基于地层尖灭的城市地下空间三维地质建模方法及应用

张永旺, 庞世龙, 花卫华, 张文, 段剑超, 宿紫莹. 2025. 基于地层尖灭的城市地下空间三维地质建模方法及应用——以广西北海市为例. 地质通报, 44(6): 1174-1186. doi: 10.12097/gbc.2023.03.030
引用本文: 张永旺, 庞世龙, 花卫华, 张文, 段剑超, 宿紫莹. 2025. 基于地层尖灭的城市地下空间三维地质建模方法及应用——以广西北海市为例. 地质通报, 44(6): 1174-1186. doi: 10.12097/gbc.2023.03.030
ZHANG Yongwang, PANG Shilong, Hua Weihua, ZHANG Wen, DUAN Jianchao, SU Ziying. 2025. Research on 3D geological modeling method and application of urban underground space based on stratigraphic pinchout: A case study of Beihai City, Guangxi. Geological Bulletin of China, 44(6): 1174-1186. doi: 10.12097/gbc.2023.03.030
Citation: ZHANG Yongwang, PANG Shilong, Hua Weihua, ZHANG Wen, DUAN Jianchao, SU Ziying. 2025. Research on 3D geological modeling method and application of urban underground space based on stratigraphic pinchout: A case study of Beihai City, Guangxi. Geological Bulletin of China, 44(6): 1174-1186. doi: 10.12097/gbc.2023.03.030

基于地层尖灭的城市地下空间三维地质建模方法及应用

  • 基金项目: 国家自然科学基金项目《多元数据联合影响下复杂地质模型快速构建方法》(批准号:41972307).
详细信息
    作者简介: 张永旺(1979− ),男,高级工程师,从事水文地质环境地质调查与应用研究。E−mail:493959645@qq.com
    通讯作者: 庞世龙(2000− ),男,在读硕士生,从事AI在地下空间中的应用及三维地质建模研究。E−mail:845190158@qq.com
  • 中图分类号: P628;P634;P64

Research on 3D geological modeling method and application of urban underground space based on stratigraphic pinchout: A case study of Beihai City, Guangxi

  • Fund Project: Supported by the National Natural Science Foundation of China for the project “Rapid Construction Method of Complex Geological Model under the Joint Influence of Multiple Data” (Grant No. 41972307).
More Information
    Author Bio: ZHANG Yongwang, male, born in 1979, senior engineer, mainly engaged in hydrogeological and environmental geological survey and applied research; E-mail: 493959645@qq.com .
    Corresponding author: PANG Shilong, male, born in 2000, master’s candidate, mainly engaged in the application of AI in underground space and 3D geological modeling research; E-mail: 845190158@qq.com
  • 研究目的

    城市地下空间的开发利用是当前城市建设的重要组成部分,而三维地质模型是评价地下空间开发利用难度的基础工作之一。针对现有三维地质建模方法中地层分区范围不准确的问题,从模型精度的影响因素出发,设计了一种基于影响因素的地层尖灭位置合理计算方法。

    研究方法

    该方法通过考虑地层厚度、钻孔间距、地层埋深、单孔控制范围等因素,在追踪地层分区时确定尖灭位置,由此构建出精度更高的地层曲面。

    研究结果

    以广西北海市为研究区,利用该区域的钻孔、剖面等实际地质数据,首先建立了统一的地层层序并生成了地层分区约束,随后成功构建了北海市精细化的三维地质结构模型。通过钻孔数据回代验证和剖面对比分析对模型质量进行了评价,并与传统建模方法进行了对比。对比分析显示,该方法构建的模型在关键区域的地层形态与实际钻孔揭露情况吻合度更高,地层接触关系处理更为合理。

    结论

    提出的基于影响因素的地层尖灭位置计算方法,能够有效提高三维地质模型的精度,尤其在处理含复杂地层(如尖灭、不整合接触等)的地质结构时表现出明显优势。与传统建模方法相比,该方法构建的模型与实际地质情况更为吻合,为解决复杂地质条件下的三维地质建模问题提供了一种新的、更可靠的解决思路,对城市地下空间精细化开发利用具有重要的参考价值。

  • 加载中
  • 图 1  地层尖灭方向判别(1、2、3表示不同地层)

    Figure 1. 

    图 2  采样点范围

    Figure 2. 

    图 3  边界点属性确定

    Figure 3. 

    图 4  三角剖分结果

    Figure 4. 

    图 5  尖灭位置确定

    Figure 5. 

    图 6  地层分区

    Figure 6. 

    图 7  建模数据源分布

    Figure 7. 

    图 8  三维地质建模流程

    Figure 8. 

    图 9  地层序列统一方法

    Figure 9. 

    图 10  各层分区叠加效果

    Figure 10. 

    图 11  地层模板采样点位置

    Figure 11. 

    图 12  地层曲面拓扑重建

    Figure 12. 

    图 13  三维地质体模型

    Figure 13. 

    图 14  基于钻孔的模型质量评价

    Figure 14. 

    图 15  基于剖面的模型质量评价

    Figure 15. 

    图 16  钻孔结果对比图

    Figure 16. 

    图 17  剖面结果对比图

    Figure 17. 

    图 18  均方根误差对比图

    Figure 18. 

    图 19  不同建模算法结果对比

    Figure 19. 

    表 1  建模区域内第四系标准地层层序表的部分内容

    Table 1.  Some contents of Quaternary standard stratigraphic sequence table in modeling area

    编码 编码 岩性 编码
    第四系 1 人工填土 1-1 素填土 1-1-1
    填土 1-1-2
    海积层 1-2 砾砂 1-2-1
    粗砂 1-2-2
    冲积层 1-3 耕表土/中砂 1-3-1
    三角洲层 1-4 可塑状粉耕表土 1-4-1
    北海组 1-5 耕表土 1-5-1
    砾砂 1-5-2
    湛江组 1-6 可塑状粘土 1-6-1
    粉细砂 1-6-2
    基岩 2 邕宁组 2-1 风化泥质粉砂岩/砾岩 2-1-1
    角砾状细砂岩 2-1-2
    寺门组 2-2 风化炭质泥岩/风化泥岩/泥质灰岩 2-2-1
    黄金组 2-3 粉土/强风化粉砂质泥岩 2-3-1
    中风化泥质粉砂岩 2-3-2
    风化砂岩/泥岩/细砂岩 2-3-3
    下载: 导出CSV

    表 2  钻孔均方根误差

    Table 2.  Root mean square error of drilled holes

    地层编码 层底埋深均方根误差 地层厚度均方根误差
    ①1 3.744800 3.014634
    ①2 0.362730 0.593881
    0.000000 10.551066
    ②1 59.540487 1.917560
    ③1 58.799644 28.269397
    ④1 0.000000 18.261098
    ⑤1 3.037502 2.672397
    ⑤2 1.689583 10.789586
    ⑥1 17.953234 9.286725
    ⑥2 6.262616 15.151021
    ⑦1 2.607139 14.383907
    ⑦2 0.452502 18.189948
    ⑧1 0.000000 74.707864
    ⑨1 0.000000 2.216019
    ⑨2 0.000000 0.000000
    ⑩3 0.000000 18.665298
    ⑪4 0.000000 10.509101
    ⑪5 0.000000 4.163690
    ⑫5 0.000000 0.000000
    ⑬1 32.000410 36.866709
    下载: 导出CSV
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出版历程
收稿日期:  2023-03-16
修回日期:  2023-10-19
刊出日期:  2025-06-15

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