使用开源工具在墨西哥盆地生成用于3D建模的水文地质单元

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Juan Camilo Montaño-Caro, Oscar Escolero-Fuentes, Eric Morales-Casique
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引用次数: 0

摘要

该数据集包含墨西哥盆地水文地质剖面的三维建模,使用Python脚本和GIS工具开发。这些剖面以现有的地质研究为基础,整合了各种岩性和构造特征,包括火山和沉积单元。虽然数据集提供了全面的覆盖范围,但由于数据的可用性,它确实承认地质和构造分辨率的局限性。该数据集包括表示直线和多边形格式的水文地质单元的形状文件,以及地形剖面、地表水文地质分布和区域断层系统。虽然具体应用可能需要修改,但它是地下水和地质模拟的多学科研究的坚实基础。托管在开源存储库上,数据可以很容易地用于3D建模框架,如GemPy和FloPy。该数据集是了解墨西哥盆地地下水动态的宝贵资源,并且随着新数据的出现或项目需求的发展,为未来的更新提供了灵活性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Generation of Hydrogeological Units for 3D Modelling Using Open-Source Tools in the Mexico Basin

Generation of Hydrogeological Units for 3D Modelling Using Open-Source Tools in the Mexico Basin

This dataset contains hydrogeological cross-sections for 3D modelling in the Mexico Basin, developed using Python scripts and GIS tools. The cross-sections are based on existing geological studies and integrate a variety of lithologies and structural features, including volcanic and sedimentary units. While the dataset provides comprehensive coverage, it does acknowledge limitations in geological and structural resolution due to the availability of data. The dataset includes shapefiles representing hydrogeological units in both line and polygon formats, alongside topographic sections, surface hydrogeological distribution and regional fault systems. Although modifications may be required for specific applications, it serves as a strong foundation for multidisciplinary studies in groundwater and geological modelling. Hosted on open-source repositories, the data can be easily adapted for use in 3D modelling frameworks like GemPy and FloPy. This dataset is a valuable resource for understanding groundwater dynamics in the Mexico Basin and offers flexibility for future updates as new data become available or project needs evolve.

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来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍: Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.
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