PM2.5 and PM10 emissions from agricultural soils by wind erosion

Li, Hongli; Tatarko, John; Kucharski, Matthew; Zhi, Dong

doi:10.1016/j.aeolia.2015.02.003

Cited by 40 publications

(23 citation statements)

References 34 publications

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“…The second potential source is present near the air quality monitoring station, which is the roadside and this source is not representative of an urban traffic area. The small PM 2.5 /PM 10 ratio would be emitted from soils by wind erosion 43 and primary sources related to mechanical processes 38 . Therefore, the near source would be related to the resuspended road dust from transporting mining products as also suggested by Phetrawech and Thepanondh 14 , 44 not tailpipe.…”

Section: Resultsmentioning

confidence: 99%

Characterising particulate matter source contributions in the pollution control zone of mining and related industries using bivariate statistical techniques

Sooktawee

Kanabkaew

Boonyapitak

et al. 2020

Sci Rep

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Na Phra Lan Subdistrict is a pollution control zone with the highest PM10 level in Thailand. Major mobile and industrial sources in the area are related to stone crushing, quarrying and mining. This study used statistical techniques to investigate the potential sources influencing high PM10 levels in Na Phra Lan. Hourly PM10 data and related parameters (PM2.5, PMcoarse and NOx) from 2014–2017 were analysed using time series, bivariate polar plot and conditional bivariate probability function (CBPF). Results of diurnal variation revealed two peaks of PM10 levels from 06:00–10:00 and 19:00–23:00 every month. For seasonal variation, high PM10 concentrations were found from October to February associated with the cool and dry weather during these months. The bivariate polar plot and CBPF confirmed two potential sources, i.e., resuspended dust from mobile sources close to the air quality monitoring station (receptor) and industrial sources of mining, quarrying and stone crushing far from the station on the northeast side. While the industrial source areas played a role in background PM10 concentrations, the influence of mobile sources increased the concentrations resulting in two PM10 peaks daily. From the study results, we proposed that countermeasure activities should focus on potential source areas, resuspended road dust from vehicles and the industrial sources related to quarrying and mining, rather than distributing equal attention to all sources.

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Section: Resultsmentioning

confidence: 99%

Characterising particulate matter source contributions in the pollution control zone of mining and related industries using bivariate statistical techniques

Sooktawee

Kanabkaew

Boonyapitak

et al. 2020

Sci Rep

View full text Add to dashboard Cite

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“…However, all soil types (except Fluvo‐aquic) had low clay content (<10%) in the Tarim Basin (Table ). Soils with low clay content typically result in high PM10 emissions (Hagen, ; Li et al, ), thus clay content probably had little influence on differences in PM10 loss among basins. Although the Tu‐ha Basin had the highest monthly bare soil and PM10 loss, the frequency of dust events in the basin is not the highest in the region.…”

Section: Resultsmentioning

confidence: 99%

Wind erosion and dust emissions in central Asia: Spatiotemporal simulations in a typical dust year

Sharratt²,

Lei

2018

Earth Surf Processes Landf

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The prediction of wind erosion and dust emissions is important for controlling erosion and identifying dust sources in arid and semiarid regions of the world. This study predicts quantitatively wind erosion and dust emissions in Xinjiang Province, central Asia. The wind erosion prediction system (WEPS) was used to simulate annual soil and PM10 (particulate matter ≤10 μm in aerodynamic diameter) loss at 64 meteorological stations across the province. Soil and PM10 loss were simulated from bare surfaces at all 64 stations and from cotton and wheat fields at 11 stations. Simulated annual bare soil and PM10 loss were lowest in the Junggar (soil and PM10 loss were, respectively, 121.7 and 7.6 kg m‐2) and Tarim basins (soil loss was 78.2 kg ha‐1 and PM10 loss was 6.5 kg m‐2) and highest in the Tu‐ha Basin (soil and PM10 loss were, respectively, 638.2 and 37.7 kg m‐2). Stations with the highest annual soil loss in the Tarim and Tu‐ha basins also had the highest number of days with wind speeds >8 m s‐1. This indicated wind influenced erosion, but other factors such as soil type also affect wind erosion. The maximum monthly bare soil and PM10 loss occurred in May in the three basins, substantiating that dust storms occur most frequently during spring in the region. Simulated soil and PM10 loss were lower for cotton and wheat than bare soil, thus suggesting that maintaining vegetative cover during a portion of the year provided some protection to the soil surface from wind erosion. © 2018 John Wiley & Sons, Ltd.

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“…Reduced immobilization results in increased movement of unbound agents and dispersal in aqueous forms. Lower abundances of clay also result in the reduced physical stability of soils and increased susceptibility to wind erosion and dust emissions 29 , 46 . Prions have been detected in dust 47 , and if deer can acquire CWD from dust-bound prions, it can be surmised that soil characteristics and conditions that favor dust emissions such as less physically stable soils are more likely to be aerosolized during grazing or rutting behaviors potentially leading to enhanced exposure of deer to prions in the soil through inhalation and ingestion of dust-bound prions.…”

Section: Discussionmentioning

confidence: 99%

Clay content and pH: soil characteristic associations with the persistent presence of chronic wasting disease in northern Illinois

Dorak

Green

Wander

et al. 2017

Sci Rep

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Environmental reservoirs are important to infectious disease transmission and persistence, but empirical analyses are relatively few. The natural environment is a reservoir for prions that cause chronic wasting disease (CWD) and influences the risk of transmission to susceptible cervids. Soil is one environmental component demonstrated to affect prion infectivity and persistence. Here we provide the first landscape predictive model for CWD based solely on soil characteristics. We built a boosted regression tree model to predict the probability of the persistent presence of CWD in a region of northern Illinois using CWD surveillance in deer and soils data. We evaluated the outcome for possible pathways by which soil characteristics may increase the probability of CWD transmission via environmental contamination. Soil clay content and pH were the most important predictive soil characteristics of the persistent presence of CWD. The results suggest that exposure to prions in the environment is greater where percent clay is less than 18% and soil pH is greater than 6.6. These characteristics could alter availability of prions immobilized in soil and contribute to the environmental risk factors involved in the epidemiological complexity of CWD infection in natural populations of white-tailed deer.

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PM2.5 and PM10 emissions from agricultural soils by wind erosion

Cited by 40 publications

References 34 publications

Characterising particulate matter source contributions in the pollution control zone of mining and related industries using bivariate statistical techniques

Characterising particulate matter source contributions in the pollution control zone of mining and related industries using bivariate statistical techniques

Wind erosion and dust emissions in central Asia: Spatiotemporal simulations in a typical dust year

Clay content and pH: soil characteristic associations with the persistent presence of chronic wasting disease in northern Illinois

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