Department of Environment, Land and Infrastructure Engineering (DIATI), Politecnico di Torino, 10129 Torino, Italy.
Sensors (Basel). 2022 Sep 20;22(19):7130. doi: 10.3390/s22197130.
Groundwater resource assessment and forecasting in mountain areas requires the monitoring of two conditions, local meteorological conditions, and springs' groundwater parameters. The reliability of the monitoring data and conditions are linked to the technical instrumentation, multiparametric probes, and sensors. This paper presents a set of attractive tools and sensors for springs' groundwater resource monitoring and assessment in mountain basins. Data from the combination of weather station sensors with spring flow-rate instruments, installed in the alpine Mascognaz basin, can guarantee an entire understanding of how one set of parameters can affect other results, defining consequential cause-and-effect relationships. Since a large part of the Alpine groundwater bodies are exploited for drinking purposes, understanding the evolution of their rechange processes requires making the right economic and instrumental investments aimed at using them according to forecast predictions and sustainable development goals.
山区地下水资源评估和预测需要监测两个条件,即当地气象条件和泉水地下水资源参数。监测数据和条件的可靠性与技术仪器、多参数探头和传感器有关。本文提出了一套用于山区盆地泉水地下水资源监测和评估的有吸引力的工具和传感器。将气象站传感器与安装在高山 Mascognaz 盆地的泉水流量仪器相结合的数据,可以保证全面了解一组参数如何影响其他结果,从而确定因果关系。由于阿尔卑斯山地区的大部分地下水体都被用于饮用水开采,因此了解其补给过程的演变需要进行正确的经济和仪器投资,以根据预测和可持续发展目标来利用这些水资源。