MF6-ADJ:对于MODFLOW 6的非侵入性的辅助灵敏度能力
Mohamed Hayek, Jeremy T White1, Katherine H Markovich2
1INTERA Incorporated, Fort Collins, CO.
Ground water
|September 25, 2025
概括
MF6-ADJ为MODFLOW 6地下水模型提供了一个非侵入性的辅助灵敏度分析. 这种高效的方法可以显著加快复杂模型校准和诊断,而不会改变核心模拟代码.
科学领域:
- 水文地质学 水文地质学
- 计算水文学计算水文学
- 数字建模 数字建模
背景情况:
- 附加的灵敏度分析对于评估水文模型中的参数影响是有效的.
- 侵入性辅助实现需要进行广泛的代码修改,阻碍了采用.
- 需要一种非侵入性的方法来实现更广泛的可访问性和可维护性.
研究的目的:
- 介绍MF6-ADJ,这是MODFLOW 6的非侵入性辅助灵敏度工具.
- 在不改变前期模型代码的情况下实现高效的灵敏度分析.
- 支持复杂的地下水建模工作流程.
主要方法:
- 利用MODFLOW 6应用程序编程接口 (API) 进行非侵入性交互.
- 支持受限制/不受限制的流量,结构化/非结构化网格和标准/牛顿-拉普森解决器.
- 对关键参数的头部,流量和残留物的计算灵敏度.
主要成果:
- MF6-ADJ计算每个节点的灵敏度,进行详细分析.
- 与分析解决方案和有限差异方法取得了很好的一致性.
- 与直接方法相比,已经证明了数百到数万倍的加速度.
结论:
- MF6-ADJ提供了一个可访问和可维护的解决方案,用于辅助灵敏度分析.
- 在复杂的地下水建模中实现高效和可扩展的灵敏度分析.
- 有助于改进模型诊断和校准.
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