Uniqueness and stability in bottom detection through surface measurements of water waves
Noureddine Lamsahel, Lionel Rosier
TL;DR
This work studies the problem of recovering a bounded portion of the seafloor ${b}$ from surface measurements within a truncated domain using the general water-waves system. The authors connect bathymetry to surface data via the Dirichlet-to-Neumann operator ${G(\zeta,b)}$ and prove that the bottom geometry is locally identifiable from time-${t_0}$ surface measurements together with ${b}$ on ${\partial\mathcal{O}}$. They establish $L^1$-log–log and logarithmic stability under a relaxed local fatness condition using a size-estimates framework, extending previous unbounded-domain results to a bounded, Lipschitz setting and removing several restrictive assumptions. These results enable robust bathymetry detection from surface data and pave the way for optimization-based and numerically efficient bathymetry reconstruction methods on truncated domains.
Abstract
This paper investigates the geometric inverse problem of recovering the bottom shape from surface measurements of water waves. Using the general water-waves system on a bounded subdomain of the fluid domain, we address this inverse problem, focusing on the identifiability and the stability issues. We establish uniqueness and derive logarithmic stability estimates in the determination of the bathymetry on any fixed smooth, bounded, open domain ${\mathcal O}\subset {\mathbb R} ^d$, $d=1,2$, from the knowledge of the free surface, its first time derivative, the velocity potential at a given instant $t_0$ within $\mathcal O $, and the knowledge of the bottom along $\partial \mathcal O$. No further assumptions are required for uniqueness. For stability, we impose only a \textit{local fatness} condition on the region between the bottom profiles, allowing us to adapt the size estimates method.
