基于ArcGIS建模器的数据处理模型在摩洛哥地球化学填图中的应用

发布时间：2018-11-23 18:59

【摘要】：随着我国一带一路战略部署的推进,我国在一带一路相关国家承担的地质调查任务也在逐步增加。地球化学填图由于其可靠性高、精度好、进度可控等原因,往往是国外地质调查工作的重要一环。地球化学调查工作主要环节包括野外样本采集、样本分析、数据处理及成图等。由于数据处理及成图决定了地球化学填图工作中地球化学异常的圈定及地球化学分布的判定,其模型和方法的研究越来越受到地质科学家的重视,并成为地球化学填图工作中的重要一环。设计了基于ArcGIS建模器的数据处理模型,并将其用于地球化学数据处理。该模型不仅实现了从地球化学采样数据分析到地球化学成图的自动化,而且模型可以在科研人员和生产人员之间共享。模型实现了地球化学填图工作中的以下主要功能:(1)地球化学各元素含量数据的批量插值;(2)元素的分类及异常提取;(3)用栅格数据表示的元素含量数据转换为矢量的等值线/面并平滑。该模型已成功应用于中国商务部援摩洛哥东阿特拉斯山地区1∶10万低密度地球化学填图项目,应用于包含3个工作区45种元素共7 974个地球化学样品的数据处理。成功地解决了项目有效工期短、数据分析任务重、输出图件质量要求高等问题,充分显示了模型的高效实用性,可望在未来地质调查工作中发挥巨大作用。
[Abstract]:With the promotion of Belt and Road's strategic deployment, the geological survey tasks undertaken by our country in Belt and Road are gradually increasing. Geochemical mapping is often an important part of geological survey abroad because of its high reliability, good precision and controllable progress. The main work of geochemical survey includes field sample collection, sample analysis, data processing and mapping. As data processing and mapping determine the delineation of geochemical anomalies and the determination of geochemical distribution in geochemical mapping, more and more attention is paid to the study of their models and methods. It has become an important part of geochemical mapping. The data processing model based on ArcGIS modeler is designed and used in geochemical data processing. The model not only automates from geochemical sampling data analysis to geochemical mapping, but also can be shared between researchers and producers. The main functions of the model in geochemical mapping are as follows: (1) batch interpolation of geochemical elements content data, (2) classification of elements and extraction of anomalies; (3) element content data represented by raster data is transformed into vector contour / plane and smooth. The model has been successfully applied to the 1: 100 000 low density geochemical mapping project in East Atlas Mountain area of Morocco by the Ministry of Commerce of China. The model has been applied to the data processing of 7 974 geochemical samples containing 45 elements in 3 working areas. The problems of short effective time limit, heavy data analysis task and high quality of output map are solved successfully, which fully shows the high efficiency and practicability of the model and is expected to play a great role in geological survey in the future.
【作者单位】：中国地质调查局武汉地质调查中心;中国地质调查局西非北非地学研究中心;中国地质调查局发展研究中心;The
【基金】：中国地质调查局项目:“埃及及邻区矿产资源潜力评价(DD20160109)
【分类号】：P632

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