Flow network-based heterogeneous aquifer dominant flow path identification method
An identification method and heterogeneous technology, applied in the field of hydraulics, can solve problems such as large amount of calculation, error, large time and storage space, achieve high accuracy and efficiency, conform to physical laws, and achieve simple effects
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Embodiment 1
[0056] Example 1: Homogeneous aquifer with two low-permeability walls
[0057] The research object is a homogeneous confined aquifer with two low-permeability walls, the regional average water flow is from left to right, and the permeability coefficient ratio of the main body and the low-permeability wall is K / K b =10 3 (Such as image 3 shown), porosity is a constant. Adopt SF method of the present invention, calculate differential streamline and each stream tube area A (as Figure 4As shown, the figure shows the spatial distribution of equal differential streamlines, that is, the difference between the flow functions of adjacent streamlines is equal; the A value of the stream pipe is shown on the right, and the minimum A value is marked by a hollow circle, which is close to the symmetrical center of the aquifer axis), the flow tube corresponding to the smallest A is the dominant flow path. The obtained SF path is a streamline straight through the wall gap, which is con...
Embodiment 2
[0058] Example 2: A homogeneous aquifer containing multiple low-permeability walls;
[0059] Similar to the previous example, consider the case of low-permeability walls in a mean confined aquifer, the difference is that there are more low-permeability walls and their distribution is more complex (such as Figure 6 shown). Similarly, use the three methods of PT, MHR, and SF to find the dominant flow path, and compare it with the particle front and the first arrival point in the PT method (see Figure 7 ). The results show that the SF path (dotted line) of the present invention is almost completely consistent with the PT path (solid line); the MHR path has a significant difference, which is reflected as the shortest path to avoid low-permeability walls. Figure 8 It further shows the streamline distribution of the water flow field in this example and the A value of each flow tube, Figure 8 The A-values for each flowtube are shown on the right (minimum A-values are marke...
Embodiment 3
[0060] Example 3: Predominant flow in multi-Gaussian logarithmic permeability coefficient field
[0061] Considering a two-dimensional rectangular confined aquifer, the logarithmic permeability coefficient lnK satisfies the multi-Gaussian distribution assumption, the mean value of lnK is 0, the variance is 1.5, and the correlation length is 50m. Generate a random lnK sample with a sequential Gaussian simulation (eg Figure 9 shown). Considering the regional water flow from left to right as well, see Figure 10 . The results show that the SF path is basically consistent with the PT path, both pointing to the first arrival of the particles; the MHR path swings violently, which is significantly different from the PT path, passing through multiple particle fronts, and the end point on the right is also inconsistent with the first arrival path. It shows that the SF path in this example is much closer to the real dominant flow path than the MHR path. Figure 11 The relationship ...
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