Water Research Institute, National Research Council of Italy, 70132 Bari, Italy.
U.S. Geological Survey, 345 Middlefield Rd., MS-420, Menlo Park, CA 94025, USA.
Sensors (Basel). 2021 Feb 14;21(4):1358. doi: 10.3390/s21041358.
Preferential pathways allow rapid and non-uniform water movement in the subsurface due to strong heterogeneity of texture, composition, and hydraulic properties. Understanding the importance of preferential pathways is crucial, because they have strong impact on flow and transport hydrodynamics in the unsaturated zone. Particularly, improving knowledge of the water dynamics is essential for estimating travel time through soil to quantify hazards for groundwater, assess aquifer recharge rates, improve agricultural water management, and prevent surface stormflow and flooding hazards. Small scale field heterogeneities cannot be always captured by the limited number of point scale measurements collected. In order to overcome these limitations, noninvasive geophysical techniques have been widely used in the last decade to predict hydrodynamic processes, due to their capability to spatialize hydrogeophysical properties with high resolution. In the test site located in Bari, Southern Italy, the geophysical approach, based on electrical resistivity tomography (ERT) monitoring, has been implemented to detect preferential pathways triggered by an artificial rainfall event. ERT-derived soil moisture estimations were obtained in order to quantitatively predict the water storage (mm), water velocity (ms), and spread (m) through preferential pathways by using spatial moments analysis.
由于质地、组成和水力性质的强烈非均质性,优势路径允许地下水在地下快速且非均匀地流动。了解优势路径的重要性至关重要,因为它们对非饱和带中的流动和输运水动力有很强的影响。特别是,提高对水动力的认识对于估计通过土壤的传输时间以量化地下水危害、评估含水层补给率、改进农业水资源管理以及防止地表暴洪和洪水危害是必不可少的。小规模的现场非均质性可能无法总是被有限数量的点尺度测量所捕获。为了克服这些限制,在过去十年中,非侵入性地球物理技术已被广泛用于预测水动力过程,因为它们具有以高分辨率对水文地球物理性质进行空间化的能力。在位于意大利南部巴里的试验场,基于电阻率层析成像(ERT)监测的地球物理方法已被用于检测人工降雨事件引发的优势路径。通过空间矩分析,获得了 ERT 衍生的土壤湿度估计值,以定量预测通过优势路径的储水量(mm)、水流速度(ms)和传播距离(m)。