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The emission of particulate matter from agricultural sources is a worldwide environmental issue due to health concerns.

The main factors influencing PM10 emission from crop production are the origin of particles, the physical and chemical properties of soils, meteorological conditions, and the mechanical impacts of farm operations. Several studies have been made to determine PM10 emission factors for tillage operations, but these emission factors varied depending on soil properties, especially soil texture and water content, and environmental conditions (e.g. relative humidity, and variability in wind speed and direction). This is why the use of a single emission factor for a given tillage operation is inadequate.

To estimate the yearly amount of PM10 emitted from agricultural soils and crop production, emissions originating from different sources at different temporal division must be summarized. Because 56 % of the total territory of Hungary is cropland, relatively high PM10 emission occurs from crop production and agricultural soils. If this is to be reduced, research should focus on the identification of soil and environmental properties related to PM10 emission on characteristic Hungarian soils.

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Agrokémia és Talajtan
Authors: Boglárka Keller, Judit Szabó, Csaba Centeri, Gergely Jakab and Zoltán Szalai


Adaptation is the most important strategy to reduce the effect of climate change and soil erosion. During this process adequate, rational land use is necessary to ensure climate resilience. Therefore, the main objective in this study was to evaluate the susceptibility of different land use intensities (arable land and grassland) to soil erosion. The rainfall simulation method is a good tool to measure and estimate soil erosion in situ. The comparative measurements were carried out in the field with a Shower Power-02 simulator on 6 m2 plots in Gerézdpuszta, where the slope angles were ~8% and the simulated rainfall events had high intensities (~70-96 mm h−1). The runoff and soil loss were significantly higher from arable land. The runoff-infiltration ratio and runoff coefficient showed lower infiltration capacity in the case of arable land. On average, the suspended sediment loads were tenfold higher under intensive land use. In the case of grassland a moderate increase in infiltration was observed due to higher rainfall intensity, as also reported in the literature. The rainfall simulation method provides good data for soil loss estimations.

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