scholarly journals Monitoring Water‐Soil Dynamics and Tree Survival Using Soil Sensors under a Big Data Approach

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4634
Author(s):  
Pascual ◽  
Rivera ◽  
Gómez ◽  
Domínguez-Lerena
Keyword(s):  
Big Data ◽  
Soil Water ◽  
Real Time ◽  
Water Dynamics ◽  
Species Selection ◽  
Soil Dynamics ◽  
Small Scale ◽  
Soil Water Dynamics ◽  
Soil Sensors ◽  
Tree Survival

The high importance of green urban planning to ensure access to green areas requires modern and multi-source decision-support tools. The integration of remote sensing data and sensor developments can contribute to the improvement of decision-making in urban forestry. This study proposes a novel big data-based methodology that combines real-time information from soil sensors and climate data to monitor the establishment of a new urban forest in semi-arid conditions. Water‐soil dynamics and their implication in tree survival were analyzed considering the application of different treatment restoration techniques oriented to facilitate the recovery of tree and shrub vegetation in the degraded area. The synchronized data-capturing scheme made it possible to evaluate hourly, daily, and seasonal changes in soil‐water dynamics. The spatial variation of soil‐water dynamics was captured by the sensors and it highly contributed to the explanation of the observed ground measurements on tree survival. The methodology showed how the efficiency of treatments varied depending on species selection and across the experimental design. The use of retainers for improving soil moisture content and adjusting tree-watering needs was, on average, the most successful restoration technique. The results and the applied calibration of the sensor technology highlighted the random behavior of water‐soil dynamics despite the small-scale scope of the experiment. The results showed the potential of this methodology to assess watering needs and adjust watering resources to the vegetation status using real-time atmospheric and soil data.

Surface soil water dynamics in pastures in northern New South Wales. 1. Use of electrical resistance sensors

2004 ◽  
Vol 44 (3) ◽  
pp. 273 ◽  
Author(s):  
S. R. Murphy ◽  
G. M. Lodge
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Real Time ◽  
Surface Runoff ◽  
Electrical Resistance ◽  
New South ◽  
Water Dynamics ◽  
Continuous Data ◽  
Soil Water Dynamics ◽  
South Wales

Stored soil water may influence both the generation of surface runoff and the rate of evapotranspiration from pastures, which may be significant in northern New South Wales. Continuous data is essential to fully understand these processes in field studies. Electrical resistance sensors were used to capture continuous data and they were calibrated directly for soil water content (SWC), so as to provide quantitative data in real time. Calibration equations (logarithmic regression) were significantly different for a range of installation depths (2.5–20 cm). To�provide quantitative insight into soil water dynamics in studies of stored soil water, surface runoff, and evapotranspiration, real time data were collected at intervals ranging from 4 min to 24 h. Resistance sensors provided estimates of stored soil water (0–30 cm) that differed by up to 29% compared with estimates obtained from using a neutron moisture metre alone. In surface runoff studies, data collected at 4 min intervals showed that runoff was generated when soil water content was high. In studies of evapotranspiration, daily data were used to quantify different evapotranspiration rates (2.3–4.9 mm/day) and progressive depth of drying for a range of treatments. We concluded that data collected in real time using resistance sensors may be used to make better estimates of SWC and so improve the interpretation of surface runoff generation and evapotranspiration data.

scholarly journals Testing the EPIC Richards submodel for simulating soil water dynamics under different bottom boundary conditions

2021 ◽  
Author(s):  
Matteo Longo ◽  
Curtis Dinnen Jones ◽  
Roberto César Izaurralde ◽  
Miguel L. Cabrera ◽  
Nicola Dal Ferro ◽  
...  
Keyword(s):  
Boundary Conditions ◽  
Soil Water ◽  
Water Dynamics ◽  
Soil Water Dynamics ◽  
Bottom Boundary

Numerical routine for soil water dynamics from trickle irrigation

2020 ◽  
Vol 83 ◽  
pp. 371-385 ◽  
Author(s):  
Ángel del Vigo ◽  
Sergio Zubelzu ◽  
Luis Juana
Keyword(s):  
Soil Water ◽  
Water Dynamics ◽  
Trickle Irrigation ◽  
Soil Water Dynamics

scholarly journals Analysis of Soil Water Response to Grass Transpiration

2013 ◽  
Vol 1 (No. 3) ◽  
pp. 85-98
Author(s):  
Dohnal Michal ◽  
Dušek Jaromír ◽  
Vogel Tomáš ◽  
Herza Jiří
Keyword(s):  
Soil Water ◽  
Water Uptake ◽  
Preferential Flow ◽  
Water Movement ◽  
Control Volume ◽  
Water Pressure ◽  
Lower Boundary ◽  
Root Water Uptake ◽  
Water Dynamics ◽  
Soil Water Dynamics

This paper focuses on numerical modelling of soil water movement in response to the root water uptake that is driven by transpiration. The flow of water in a lysimeter, installed at a grass covered hillslope site in a small headwater catchment, is analysed by means of numerical simulation. The lysimeter system provides a well defined control volume with boundary fluxes measured and soil water pressure continuously monitored. The evapotranspiration intensity is estimated by the Penman-Monteith method and compared with the measured lysimeter soil water loss and the simulated root water uptake. Variably saturated flow of water in the lysimeter is simulated using one-dimensional dual-permeability model based on the numerical solution of the Richards’ equation. The availability of water for the root water uptake is determined by the evaluation of the plant water stress function, integrated in the soil water flow model. Different lower boundary conditions are tested to compare the soil water dynamics inside and outside the lysimeter. Special attention is paid to the possible influence of the preferential flow effects on the lysimeter soil water balance. The adopted modelling approach provides a useful and flexible framework for numerical analysis of soil water dynamics in response to the plant transpiration.

Monitoring and modelling soil water dynamics using electromagnetic conductivity imaging and the ensemble Kalman filter

Geoderma ◽  
2017 ◽  
Vol 285 ◽  
pp. 76-93 ◽  
Author(s):  
Jingyi Huang ◽  
Alex B. McBratney ◽  
Budiman Minasny ◽  
John Triantafilis
Keyword(s):  
Kalman Filter ◽  
Soil Water ◽  
Ensemble Kalman Filter ◽  
Water Dynamics ◽  
Soil Water Dynamics ◽  
Conductivity Imaging

SIMULATION OF SOIL WATER DYNAMICS IN LAYERED SOILS

Soil Science ◽  
1977 ◽  
Vol 123 (1) ◽  
pp. 54-62 ◽  
Author(s):  
D. HILLEL ◽  
H. TALPAZ
Keyword(s):  
Soil Water ◽  
Water Dynamics ◽  
Layered Soils ◽  
Soil Water Dynamics
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