Pedotransfer functions for predicting heavy metals in natural soils using magnetic measures and soil properties

The aim of this study was to determine soil properties influence on the heavy metals sorption by vegetables which are used in the diet and possibilities for prediction of their bioaccumulation by response surface methodology (RSM). Lettuce was used as biosorbent, and cadmium (Cd) and lead (Pb) were used as contaminants. Lettuce is grown on compost (previously contaminated with different concentrations of Cd and Pb) which pH was adjusted with different amounts of NPK fertilizers. The content of heavy metals was determined by ICP-MS. Results showed that Cd content in lettuce was below the toxic values, but Pb concentration was above allowable, which indicates that limit value for Pb is not set in accordance with the food safety regulations. It was found that the heavy metals accumulation in plants depends not only on its content in the soil, but also on the plant affinity to the specific metal, and the individual or the interactive effects of different soil properties. Through the transfer factor it was found that lettuce has a much higher affinity to Cd in relation to Pb. RSM has proved to be very good for the examination of a large number of variables with a small number of experiments.

Download Full-text

Agricultural Cenosis Pollution by Heavy Metals from Past Ecological Damage Objects

Safety in Technosphere ◽

10.12737/20792 ◽

2016 ◽

Vol 5 (2) ◽

pp. 18-24 ◽

Cited By ~ 2

Author(s):

Дрегуло ◽

A. Dregulo ◽

Кулибаба ◽

Valeriy Kulibaba ◽

Питулько ◽

...

Keyword(s):

Heavy Metals ◽

Soil Properties ◽

Negative Trend ◽

Environmental Damage ◽

Ecological Damage ◽

Podzolic Soils ◽

Treatment Facilities

Parameters of heavy metals (accumulated in objects with past environmental damage, e.g. unauthorized dumps of municipal wastes, sludge deposits from treatment facilities, and reclaimed quarries) distribution in soddy podzolic soils’ agrocenosis have been studied in this paper. Negative changes of soils’ properties for the lands, periodically experiencing contamination from the objects with past environmental damage have been characterized. In the conditions of minimization of mechanical impact on soil, a negative trend in soil properties changing on the adjacent to objects with past environmental damage lands at preservation of uncontaminated automorphic analogs has been tracked. Agrocenosis degradation indicators are substantially defined by past ecological damage objects’ specifics.

Download Full-text

Diagnostic role of soil physical properties of forest biogeocoenoses of the Ukrainian steppe zone

Ecology and Noospherology ◽

10.15421/031814 ◽

2018 ◽

Vol 29 (2) ◽

Author(s):

V. A. Gorban

Keyword(s):

Physical Properties ◽

Soil Properties ◽

Granulometric Composition ◽

Steppe Zone ◽

Diagnostic Value ◽

Soil Physical Properties ◽

Soil Science ◽

Pedotransfer Functions ◽

Diagnostic Feature ◽

Aggregate Composition

For the current stage of the development of soil science it is relevant to search for objectively existing interactions between the various soil properties. Solving this issue most appropriately should be based on the establishment of pedotransfer functions. Pedotransfer functions appeared at the time of the birth of quantitative soil science, when one of the properties of the soil tried to predict others when it became clear that everything in the soil is interrelated when it was established that there is a well-defined number of fundamental, basic properties of the soil, which is basically defines its other properties. Accordingly, the purpose of our work is to establish the diagnostic value of the individual soil physical properties of forest biogeocoenoses of the steppe by means of determining the existing interconnections between them and other properties and characteristics of these soils. The solution of this issue is one of the tasks of developing research on the soil physical properties of forest biogeocoenoses of the Ukrainian steppe zone. The diagnostic value of granulometric and structural-aggregate composition, density and permeability for determining the general state of soils due to the existence of certain interactions between the indicated parameters and other soil properties is considered. The granulometric composition is a fundamental soil characteristic that determines not only the physical state, but also all the main soil properties and regimes of forest biogeocoenoses of the Ukrainian steppe zone. The structural and aggregate composition is an important complex diagnostic feature of chernozem, which helps to reveal the peculiarities of their genesis under the influence of forest vegetation, in particular as a result of changes in the content and composition of organic matter, exchange cations, the influence of root vegetation systems, etc. The soil density, due to existing interactions with other soil properties, is an important diagnostic feature that reflects the features of their genesis and regimes, which determines the specificity of the ecological functions of the soils of forest biogeocoenoses of the Ukrainian steppe zone. Water permeability can be considered as a complex characteristic of soils, which to a certain extent reflects their granulometric composition, porosity, structural and aggregate composition, determines the features of the water-air regime. The differences of physical properties of zonal chernozems and chernozems, the genesis of which are connected with artificial and natural forest biogeocoenoses within the steppe zone of Ukraine, are analyzed. The relevance of the further search for relationships between physical indicators that are easily and promptly analyzed, and other soil properties for expanding diagnostic possibilities with respect to their genesis is pointed out.

Download Full-text

Effects of soil properties on food web accumulation of heavy metals to the wood mouse (Apodemus sylvaticus)

Environmental Pollution ◽

10.1016/j.envpol.2009.07.013 ◽

2010 ◽

Vol 158 (1) ◽

pp. 245-251 ◽

Cited By ~ 28

Author(s):

Nico van den Brink ◽

Dennis Lammertsma ◽

Wim Dimmers ◽

Marie-Claire Boerwinkel ◽

Annemariet van der Hout

Keyword(s):

Heavy Metals ◽

Soil Properties ◽

Food Web ◽

Wood Mouse ◽

Apodemus Sylvaticus

Download Full-text

Improving the global modeling of soils in JULES and the Unified Model: Updating from UM/HWSD to SoilGrids soil properties and from the Brooks & Corey to the van Genuchten soil-hydraulics model

10.5194/ismc2021-63 ◽

2021 ◽

Author(s):

Patrick C. McGuire ◽

Pier Luigi Vidale ◽

Martin J. Best ◽

David H. Case ◽

Imtiaz Dharssi ◽

...

Keyword(s):

Soil Properties ◽

Land Surface ◽

Climate Model ◽

Model Updating ◽

Unified Model ◽

Pedotransfer Functions ◽

Hydraulic Parameters ◽

Near Surface ◽

Soil Database ◽

Soil Hydraulic

&#160;&#160;&#160; We have updated the soil properties used in JULES (Joint UK Land Environment Simulator), which is the land-surface component of the UM (Unified Model, the UK Met Office&#8217;s climate model). JULES models the interaction of the land surface with the atmosphere, and simulates the energy, water, and carbon fluxes. JULES allows either: (i) the Brooks & Corey (BC) model for estimating soil hydraulic properties, or (ii) the van Genuchten (VG) model but using hydraulic parameters translated from the BC model. One advantage of the VG model over the BC model is the smoother dependence of water retention upon matric potential for nearly saturated soils. Herein, we report on our work towards fully implementing the VG model in JULES and in the UM, through the implementation and evaluation of several VG pedotransfer functions (PTFs) for estimating the soil hydraulic parameters used in the hydraulic functions. &#160;&#160;&#160; We have tested three VG PTFs in global offline JULES runs (driven with WFDEI data over 1979-2012): the combination of T&#243;th et al. PTFs 17 & 20, the Weynants et al. PTF, and the Zhang & Schaap ROSETTA3 H1 PTF (modified for sandy soils). We also modernized the soil basic properties that are conventionally used for JULES and the UM, from the UM version of the Harmonized World Soil Database (HWSD) to the SoilGrids database. &#160;&#160;&#160; Evaluation of JULES simulations shows (i) that the modified version of the Zhang & Schaap ROSETTA3 H1 PTF is the best VG option, and (ii) that it compares favorably with the BC control model (which uses the Cosby et al. PTF and the UM/HWSD soils), in terms of the surface energy balance and the mitigation of near-surface temperature biases over mid-latitude continental regions. This modified version of the Zhang & Schaap ROSETTA3 H1 PTF with SoilGrids soils is also currently being used in coupled land-atmosphere UM runs.

Download Full-text

Spatial Distribution of Soil Properties and Heavy Metals Content around a Cement Factory in Al-Hasa Oasis, Saudi Arabia

Environmental Management and Engineering / 731,733: Unconventional Oil ◽

10.2316/p.2011.736-014 ◽

2011 ◽

Cited By ~ 1

Author(s):

Abdulrasoul M. Al-Omran ◽

Salem E. El-Maghraby ◽

Mahmoud E.A. Nadeem ◽

Ali M. El-Eter ◽

Salem M.I. Al Qahtani

Keyword(s):

Heavy Metals ◽

Saudi Arabia ◽

Spatial Distribution ◽

Soil Properties ◽

Cement Factory

Download Full-text

Impacts of heavy metals and soil properties at a Nigerian e-waste site on soil microbial community

Journal of Hazardous Materials ◽

10.1016/j.jhazmat.2018.08.060 ◽

2019 ◽

Vol 362 ◽

pp. 187-195 ◽

Cited By ~ 50

Author(s):

Bo Jiang ◽

Adedoyin Adebayo ◽

Jianli Jia ◽

Yi Xing ◽

Songqiang Deng ◽

...

Keyword(s):

Heavy Metals ◽

Microbial Community ◽

Soil Properties ◽

Soil Microbial Community ◽

Waste Site ◽

Soil Microbial

Download Full-text

Pedotransfer functions to estimate bulk density from soil properties and environmental covariates: Rio Doce basin

Scientia Agricola ◽

10.1590/0103-9016-2015-0485 ◽

2016 ◽

Vol 73 (6) ◽

pp. 525-534 ◽

Cited By ~ 16

Author(s):

Eliana de Souza ◽

Elpídio Inácio Fernandes Filho ◽

Carlos Ernesto Gonçalves Reynaud Schaefer ◽

Niels H. Batjes ◽

Gerson Rodrigues dos Santos ◽

...

Keyword(s):

Soil Properties ◽

Bulk Density ◽

Pedotransfer Functions ◽

Environmental Covariates

Download Full-text

Uncertainty analysis for large-scale prediction of the van Genuchten soil-water retention parameters with pedotransfer functions

Soil Research ◽

10.1071/sr13230 ◽

2014 ◽

Vol 52 (5) ◽

pp. 431 ◽

Cited By ~ 5

Author(s):

K. Liao ◽

S. Xu ◽

J. Wu ◽

Q. Zhu

Keyword(s):

Soil Properties ◽

Soil Water ◽

Water Retention ◽

Pedotransfer Functions ◽

Soil Water Retention ◽

Input Uncertainty ◽

Spatial Estimation ◽

Uncertainty Measurement ◽

Error Bars ◽

Retention Parameters

Hydrological, environmental and ecological modellers require van Genuchten soil-water retention parameters that are difficult to measure. Pedotransfer functions (PTFs) are thus routinely applied to predict hydraulic parameters (θs, ln(α) and n) from basic soil properties (e.g. bulk density, soil texture and organic matter content). This study investigated the spatial variations of van Genuchten parameters via geostatistical methods (e.g. kriging and co-kriging with remote-sensing data) and multiple-stepwise-regression-based PTFs with a limited number of samples (58) collected in Pingdu City, Shandong Province, China. The uncertainties in the spatial estimation of van Genuchten parameters were evaluated using bootstrap and Latin hypercube sampling methods. Results show that PTF-estimated parameters are less varied than observed parameters. The uncertainty in the parameter estimation is mainly due to the limited number of samples used for deriving PTFs (intrinsic uncertainty) and spatial interpolations of basic soil properties by (co)kriging (input uncertainty). When considering the intrinsic uncertainty, 36%, 29% and 47% of measurements are within the corresponding error bars (95% confidence intervals of the predictions) for the θs, ln(α) and n, respectively. When considering both intrinsic and input uncertainties, 86%, 66% and 88% of observations are within the corresponding error bars for the θs, ln(α) and n, respectively. Therefore, the input uncertainty is more important in the spatial estimation of van Genuchten parameters than the intrinsic uncertainty. Measurement of basic soil properties at high resolution and properly use of powerful spatial interpolation approach are both critical in the accurate spatial estimation of van Genuchten parameters.

Download Full-text