## 4 Results and Discussion
### Construction of a Quantitative Optimization Model for Prospecting Target Areas
\begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline
**Model** & & & & & & & & & & & \\ \multicolumn{1}{c}{**No.**} & & & & & & & & & & \\ \hline \multirow{6}{*}{Model} & Variable & constant & \(\text{SiO2}\) & \(\Delta\text{Tx}\) & \(\Delta\text{Td}\) & \(\text{Al2O3}\) & \(\text{Na2O}\) & \(\text{R}_{\text{o}}=-1.98\) & The Xiaoxi Gong \\  & Parameter & \(-19.44\) & 0.208 & 0.004 & \(-0.003\) & 0.267 & 0.251 & \(\text{F}_{\text{p}}=16.26\) & medium-sized gold \\  & Contribution & & 32.645 & 22.784 & 16.283 & 7.904 & 4.466 & Mineral positive & deposit in Subei County \\  & Variable & & 1.8 & 8 & 7 & 8 & 7 & Au & Mineral-free positive & and the Laoin Chang \\
**I** & Parameter & & 0.1 & 0.001 & \(-0.034\) & \(-0.014\) & \(-0.043\) & Mineral-free positive & medium-sized gold \\  & Contribution & & 2.652 & 2.594 & 2.473 & 1.869 & 1.838 & conviction rate, 98.3\% & deposit in Guazhou \\  & Variable & & & & & & & Ore-bearing units: 60 & County \\ \hline \multirow{6}{*}{Model} & Variable & constant & \(\text{SiO2}\) & \(\Delta\text{u}\) & \(\text{Zr}\) & \(\text{CaO}\) & \(\text{Sr}\) & \(\text{R}_{\text{o}}=-0.89\) & The Xiaoxi Gong \\  & Parameter & \(-20.08\) & 0.216 & \(-0.119\) & 0.012 & 0.064 & 0.002 & \(\text{F}_{\text{p}}=6.45\) & The Xiaoxoah small gold \\  & Contribution & & & 25.092 & 18.628 & 16.981 & 7.465 & 6.778 & Mineral positive & deposit in Anxi County \\
**II** & Variable & & & & & & & & conviction rate, 100\% & and the Xinlinchang small \\  & Parameter & & & 0.153 & 0.001 & \(-0.002\) & & Mineral-free positive & gold deposit in Xihu \\  & Contribution & & & 6.685 & 5.696 & 5.302 & & conviction rate, 88.1\% & Township, Anxi County \\  & Variable & constant & & & & & & Ore-bearing units: 78 & \\ \multirow{6}{*}{Model} & Variable & & & & & & & & & \\ \cline{1-1}  & Parameter & & & & & & & & & \\ \cline{1-1}  & Contribution & & & & & & & & & \\ \cline{1-1}  & & & & & & & & & & \\ \cline{1-1}  & & & & & & & & & & \\ \cline{1-1}  & & & & & & & & & & \\ \cline{1-1}  & & & & & & & & & & \\ \hline \hline \end{tabular} Description: F\({}_{0.01}=3\), there are a total of 102 ore-bearing units in the serial model (93.6% of the total number of occupied ore-bearing units).  
\[\begin{array}{llllllllllll}\text{R0}=\frac{\text{NA}\times\overline{\text{ RA}}+\text{NB}\times\overline{\text{RB}}}{\text{NA}+\text{NB}}\\ \text{NA}+\text{NB}\end{array} \tag{3}\]  
where R0 is the discrimination threshold; NA and NB are the number of units in A (population with minerals) and B (population to be judged), respectively; \(\overline{\text{RA}}\) and \(\overline{\text{RB}}\) are the mean value of the discrimination function values for units A and B [59].  
If \(\overline{\text{RA}}>\overline{\text{RB}}\), when R1 \(>\) R0, the research unit is judged to be population A (preferably with ore), and when R1 \(<\) R0, the research unit is judged to be population B (preferably without ore). If \(\overline{\text{RA}}<\overline{\text{RB}}\), the result is reversed [60; 61].  
\end{table} 
Table 2: Quantitative optimization series model of Au mine regional mineral search target area based on physical and chemical exploration information. The results of model I's optimization are as follows: The aforementioned discriminant function (model I) is used to calculate the discriminant value (R1) for each research unit within the \"Au Mineralization Prospecting Information Specification Unit Modeling Database (24,824 \(\times\) 42)\" in the Beishan region. The discrimination threshold is set at R0 = \(-\)1.98. Units with R1 \(<\) R0 are deemed to be ore-bearing units of preference. Model I identifies 467 preferred units as ore-bearing units of preference, of which 60 are known ore-bearing units, representing 12.85% of the total number of ore-bearing units of preference. This figure is 29.2 times higher than the proportion of units with minerals (ratio of known ore-bearing units to total projected units) (0.44%). 2. Model II  
We identified 467 preferred units in model I and removed them from the units.