scholarly journals Proximal Gamma-Ray Spectroscopy: An Effective Tool to Discern Rain from Irrigation

2021 ◽  
Vol 13 (20) ◽  
pp. 4103
Author(s):  
Andrea Serafini ◽  
Matteo Albéri ◽  
Michele Amoretti ◽  
Stefano Anconelli ◽  
Enrico Bucchi ◽  
...  

Proximal gamma-ray spectroscopy is a consolidated technology for a continuous and real‑time tracing of soil water content at field scale. New developments have shown that this method can also act as an unbiased tool for remotely distinguishing rainwater from irrigation without any meteorological support information. Given a single detector, the simultaneous observation in a gamma spectrum of a transient increase in the 214Pb signal, coupled with a decrease in the 40K signal, acts as an effective proxy for rainfall. A decrease in both 214Pb and 40K signals is, instead, a reliable fingerprint for irrigation. We successfully proved this rationale in two data-taking campaigns performed on an agricultural test field with different crop types (tomato and maize). The soil moisture levels were assessed via the 40K gamma signal on the basis of a one-time setup calibration. The validation against a set of gravimetric measurements showed excellent results on both bare and vegetated soil conditions. Simultaneously, the observed rain-induced increase in the 214Pb signal permitted to identify accurately the rain and irrigation events occurred in the 8852 h of data taking.

Geoderma ◽  
2019 ◽  
Vol 335 ◽  
pp. 69-77 ◽  
Author(s):  
Marica Baldoncini ◽  
Matteo Albéri ◽  
Carlo Bottardi ◽  
Enrico Chiarelli ◽  
Kassandra Giulia Cristina Raptis ◽  
...  

2020 ◽  
Vol 136 ◽  
pp. 103502 ◽  
Author(s):  
Paolo Filippucci ◽  
Angelica Tarpanelli ◽  
Christian Massari ◽  
Andrea Serafini ◽  
Virginia Strati ◽  
...  

2012 ◽  
Vol 9 (2) ◽  
pp. 2511-2539 ◽  
Author(s):  
S. Popp ◽  
D. Altdorff ◽  
P. Dietrich

Abstract. Hill-slopes of several hectares in size represent a difficult scale for subsurface characterization, as these landscape units are well beyond the scope of traditional point-scale techniques. By means of electromagnetic induction (EMI) and gamma-ray spectroscopy, spatially distributed soil proxy data were collected from a heterogeneous hill-slope site. Results of repeated EMI mapping using the EM38DD showed that soil electrical conductivity (ECa) is highly variable at both temporal and spatial scales. Calibration of the integral ECa signal to soil moisture is hampered by the ambiguous response of EMI to the clay-rich hill-slope underground. Given a stationarity signal of geologic background, temporal changes of ECa are attributable to relative soil-moisture dynamic. Gamma-ray results were obtained during a single survey, along with EM measurements and selected soil sampling. In contrast to ECa, a noticeable correlation between Total Count and K emission data and soil-water content seemed to be present. Relevant proxy variables from both methods were used for k-means clustering in order to distinguish between hill-slope areas with different soil conditions. As a result, we obtained a suitable partition of hill-slope that was comparable with a previously obtained zonation model based on ecological factors.


2019 ◽  
Author(s):  
Lili Tian ◽  
Feng Zhang ◽  
Quanying Zhang ◽  
Qian Chen ◽  
Xinguang Wang ◽  
...  

Agronomy ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 708
Author(s):  
Phanthasin Khanthavong ◽  
Shin Yabuta ◽  
Hidetoshi Asai ◽  
Md. Amzad Hossain ◽  
Isao Akagi ◽  
...  

Flooding and drought are major causes of reductions in crop productivity. Root distribution indicates crop adaptation to water stress. Therefore, we aimed to identify crop roots response based on root distribution under various soil conditions. The root distribution of four crops—maize, millet, sorghum, and rice—was evaluated under continuous soil waterlogging (CSW), moderate soil moisture (MSM), and gradual soil drying (GSD) conditions. Roots extended largely to the shallow soil layer in CSW and grew longer to the deeper soil layer in GSD in maize and sorghum. GSD tended to promote the root and shoot biomass across soil moisture status regardless of the crop species. The change of specific root density in rice and millet was small compared with maize and sorghum between different soil moisture statuses. Crop response in shoot and root biomass to various soil moisture status was highest in maize and lowest in rice among the tested crops as per the regression coefficient. Thus, we describe different root distributions associated with crop plasticity, which signify root spread changes, depending on soil water conditions in different crop genotypes as well as root distributions that vary depending on crop adaptation from anaerobic to aerobic conditions.


2021 ◽  
pp. 136438
Author(s):  
A. Algora ◽  
E. Ganioğlu ◽  
P. Sarriguren ◽  
V. Guadilla ◽  
L.M. Fraile ◽  
...  

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