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A Data-driven Approach to Exploring the Causal Relationships Between Distributed Pumping Activities and Aquifer Drawdown by Min Pang; Erhu Du; Chunmiao Zheng is a Environmental Science article available to read on EtoBox.

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Groundwater depletion, typically caused by the distributed pumping activities of multiple stakeholders (i.e., water users) that share a hydrologically connected aquifer, has led to severe environmental and ecological problems in many river basins worldwide. Conventionally, the effects of pumping on aquifer depletion are quantified using well hydraulics or physically based hydrological models in groundwater management. However, the derivation of well hydraulics-based analytical solutions requires numerous simplifying assumptions, while the construction and calibration of a physically based groundwater flow model require detailed information about the subsurface properties, which are subject to large uncertainties. In this study, we develop a novel modeling framework that does not rely on well hydraulics or groundwater flow models. The proposed framework integrates (1) a deep learning model that captures the spatiotemporal variations in the aquifer in response to distributed pumping activities in multiple well fields and (2) a statistical causal inference model that identifies the causal networks among stakeholders to quantify the causal effects of individual pumping activities on aq

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Author

Min Pang; Erhu Du; Chunmiao Zheng

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Environmental Science (Physical Sciences)