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首页> 外文期刊>Progress in Artificial Intelligence >Multi-Technique groundwater flow system analysis and dating of deep aquifers in Alessandria Basin (Piedmont - IT)
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Multi-Technique groundwater flow system analysis and dating of deep aquifers in Alessandria Basin (Piedmont - IT)

机译：Alessandria Bounin（Piedmont - IT）的多技术地下水流系统分析和深含水层的约会

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The aim of the study was to set up a protection system from pollution of the deep aquifer of the Alessandria basin, by redefining the recharge areas, focused on this portion of Piedmont territory, and therefore by creating some reserve areas of deep groundwater, to be preserved for future human drinking purposes. In addition to the classical hydrodynamic and geochemical monitoring techniques, the groundwaters were analyzed with reference to a monitoring network of 25 selected wells with deep screens (80-300 m below ground surface) combining radiochemical dating (C-14 and delta C-13 of dissolved inorganic carbon - DIC) with anthropogenic tracers (CFCs, SF6) as indicators of recent recharge/mixing. Stable isotope composition (delta H-2 and delta O-18 - H2O) was assessed during a 1-year sampling of snow-rain precipitations gauges distributed in altitude in order to define Local Meteoric Water Lines; the isotopic composition was also seasonally measured for the main rivers and in selected deep-wells. The 3D numerical model was implemented in FEflow platform and calibrated on the basis of the available monitoring data; it was used as a support tool in the delimitation of the recharge areas, starting from the analysis of the distribution of flows. This model was crucial for delimiting the "reserve areas", since it was able to simulate groundwater flows using both purely advective transport conditions (particle tracking technique), and more realistic conditions of advective and dispersive transport, by introducing dispersive parameters and using the Life Time Expectancy (LTE) reservoir distribution. The integrated use of "traditional" techniques of regional groundwater flow system monitoring (hydrochemistry, stable isotopic composition) and of dating techniques based on radioactive isotopes and anthropogenic tracers, provided a reliable support to the validation of flow and transport simulation model, oriented to identify recharge areas and "reserve areas" of future extraction of deep groundwater for drinking purpose.
机译：该研究的目的是通过重新定义亚历山大地区的深层含水层的深层含水层的污染，重新定义了Piedmont领土的污染，因此通过创建一些深层地下水的储备地区，成为一项保护系统，因此是为未来的人类饮酒而保存。除了经典的流体动力学和地球化学监测技术之外，地下水是参考25所选择的孔的监测网络，其中包含深屏（地面下面80-300米）结合放射化学约会（C-14和Delta C-13溶解无机碳 - DIC）与人为示踪剂（CFCs，SF6）作为最近充电/混合的指标。在分布在高度分布的雪雨沉淀仪的一年采样期间评估稳定同位素组成（Delta H-2和Delta O-18-H2O），以定义局部变化水线;同位素组合物也被季节性河流和所选深井测量。 3D数值模型在FEFLOW平台中实现并基于可用的监控数据进行校准;它在界定区域的界定中用作支持工具，从流动分布的分析开始。该模型对于划定“储备区域”至关重要，因为它能够通过引入分散参数和使用寿命来模拟使用纯粹的传输条件（粒子跟踪技术）和更现实的平流和分散运输条件的地下水流动时间寿命（LTE）储层分布。基于放射性同位素和人为示踪剂的区域地下水流动系统监测（水源性，稳定同位素组成）和约会技术的综合使用为流动和运输仿真模型的验证提供了可靠的支持，以识别再充电地区和“储备领域”未来地下水饮用目的。

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