| Title | Evidence of Preferential Flow Activation in the Vadose Zone via Geophysical Monitoring |
| Abstract | 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 (m(3)m(-3)), water velocity (ms(-1)), and spread (m(2)) through preferential pathways by using spatial moments analysis. |
| Source | Sensors (Basel) 21 (4) |
| Keywords | preferential flowtime-lapse ERTmoment analysis |
| Journal | Sensors (Basel) |
| Editor | Molecular Diversity Preservation International (MDPI),, Basel, |
| Year | 2021 |
| Type | Articolo in rivista |
| DOI | 10.3390/s21041358 |
| Authors | De Carlo, Lorenzo; Perkins, Kimberlie; Caputo, Maria Clementina |
| Text | 465780 2021 10.3390/s21041358 ISI Web of Science WOS 000624660600001 preferential flow time lapse ERT moment analysis Evidence of Preferential Flow Activation in the Vadose Zone via Geophysical Monitoring De Carlo, Lorenzo; Perkins, Kimberlie; Caputo, Maria Clementina 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 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 m 3 m 3 , water velocity ms 1 , and spread m 2 through preferential pathways by using spatial moments analysis. 21 Published version https //www.mdpi.com/1424 8220/21/4/1358 05/02/2021 This research was funded by the Italian Ministry of Foreign Affairs and International Cooperation Maeci , grant number US16GR01, within the project Predictive methods for unsaturated zone preferential flow in porous and fractured rock Evidence of Preferential Flow Activation in the Vadose Zone via Geophysical Monitoring file pdf dell articolo pubblicato Sensors_14_feb_2021.pdf Articolo in rivista Molecular Diversity Preservation International MDPI , 1424 8220 Sensors Basel Sensors Basel Sensors Basel Sensors. Basel mariaclementina.caputo CAPUTO MARIA CLEMENTINA lorenzo.decarlo DE CARLO LORENZO |
