A new method of quantifying aerosol concentrations in atmosphere
Abstract Africa is one of the sources of biomass burning emissions. It is estimated that about 6 million tons of fuel per day is consumed in the southern hemisphere. Biomass burning has an important contribution on aerosol particle concentrations in the atmosphere. Efforts have been made to conduct...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Madhava Rao, K. S. [verfasserIn] Verma, T. S. [verfasserIn] Chimidza, S. [verfasserIn] John, Shibu K. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2013 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Meteorology and atmospheric physics - Wien [u.a.] : Springer, 1948, 124(2013), 1-2 vom: 14. Dez., Seite 83-96 |
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| Übergeordnetes Werk: |
volume:124 ; year:2013 ; number:1-2 ; day:14 ; month:12 ; pages:83-96 |
| Links: |
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| DOI / URN: |
10.1007/s00703-013-0304-2 |
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| Katalog-ID: |
SPR007311567 |
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| 245 | 1 | 2 | |a A new method of quantifying aerosol concentrations in atmosphere |
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| 520 | |a Abstract Africa is one of the sources of biomass burning emissions. It is estimated that about 6 million tons of fuel per day is consumed in the southern hemisphere. Biomass burning has an important contribution on aerosol particle concentrations in the atmosphere. Efforts have been made to conduct research in Gaborone to monitor the concentration of atmospheric aerosol particles. These studies were mainly confined to measurement of concentration of aerosol particles and establishing a relation with determinants such as carbon dioxide concentration, biomass burning, and precipitation among others. However, very little seems to have been done in relating the empirical data to levels of aerosol concentrations through a mathematical model. In this paper an objective criterion of classifying levels of aerosol concentrations in terms of their severity is provided. A mathematical model for severity levels is built. Furthermore, two indices, namely, an index of dispersion when applied to the observed annual data indicated that intensity of atmospheric aerosol are on increase in the city of Gaborone, Botswana, and an index of drift which establishes that aerosol severity states showed larger drift during the year 2006–2007 than in the year 2007–2008. | ||
| 650 | 4 | |a Aerosol Particle |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Biomass Burning |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Severity State |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Atmospheric Aerosol |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Classification Rule |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Verma, T. S. |e verfasserin |4 aut | |
| 700 | 1 | |a Chimidza, S. |e verfasserin |4 aut | |
| 700 | 1 | |a John, Shibu K. |e verfasserin |4 aut | |
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10.1007/s00703-013-0304-2 doi (DE-627)SPR007311567 (SPR)s00703-013-0304-2-e DE-627 ger DE-627 rakwb eng 550 ASE 38.80 bkl Madhava Rao, K. S. verfasserin aut A new method of quantifying aerosol concentrations in atmosphere 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Africa is one of the sources of biomass burning emissions. It is estimated that about 6 million tons of fuel per day is consumed in the southern hemisphere. Biomass burning has an important contribution on aerosol particle concentrations in the atmosphere. Efforts have been made to conduct research in Gaborone to monitor the concentration of atmospheric aerosol particles. These studies were mainly confined to measurement of concentration of aerosol particles and establishing a relation with determinants such as carbon dioxide concentration, biomass burning, and precipitation among others. However, very little seems to have been done in relating the empirical data to levels of aerosol concentrations through a mathematical model. In this paper an objective criterion of classifying levels of aerosol concentrations in terms of their severity is provided. A mathematical model for severity levels is built. Furthermore, two indices, namely, an index of dispersion when applied to the observed annual data indicated that intensity of atmospheric aerosol are on increase in the city of Gaborone, Botswana, and an index of drift which establishes that aerosol severity states showed larger drift during the year 2006–2007 than in the year 2007–2008. Aerosol Particle (dpeaa)DE-He213 Biomass Burning (dpeaa)DE-He213 Severity State (dpeaa)DE-He213 Atmospheric Aerosol (dpeaa)DE-He213 Classification Rule (dpeaa)DE-He213 Verma, T. S. verfasserin aut Chimidza, S. verfasserin aut John, Shibu K. verfasserin aut Enthalten in Meteorology and atmospheric physics Wien [u.a.] : Springer, 1948 124(2013), 1-2 vom: 14. Dez., Seite 83-96 (DE-627)25463091X (DE-600)1462145-9 1436-5065 nnns volume:124 year:2013 number:1-2 day:14 month:12 pages:83-96 https://dx.doi.org/10.1007/s00703-013-0304-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.80 ASE AR 124 2013 1-2 14 12 83-96 |
| spelling |
10.1007/s00703-013-0304-2 doi (DE-627)SPR007311567 (SPR)s00703-013-0304-2-e DE-627 ger DE-627 rakwb eng 550 ASE 38.80 bkl Madhava Rao, K. S. verfasserin aut A new method of quantifying aerosol concentrations in atmosphere 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Africa is one of the sources of biomass burning emissions. It is estimated that about 6 million tons of fuel per day is consumed in the southern hemisphere. Biomass burning has an important contribution on aerosol particle concentrations in the atmosphere. Efforts have been made to conduct research in Gaborone to monitor the concentration of atmospheric aerosol particles. These studies were mainly confined to measurement of concentration of aerosol particles and establishing a relation with determinants such as carbon dioxide concentration, biomass burning, and precipitation among others. However, very little seems to have been done in relating the empirical data to levels of aerosol concentrations through a mathematical model. In this paper an objective criterion of classifying levels of aerosol concentrations in terms of their severity is provided. A mathematical model for severity levels is built. Furthermore, two indices, namely, an index of dispersion when applied to the observed annual data indicated that intensity of atmospheric aerosol are on increase in the city of Gaborone, Botswana, and an index of drift which establishes that aerosol severity states showed larger drift during the year 2006–2007 than in the year 2007–2008. Aerosol Particle (dpeaa)DE-He213 Biomass Burning (dpeaa)DE-He213 Severity State (dpeaa)DE-He213 Atmospheric Aerosol (dpeaa)DE-He213 Classification Rule (dpeaa)DE-He213 Verma, T. S. verfasserin aut Chimidza, S. verfasserin aut John, Shibu K. verfasserin aut Enthalten in Meteorology and atmospheric physics Wien [u.a.] : Springer, 1948 124(2013), 1-2 vom: 14. Dez., Seite 83-96 (DE-627)25463091X (DE-600)1462145-9 1436-5065 nnns volume:124 year:2013 number:1-2 day:14 month:12 pages:83-96 https://dx.doi.org/10.1007/s00703-013-0304-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.80 ASE AR 124 2013 1-2 14 12 83-96 |
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10.1007/s00703-013-0304-2 doi (DE-627)SPR007311567 (SPR)s00703-013-0304-2-e DE-627 ger DE-627 rakwb eng 550 ASE 38.80 bkl Madhava Rao, K. S. verfasserin aut A new method of quantifying aerosol concentrations in atmosphere 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Africa is one of the sources of biomass burning emissions. It is estimated that about 6 million tons of fuel per day is consumed in the southern hemisphere. Biomass burning has an important contribution on aerosol particle concentrations in the atmosphere. Efforts have been made to conduct research in Gaborone to monitor the concentration of atmospheric aerosol particles. These studies were mainly confined to measurement of concentration of aerosol particles and establishing a relation with determinants such as carbon dioxide concentration, biomass burning, and precipitation among others. However, very little seems to have been done in relating the empirical data to levels of aerosol concentrations through a mathematical model. In this paper an objective criterion of classifying levels of aerosol concentrations in terms of their severity is provided. A mathematical model for severity levels is built. Furthermore, two indices, namely, an index of dispersion when applied to the observed annual data indicated that intensity of atmospheric aerosol are on increase in the city of Gaborone, Botswana, and an index of drift which establishes that aerosol severity states showed larger drift during the year 2006–2007 than in the year 2007–2008. Aerosol Particle (dpeaa)DE-He213 Biomass Burning (dpeaa)DE-He213 Severity State (dpeaa)DE-He213 Atmospheric Aerosol (dpeaa)DE-He213 Classification Rule (dpeaa)DE-He213 Verma, T. S. verfasserin aut Chimidza, S. verfasserin aut John, Shibu K. verfasserin aut Enthalten in Meteorology and atmospheric physics Wien [u.a.] : Springer, 1948 124(2013), 1-2 vom: 14. Dez., Seite 83-96 (DE-627)25463091X (DE-600)1462145-9 1436-5065 nnns volume:124 year:2013 number:1-2 day:14 month:12 pages:83-96 https://dx.doi.org/10.1007/s00703-013-0304-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.80 ASE AR 124 2013 1-2 14 12 83-96 |
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10.1007/s00703-013-0304-2 doi (DE-627)SPR007311567 (SPR)s00703-013-0304-2-e DE-627 ger DE-627 rakwb eng 550 ASE 38.80 bkl Madhava Rao, K. S. verfasserin aut A new method of quantifying aerosol concentrations in atmosphere 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Africa is one of the sources of biomass burning emissions. It is estimated that about 6 million tons of fuel per day is consumed in the southern hemisphere. Biomass burning has an important contribution on aerosol particle concentrations in the atmosphere. Efforts have been made to conduct research in Gaborone to monitor the concentration of atmospheric aerosol particles. These studies were mainly confined to measurement of concentration of aerosol particles and establishing a relation with determinants such as carbon dioxide concentration, biomass burning, and precipitation among others. However, very little seems to have been done in relating the empirical data to levels of aerosol concentrations through a mathematical model. In this paper an objective criterion of classifying levels of aerosol concentrations in terms of their severity is provided. A mathematical model for severity levels is built. Furthermore, two indices, namely, an index of dispersion when applied to the observed annual data indicated that intensity of atmospheric aerosol are on increase in the city of Gaborone, Botswana, and an index of drift which establishes that aerosol severity states showed larger drift during the year 2006–2007 than in the year 2007–2008. Aerosol Particle (dpeaa)DE-He213 Biomass Burning (dpeaa)DE-He213 Severity State (dpeaa)DE-He213 Atmospheric Aerosol (dpeaa)DE-He213 Classification Rule (dpeaa)DE-He213 Verma, T. S. verfasserin aut Chimidza, S. verfasserin aut John, Shibu K. verfasserin aut Enthalten in Meteorology and atmospheric physics Wien [u.a.] : Springer, 1948 124(2013), 1-2 vom: 14. Dez., Seite 83-96 (DE-627)25463091X (DE-600)1462145-9 1436-5065 nnns volume:124 year:2013 number:1-2 day:14 month:12 pages:83-96 https://dx.doi.org/10.1007/s00703-013-0304-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.80 ASE AR 124 2013 1-2 14 12 83-96 |
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10.1007/s00703-013-0304-2 doi (DE-627)SPR007311567 (SPR)s00703-013-0304-2-e DE-627 ger DE-627 rakwb eng 550 ASE 38.80 bkl Madhava Rao, K. S. verfasserin aut A new method of quantifying aerosol concentrations in atmosphere 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Africa is one of the sources of biomass burning emissions. It is estimated that about 6 million tons of fuel per day is consumed in the southern hemisphere. Biomass burning has an important contribution on aerosol particle concentrations in the atmosphere. Efforts have been made to conduct research in Gaborone to monitor the concentration of atmospheric aerosol particles. These studies were mainly confined to measurement of concentration of aerosol particles and establishing a relation with determinants such as carbon dioxide concentration, biomass burning, and precipitation among others. However, very little seems to have been done in relating the empirical data to levels of aerosol concentrations through a mathematical model. In this paper an objective criterion of classifying levels of aerosol concentrations in terms of their severity is provided. A mathematical model for severity levels is built. Furthermore, two indices, namely, an index of dispersion when applied to the observed annual data indicated that intensity of atmospheric aerosol are on increase in the city of Gaborone, Botswana, and an index of drift which establishes that aerosol severity states showed larger drift during the year 2006–2007 than in the year 2007–2008. Aerosol Particle (dpeaa)DE-He213 Biomass Burning (dpeaa)DE-He213 Severity State (dpeaa)DE-He213 Atmospheric Aerosol (dpeaa)DE-He213 Classification Rule (dpeaa)DE-He213 Verma, T. S. verfasserin aut Chimidza, S. verfasserin aut John, Shibu K. verfasserin aut Enthalten in Meteorology and atmospheric physics Wien [u.a.] : Springer, 1948 124(2013), 1-2 vom: 14. Dez., Seite 83-96 (DE-627)25463091X (DE-600)1462145-9 1436-5065 nnns volume:124 year:2013 number:1-2 day:14 month:12 pages:83-96 https://dx.doi.org/10.1007/s00703-013-0304-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.80 ASE AR 124 2013 1-2 14 12 83-96 |
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Enthalten in Meteorology and atmospheric physics 124(2013), 1-2 vom: 14. Dez., Seite 83-96 volume:124 year:2013 number:1-2 day:14 month:12 pages:83-96 |
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Aerosol Particle Biomass Burning Severity State Atmospheric Aerosol Classification Rule |
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Madhava Rao, K. S. @@aut@@ Verma, T. S. @@aut@@ Chimidza, S. @@aut@@ John, Shibu K. @@aut@@ |
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Madhava Rao, K. S. |
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Madhava Rao, K. S. ddc 550 bkl 38.80 misc Aerosol Particle misc Biomass Burning misc Severity State misc Atmospheric Aerosol misc Classification Rule A new method of quantifying aerosol concentrations in atmosphere |
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550 ASE 38.80 bkl A new method of quantifying aerosol concentrations in atmosphere Aerosol Particle (dpeaa)DE-He213 Biomass Burning (dpeaa)DE-He213 Severity State (dpeaa)DE-He213 Atmospheric Aerosol (dpeaa)DE-He213 Classification Rule (dpeaa)DE-He213 |
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ddc 550 bkl 38.80 misc Aerosol Particle misc Biomass Burning misc Severity State misc Atmospheric Aerosol misc Classification Rule |
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ddc 550 bkl 38.80 misc Aerosol Particle misc Biomass Burning misc Severity State misc Atmospheric Aerosol misc Classification Rule |
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A new method of quantifying aerosol concentrations in atmosphere |
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Madhava Rao, K. S. |
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new method of quantifying aerosol concentrations in atmosphere |
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A new method of quantifying aerosol concentrations in atmosphere |
| abstract |
Abstract Africa is one of the sources of biomass burning emissions. It is estimated that about 6 million tons of fuel per day is consumed in the southern hemisphere. Biomass burning has an important contribution on aerosol particle concentrations in the atmosphere. Efforts have been made to conduct research in Gaborone to monitor the concentration of atmospheric aerosol particles. These studies were mainly confined to measurement of concentration of aerosol particles and establishing a relation with determinants such as carbon dioxide concentration, biomass burning, and precipitation among others. However, very little seems to have been done in relating the empirical data to levels of aerosol concentrations through a mathematical model. In this paper an objective criterion of classifying levels of aerosol concentrations in terms of their severity is provided. A mathematical model for severity levels is built. Furthermore, two indices, namely, an index of dispersion when applied to the observed annual data indicated that intensity of atmospheric aerosol are on increase in the city of Gaborone, Botswana, and an index of drift which establishes that aerosol severity states showed larger drift during the year 2006–2007 than in the year 2007–2008. |
| abstractGer |
Abstract Africa is one of the sources of biomass burning emissions. It is estimated that about 6 million tons of fuel per day is consumed in the southern hemisphere. Biomass burning has an important contribution on aerosol particle concentrations in the atmosphere. Efforts have been made to conduct research in Gaborone to monitor the concentration of atmospheric aerosol particles. These studies were mainly confined to measurement of concentration of aerosol particles and establishing a relation with determinants such as carbon dioxide concentration, biomass burning, and precipitation among others. However, very little seems to have been done in relating the empirical data to levels of aerosol concentrations through a mathematical model. In this paper an objective criterion of classifying levels of aerosol concentrations in terms of their severity is provided. A mathematical model for severity levels is built. Furthermore, two indices, namely, an index of dispersion when applied to the observed annual data indicated that intensity of atmospheric aerosol are on increase in the city of Gaborone, Botswana, and an index of drift which establishes that aerosol severity states showed larger drift during the year 2006–2007 than in the year 2007–2008. |
| abstract_unstemmed |
Abstract Africa is one of the sources of biomass burning emissions. It is estimated that about 6 million tons of fuel per day is consumed in the southern hemisphere. Biomass burning has an important contribution on aerosol particle concentrations in the atmosphere. Efforts have been made to conduct research in Gaborone to monitor the concentration of atmospheric aerosol particles. These studies were mainly confined to measurement of concentration of aerosol particles and establishing a relation with determinants such as carbon dioxide concentration, biomass burning, and precipitation among others. However, very little seems to have been done in relating the empirical data to levels of aerosol concentrations through a mathematical model. In this paper an objective criterion of classifying levels of aerosol concentrations in terms of their severity is provided. A mathematical model for severity levels is built. Furthermore, two indices, namely, an index of dispersion when applied to the observed annual data indicated that intensity of atmospheric aerosol are on increase in the city of Gaborone, Botswana, and an index of drift which establishes that aerosol severity states showed larger drift during the year 2006–2007 than in the year 2007–2008. |
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| title_short |
A new method of quantifying aerosol concentrations in atmosphere |
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https://dx.doi.org/10.1007/s00703-013-0304-2 |
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Verma, T. S. Chimidza, S. John, Shibu K. |
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Verma, T. S. Chimidza, S. John, Shibu K. |
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| doi_str |
10.1007/s00703-013-0304-2 |
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2024-07-04T02:47:08.036Z |
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| score |
7.400977 |