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Predicting Daily Water Table Fluctuations in Karstic Aquifers from GIS-Based Modelling, Climatic Settings and Extraction Wells

机译:从基于GIS的建模,气候设置和抽水井中预测岩溶含水层的每日地下水位波动

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摘要

In semiarid regions, karstic aquifers are in some cases essential since they often constitute the only source of water supply. The increasing demand for water in these regions is responsible for the decreasing water table levels. As a consequence, groundwater management becomes indispensable. A robust black-box model of the Solana aquifer, a large karstic aquifer in Alicante province, is developed considering GIS-based modelling of the studied area, climatic settings and anthropic disturbances (water extractions and irrigation returns). The proposed model accurately predicts water table levels evolution (with EF index of 0.97 and RMSE of 0.09) and assesses the recharge rates. The model aims to become a useful tool in order to better understand the characteristics of karstic aquifers. A distinctive feature of the model is that it estimates the heterogeneous effective porosities along the depth profiles of the aquifer, which provides an advantage related to detect changes in the hydraulic transmissivity within karstic formations.
机译:在半干旱地区,岩溶含水层在某些情况下是必不可少的,因为它们通常构成唯一的水源。这些地区对水的需求增加是造成地下水位下降的原因。结果,地下水管理变得必不可少。考虑到基于GIS的研究区域,气候环境和人为干扰(水提取和灌溉收益)的建模,开发了一个坚固的黑箱模型Solana含水层,这是阿利坎特省的一个大型岩溶含水层。所提出的模型可以准确地预测地下水位的演变(EF指数为0.97,RMSE为0.09)并评估补给率。该模型旨在成为有用的工具,以便更好地了解岩溶含水层的特征。该模型的一个显着特征是它可以估算沿含水层深度剖面的非均质有效孔隙度,这提供了与检测岩溶岩层中水力透射率变化有关的优势。

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