Hydrophysical characteristics of selected soils from arctic and temperate zones

Witkowska-Walczak, B.; Bartmiński, Piotr; Sławiński, Cezary

doi:10.1515/intag-2015-0059

Cited by 5 publications

(5 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Baseline values of different categories of pores and pore size distribution are used as criteria for assessing the effects of management practices (Hajnos et al, 2006;Lipiec et al, 2012). Comparative studies on the hydrophysical properties and pore structure of soils from different climatic zones (Witkowska-Walczak et al, 2015) and soils with different genesis (Dilkova, 2014;Sławiński et al, 2011) are important for understanding and predicting the ongoing changes of the soil hydrological functions. Data on nitrogen and water vapour adsorption in soils are used to evaluate the surface area of adsorbents, surface roughness or irregularity, and energetic parameters (Sokołowska and Bańka, 2009;Sokołowska et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

Physical parameters of Fluvisols on flooded and non-flooded terraces

Kercheva

Sokołowska

Hajnos

et al. 2017

International Agrophysics

View full text Add to dashboard Cite

The heterogeneity of soil physical properties of Fluvisols, lack of large pristine areas, and different moisture regimes on non-flooded and flooded terraces impede the possibility to find a soil profile which can serve as a baseline for estimating the impact of natural or anthropogenic factors on soil evolution. The aim of this study is to compare the pore size distribution of pristine Fluvisols on flooded and non-flooded terraces using the method of the soil water retention curve, mercury intrusion porosimetry, nitrogen adsorption isotherms, and water vapour sorption. The pore size distribution of humic horizons of pristine Fluvisols on the non-flooded terrace differs from pore size distribution of Fluvisols on the flooded terrace. The peaks of textural and structural pores are higher in the humic horizons under more humid conditions. The structural characteristics of subsoil horizons depend on soil texture and evolution stage. The peaks of textural pores at about 1 mm diminish with lowering of the soil organic content. Structureless horizons are characterized by uni-modal pore size distribution. Although the content of structural pores of the subsoil horizons of Fluvisols on the non-flooded terrace is low, these pores are represented by biopores, as the coefficient of filtration is moderately high. The difference between non-flooded and flooded profiles is well expressed by the available water storage, volume and mean radius of pores, obtained by mercury intrusion porosimetry and water desorption, which are higher in the surface horizons of frequently flooded Fluvisols.

show abstract

Section: Introductionmentioning

confidence: 99%

Physical parameters of Fluvisols on flooded and non-flooded terraces

Kercheva

Sokołowska

Hajnos

et al. 2017

International Agrophysics

View full text Add to dashboard Cite

show abstract

“…The high field water holding capacity of organic soil was due to the high proportion of organic matter in the soil. This soil component is characterised by a high capacity to retain and store water (Walczak et al, 2002), and belongs, besides granulometric composition, to the key factors shaping water retention of soil (Manns, Parkin and Martin, 2016;Plošek et al, 2017).…”

Section: Resultsmentioning

confidence: 99%

Quantification of nitrates leaching from grassland soils in winter using the Burns model

Pietrzak,

Urbaniak

2024

Journal of Water and Land Development

View full text Add to dashboard Cite

This paper presents the results of a study on the level of nitrate leaching from the 0–30 cm layer of grassland (GL) soil in the Lublin Voivodship during the winters of 2018/2019, 2019/2020 and 2020/2021. The amounts of leached nitrates were determined using the Burns model. For the calculations based on this model – directly and indirectly, the results determination of residual nitrate nitrogen, texture and organic matter in GL soils, obtained within the framework of agricultural monitoring of soils by the National Chemical and Agricultural Station (KSChR), and results of system meteorological measurements conducted by the Institute of Meteorology and Water Management – National Research Institute (IMGW-PIB) were used. The analysed soil samples were taken from 39 permanent control and measurement grassland sites. The research discovered in particular that: – the average leaching of nitrate nitrogen from GL mineral soil in the three analysed periods was 16.2 and 5.1 kg N∙ha–1 from organic soil; – on average, in autumn during the entire study period, 55.3% of NO3-N leached from the 0–30 cm layer of GL mineral soil, and 27.3% from organic soil; – among different agronomic categories of mineral soil, the highest leaching of NO3-N was recorded from medium soil (17.4 kg N∙ha–1) and the lowest from heavy soil (11.5 kg N∙ha–1); – individually determined values of NO3-N leaching from soil varied significantly from 0 to 68.5 kg N∙ha–1 for mineral soil and from 0.1 to 23.65 kg N∙ha–1 for organic soil.

show abstract

“…It appears that the effects are not easily generalisable across different soils, probably because the hydraulic properties depend on more complex phenomenon (such as pore size distribution, layering, macropore connectivity, hydrophyllic/hydrophobic properties of organic matter etc. ), so are not easily predictable purely from soil texture (Walczak et al, 2002;Wang et al, 2022). There may be similar phenomena in the time domain, for example if extreme drying causes the soil structure to change, so that the response to rainfall is no longer linear, or changes over time.…”

Section: Discussionmentioning

confidence: 99%

Mapping soil moisture across the UK: assimilating cosmic-ray neutron sensors, remotely-sensed indices, rainfall radar and catchment water balance data in a Bayesian hierarchical model

Levy

2023

Preprint

View full text Add to dashboard Cite

Abstract. Soil moisture is important in many hydrological and ecological processes. However, data sets which are currently available have issues with accuracy and resolution. To translate remotely-sensed data to an absolute measure of soil moisture requires mapped estimates of soil hydrological properties and estimates of vegetation properties, and this introduces considerable uncertainty. We present an alternative methodology for producing daily maps of soil moisture over the UK at 2-km resolution ("SMUK"). The method is based on a simple empirical model, calibrated with five years of daily data from cosmic-ray neutron sensors at ~40 sites across the country. The model is driven by precipitation, humidity, a remotely-sensed "soil water index" satellite product, and soil porosity. The model explains around 70 % of the variance in the daily observations. The spatial variation in the parameter describing the soil water retention (and thereby the response to precipitation) was estimated using daily water balance data from ~1200 catchments with good coverage across the country. The model parameters were estimated by Bayesian calibration using a Markov chain Monte Carlo method, so as to characterise the posterior uncertainty in the parameters and predictions. We found that the simple model could emulate the behaviour of a more complex process-based model. Given the high resolution of the inputs in time and space, the model can predict the very detailed variation in soil moisture which arises from the sporadic nature of precipitation events, including the small-scale and short-term variations associated with orographic and convective rainfall. Predictions over the period 2016 to 2023 demonstrated realistic patterns following the passage of weather fronts and prolonged droughts. The model has negligible computation time, and inputs and predictions are updated daily, lagging approximately one week behind real time.

show abstract

Hydrophysical characteristics of selected soils from arctic and temperate zones

Cited by 5 publications

References 15 publications

Physical parameters of Fluvisols on flooded and non-flooded terraces

Physical parameters of Fluvisols on flooded and non-flooded terraces

Quantification of nitrates leaching from grassland soils in winter using the Burns model

Mapping soil moisture across the UK: assimilating cosmic-ray neutron sensors, remotely-sensed indices, rainfall radar and catchment water balance data in a Bayesian hierarchical model

Contact Info

Product

Resources

About