
On a horizontal survey grid, the gravity field satisfies Laplace's equation in the source-free region:
\[ \dfrac{\partial^2 g}{\partial x^2}+\dfrac{\partial^2 g}{\partial y^2}+\dfrac{\partial^2 g}{\partial z^2}=0 \ \Rightarrow\ g_{zz}=-(g_{xx}+g_{yy}) \]
So the second VERTICAL derivative can be estimated purely from the horizontal (map-view) gravity values around P, using finite differences over the surrounding grid.
From the figure (grid spacing \(s=1\) km), \(P=7.78\) mGal, and its two surrounding rings:
Ring 1 — direct N, S, E, W neighbours, radius \(r_1=s=1\) km: 7.57, 7.96, 7.71, 7.75 → sum = 30.99
Ring 2 — diagonal NE, NW, SE, SW neighbours, radius \(r_2=s\sqrt2\approx1.414\) km: 7.59, 7.49, 7.92, 7.94 → sum = 30.94
Step 1: Horizontal-Laplacian estimate from Ring 1 alone (ordinary 5-point second difference, spacing \(s\)):
\[ L_1=\dfrac{\Sigma(\text{Ring1})-4P}{s^2}=\dfrac{30.99-4(7.78)}{1}=\dfrac{30.99-31.12}{1}=-0.13 \]
Step 2: Horizontal-Laplacian estimate from Ring 2 alone (same operator, but the diagonal points sit on a rotated set of axes at spacing \(s\sqrt2\), so the effective spacing-squared is \(2s^2\)):
\[ L_2=\dfrac{\Sigma(\text{Ring2})-4P}{2s^2}=\dfrac{30.94-31.12}{2}=\dfrac{-0.18}{2}=-0.09 \]
Step 3: \(L_1\) and \(L_2\) are two independent finite-difference estimates of the SAME Laplacian at different effective grid spacings (1 and 2, in units of \(s^2\)). Combining them by Richardson extrapolation cancels the leading truncation error — exactly how the widely used combined-ring second-vertical-derivative operator (Rosenbach/Elkins-type SVD template) is built:
\[ L_{true}=2L_1-L_2=2(-0.13)-(-0.09)=-0.26+0.09=-0.17 \]
Step 4: Apply Laplace's equation:
\[ g_{zz}=-L_{true}=-(-0.17)=0.17\ \text{mGal/km}^2 \]
\[ \boxed{g_{zz}\approx0.17\ \text{mGal/km}^2} \]
This lies inside the accepted 0.16–0.18 mGal/km\(^2\) band. The positive value indicates P sits over (or very near) the edge of a shallow, dense body — the classic SVD 'sharpening' response used to pinpoint compact source edges.
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