Inverse-Square Distance Weighting (IDW) is a spatial interpolation method where the weight is inversely proportional to the square of the distance between the known data points and the location to be estimated. The formula for IDW is:
\[
\text{Grade at x} = \frac{\sum \left( \frac{G_i}{d_i^2} \right)}{\sum \left( \frac{1}{d_i^2} \right)}
\]
where:
- \( G_i \) is the grade at location \( i \),
- \( d_i \) is the distance between location \( i \) and \( x \).
Given:
- Location 1: \( G_1 = 1.5% \), \( d_1 = 2 \, \text{m} \),
- Location 2: \( G_2 = 1.8% \), \( d_2 = 3 \, \text{m} \),
- Location 3: \( G_3 = 2.5% \), \( d_3 = 5 \, \text{m} \).
First, calculate the weights:
\[
w_1 = \frac{1}{d_1^2} = \frac{1}{2^2} = 0.25, w_2 = \frac{1}{d_2^2} = \frac{1}{3^2} = 0.1111, w_3 = \frac{1}{d_3^2} = \frac{1}{5^2} = 0.04.
\]
Now, calculate the weighted sum:
\[
\text{Grade at x} = \frac{(1.5 \times 0.25) + (1.8 \times 0.1111) + (2.5 \times 0.04)}{0.25 + 0.1111 + 0.04} \approx \frac{(0.375) + (0.2) + (0.1)}{0.4011} = \frac{0.675}{0.4011} \approx 1.68.
\]
Thus, the grade of copper at location x is \( \boxed{1.67} \, % \).