A simple groundwater balance tool to evaluate the three-dimensional specific yield and the two-dimensional recharge: application to a deeply weathered crystalline aquifer in southern India

Mizan, Syed Adil; Dewandel, Benoit; Selles, Adrien; Ahmed, Shakeel; Caballero, Yvan

A simple groundwater balance tool to evaluate the three-dimensional specific yield and the two-dimensional recharge: application to a deeply weathered crystalline aquifer in southern India | Un outil simple de bilan en eau souterraine pour évaluer le coefficient d’emmagasinement en 3D et la recharge en 2D: application à un aquifère de socle fortement altéré du sud de l’Inde Una herramienta sencilla de balance de aguas subterráneas Para evaluar el rendimiento específico tridimensional y la recarga bidimensional: aplicación a un acuífero cristalino profundamente meteorizado en el sur de la India 用于评估三维给水度和平面补给的简单地下水平衡工具:以印度南部高度风化的结晶含水层为例 Uma ferramenta simples de balanço de água subterrânea para avaliar o rendimento específico tridimensional e a recarga bidimensional: aplicação a um aqüífero cristalino profundamente intemperizado no sul da Índia

2019

Mizan, Syed Adil | Dewandel, Benoit | Selles, Adrien | Ahmed, Shakeel | Caballero, Yvan

Crystalline aquifers are among the most complex groundwater systems, requiring adequate methods for realistic characterization and suitable techniques for improving the long-term management of groundwater resources. A tool is needed that can assess the aquifer hydrodynamic parameters cost-effectively. A model is presented, based on a groundwater-budget equation and water-table fluctuation method, which combines the upscaling and the regionalization of aquifer parameters, in particular specific yield (Sy) in three dimensions (3D) and the recharge in two dimensions (2D) from rainfall at watershed scale. The tool was tested and validated on the 53-km² Maheshwaram watershed, southern India, at a 685 m × 685 m cell scale, and was calibrated on seasonal groundwater levels from 2011 to 2016. Comparison between computed and observed water levels shows an absolute residual mean and a root mean square error of 1.17 and 1.8 m, respectively, showing the robustness of the model. Sy ranges from 0.3 to 5% (mean 1.4%), which is in good agreement with previous studies. The annual recharge from rainfall is also in good agreement with earlier studies and, despite its strong annual variability (16–199 mm/year) at watershed scale, it shows that spatial recharge is clearly controlled by spatial structure, from one year to another. Groundwater levels were also forecasted from 2020 to 2039 based on the climate and groundwater abstraction scenarios. The results show severe water-level depletion around 2024–2026 but it would be more stable in the future (after 2030) because of a lower frequency of low-rainfall monsoons.

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