物探与化探2025，Vol.49Issue(6)：1343-1352,10.DOI:10.11720/wtyht.2025.0085
高山峡谷区地球化学普查采样点协同优化布设与现场微调方法
Synergistic optimization and on-site fine-tuning methods for sampling point arrangement for geochemical survey in an alpine gorge area,Southwest China
摘要
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,character-ized by well-developed hydrographic nets.Sampling quality directly determines the representativeness and accuracy of geochemical ex-ploration 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 in-tegrates critical technologies,including two-level dynamic grids(a1 km× 1 km basic grid and a 500 m infill grid),dynamic channel a-lignment 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 tributa-ries,a capture rate of 82％for coarse-grained clastics(＞2 mm),and a reduced occurrence rate of 5％for human-induced pseudo-a-nomalies,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.关键词
水系沉积物测量/采样优化/协同优化/现场微调法Key words
stream sediment survey/sampling optimization/synergistic optimization/on-site fine-tuning method分类
天文与地球科学引用本文复制引用
曾亮,杨明龙,庞咏,黄加忠,白平雁,王炳军..高山峡谷区地球化学普查采样点协同优化布设与现场微调方法[J].物探与化探,2025,49(6):1343-1352,10.基金项目
中国地质调查局项目"云南乌蒙山苞谷脑、翻身村、迤车讯3幅1∶5万矿产地质调查"(DD20240207104) （DD20240207104）
