Contribution of biogenic sources to secondary organic aerosol in the summertime in Shaanxi, China
A revised Community Multi-scale Air Quality (CMAQ) model with updated secondary organic aerosol (SOA) yields and a more detailed description of SOA formation from isoprene (ISOP) oxidation was applied to study the spatial distribution of SOA, its components and precursors in Shaanxi in July of 2013....
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Xu, Yong [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020transfer abstract |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: MPI vs Fortran coarrays beyond 100k cores: 3D cellular automata - Shterenlikht, Anton ELSEVIER, 2019, chemistry, biology and toxicology as related to environmental problems, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:254 ; year:2020 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.chemosphere.2020.126815 |
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ELV05048172X |
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| 245 | 1 | 0 | |a Contribution of biogenic sources to secondary organic aerosol in the summertime in Shaanxi, China |
| 264 | 1 | |c 2020transfer abstract | |
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| 520 | |a A revised Community Multi-scale Air Quality (CMAQ) model with updated secondary organic aerosol (SOA) yields and a more detailed description of SOA formation from isoprene (ISOP) oxidation was applied to study the spatial distribution of SOA, its components and precursors in Shaanxi in July of 2013. The emissions of biogenic volatile organic compounds (BVOCs) were generated using the Model of Emissions of Gases and Aerosols from Nature (MEGAN), of which ISOP and monoterpene (MONO) were the top two, with 1.73 × 109 mol and 1.82 × 108 mol, respectively. The spatial distribution of BVOCs emission was significantly correlated with the vegetation coverage distribution. ISOP and its intermediate semi-volatile gases were up to ∼7.0 and ∼1.4 ppb respectively in the ambient. SOA was generally 2–6 μg/m3, of which biogenic SOA (BSOA) accounted for as high as 84% on average. There were three main BVOCs Precursors including ISOP (58%) and MONO (8%) emit in the studied domain, and ISOP (9%) transported. The Guanzhong Plain had the highest BSOA concentrations of 3–5 μg/m3, and the North Shaanxi had the lowest of 2–3 μg/m3. More than half of BSOA was due to reactive surface uptake of ISOP epoxide (0.2–0.7 μg/m3, ∼19%), glyoxal (GLY) (0.2–0.5 μg/m3, ∼11%) and methylglyoxal (MGLY) (0.4–1.4 μg/m3, ∼32%), while the remaining was due to the traditional equilibrium partitioning of semi-volatile components (0.1–1.2 μg/m3, ∼25%) and oligomerization (0.2–0.4 μg/m3, ∼12%). Overall, SOA formed from ISOP contributed 1–3 μg/m3 (∼80%) to BSOA. | ||
| 520 | |a A revised Community Multi-scale Air Quality (CMAQ) model with updated secondary organic aerosol (SOA) yields and a more detailed description of SOA formation from isoprene (ISOP) oxidation was applied to study the spatial distribution of SOA, its components and precursors in Shaanxi in July of 2013. The emissions of biogenic volatile organic compounds (BVOCs) were generated using the Model of Emissions of Gases and Aerosols from Nature (MEGAN), of which ISOP and monoterpene (MONO) were the top two, with 1.73 × 109 mol and 1.82 × 108 mol, respectively. The spatial distribution of BVOCs emission was significantly correlated with the vegetation coverage distribution. ISOP and its intermediate semi-volatile gases were up to ∼7.0 and ∼1.4 ppb respectively in the ambient. SOA was generally 2–6 μg/m3, of which biogenic SOA (BSOA) accounted for as high as 84% on average. There were three main BVOCs Precursors including ISOP (58%) and MONO (8%) emit in the studied domain, and ISOP (9%) transported. The Guanzhong Plain had the highest BSOA concentrations of 3–5 μg/m3, and the North Shaanxi had the lowest of 2–3 μg/m3. More than half of BSOA was due to reactive surface uptake of ISOP epoxide (0.2–0.7 μg/m3, ∼19%), glyoxal (GLY) (0.2–0.5 μg/m3, ∼11%) and methylglyoxal (MGLY) (0.4–1.4 μg/m3, ∼32%), while the remaining was due to the traditional equilibrium partitioning of semi-volatile components (0.1–1.2 μg/m3, ∼25%) and oligomerization (0.2–0.4 μg/m3, ∼12%). Overall, SOA formed from ISOP contributed 1–3 μg/m3 (∼80%) to BSOA. | ||
| 650 | 7 | |a MEGAN |2 Elsevier | |
| 650 | 7 | |a CMAQ |2 Elsevier | |
| 650 | 7 | |a Precursors |2 Elsevier | |
| 650 | 7 | |a BSOA |2 Elsevier | |
| 650 | 7 | |a Isoprene |2 Elsevier | |
| 700 | 1 | |a Chen, Yonggui |4 oth | |
| 700 | 1 | |a Gao, Jingsi |4 oth | |
| 700 | 1 | |a Zhu, Shengqiang |4 oth | |
| 700 | 1 | |a Ying, Qi |4 oth | |
| 700 | 1 | |a Hu, Jianlin |4 oth | |
| 700 | 1 | |a Wang, Peng |4 oth | |
| 700 | 1 | |a Feng, Liguo |4 oth | |
| 700 | 1 | |a Kang, Haibin |4 oth | |
| 700 | 1 | |a Wang, Dexiang |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Shterenlikht, Anton ELSEVIER |t MPI vs Fortran coarrays beyond 100k cores: 3D cellular automata |d 2019 |d chemistry, biology and toxicology as related to environmental problems |g Amsterdam [u.a.] |w (DE-627)ELV002112701 |
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10.1016/j.chemosphere.2020.126815 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001209.pica (DE-627)ELV05048172X (ELSEVIER)S0045-6535(20)31008-0 DE-627 ger DE-627 rakwb eng 004 620 VZ 54.25 bkl Xu, Yong verfasserin aut Contribution of biogenic sources to secondary organic aerosol in the summertime in Shaanxi, China 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A revised Community Multi-scale Air Quality (CMAQ) model with updated secondary organic aerosol (SOA) yields and a more detailed description of SOA formation from isoprene (ISOP) oxidation was applied to study the spatial distribution of SOA, its components and precursors in Shaanxi in July of 2013. The emissions of biogenic volatile organic compounds (BVOCs) were generated using the Model of Emissions of Gases and Aerosols from Nature (MEGAN), of which ISOP and monoterpene (MONO) were the top two, with 1.73 × 109 mol and 1.82 × 108 mol, respectively. The spatial distribution of BVOCs emission was significantly correlated with the vegetation coverage distribution. ISOP and its intermediate semi-volatile gases were up to ∼7.0 and ∼1.4 ppb respectively in the ambient. SOA was generally 2–6 μg/m3, of which biogenic SOA (BSOA) accounted for as high as 84% on average. There were three main BVOCs Precursors including ISOP (58%) and MONO (8%) emit in the studied domain, and ISOP (9%) transported. The Guanzhong Plain had the highest BSOA concentrations of 3–5 μg/m3, and the North Shaanxi had the lowest of 2–3 μg/m3. More than half of BSOA was due to reactive surface uptake of ISOP epoxide (0.2–0.7 μg/m3, ∼19%), glyoxal (GLY) (0.2–0.5 μg/m3, ∼11%) and methylglyoxal (MGLY) (0.4–1.4 μg/m3, ∼32%), while the remaining was due to the traditional equilibrium partitioning of semi-volatile components (0.1–1.2 μg/m3, ∼25%) and oligomerization (0.2–0.4 μg/m3, ∼12%). Overall, SOA formed from ISOP contributed 1–3 μg/m3 (∼80%) to BSOA. A revised Community Multi-scale Air Quality (CMAQ) model with updated secondary organic aerosol (SOA) yields and a more detailed description of SOA formation from isoprene (ISOP) oxidation was applied to study the spatial distribution of SOA, its components and precursors in Shaanxi in July of 2013. The emissions of biogenic volatile organic compounds (BVOCs) were generated using the Model of Emissions of Gases and Aerosols from Nature (MEGAN), of which ISOP and monoterpene (MONO) were the top two, with 1.73 × 109 mol and 1.82 × 108 mol, respectively. The spatial distribution of BVOCs emission was significantly correlated with the vegetation coverage distribution. ISOP and its intermediate semi-volatile gases were up to ∼7.0 and ∼1.4 ppb respectively in the ambient. SOA was generally 2–6 μg/m3, of which biogenic SOA (BSOA) accounted for as high as 84% on average. There were three main BVOCs Precursors including ISOP (58%) and MONO (8%) emit in the studied domain, and ISOP (9%) transported. The Guanzhong Plain had the highest BSOA concentrations of 3–5 μg/m3, and the North Shaanxi had the lowest of 2–3 μg/m3. More than half of BSOA was due to reactive surface uptake of ISOP epoxide (0.2–0.7 μg/m3, ∼19%), glyoxal (GLY) (0.2–0.5 μg/m3, ∼11%) and methylglyoxal (MGLY) (0.4–1.4 μg/m3, ∼32%), while the remaining was due to the traditional equilibrium partitioning of semi-volatile components (0.1–1.2 μg/m3, ∼25%) and oligomerization (0.2–0.4 μg/m3, ∼12%). Overall, SOA formed from ISOP contributed 1–3 μg/m3 (∼80%) to BSOA. MEGAN Elsevier CMAQ Elsevier Precursors Elsevier BSOA Elsevier Isoprene Elsevier Chen, Yonggui oth Gao, Jingsi oth Zhu, Shengqiang oth Ying, Qi oth Hu, Jianlin oth Wang, Peng oth Feng, Liguo oth Kang, Haibin oth Wang, Dexiang oth Enthalten in Elsevier Science Shterenlikht, Anton ELSEVIER MPI vs Fortran coarrays beyond 100k cores: 3D cellular automata 2019 chemistry, biology and toxicology as related to environmental problems Amsterdam [u.a.] (DE-627)ELV002112701 volume:254 year:2020 pages:0 https://doi.org/10.1016/j.chemosphere.2020.126815 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 54.25 Parallele Datenverarbeitung VZ AR 254 2020 0 |
| spelling |
10.1016/j.chemosphere.2020.126815 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001209.pica (DE-627)ELV05048172X (ELSEVIER)S0045-6535(20)31008-0 DE-627 ger DE-627 rakwb eng 004 620 VZ 54.25 bkl Xu, Yong verfasserin aut Contribution of biogenic sources to secondary organic aerosol in the summertime in Shaanxi, China 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A revised Community Multi-scale Air Quality (CMAQ) model with updated secondary organic aerosol (SOA) yields and a more detailed description of SOA formation from isoprene (ISOP) oxidation was applied to study the spatial distribution of SOA, its components and precursors in Shaanxi in July of 2013. The emissions of biogenic volatile organic compounds (BVOCs) were generated using the Model of Emissions of Gases and Aerosols from Nature (MEGAN), of which ISOP and monoterpene (MONO) were the top two, with 1.73 × 109 mol and 1.82 × 108 mol, respectively. The spatial distribution of BVOCs emission was significantly correlated with the vegetation coverage distribution. ISOP and its intermediate semi-volatile gases were up to ∼7.0 and ∼1.4 ppb respectively in the ambient. SOA was generally 2–6 μg/m3, of which biogenic SOA (BSOA) accounted for as high as 84% on average. There were three main BVOCs Precursors including ISOP (58%) and MONO (8%) emit in the studied domain, and ISOP (9%) transported. The Guanzhong Plain had the highest BSOA concentrations of 3–5 μg/m3, and the North Shaanxi had the lowest of 2–3 μg/m3. More than half of BSOA was due to reactive surface uptake of ISOP epoxide (0.2–0.7 μg/m3, ∼19%), glyoxal (GLY) (0.2–0.5 μg/m3, ∼11%) and methylglyoxal (MGLY) (0.4–1.4 μg/m3, ∼32%), while the remaining was due to the traditional equilibrium partitioning of semi-volatile components (0.1–1.2 μg/m3, ∼25%) and oligomerization (0.2–0.4 μg/m3, ∼12%). Overall, SOA formed from ISOP contributed 1–3 μg/m3 (∼80%) to BSOA. A revised Community Multi-scale Air Quality (CMAQ) model with updated secondary organic aerosol (SOA) yields and a more detailed description of SOA formation from isoprene (ISOP) oxidation was applied to study the spatial distribution of SOA, its components and precursors in Shaanxi in July of 2013. The emissions of biogenic volatile organic compounds (BVOCs) were generated using the Model of Emissions of Gases and Aerosols from Nature (MEGAN), of which ISOP and monoterpene (MONO) were the top two, with 1.73 × 109 mol and 1.82 × 108 mol, respectively. The spatial distribution of BVOCs emission was significantly correlated with the vegetation coverage distribution. ISOP and its intermediate semi-volatile gases were up to ∼7.0 and ∼1.4 ppb respectively in the ambient. SOA was generally 2–6 μg/m3, of which biogenic SOA (BSOA) accounted for as high as 84% on average. There were three main BVOCs Precursors including ISOP (58%) and MONO (8%) emit in the studied domain, and ISOP (9%) transported. The Guanzhong Plain had the highest BSOA concentrations of 3–5 μg/m3, and the North Shaanxi had the lowest of 2–3 μg/m3. More than half of BSOA was due to reactive surface uptake of ISOP epoxide (0.2–0.7 μg/m3, ∼19%), glyoxal (GLY) (0.2–0.5 μg/m3, ∼11%) and methylglyoxal (MGLY) (0.4–1.4 μg/m3, ∼32%), while the remaining was due to the traditional equilibrium partitioning of semi-volatile components (0.1–1.2 μg/m3, ∼25%) and oligomerization (0.2–0.4 μg/m3, ∼12%). Overall, SOA formed from ISOP contributed 1–3 μg/m3 (∼80%) to BSOA. MEGAN Elsevier CMAQ Elsevier Precursors Elsevier BSOA Elsevier Isoprene Elsevier Chen, Yonggui oth Gao, Jingsi oth Zhu, Shengqiang oth Ying, Qi oth Hu, Jianlin oth Wang, Peng oth Feng, Liguo oth Kang, Haibin oth Wang, Dexiang oth Enthalten in Elsevier Science Shterenlikht, Anton ELSEVIER MPI vs Fortran coarrays beyond 100k cores: 3D cellular automata 2019 chemistry, biology and toxicology as related to environmental problems Amsterdam [u.a.] (DE-627)ELV002112701 volume:254 year:2020 pages:0 https://doi.org/10.1016/j.chemosphere.2020.126815 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 54.25 Parallele Datenverarbeitung VZ AR 254 2020 0 |
| allfields_unstemmed |
10.1016/j.chemosphere.2020.126815 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001209.pica (DE-627)ELV05048172X (ELSEVIER)S0045-6535(20)31008-0 DE-627 ger DE-627 rakwb eng 004 620 VZ 54.25 bkl Xu, Yong verfasserin aut Contribution of biogenic sources to secondary organic aerosol in the summertime in Shaanxi, China 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A revised Community Multi-scale Air Quality (CMAQ) model with updated secondary organic aerosol (SOA) yields and a more detailed description of SOA formation from isoprene (ISOP) oxidation was applied to study the spatial distribution of SOA, its components and precursors in Shaanxi in July of 2013. The emissions of biogenic volatile organic compounds (BVOCs) were generated using the Model of Emissions of Gases and Aerosols from Nature (MEGAN), of which ISOP and monoterpene (MONO) were the top two, with 1.73 × 109 mol and 1.82 × 108 mol, respectively. The spatial distribution of BVOCs emission was significantly correlated with the vegetation coverage distribution. ISOP and its intermediate semi-volatile gases were up to ∼7.0 and ∼1.4 ppb respectively in the ambient. SOA was generally 2–6 μg/m3, of which biogenic SOA (BSOA) accounted for as high as 84% on average. There were three main BVOCs Precursors including ISOP (58%) and MONO (8%) emit in the studied domain, and ISOP (9%) transported. The Guanzhong Plain had the highest BSOA concentrations of 3–5 μg/m3, and the North Shaanxi had the lowest of 2–3 μg/m3. More than half of BSOA was due to reactive surface uptake of ISOP epoxide (0.2–0.7 μg/m3, ∼19%), glyoxal (GLY) (0.2–0.5 μg/m3, ∼11%) and methylglyoxal (MGLY) (0.4–1.4 μg/m3, ∼32%), while the remaining was due to the traditional equilibrium partitioning of semi-volatile components (0.1–1.2 μg/m3, ∼25%) and oligomerization (0.2–0.4 μg/m3, ∼12%). Overall, SOA formed from ISOP contributed 1–3 μg/m3 (∼80%) to BSOA. A revised Community Multi-scale Air Quality (CMAQ) model with updated secondary organic aerosol (SOA) yields and a more detailed description of SOA formation from isoprene (ISOP) oxidation was applied to study the spatial distribution of SOA, its components and precursors in Shaanxi in July of 2013. The emissions of biogenic volatile organic compounds (BVOCs) were generated using the Model of Emissions of Gases and Aerosols from Nature (MEGAN), of which ISOP and monoterpene (MONO) were the top two, with 1.73 × 109 mol and 1.82 × 108 mol, respectively. The spatial distribution of BVOCs emission was significantly correlated with the vegetation coverage distribution. ISOP and its intermediate semi-volatile gases were up to ∼7.0 and ∼1.4 ppb respectively in the ambient. SOA was generally 2–6 μg/m3, of which biogenic SOA (BSOA) accounted for as high as 84% on average. There were three main BVOCs Precursors including ISOP (58%) and MONO (8%) emit in the studied domain, and ISOP (9%) transported. The Guanzhong Plain had the highest BSOA concentrations of 3–5 μg/m3, and the North Shaanxi had the lowest of 2–3 μg/m3. More than half of BSOA was due to reactive surface uptake of ISOP epoxide (0.2–0.7 μg/m3, ∼19%), glyoxal (GLY) (0.2–0.5 μg/m3, ∼11%) and methylglyoxal (MGLY) (0.4–1.4 μg/m3, ∼32%), while the remaining was due to the traditional equilibrium partitioning of semi-volatile components (0.1–1.2 μg/m3, ∼25%) and oligomerization (0.2–0.4 μg/m3, ∼12%). Overall, SOA formed from ISOP contributed 1–3 μg/m3 (∼80%) to BSOA. MEGAN Elsevier CMAQ Elsevier Precursors Elsevier BSOA Elsevier Isoprene Elsevier Chen, Yonggui oth Gao, Jingsi oth Zhu, Shengqiang oth Ying, Qi oth Hu, Jianlin oth Wang, Peng oth Feng, Liguo oth Kang, Haibin oth Wang, Dexiang oth Enthalten in Elsevier Science Shterenlikht, Anton ELSEVIER MPI vs Fortran coarrays beyond 100k cores: 3D cellular automata 2019 chemistry, biology and toxicology as related to environmental problems Amsterdam [u.a.] (DE-627)ELV002112701 volume:254 year:2020 pages:0 https://doi.org/10.1016/j.chemosphere.2020.126815 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 54.25 Parallele Datenverarbeitung VZ AR 254 2020 0 |
| allfieldsGer |
10.1016/j.chemosphere.2020.126815 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001209.pica (DE-627)ELV05048172X (ELSEVIER)S0045-6535(20)31008-0 DE-627 ger DE-627 rakwb eng 004 620 VZ 54.25 bkl Xu, Yong verfasserin aut Contribution of biogenic sources to secondary organic aerosol in the summertime in Shaanxi, China 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A revised Community Multi-scale Air Quality (CMAQ) model with updated secondary organic aerosol (SOA) yields and a more detailed description of SOA formation from isoprene (ISOP) oxidation was applied to study the spatial distribution of SOA, its components and precursors in Shaanxi in July of 2013. The emissions of biogenic volatile organic compounds (BVOCs) were generated using the Model of Emissions of Gases and Aerosols from Nature (MEGAN), of which ISOP and monoterpene (MONO) were the top two, with 1.73 × 109 mol and 1.82 × 108 mol, respectively. The spatial distribution of BVOCs emission was significantly correlated with the vegetation coverage distribution. ISOP and its intermediate semi-volatile gases were up to ∼7.0 and ∼1.4 ppb respectively in the ambient. SOA was generally 2–6 μg/m3, of which biogenic SOA (BSOA) accounted for as high as 84% on average. There were three main BVOCs Precursors including ISOP (58%) and MONO (8%) emit in the studied domain, and ISOP (9%) transported. The Guanzhong Plain had the highest BSOA concentrations of 3–5 μg/m3, and the North Shaanxi had the lowest of 2–3 μg/m3. More than half of BSOA was due to reactive surface uptake of ISOP epoxide (0.2–0.7 μg/m3, ∼19%), glyoxal (GLY) (0.2–0.5 μg/m3, ∼11%) and methylglyoxal (MGLY) (0.4–1.4 μg/m3, ∼32%), while the remaining was due to the traditional equilibrium partitioning of semi-volatile components (0.1–1.2 μg/m3, ∼25%) and oligomerization (0.2–0.4 μg/m3, ∼12%). Overall, SOA formed from ISOP contributed 1–3 μg/m3 (∼80%) to BSOA. A revised Community Multi-scale Air Quality (CMAQ) model with updated secondary organic aerosol (SOA) yields and a more detailed description of SOA formation from isoprene (ISOP) oxidation was applied to study the spatial distribution of SOA, its components and precursors in Shaanxi in July of 2013. The emissions of biogenic volatile organic compounds (BVOCs) were generated using the Model of Emissions of Gases and Aerosols from Nature (MEGAN), of which ISOP and monoterpene (MONO) were the top two, with 1.73 × 109 mol and 1.82 × 108 mol, respectively. The spatial distribution of BVOCs emission was significantly correlated with the vegetation coverage distribution. ISOP and its intermediate semi-volatile gases were up to ∼7.0 and ∼1.4 ppb respectively in the ambient. SOA was generally 2–6 μg/m3, of which biogenic SOA (BSOA) accounted for as high as 84% on average. There were three main BVOCs Precursors including ISOP (58%) and MONO (8%) emit in the studied domain, and ISOP (9%) transported. The Guanzhong Plain had the highest BSOA concentrations of 3–5 μg/m3, and the North Shaanxi had the lowest of 2–3 μg/m3. More than half of BSOA was due to reactive surface uptake of ISOP epoxide (0.2–0.7 μg/m3, ∼19%), glyoxal (GLY) (0.2–0.5 μg/m3, ∼11%) and methylglyoxal (MGLY) (0.4–1.4 μg/m3, ∼32%), while the remaining was due to the traditional equilibrium partitioning of semi-volatile components (0.1–1.2 μg/m3, ∼25%) and oligomerization (0.2–0.4 μg/m3, ∼12%). Overall, SOA formed from ISOP contributed 1–3 μg/m3 (∼80%) to BSOA. MEGAN Elsevier CMAQ Elsevier Precursors Elsevier BSOA Elsevier Isoprene Elsevier Chen, Yonggui oth Gao, Jingsi oth Zhu, Shengqiang oth Ying, Qi oth Hu, Jianlin oth Wang, Peng oth Feng, Liguo oth Kang, Haibin oth Wang, Dexiang oth Enthalten in Elsevier Science Shterenlikht, Anton ELSEVIER MPI vs Fortran coarrays beyond 100k cores: 3D cellular automata 2019 chemistry, biology and toxicology as related to environmental problems Amsterdam [u.a.] (DE-627)ELV002112701 volume:254 year:2020 pages:0 https://doi.org/10.1016/j.chemosphere.2020.126815 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 54.25 Parallele Datenverarbeitung VZ AR 254 2020 0 |
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Contribution of biogenic sources to secondary organic aerosol in the summertime in Shaanxi, China |
| abstract |
A revised Community Multi-scale Air Quality (CMAQ) model with updated secondary organic aerosol (SOA) yields and a more detailed description of SOA formation from isoprene (ISOP) oxidation was applied to study the spatial distribution of SOA, its components and precursors in Shaanxi in July of 2013. The emissions of biogenic volatile organic compounds (BVOCs) were generated using the Model of Emissions of Gases and Aerosols from Nature (MEGAN), of which ISOP and monoterpene (MONO) were the top two, with 1.73 × 109 mol and 1.82 × 108 mol, respectively. The spatial distribution of BVOCs emission was significantly correlated with the vegetation coverage distribution. ISOP and its intermediate semi-volatile gases were up to ∼7.0 and ∼1.4 ppb respectively in the ambient. SOA was generally 2–6 μg/m3, of which biogenic SOA (BSOA) accounted for as high as 84% on average. There were three main BVOCs Precursors including ISOP (58%) and MONO (8%) emit in the studied domain, and ISOP (9%) transported. The Guanzhong Plain had the highest BSOA concentrations of 3–5 μg/m3, and the North Shaanxi had the lowest of 2–3 μg/m3. More than half of BSOA was due to reactive surface uptake of ISOP epoxide (0.2–0.7 μg/m3, ∼19%), glyoxal (GLY) (0.2–0.5 μg/m3, ∼11%) and methylglyoxal (MGLY) (0.4–1.4 μg/m3, ∼32%), while the remaining was due to the traditional equilibrium partitioning of semi-volatile components (0.1–1.2 μg/m3, ∼25%) and oligomerization (0.2–0.4 μg/m3, ∼12%). Overall, SOA formed from ISOP contributed 1–3 μg/m3 (∼80%) to BSOA. |
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A revised Community Multi-scale Air Quality (CMAQ) model with updated secondary organic aerosol (SOA) yields and a more detailed description of SOA formation from isoprene (ISOP) oxidation was applied to study the spatial distribution of SOA, its components and precursors in Shaanxi in July of 2013. The emissions of biogenic volatile organic compounds (BVOCs) were generated using the Model of Emissions of Gases and Aerosols from Nature (MEGAN), of which ISOP and monoterpene (MONO) were the top two, with 1.73 × 109 mol and 1.82 × 108 mol, respectively. The spatial distribution of BVOCs emission was significantly correlated with the vegetation coverage distribution. ISOP and its intermediate semi-volatile gases were up to ∼7.0 and ∼1.4 ppb respectively in the ambient. SOA was generally 2–6 μg/m3, of which biogenic SOA (BSOA) accounted for as high as 84% on average. There were three main BVOCs Precursors including ISOP (58%) and MONO (8%) emit in the studied domain, and ISOP (9%) transported. The Guanzhong Plain had the highest BSOA concentrations of 3–5 μg/m3, and the North Shaanxi had the lowest of 2–3 μg/m3. More than half of BSOA was due to reactive surface uptake of ISOP epoxide (0.2–0.7 μg/m3, ∼19%), glyoxal (GLY) (0.2–0.5 μg/m3, ∼11%) and methylglyoxal (MGLY) (0.4–1.4 μg/m3, ∼32%), while the remaining was due to the traditional equilibrium partitioning of semi-volatile components (0.1–1.2 μg/m3, ∼25%) and oligomerization (0.2–0.4 μg/m3, ∼12%). Overall, SOA formed from ISOP contributed 1–3 μg/m3 (∼80%) to BSOA. |
| abstract_unstemmed |
A revised Community Multi-scale Air Quality (CMAQ) model with updated secondary organic aerosol (SOA) yields and a more detailed description of SOA formation from isoprene (ISOP) oxidation was applied to study the spatial distribution of SOA, its components and precursors in Shaanxi in July of 2013. The emissions of biogenic volatile organic compounds (BVOCs) were generated using the Model of Emissions of Gases and Aerosols from Nature (MEGAN), of which ISOP and monoterpene (MONO) were the top two, with 1.73 × 109 mol and 1.82 × 108 mol, respectively. The spatial distribution of BVOCs emission was significantly correlated with the vegetation coverage distribution. ISOP and its intermediate semi-volatile gases were up to ∼7.0 and ∼1.4 ppb respectively in the ambient. SOA was generally 2–6 μg/m3, of which biogenic SOA (BSOA) accounted for as high as 84% on average. There were three main BVOCs Precursors including ISOP (58%) and MONO (8%) emit in the studied domain, and ISOP (9%) transported. The Guanzhong Plain had the highest BSOA concentrations of 3–5 μg/m3, and the North Shaanxi had the lowest of 2–3 μg/m3. More than half of BSOA was due to reactive surface uptake of ISOP epoxide (0.2–0.7 μg/m3, ∼19%), glyoxal (GLY) (0.2–0.5 μg/m3, ∼11%) and methylglyoxal (MGLY) (0.4–1.4 μg/m3, ∼32%), while the remaining was due to the traditional equilibrium partitioning of semi-volatile components (0.1–1.2 μg/m3, ∼25%) and oligomerization (0.2–0.4 μg/m3, ∼12%). Overall, SOA formed from ISOP contributed 1–3 μg/m3 (∼80%) to BSOA. |
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GBV_USEFLAG_U GBV_ELV SYSFLAG_U |
| title_short |
Contribution of biogenic sources to secondary organic aerosol in the summertime in Shaanxi, China |
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https://doi.org/10.1016/j.chemosphere.2020.126815 |
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| author2 |
Chen, Yonggui Gao, Jingsi Zhu, Shengqiang Ying, Qi Hu, Jianlin Wang, Peng Feng, Liguo Kang, Haibin Wang, Dexiang |
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Chen, Yonggui Gao, Jingsi Zhu, Shengqiang Ying, Qi Hu, Jianlin Wang, Peng Feng, Liguo Kang, Haibin Wang, Dexiang |
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10.1016/j.chemosphere.2020.126815 |
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2024-07-06T17:39:27.322Z |
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