Meteorological conditions during dust (PM10) emission from a tilled loam soil: Identifying variables and thresholds
Soil wind erosion and consequent PM10 emission is a complex process that has been related to surface properties and meteorological conditions. Most of the studies have emphasized on the relationship between the surface conditions and the dust emission, in general on deserts and dry lakes or playas....
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| Format: | Artículo |
| Language: | Inglés |
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Elsevier
2018
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| Online Access: | http://hdl.handle.net/20.500.12123/3940 https://www.sciencedirect.com/science/article/pii/S0168192317301818?via%3Dihub https://doi.org/10.1016/j.agrformet.2017.05.016 |
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| author | Avecilla, Fernando Panebianco, Juan Esteban Buschiazzo, Daniel Eduardo |
| author_browse | Avecilla, Fernando Buschiazzo, Daniel Eduardo Panebianco, Juan Esteban |
| author_facet | Avecilla, Fernando Panebianco, Juan Esteban Buschiazzo, Daniel Eduardo |
| author_sort | Avecilla, Fernando |
| collection | INTA Digital |
| description | Soil wind erosion and consequent PM10 emission is a complex process that has been related to surface properties and meteorological conditions. Most of the studies have emphasized on the relationship between the surface conditions and the dust emission, in general on deserts and dry lakes or playas. Little is known about the influence of meteorological variables on PM10 emission from agricultural soils. The objective of this study was to identify the most important meteorological variables involved in the emission of PM10, identify their threshold values, and to analyze their interaction with the soil surface conditions. Measurements were made on a loam soil (Entic Haplustoll) in the semiarid Argentinian Pampa. Horizontal mass transport (Q) and PM10 emission were measured during two years on a bare and flat surface that was tilled periodically. The meteorological variables measured were: average and maximum wind speed, wind direction, air temperature, relative humidity and soil temperature. In 30% of the events, the PM10 concentration at 1.8 m height exceeded the average values allowed by the World Health Organization (50 μg m−3 for a 24 h period). Maximum values exceeded 1000 μg m−3. The slope of the PM10 concentration gradient changed between spring − summer and autumn − winter periods. Threshold values of the studied variables were set when PM10 concentration values at 1.8 m height were consistently above the 50 μg m−3 limit. The highest PM10 emission rates were observed when relative humidity values were below 20% and the air temperature was higher than 30 °C. In addition when the wind speed exceeded 8 m s−1, dust emission increased significantly. From a multiple regression analysis, results indicated that PM10 emission was well correlated (p < 0.001) with maximum wind speed, relative humidity, and air temperature. Maximum wind speed and relative humidity conditioned the PM10 emission in a synergistic way. However, the regression explained only 32% of the variability. Although higher average PM10 emission values were measured during events with a crusted surface, lower average values of Q were measured during events with a crust. Field observations indicated that the complex interaction between the weather conditions and soil surface properties such as soil crusts, aggregate size distribution, soil moisture and even the soil condition when the tilling is done, can produce a high variability and unpredictability, of the PM10 emission from bare agricultural soils. |
| format | Artículo |
| id | INTA3940 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | INTA39402018-11-21T14:45:29Z Meteorological conditions during dust (PM10) emission from a tilled loam soil: Identifying variables and thresholds Avecilla, Fernando Panebianco, Juan Esteban Buschiazzo, Daniel Eduardo Erosión Suelo Franco Condiciones Atmosféricas Loam Soils Meteorological Factors PM10 Fine Particles Erodibility Erosionabilidad Soil wind erosion and consequent PM10 emission is a complex process that has been related to surface properties and meteorological conditions. Most of the studies have emphasized on the relationship between the surface conditions and the dust emission, in general on deserts and dry lakes or playas. Little is known about the influence of meteorological variables on PM10 emission from agricultural soils. The objective of this study was to identify the most important meteorological variables involved in the emission of PM10, identify their threshold values, and to analyze their interaction with the soil surface conditions. Measurements were made on a loam soil (Entic Haplustoll) in the semiarid Argentinian Pampa. Horizontal mass transport (Q) and PM10 emission were measured during two years on a bare and flat surface that was tilled periodically. The meteorological variables measured were: average and maximum wind speed, wind direction, air temperature, relative humidity and soil temperature. In 30% of the events, the PM10 concentration at 1.8 m height exceeded the average values allowed by the World Health Organization (50 μg m−3 for a 24 h period). Maximum values exceeded 1000 μg m−3. The slope of the PM10 concentration gradient changed between spring − summer and autumn − winter periods. Threshold values of the studied variables were set when PM10 concentration values at 1.8 m height were consistently above the 50 μg m−3 limit. The highest PM10 emission rates were observed when relative humidity values were below 20% and the air temperature was higher than 30 °C. In addition when the wind speed exceeded 8 m s−1, dust emission increased significantly. From a multiple regression analysis, results indicated that PM10 emission was well correlated (p < 0.001) with maximum wind speed, relative humidity, and air temperature. Maximum wind speed and relative humidity conditioned the PM10 emission in a synergistic way. However, the regression explained only 32% of the variability. Although higher average PM10 emission values were measured during events with a crusted surface, lower average values of Q were measured during events with a crust. Field observations indicated that the complex interaction between the weather conditions and soil surface properties such as soil crusts, aggregate size distribution, soil moisture and even the soil condition when the tilling is done, can produce a high variability and unpredictability, of the PM10 emission from bare agricultural soils. EEA Anguil Fil: Avecilla, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; Argentina Fil: Panebianco, Juan Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; Argentina Fil: Buschiazzo, Daniel Eduardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; Argentina 2018-11-21T14:41:19Z 2018-11-21T14:41:19Z 2017-10-15 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/3940 https://www.sciencedirect.com/science/article/pii/S0168192317301818?via%3Dihub 0168-1923 https://doi.org/10.1016/j.agrformet.2017.05.016 eng info:eu-repo/semantics/restrictedAccess application/pdf Elsevier Agricultural and forest meteorology 244–245 : 21-32. (15 October 2017) |
| spellingShingle | Erosión Suelo Franco Condiciones Atmosféricas Loam Soils Meteorological Factors PM10 Fine Particles Erodibility Erosionabilidad Avecilla, Fernando Panebianco, Juan Esteban Buschiazzo, Daniel Eduardo Meteorological conditions during dust (PM10) emission from a tilled loam soil: Identifying variables and thresholds |
| title | Meteorological conditions during dust (PM10) emission from a tilled loam soil: Identifying variables and thresholds |
| title_full | Meteorological conditions during dust (PM10) emission from a tilled loam soil: Identifying variables and thresholds |
| title_fullStr | Meteorological conditions during dust (PM10) emission from a tilled loam soil: Identifying variables and thresholds |
| title_full_unstemmed | Meteorological conditions during dust (PM10) emission from a tilled loam soil: Identifying variables and thresholds |
| title_short | Meteorological conditions during dust (PM10) emission from a tilled loam soil: Identifying variables and thresholds |
| title_sort | meteorological conditions during dust pm10 emission from a tilled loam soil identifying variables and thresholds |
| topic | Erosión Suelo Franco Condiciones Atmosféricas Loam Soils Meteorological Factors PM10 Fine Particles Erodibility Erosionabilidad |
| url | http://hdl.handle.net/20.500.12123/3940 https://www.sciencedirect.com/science/article/pii/S0168192317301818?via%3Dihub https://doi.org/10.1016/j.agrformet.2017.05.016 |
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