Trace elements of concern affecting urban agriculture in industrialized areas: A multivariate approach

Boente, Carlos; Matanzas, Nora; García-González, Nerea; Rodríguez-Valdés, Eduardo; Gallego, J.R.

doi:10.1016/j.chemosphere.2017.05.129

Cited by 47 publications

(17 citation statements)

References 41 publications

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“…There are several socioeconomic and environmental benefits [17,20,21] to urban agriculture. However, there are several concerns as well, such as the impacts of pollution in food quality as a consequence of the air, soil, and water used in irrigation [22,23]. Other important aspects related to agriculture is the type of management carried out.…”

Section: Introductionmentioning

confidence: 99%

Agricultural and Forest Land-Use Impact on Soil Properties in Zagreb Periurban Area (Croatia)

et al. 2020

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In urban areas, land use usually increases soil degradation. However, there are areas occupied by agriculture and woodlands with an essential role in provisioning food and other services such as water and climate regulation. The objective of this work was to assess the effect of long-term land use and soil management practices on peri-urban soils in Zagreb (Croatia). Samples were collected at depth 0–10 cm within intensively tilled cropland (CROP) and vineyard (VINE), traditional grass-covered orchard (ORCH), and forest (FOR). The results showed that bulk density was significantly higher in VINE and CROP than in ORCH and FOR. The opposite dynamic was observed in water-holding capacity, air-filled porosity, aggregate stability, organic matter, and soil organic matter stocks (SOCS). Soil water infiltration was higher in FOR plot compared to the other plots. Overall, land-use change had a substantial impact on soil properties and SOCS, especially in CROP and VINE soils. Tillage, pesticides, and fertilizer applications were presumably the reasons for altered soil quality properties. Intensively used areas (VINE and CROPS) may reduce soil ecosystems services such as the capacity for flood retention and C sequestration.

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Section: Introductionmentioning

confidence: 99%

Agricultural and Forest Land-Use Impact on Soil Properties in Zagreb Periurban Area (Croatia)

et al. 2020

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“…zeolite, diatomite, chalcedonite, dolomite, limestone, and activated carbon ( Table 2- 3). Being one of the factors that affect the form the trace elements occur in the soil environment, the pH value determines their availability to plants (Boente et al 2017). A negative correlation (r=-0.751) was observed in our study for the soil sampled from control pots between its pH value and increasing contamination with Pb, Cd, and Zn.…”

Section: Resultsmentioning

confidence: 48%

Evaluation of the addition of immobilizing agents on selected physicochemical properties of soil contaminated with heavy metals

Vaverková

2018

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“…The third and fourth factors explained a very low proportion of variance and were considered secondary. These factors included TEs Cu, Zn and Sn, showing mixed behavior with regard to the first two factors [53].…”

Section: Te Apportionment In Urban and Industrial Top Soilmentioning

confidence: 99%

Data Mining for Source Apportionment of Trace Elements in Water and Solid Matrix

Shan¹,

Shi²

2021

Trace Metals in the Environment - New Approaches and Recent Advances

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Trace elements migrate among different environment bodies with the natural geochemical reactions, and impacted by human industrial, agricultural, and civil activities. High load of trace elements in water, river and lake sediment, soil and air particle lead to potential to health of human being and ecological system. To control the impact on environment, source apportionment is a meaningful, and also a challenging task. Traditional methods to make source apportionment are usually based on geochemical techniques, or univariate analysis techniques. In recently years, the methods of multivariate analysis, and the related concepts data mining, machine learning, big data, are developing fast, which provide a novel route that combing the geochemical and data mining techniques together. These methods have been proved successful to deal with the source apportionment issue. In this chapter, the data mining methods used on this topic and implementations in recent years are reviewed. The basic method includes principal component analysis, factor analysis, clustering analysis, positive matrix fractionation, decision tree, Bayesian network, artificial neural network, etc. Source apportionment of trace elements in surface water, ground water, river and lake sediment, soil, air particles, dust are discussed.

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Trace elements of concern affecting urban agriculture in industrialized areas: A multivariate approach

Cited by 47 publications

References 41 publications

Agricultural and Forest Land-Use Impact on Soil Properties in Zagreb Periurban Area (Croatia)

Agricultural and Forest Land-Use Impact on Soil Properties in Zagreb Periurban Area (Croatia)

Evaluation of the addition of immobilizing agents on selected physicochemical properties of soil contaminated with heavy metals

Data Mining for Source Apportionment of Trace Elements in Water and Solid Matrix

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