Abstract: Stream sediment survey is the most widely applied method in regional geological surveys due to its simplicity, efficiency, low cost, and proven effectiveness in mineral exploration. This method shows promising application potential in Southwest China, characterized by well-developed hydrographic nets. Sampling quality directly determines the representativeness and accuracy of geochemical exploration data. However, sampling point arrangements in alpine gorge areas remain challenged by insufficient coverage of lower-order streams, omission of coarse-grained clastics in high-energy zones, and interference from human-induced contamination. To address these challenges, this study innovatively proposed an optimization strategy combining synergistic optimization and the on-site fine-tuning method for the 1∶50 000 stream sediment survey in the Fanshen Village area, Huize County, Yunnan Province. This strategy integrates critical technologies, including two-level dynamic grids (a 1 km×1 km basic grid and a 500 m infill grid), dynamic channel alignment offset (50 m to 100 m), and pre-set contamination buffer zones (200 m), for fieldwork. The results indicate that compared to traditional fixed-grid methods, the optimization strategy achieved a significantly increased coverage rate of 72% for tertiary tributaries, a capture rate of 82 % for coarse-grained clastics (>2 mm), and a reduced occurrence rate of 5% for human-induced pseudo-anomalies, with the overall cost increase controlled within 12%. Overall, the optimization strategy can effectively enhance the reliability of sampling data and the accuracy of anomaly delineation in complex topographic areas, providing an optimized solution for geochemical surveys in alpine gorge areas, Southwest China.