基于Visual Modflow Flex的微流域地下水流动建模

Anusha Honnannanavar, Nagraj Patil, Vivek Patil
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摘要

本研究试图对卡纳塔克邦奇科迪小流域的地下水流动模型进行模拟。两层概念和三维地下水流动模型主要由风化玄武岩和断裂玄武岩构成。第一层风化带距地表30m,第二层破碎带距地表80m,分布20排20列。小区高674m,小区宽440m。本文利用Visual MODFLOW Flex建立了微流域地下水流动模型。然后在2020年4月使用17口观测井,利用当前应力水平对稳态地下水流动模型进行了数值预测。该模型旨在量化输入和输出应力,并确定盆地的过度应力区域。水量收支分析估算,流域地下水补给总量中蒸散损失占56.54%,水系总地下水泄漏量占28.72%。研究结果表明,由于河流溢流和蒸散作用,流域南段正在经历严重的含水层应力。为了改善地下水位,建议在Chikkodi村及其附近的适当地点开发人工补给结构。使用试错法评估校准模型的灵敏度,发现该模型对水力导电性和补给水平的变化极为敏感。模型性能优良,R2、RMSE和NRMSE分别为0.97、5.34和13.23%。
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Groundwater Flow Modeling of A Microwatershed using Visual Modflow Flex
The present study attempts to make a simulation of groundwater flow modeling in Chikkodi micro-watershed Belagavi (District), Karnataka. A two-layer conceptualization and the three-dimensional groundwater flow model are primarily underlain by weathered basalt and fractured basalt. The first layer weathered zone is 30m from the ground surface and the second layer fractured zone is 80m below the ground surface spread over 20 rows and 20 columns. The cell height is 674m and the cell width is 440m. The work described here built a groundwater flow model in the micro-watershed using Visual MODFLOW Flex. The steady-state groundwater flow model was then numerically projected in April 2020 using seventeen observation wells using the present stress levels. The model aims to quantify input and output stresses and pinpoint the basin's overstressed regions. The water budget analysis estimates that evapotranspiration loss makes up 56.54% of the basin's total groundwater recharge while overall groundwater leaks from river systems are 28.72%. The findings indicated that the southern section of the basin is undergoing severe aquifer stress as a result of river overflow and evapotranspiration. To improve groundwater levels, it is suggested that artificial recharge structures should be developed in and near Chikkodi village at appropriate sites. The trial-and-error approach was used to assess the sensitivity of the calibrated model, and it was discovered that the model is extremely sensitive to changes in hydraulic conductivity and recharge levels. Model performance is excellent, with R2, RMSE, and NRMSE values of 0.97, 5.34, and 13.23% of the assessing criteria.
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