blocks, and for circular and vertical arrays on columns, are given. Although the formulae developed here are only valid for homogeneous blocks and columns, and an element of relatively small volume is required to permit a good approximation to the sensitivity, the theory is useful in the verification of numerically simulated results, in sensitivity-analysis for optimum probing-scheme design, and in successful resistivity inversion calculation for finite bodies.

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