Shi Zhuoxuan, Li Qiding, Xu Weiwei, et al. Optimization of H-κ stacking using a flood-fill-based topological approach for sedimentary layer characterization[J/OL]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2026, 1-10.
DOI:
Shi Zhuoxuan, Li Qiding, Xu Weiwei, et al. Optimization of H-κ stacking using a flood-fill-based topological approach for sedimentary layer characterization[J/OL]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2026, 1-10. DOI: 10.11714/acta.snus.ZR20260020.
Optimization of H-κ stacking using a flood-fill-based topological approach for sedimentary layer characterization
stacking method, commonly used to estimate crustal thickness and velocity ratio from receiver functions, has recently been extended to extract structural parameters of sedimentary layers. However, in ancient, high-velocity sedimentary strata, the
H-κ
spectrum is often contaminated by a continuous high-amplitude strip near zero depth caused by the direct P-wave. This renders the traditional criterion-selecting parameters based on the global maximum stacking amplitude-invalid, making it difficult to identify the sedimentary basement interface. To address this issue, we propose an optimized
H
-
κ
scanning method based on the flood-fill algorithm. The method treats the
H
-
κ
spectrum as a two-dimensional energy terrain and analyzes its connectivity structure. It automatically identifies and removes the non-physical high-amplitude region connected to the zero-depth boundary, thereby determining the optimal
H-κ
parameters within a topologically closed energy basin. This approach requires no additional velocity model or empiri
cal depth threshold and preserves the original physical framework of the
H
-
κ
method. Synthetic tests and feild data applications from a short-period dense array on the western margin of the Ordos Block demonstrate that the improved method effectively suppresses interference from the zero-depth spurious peak and accurately identifies sedimentary thickness and velocity ratio.
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