信息驱动的顺序反转用于过渡式液压断层扫描.
Prem Chand Muraharirao1, B V N P Kambhammettu1, Ramdas Pinninti2,3
1Department of Civil Engineering, Indian Institute of Technology Hyderabad, Hyderabad, India.
Ground water
|March 12, 2025
概括
本研究介绍了一种以信息为导向的方法,用于Transient Hydraulic Tomography (THT) 逆转,其性能优于传统的信号与噪声比率方法. 按信息内容 (Kullback-Leibler分歧) 排列抽取数据可以提高水文地质特征的准确性和效率.
科学领域:
- 水文地质学 水文地质学
- 地质物理学 地质物理学
- 环境科学 环境科学
背景情况:
- 过渡式液压断层扫描 (THT) 有效地描述了地下液压和储存性能.
- 顺序逆转THT在计算上是高效的,但准确性取决于抽取数据集的选择和顺序.
- 传统的信号噪声比 (SNR) 方法用于数据集选择,往往忽略了关键信息内容.
研究的目的:
- 根据信息内容,开发和评估一种替代策略,根据THT序列倒置对数据集进行排名.
- 通过优先考虑信息数据来提高THT反转的准确性和计算效率.
主要方法:
- 使用非参数格林格尔顿绘图位置来生成暂时数据集的累积分布函数 (CDF).
- 使用Kullback-Leibler分歧 (KLD) 来量化数据变化,并根据信息内容对送端口进行排名.
- 使用实验室沙箱模型测试了该方法,将离散波纹转换 (DWT) 应用到 denoising 和 PEST 与 MODFLOW 结合用于反转.
主要成果:
- 与SNR辅助的反转 (RMSE = 1.075 ± 0.990厘米) 相比,KLD辅助的反转显示出更高的精度 (RMSE = 0.278 ± 0.177厘米).
- 应用KLD值 (>10) 将THT数据减少68%,计算时间减少64%,准确度相似 (RMSE = 0.265 ± 0.121厘米).
结论:
- 使用KLD进行信息驱动的数据集选择显著提高了THT序列反转的性能.
- 提出的方法为传统的以质量为导向的方法提供了更准确,更高效的计算替代方案,即使数据减少.
- 这种方法对于各种环境中的水文地质学特征有价值.
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