Estimating PM10 emissions from spring wheat harvest using an atmospheric tracer technique

Qiu, Guowang; Pattey, E.

doi:10.1016/j.atmosenv.2008.07.022

Cited by 15 publications

(10 citation statements)

References 6 publications

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“…1 and 2, bar and pie charts) for all days and for all categories indicates the highest value at stage 3, which is partially caused by additional long range-transport. In the coarse mode stages (stage 4 and 5), mostly particles from re-emission by wind erosion and agricultural activity are found (Qiu and Pattey 2008). Modified sea salt, plant waxes and reemitted detritus were also found on these two stages (Pio and Lopes 1998;Yue and Fraser 2004).…”

Section: Gravimetric Massmentioning

confidence: 95%

Size-segregated characterization of PM10 at the EMEP site Melpitz (Germany) using a five-stage impactor: a six year study

et al. 2012

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Size-segregated particle samples were collected using a Berner 5-stage impactor (stages 1-5: 0.05-0.14-0.42-1.2-3.5-10 μm aerodynamic diameter). The means for all 169 days and for different categories of days were used for a characterization. The sorting criteria were (a) the distinction between winter (Wi, November to April) and summer (Su, May to October), (b) the distinction between air mass inflow from a sector West (W, 210°-320°) and from a sector East (E, 35°-140°). For the assignment of the air mass origin 96-h backward trajectories were used and four categories (WiW, WiE, SuW and SuE) with 48, 18, 42 and 29 days were established. The lowest mean particle mass concentrations were found for SuW and the highest for WiE with relative mass concentration distributions of 5.9, 28.2, 36.5, 18.0, and 11.4 % and 3.5, 22.7, 52.6, 16.7, and 4.5 % for stages 1-5, respectively. The mass closure for water soluble ions, water, organic material (OM) and elemental carbon (EC) accounts for 81-99 % of the gravimetric mass in Wi and for 60-81 % for Su, depending on the stage. The fractions of nitrate were relatively high for WiW while sulphate fractions are high for WiE. The estimated concentrations of secondary organic carbon (SOA) on stage 3 for WiW, WiE, SuW and SuE were 0.32, 1.25, 0.27 and 0.58 μgm − ³, respectively. The highest amount of SOA is found for WiE, representing 59 % of organic carbon (OC). The highest difference in the percentages of SOA in OC was found between winter (WiW 55 %, WiE 59 %) and summer (SuW and SuE 74 %) indicating photochemical processes during long-range transport. The mean Carbon Preference Indices (CPI) are highest for SuE (stage 4: 7.57 and stage 5: 9.82) resulting mainly from plant wax abrasion in the surrounding forests. For WiE the mean PAH concentration on stage 3 (9.7 ngm −3 ) is about five times higher than for WiW, indicating long range transport following domestic heating and other combustion processes.

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Section: Gravimetric Massmentioning

confidence: 95%

Size-segregated characterization of PM10 at the EMEP site Melpitz (Germany) using a five-stage impactor: a six year study

et al. 2012

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“…To our knowledge, the current studies mainly focused on the emission factors of PM during wheat harvest or the impact of subsequent biomass burning on local and urban areas (Qiu and Pattey, 2008;Yao et al, 2017;Chen et al, 2018).…”

Section: A C C E P T E Dmentioning

confidence: 99%

“…-3 . It was should be noted that higher PM2.5 levels appeared in ARS instead of UA indicating that the strong impact of wheat harvest activities on PM2.5 level (Qiu and Pattey. 2008;Li et al, 2021;Zhang et al, 2020).…”

Section: Geo-accumulation Indexes (Igeo) Of Inorganic Elements (Ies)mentioning

confidence: 99%

“…Large amounts fugitive dust release from the disturbance of dust absorbed in wheat straw and surface soil by harvesters, wind, and cultivators (Li et al, 2020a and2020b). Qiu and Pattey. (2008) reported that the emission rate and factor for PM10 during WH period were up to 0.58 ± 0.12 g m -2 and 0.74 ± 0.12 kg ha -1 , respectively.…”

Section: Introductionmentioning

confidence: 99%

“…As a large agricultural country, China contributed more than 24% of global carbonaceous aerosols, especially from field burning of biomass. The particulate matter (PM) emissions related to agricultural operations has constituted an emerging issue about air quality, especially in the areas between rural and urban environments (Qiu and Pattey, 2008;Wang et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Levels, Chemical Compositions, and Sources of PM2.5 of Rural and Urban Area under the Impact of Wheat Harvest

Yue

Yang

et al. 2021

Aerosol Air Qual. Res.

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Wheat harvest (WH) largely alters the PM2.5 characteristics for rural and adjacent urban areas.A systematic PM2.5 sampling campaign was conducted in an urban area (UA) and a rural site (ARS) in the center of Beijing-Tianjin-Hebei during and after WH (DWH and AWH). PM2.5 levels (in µg m -3 ) in both ARS and UA increased from 75.5 to 156, and from 53.1 to 137 along with the transition from AWH to DWH. Hysteresis of PM2.5 peaks in UA further proved the migration effect of "Rural to Urban". High Igeo values were found for crustal elements in two sites evidencing the WH derived dust emissions. Soil dust shares in PM2.5 decreased from 9.40% to 6.75% and 21.3% to 7.98% for UA and ARS from DWH to AWH, while biomass-burning markers Cland K + increased from 3360 to 6650 and 3630 to 7500 µg g -1 for UA, and from 5050 to 9370 and 5480 to 8090 µg g -1 for ARS. Six sources were identified by PMF including coal combustion (CC), vehicle exhaust (VE), industrial source (IS), biomass burning (BB), secondary inorganic aerosol (SIA), and fugitive dust (FD). FD dominated in ARS during DWH, and higher shares occurred in AWH for UA. BB shares in two sites increased from DWH to AWH attributing to the biomass burning for maize planting. It was surprising to point out higher VE shares appeared in ARS instead of UA due to the operation of harvesters and cultivators. Much higher IS shares in UA indicated that local industrial emission control should be enhanced.Certain CC shares in both UA and ARS implied that coal was still an important fuel regardless of the government decree of "Coal Limitation".

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Seasonal characteristics of water-soluble inorganic ions and carbonaceous aerosols in total suspended particulate matter at a rural semi-arid site, Kadapa (India)

Begam

Vachaspati

Ahammed

et al. 2016

Environ Sci Pollut Res

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To better understand the sources as well as characterization of regional aerosols at a rural semi-arid region Kadapa (India), size-resolved composition of atmospheric particulate matter (PM) mass concentrations was sampled and analysed. This was carried out by using the Anderson low-pressure impactor for a period of 2 years during March 2013-February 2015. Also, the variations of organic carbon (OC), elemental carbon (EC) and water-soluble inorganic ion components (WSICs) present in total suspended particulate matter (TSPM) were studied over the measurement site. From the statistical analysis, the PM mass concentration showed a higher abundance of coarse mode particles than the fine mode during pre-monsoon season. In contrast, fine mode particles in the PM concentration showed dominance over coarse mode particle contribution during the winter. During the post-monsoon season, the percentage contributions of coarse and fine fractions were equal, whereas during the monsoon, coarse mode fraction was approximately 26 % higher than the fine mode. This distinct feature in the case of fine mode particles during the studied period is mainly attributed to large-scale anthropogenic activities and regional prevailing meteorological conditions. Further, the potential sources of PM have been identified qualitatively by using the ratios of certain ions. A high sulphate (SO) concentration at the measurement site was observed during the studied period which is caused by the nearby/surrounding mining activity. Carbon fractions (OC and EC) were also analysed from the TSPM, and the results indicated (OC/EC ratio of ~4.2) the formation of a secondary organic aerosol. At last, the cluster backward trajectory analyses were also performed at Kadapa for different seasons to reveal the origin of sources from long-range transport during the study period.

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Estimating PM10 emissions from spring wheat harvest using an atmospheric tracer technique

Cited by 15 publications

References 6 publications

Size-segregated characterization of PM10 at the EMEP site Melpitz (Germany) using a five-stage impactor: a six year study

Size-segregated characterization of PM10 at the EMEP site Melpitz (Germany) using a five-stage impactor: a six year study

Levels, Chemical Compositions, and Sources of PM2.5 of Rural and Urban Area under the Impact of Wheat Harvest

Seasonal characteristics of water-soluble inorganic ions and carbonaceous aerosols in total suspended particulate matter at a rural semi-arid site, Kadapa (India)

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