scholarly journals Influence of soil type on statistical characteristics and graphical results interpretation of the water storage distribution monitoring along the vertical of the soil profile

2021 ◽  
Vol 22 (1) ◽  
pp. 97-105
Author(s):  
Milan Gomboš ◽  
Andrej Tall ◽  
Branislav Kandra ◽  
Dana Pavelková
1993 ◽  
Vol 9 (2) ◽  
pp. 209-231 ◽  
Author(s):  
A. P. W. Hodder ◽  
M. Z. Graham

The extent of damage caused by an earthquake in Wellington, New Zealand, in 1968 to buildings erected on a variety of regoliths and foundation materials is correlated with the thickness of the regolith, the depth to the water table and semi-quantitative parameters derived from soil profile descriptions, particularly related to soil type and soil structure. From linear regression correlations, the expected damage for a comparable earthquake elsewhere can be determined. The model was tested for soil data for the Edgecumbe area, hit by a damaging earthquake in 1987. The predictions were sufficiently in accord with observations to suggest that soil properties that reflect the geotechnical properties of the upper parts of the regolith, particularly those that measure the shear strength, shear wave velocity and viscous damping of that material, may be useful for earthquake microzoning purposes in areas where there is a considerable thickness of unconsolidated materials above bedrock.


2016 ◽  
Vol 170 ◽  
pp. 91-98 ◽  
Author(s):  
Leonardo N.S. dos Santos ◽  
Edson E. Matsura ◽  
Ivo Z. Gonçalves ◽  
Eduardo A.A. Barbosa ◽  
Aline A. Nazário ◽  
...  

2014 ◽  
Vol 17 (1) ◽  
pp. 1-4
Author(s):  
Ľuboš Jurík ◽  
Tatiana Kaletová

Abstract The soil water storage in a soil profile was calculated from the measured values of volumetric soil water content by the Profile Probe PR2/6 (Delta-T Device Ltd.) in the Bocegaj catchment in the depth up to 1m. The monitored season in the year 2009 followed after a dry season, and in the year 2010, rainfalls were above the average values. The soil water storage was higher than the mean value of field capacity during the season with high precipitation events. With a decreased amount of rainfalls, rising air temperature and crops growing, the soil water storage was in recession. In the vertical direction, the volumetric soil moisture as well as soil water storage in every soil profile have their characteristic progresses.


2014 ◽  
Vol 29 (7) ◽  
pp. 1844-1860 ◽  
Author(s):  
Josie Geris ◽  
Doerthe Tetzlaff ◽  
Jeffrey McDonnell ◽  
Chris Soulsby

2008 ◽  
Vol 3 (Special Issue No. 1) ◽  
pp. S139-S146 ◽  
Author(s):  
J. Šútor ◽  
M. Gomboš ◽  
M. Kutílek ◽  
M. Krejča

During the vegetation season, the water storage in the soil aeration zone is influenced by meteorological phenomena and by the vegetated cover. If the groundwater table is in contact with the soil profile, its contribution to water storage must be considered. This impact can be either monitored directly or the mathematical model of the soil moisture regime can be used to simulate it. We present the results of monitoring soil water content in the aeration zone of the East Slovakian Lowland. The main problem is the evaluation of the soil water storage in seasons and in years in the soil profile. Until now, classification systems of the soil water regime evaluation have been mainly based upon climatological factors and soil morphology where the classification has been realized on the basis of indirect indicators. Here, a new classification system based upon quantified data sets is introduced and applied for the measured data. The system considers the degree of accessibility of soil water to plants, including the excess of soil water related to the duration for those characteristic periods. The time span is hierarchically arranged to differentiate between the dominant water storage periods and short-term fluctuations. The lowest taxonomic units characterize the vertical fluxes over time periods. The system allows the comparison of soil water regime taxons over several years and under different types of vegetative cover, or due to various types of land use. We monitored soil water content on two localities, one with a deep ground water level, one with a shallow ground water level. The profile with a shallow ground water level keeps a more uniform taxons and subtaxons of soil water regime due to the crop variation than the profile with a deep ground water level.


2021 ◽  
Vol 16 (1) ◽  
pp. 17-22
Author(s):  
Hanggari Sittadewi

Plant roots and litter produced by tree that grow have an important role in the entry of rainwater into the soil (infiltration) as water storage in the future. The effects of plant roots and litter on increasing infiltration rate is due to increased soil macroporosity. The presence of roots that spread in various layers in the soil profile will further increase the organic matter content of the soil and loosen the soil thereby increasing soil macroporosity. In addition, dead roots will form empty spaces that can be filled by infiltration water, as well as active roots that have gaps between roots and soil that can be filled infiltration water. The high infiltration rate will reduce the amount of excessive runoff water so as to reduce the occurrence of erosion.


2020 ◽  
Vol 100 (3) ◽  
pp. 263-277
Author(s):  
Yi Wang ◽  
Na Mao ◽  
Jiao Wang ◽  
Laiming Huang ◽  
Xiaoxu Jia ◽  
...  

The impact of hillslope vegetation restoration on the distribution and variability of carbon and water storage was studied across two catenary sequences of soils in the Liudaogou watershed of China’s Loess Plateau. Soil organic carbon storage (SOCS) under different land uses in the two catenas decreased significantly in the upper soil layers (<50 cm) but was relatively stable in the deeper soil layers (>50 cm). However, soil inorganic carbon storage (SICS) in the two catenas fluctuated (two maxima) with increasing soil depth. There was no significant difference of SOCS within the 200 cm soil profile between forestlands (FO) and grasslands (GR) at the catenary scale (p > 0.05). However, SICS in the 0–200 cm soil profile differed markedly between FO and GR (p < 0.05) in both catenas due to different degrees of root-facilitated CaCO3 redistribution. Based on the coefficient of variance (CV), soil water storage (SWS) was divided into three layers: active layer (0–100 cm, CV = 20%–30%), subactive layer (100–200 cm, CV = 10%–20%), and stable layer (200–500 cm, CV < 10%). The SWS in the 0–500 cm soil profile was slightly higher in GR than in FO on the two slopes because of the higher water consumption under tree plantation than native grasses. SOCS, SICS, and SWS can be predicted by multiple regression equations using different soil properties. The study demonstrated that SOCS, SICS, and SWS respond differently to vegetation restoration at the catenary scale, which must be taken into account for improving ecosystem model predictions of soil carbon and water fluxes in sloping lands.


Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2872 ◽  
Author(s):  
Yong Chen ◽  
Gary W. Marek ◽  
Thomas H. Marek ◽  
Kevin R. Heflin ◽  
Dana O. Porter ◽  
...  

Performance evaluations and corrections of soil water sensors have not been studied using different installation orientations under various irrigation treatments in the Texas High Plains. This study evaluated the performance of four sensors using factory calibration and derived field corrections as compared to calibrated neutron moisture meters (NMMs). Sensor performance was assessed using horizontal insertion, laid horizontal placement, and vertical insertion at 15.2, 45.7, and 76.2 cm depths in a clay loam soil with three irrigation treatments. Results indicated the factory-calibrated Acclima 315 L performed satisfactorily using horizontal insertion as compared to NMM measurements at 45.7 and 76.2 cm depths with a ±2% mean difference (MD) and <3.5% root mean square error (RMSE). The factory-calibrated Acclima 315 L using horizontal insertion also performed satisfactorily across all irrigation treatments according to soil profile water storage (MD = 0.36% and RMSE = 3.25%). Generally, the factory-calibrated Decagon GS1 and Campbell Scientific 655 using vertical insertion agreed more closely with NMM measurements compared with other installation orientations. There was a significant underestimation of water storage (>60 mm) in the 0.9 m soil profile using the Watermark 200SS. In summary, field corrections are required for Decagon GS1, Campbell Scientific 655, and Watermark 200SS sensors.


2013 ◽  
Vol 1 (No. 2) ◽  
pp. 39-48
Author(s):  
Brodský Radka Kodešová and Lukáš

CGMS (Crop Growth Monitoring System) developed by JRC is an integrated system to monitor crop behaviour and quantitative crop yield forecast that operates on a European scale. To simulate water balance in the root zone the simulation model CGMS-WOFOST (SUPIT &amp; VAN DER GOOT 2003) is used that is based on water storage routing. This study was performed to assess a possible impact of simplifications of the water storage routing based model on simulated water regime in the soil profile. Results of CGMS-WOFOST are compared with results of a more precise Richards&rsquo; equation based model HYDRUS-1D (&Scaron;IMŮNEK et al. 2005). 16 scenarios are simulated using HYDRUS-1D. Each scenario represents a single soil profile presented in the selected cell of GRID50 in the Czech Republic. Geometry of the soil profiles, material (texture) definition, root distributions, measured daily rainfall, calculated daily evaporation from the bare soil surface and transpiration of crop canopy were defined similarly to CGMS-WOFOST inputs according to the data stored in the SGDBE40 database. The soil hydraulic properties corresponding to each soil layer were defined using the class transfer rules (W&Ouml;STEN et al. 1999). The bottom boundary conditions were defined either similarly to CGMS-WOFOST bottom boundary condition as a free drainage or as a constant water level 250 cm below the soil surface to demonstrate a ground water impact on the soil profile water balance. The relative soil moisture (RSM) in the root zone during the vegetation period was calculated to be compared with the similar output from CGMS. The RSM values obtained using HYDRUS-1D are higher than those obtained using CGMS-WOFOST mostly due to higher retention ability of HYDRUS-1D. The reasonably higher RSM values were obtained at the end of simulated period using the HYDRUS-1D for the constant water level 250 cm below the soil surface.


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