关联数据驱动的、基于物理学的抽水诱发沉降建模,并应用于泰国曼谷。

Ground water Pub Date : 2024-10-11 DOI:10.1111/gwat.13443
Jenny T Soonthornrangsan, Mark Bakker, Femke C Vossepoel
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引用次数: 0

摘要

对地下水抽取引起的地面沉降的研究,因无法获得测量水头、沉降和作用力而受到阻碍。本文介绍了一种以数据为驱动、以物理学为基础的简化关联方法,用于模拟抽水引起的沉降;该方法旨在应用于观测井窝。利用响应函数的时间序列分析来模拟含水层中的水头。以含水层中的水头为边界条件,用一维扩散模型模拟粘土层中的水头。最后,利用各层中的模拟水头来模拟土地沉降。所开发的方法适用于泰国曼谷市,该市有 23 个井窝或其附近相对较短的水头和沉降测量时间序列;有较长时期的全流域抽水估算数据。尽管数据稀缺,但观测井的数据驱动时间序列模型成功地模拟了含水层的地下水动态,平均均方根误差(RMSE)为 2.8 米,而平均总范围为 21 米。模拟的沉降与稀疏(有时噪声很大)的土地沉降测量结果相当吻合,平均均方根误差为 1.6 厘米/年,而平均总误差范围为 5.4 厘米/年。在 23 个地点中,有 8 个地点的测量结果并不理想,这很可能是因为全流域的抽水情况并不能代表局部地区的抽水情况。总之,这项研究表明,在数据有限的地区,采用一种简便、数据链接驱动、基于物理学的方法来模拟抽水引起的沉降是有潜力的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linked Data-Driven, Physics-Based Modeling of Pumping-Induced Subsidence with Application to Bangkok, Thailand.

Research into land subsidence caused by groundwater withdrawal is hindered by the availability of measured heads, subsidence, and forcings. In this paper, a parsimonious, linked data-driven and physics-based approach is introduced to simulate pumping-induced subsidence; the approach is intended to be applied at observation well nests. Time series analysis using response functions is applied to simulate heads in aquifers. The heads in the clay layers are simulated with a one-dimensional diffusion model, using the heads in the aquifers as boundary conditions. Finally, simulated heads in the layers are used to model land subsidence. The developed approach is applied to the city of Bangkok, Thailand, where relatively short time series of head and subsidence measurements are available at or near 23 well nests; an estimate of basin-wide pumping is available for a longer period. Despite the data scarcity, data-driven time series models at observation wells successfully simulate groundwater dynamics in aquifers with an average root mean square error (RMSE) of 2.8 m, relative to an average total range of 21 m. Simulated subsidence matches sparse (and sometimes very noisy) land subsidence measurements reasonably well with an average RMSE of 1.6 cm/year, relative to an average total range of 5.4 cm/year. Performance is not good at eight out of 23 locations, most likely because basin-wide pumping is not representative of localized pumping. Overall, this study demonstrates the potential of a parsimonious, linked data-driven, and physics-based approach to model pumping-induced subsidence in areas with limited data.

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