The Characterization of Haze and Dust Processes Using MAX-DOAS in Beijing, China
Haze and dust pollution have a significant impact on human production, life, and health. In order to understand the pollution process, the study of these two pollution characteristics is important. In this study, a one-year observation was carried out at the Beijing Southern Suburb Observatory using...
Ausführliche Beschreibung
Autor*in: |
Hongmei Ren [verfasserIn] Ang Li [verfasserIn] Pinhua Xie [verfasserIn] Zhaokun Hu [verfasserIn] Jin Xu [verfasserIn] Yeyuan Huang [verfasserIn] Xiaomei Li [verfasserIn] Hongyan Zhong [verfasserIn] Hairong Zhang [verfasserIn] Xin Tian [verfasserIn] Bo Ren [verfasserIn] Shuai Wang [verfasserIn] Wenxuan Chai [verfasserIn] Chuanyao Du [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2021 |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
In: Remote Sensing - MDPI AG, 2009, 13(2021), 24, p 5133 |
---|---|
Übergeordnetes Werk: |
volume:13 ; year:2021 ; number:24, p 5133 |
Links: |
---|
DOI / URN: |
10.3390/rs13245133 |
---|
Katalog-ID: |
DOAJ019245335 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | DOAJ019245335 | ||
003 | DE-627 | ||
005 | 20240414222539.0 | ||
007 | cr uuu---uuuuu | ||
008 | 230226s2021 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.3390/rs13245133 |2 doi | |
035 | |a (DE-627)DOAJ019245335 | ||
035 | |a (DE-599)DOAJ9fcbc15631374f379db137d8a8c5f0f7 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 0 | |a Hongmei Ren |e verfasserin |4 aut | |
245 | 1 | 4 | |a The Characterization of Haze and Dust Processes Using MAX-DOAS in Beijing, China |
264 | 1 | |c 2021 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a Haze and dust pollution have a significant impact on human production, life, and health. In order to understand the pollution process, the study of these two pollution characteristics is important. In this study, a one-year observation was carried out at the Beijing Southern Suburb Observatory using the MAX-DOAS instrument, and the pollution characteristics of the typical haze and dust events were analyzed. First, the distribution of aerosol extinction (AE) and H<sub<2</sub<O concentrations in the two typical pollution events were studied. The results showed that the correlation coefficient (<i<r</i<) between H<sub<2</sub<O and AE at different heights decreased during dust processes and the correlation slope (|k|) increased, whereas <i<r</i< increased and |k| decreased during haze periods. The correlation slope increased during the dust episode due to low moisture content and increased O<sub<4</sub< absorption caused by abundant suspended dry crustal particles, but decreased during the haze episode due to a significant increase of H<sub<2</sub<O absorption. Secondly, the gas vertical column density (VCD) indicated that aerosol optical depth (AOD) increased during dust pollution events in the afternoon, while the H<sub<2</sub<O VCD decreased; in haze pollution processes, both H<sub<2</sub<O VCD and AOD increased. There were significant differences in meteorological conditions during haze (wind speed (WD) was <2 m/s, and relative humidity (RH) was <60%) and dust pollution (WD was <4 m/s, and RH was <60%). Next, the vertical distribution characteristics of gases during the pollution periods were studied. The AE profile showed that haze pollution lasted for a long time and changed slowly, whereas the opposite was true for dust pollution. The pollutants (aerosols, NO<sub<2</sub<, SO<sub<2</sub<, and HCHO) and H<sub<2</sub<O were concentrated below 1 km during both these typical pollution processes, and haze pollution was associated with a strong temperature inversion around 1.0 km. Lastly, the water vapor transport fluxes showed that the water vapor transport from the eastern air mass had an auxiliary effect on haze pollution at the observation location. Our results are of significance for exploring the pollution process of tropospheric trace gases and the transport of water vapor in Beijing, and provide a basis for satellite and model verification. | ||
650 | 4 | |a MAX-DOAS | |
650 | 4 | |a haze pollution | |
650 | 4 | |a dust pollution | |
653 | 0 | |a Science | |
653 | 0 | |a Q | |
700 | 0 | |a Ang Li |e verfasserin |4 aut | |
700 | 0 | |a Pinhua Xie |e verfasserin |4 aut | |
700 | 0 | |a Zhaokun Hu |e verfasserin |4 aut | |
700 | 0 | |a Jin Xu |e verfasserin |4 aut | |
700 | 0 | |a Yeyuan Huang |e verfasserin |4 aut | |
700 | 0 | |a Xiaomei Li |e verfasserin |4 aut | |
700 | 0 | |a Hongyan Zhong |e verfasserin |4 aut | |
700 | 0 | |a Hairong Zhang |e verfasserin |4 aut | |
700 | 0 | |a Xin Tian |e verfasserin |4 aut | |
700 | 0 | |a Bo Ren |e verfasserin |4 aut | |
700 | 0 | |a Shuai Wang |e verfasserin |4 aut | |
700 | 0 | |a Wenxuan Chai |e verfasserin |4 aut | |
700 | 0 | |a Chuanyao Du |e verfasserin |4 aut | |
773 | 0 | 8 | |i In |t Remote Sensing |d MDPI AG, 2009 |g 13(2021), 24, p 5133 |w (DE-627)608937916 |w (DE-600)2513863-7 |x 20724292 |7 nnns |
773 | 1 | 8 | |g volume:13 |g year:2021 |g number:24, p 5133 |
856 | 4 | 0 | |u https://doi.org/10.3390/rs13245133 |z kostenfrei |
856 | 4 | 0 | |u https://doaj.org/article/9fcbc15631374f379db137d8a8c5f0f7 |z kostenfrei |
856 | 4 | 0 | |u https://www.mdpi.com/2072-4292/13/24/5133 |z kostenfrei |
856 | 4 | 2 | |u https://doaj.org/toc/2072-4292 |y Journal toc |z kostenfrei |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_DOAJ | ||
912 | |a GBV_ILN_20 | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_23 | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_39 | ||
912 | |a GBV_ILN_40 | ||
912 | |a GBV_ILN_60 | ||
912 | |a GBV_ILN_62 | ||
912 | |a GBV_ILN_63 | ||
912 | |a GBV_ILN_65 | ||
912 | |a GBV_ILN_69 | ||
912 | |a GBV_ILN_70 | ||
912 | |a GBV_ILN_73 | ||
912 | |a GBV_ILN_95 | ||
912 | |a GBV_ILN_105 | ||
912 | |a GBV_ILN_110 | ||
912 | |a GBV_ILN_151 | ||
912 | |a GBV_ILN_161 | ||
912 | |a GBV_ILN_170 | ||
912 | |a GBV_ILN_206 | ||
912 | |a GBV_ILN_213 | ||
912 | |a GBV_ILN_230 | ||
912 | |a GBV_ILN_285 | ||
912 | |a GBV_ILN_293 | ||
912 | |a GBV_ILN_370 | ||
912 | |a GBV_ILN_602 | ||
912 | |a GBV_ILN_2005 | ||
912 | |a GBV_ILN_2009 | ||
912 | |a GBV_ILN_2011 | ||
912 | |a GBV_ILN_2014 | ||
912 | |a GBV_ILN_2055 | ||
912 | |a GBV_ILN_2108 | ||
912 | |a GBV_ILN_2111 | ||
912 | |a GBV_ILN_2119 | ||
912 | |a GBV_ILN_4012 | ||
912 | |a GBV_ILN_4037 | ||
912 | |a GBV_ILN_4112 | ||
912 | |a GBV_ILN_4125 | ||
912 | |a GBV_ILN_4126 | ||
912 | |a GBV_ILN_4249 | ||
912 | |a GBV_ILN_4305 | ||
912 | |a GBV_ILN_4306 | ||
912 | |a GBV_ILN_4307 | ||
912 | |a GBV_ILN_4313 | ||
912 | |a GBV_ILN_4322 | ||
912 | |a GBV_ILN_4323 | ||
912 | |a GBV_ILN_4324 | ||
912 | |a GBV_ILN_4325 | ||
912 | |a GBV_ILN_4335 | ||
912 | |a GBV_ILN_4338 | ||
912 | |a GBV_ILN_4367 | ||
912 | |a GBV_ILN_4392 | ||
912 | |a GBV_ILN_4700 | ||
951 | |a AR | ||
952 | |d 13 |j 2021 |e 24, p 5133 |
author_variant |
h r hr a l al p x px z h zh j x jx y h yh x l xl h z hz h z hz x t xt b r br s w sw w c wc c d cd |
---|---|
matchkey_str |
article:20724292:2021----::hcaatrztoohzadutrcseuiga |
hierarchy_sort_str |
2021 |
publishDate |
2021 |
allfields |
10.3390/rs13245133 doi (DE-627)DOAJ019245335 (DE-599)DOAJ9fcbc15631374f379db137d8a8c5f0f7 DE-627 ger DE-627 rakwb eng Hongmei Ren verfasserin aut The Characterization of Haze and Dust Processes Using MAX-DOAS in Beijing, China 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Haze and dust pollution have a significant impact on human production, life, and health. In order to understand the pollution process, the study of these two pollution characteristics is important. In this study, a one-year observation was carried out at the Beijing Southern Suburb Observatory using the MAX-DOAS instrument, and the pollution characteristics of the typical haze and dust events were analyzed. First, the distribution of aerosol extinction (AE) and H<sub<2</sub<O concentrations in the two typical pollution events were studied. The results showed that the correlation coefficient (<i<r</i<) between H<sub<2</sub<O and AE at different heights decreased during dust processes and the correlation slope (|k|) increased, whereas <i<r</i< increased and |k| decreased during haze periods. The correlation slope increased during the dust episode due to low moisture content and increased O<sub<4</sub< absorption caused by abundant suspended dry crustal particles, but decreased during the haze episode due to a significant increase of H<sub<2</sub<O absorption. Secondly, the gas vertical column density (VCD) indicated that aerosol optical depth (AOD) increased during dust pollution events in the afternoon, while the H<sub<2</sub<O VCD decreased; in haze pollution processes, both H<sub<2</sub<O VCD and AOD increased. There were significant differences in meteorological conditions during haze (wind speed (WD) was <2 m/s, and relative humidity (RH) was <60%) and dust pollution (WD was <4 m/s, and RH was <60%). Next, the vertical distribution characteristics of gases during the pollution periods were studied. The AE profile showed that haze pollution lasted for a long time and changed slowly, whereas the opposite was true for dust pollution. The pollutants (aerosols, NO<sub<2</sub<, SO<sub<2</sub<, and HCHO) and H<sub<2</sub<O were concentrated below 1 km during both these typical pollution processes, and haze pollution was associated with a strong temperature inversion around 1.0 km. Lastly, the water vapor transport fluxes showed that the water vapor transport from the eastern air mass had an auxiliary effect on haze pollution at the observation location. Our results are of significance for exploring the pollution process of tropospheric trace gases and the transport of water vapor in Beijing, and provide a basis for satellite and model verification. MAX-DOAS haze pollution dust pollution Science Q Ang Li verfasserin aut Pinhua Xie verfasserin aut Zhaokun Hu verfasserin aut Jin Xu verfasserin aut Yeyuan Huang verfasserin aut Xiaomei Li verfasserin aut Hongyan Zhong verfasserin aut Hairong Zhang verfasserin aut Xin Tian verfasserin aut Bo Ren verfasserin aut Shuai Wang verfasserin aut Wenxuan Chai verfasserin aut Chuanyao Du verfasserin aut In Remote Sensing MDPI AG, 2009 13(2021), 24, p 5133 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:13 year:2021 number:24, p 5133 https://doi.org/10.3390/rs13245133 kostenfrei https://doaj.org/article/9fcbc15631374f379db137d8a8c5f0f7 kostenfrei https://www.mdpi.com/2072-4292/13/24/5133 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 13 2021 24, p 5133 |
spelling |
10.3390/rs13245133 doi (DE-627)DOAJ019245335 (DE-599)DOAJ9fcbc15631374f379db137d8a8c5f0f7 DE-627 ger DE-627 rakwb eng Hongmei Ren verfasserin aut The Characterization of Haze and Dust Processes Using MAX-DOAS in Beijing, China 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Haze and dust pollution have a significant impact on human production, life, and health. In order to understand the pollution process, the study of these two pollution characteristics is important. In this study, a one-year observation was carried out at the Beijing Southern Suburb Observatory using the MAX-DOAS instrument, and the pollution characteristics of the typical haze and dust events were analyzed. First, the distribution of aerosol extinction (AE) and H<sub<2</sub<O concentrations in the two typical pollution events were studied. The results showed that the correlation coefficient (<i<r</i<) between H<sub<2</sub<O and AE at different heights decreased during dust processes and the correlation slope (|k|) increased, whereas <i<r</i< increased and |k| decreased during haze periods. The correlation slope increased during the dust episode due to low moisture content and increased O<sub<4</sub< absorption caused by abundant suspended dry crustal particles, but decreased during the haze episode due to a significant increase of H<sub<2</sub<O absorption. Secondly, the gas vertical column density (VCD) indicated that aerosol optical depth (AOD) increased during dust pollution events in the afternoon, while the H<sub<2</sub<O VCD decreased; in haze pollution processes, both H<sub<2</sub<O VCD and AOD increased. There were significant differences in meteorological conditions during haze (wind speed (WD) was <2 m/s, and relative humidity (RH) was <60%) and dust pollution (WD was <4 m/s, and RH was <60%). Next, the vertical distribution characteristics of gases during the pollution periods were studied. The AE profile showed that haze pollution lasted for a long time and changed slowly, whereas the opposite was true for dust pollution. The pollutants (aerosols, NO<sub<2</sub<, SO<sub<2</sub<, and HCHO) and H<sub<2</sub<O were concentrated below 1 km during both these typical pollution processes, and haze pollution was associated with a strong temperature inversion around 1.0 km. Lastly, the water vapor transport fluxes showed that the water vapor transport from the eastern air mass had an auxiliary effect on haze pollution at the observation location. Our results are of significance for exploring the pollution process of tropospheric trace gases and the transport of water vapor in Beijing, and provide a basis for satellite and model verification. MAX-DOAS haze pollution dust pollution Science Q Ang Li verfasserin aut Pinhua Xie verfasserin aut Zhaokun Hu verfasserin aut Jin Xu verfasserin aut Yeyuan Huang verfasserin aut Xiaomei Li verfasserin aut Hongyan Zhong verfasserin aut Hairong Zhang verfasserin aut Xin Tian verfasserin aut Bo Ren verfasserin aut Shuai Wang verfasserin aut Wenxuan Chai verfasserin aut Chuanyao Du verfasserin aut In Remote Sensing MDPI AG, 2009 13(2021), 24, p 5133 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:13 year:2021 number:24, p 5133 https://doi.org/10.3390/rs13245133 kostenfrei https://doaj.org/article/9fcbc15631374f379db137d8a8c5f0f7 kostenfrei https://www.mdpi.com/2072-4292/13/24/5133 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 13 2021 24, p 5133 |
allfields_unstemmed |
10.3390/rs13245133 doi (DE-627)DOAJ019245335 (DE-599)DOAJ9fcbc15631374f379db137d8a8c5f0f7 DE-627 ger DE-627 rakwb eng Hongmei Ren verfasserin aut The Characterization of Haze and Dust Processes Using MAX-DOAS in Beijing, China 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Haze and dust pollution have a significant impact on human production, life, and health. In order to understand the pollution process, the study of these two pollution characteristics is important. In this study, a one-year observation was carried out at the Beijing Southern Suburb Observatory using the MAX-DOAS instrument, and the pollution characteristics of the typical haze and dust events were analyzed. First, the distribution of aerosol extinction (AE) and H<sub<2</sub<O concentrations in the two typical pollution events were studied. The results showed that the correlation coefficient (<i<r</i<) between H<sub<2</sub<O and AE at different heights decreased during dust processes and the correlation slope (|k|) increased, whereas <i<r</i< increased and |k| decreased during haze periods. The correlation slope increased during the dust episode due to low moisture content and increased O<sub<4</sub< absorption caused by abundant suspended dry crustal particles, but decreased during the haze episode due to a significant increase of H<sub<2</sub<O absorption. Secondly, the gas vertical column density (VCD) indicated that aerosol optical depth (AOD) increased during dust pollution events in the afternoon, while the H<sub<2</sub<O VCD decreased; in haze pollution processes, both H<sub<2</sub<O VCD and AOD increased. There were significant differences in meteorological conditions during haze (wind speed (WD) was <2 m/s, and relative humidity (RH) was <60%) and dust pollution (WD was <4 m/s, and RH was <60%). Next, the vertical distribution characteristics of gases during the pollution periods were studied. The AE profile showed that haze pollution lasted for a long time and changed slowly, whereas the opposite was true for dust pollution. The pollutants (aerosols, NO<sub<2</sub<, SO<sub<2</sub<, and HCHO) and H<sub<2</sub<O were concentrated below 1 km during both these typical pollution processes, and haze pollution was associated with a strong temperature inversion around 1.0 km. Lastly, the water vapor transport fluxes showed that the water vapor transport from the eastern air mass had an auxiliary effect on haze pollution at the observation location. Our results are of significance for exploring the pollution process of tropospheric trace gases and the transport of water vapor in Beijing, and provide a basis for satellite and model verification. MAX-DOAS haze pollution dust pollution Science Q Ang Li verfasserin aut Pinhua Xie verfasserin aut Zhaokun Hu verfasserin aut Jin Xu verfasserin aut Yeyuan Huang verfasserin aut Xiaomei Li verfasserin aut Hongyan Zhong verfasserin aut Hairong Zhang verfasserin aut Xin Tian verfasserin aut Bo Ren verfasserin aut Shuai Wang verfasserin aut Wenxuan Chai verfasserin aut Chuanyao Du verfasserin aut In Remote Sensing MDPI AG, 2009 13(2021), 24, p 5133 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:13 year:2021 number:24, p 5133 https://doi.org/10.3390/rs13245133 kostenfrei https://doaj.org/article/9fcbc15631374f379db137d8a8c5f0f7 kostenfrei https://www.mdpi.com/2072-4292/13/24/5133 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 13 2021 24, p 5133 |
allfieldsGer |
10.3390/rs13245133 doi (DE-627)DOAJ019245335 (DE-599)DOAJ9fcbc15631374f379db137d8a8c5f0f7 DE-627 ger DE-627 rakwb eng Hongmei Ren verfasserin aut The Characterization of Haze and Dust Processes Using MAX-DOAS in Beijing, China 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Haze and dust pollution have a significant impact on human production, life, and health. In order to understand the pollution process, the study of these two pollution characteristics is important. In this study, a one-year observation was carried out at the Beijing Southern Suburb Observatory using the MAX-DOAS instrument, and the pollution characteristics of the typical haze and dust events were analyzed. First, the distribution of aerosol extinction (AE) and H<sub<2</sub<O concentrations in the two typical pollution events were studied. The results showed that the correlation coefficient (<i<r</i<) between H<sub<2</sub<O and AE at different heights decreased during dust processes and the correlation slope (|k|) increased, whereas <i<r</i< increased and |k| decreased during haze periods. The correlation slope increased during the dust episode due to low moisture content and increased O<sub<4</sub< absorption caused by abundant suspended dry crustal particles, but decreased during the haze episode due to a significant increase of H<sub<2</sub<O absorption. Secondly, the gas vertical column density (VCD) indicated that aerosol optical depth (AOD) increased during dust pollution events in the afternoon, while the H<sub<2</sub<O VCD decreased; in haze pollution processes, both H<sub<2</sub<O VCD and AOD increased. There were significant differences in meteorological conditions during haze (wind speed (WD) was <2 m/s, and relative humidity (RH) was <60%) and dust pollution (WD was <4 m/s, and RH was <60%). Next, the vertical distribution characteristics of gases during the pollution periods were studied. The AE profile showed that haze pollution lasted for a long time and changed slowly, whereas the opposite was true for dust pollution. The pollutants (aerosols, NO<sub<2</sub<, SO<sub<2</sub<, and HCHO) and H<sub<2</sub<O were concentrated below 1 km during both these typical pollution processes, and haze pollution was associated with a strong temperature inversion around 1.0 km. Lastly, the water vapor transport fluxes showed that the water vapor transport from the eastern air mass had an auxiliary effect on haze pollution at the observation location. Our results are of significance for exploring the pollution process of tropospheric trace gases and the transport of water vapor in Beijing, and provide a basis for satellite and model verification. MAX-DOAS haze pollution dust pollution Science Q Ang Li verfasserin aut Pinhua Xie verfasserin aut Zhaokun Hu verfasserin aut Jin Xu verfasserin aut Yeyuan Huang verfasserin aut Xiaomei Li verfasserin aut Hongyan Zhong verfasserin aut Hairong Zhang verfasserin aut Xin Tian verfasserin aut Bo Ren verfasserin aut Shuai Wang verfasserin aut Wenxuan Chai verfasserin aut Chuanyao Du verfasserin aut In Remote Sensing MDPI AG, 2009 13(2021), 24, p 5133 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:13 year:2021 number:24, p 5133 https://doi.org/10.3390/rs13245133 kostenfrei https://doaj.org/article/9fcbc15631374f379db137d8a8c5f0f7 kostenfrei https://www.mdpi.com/2072-4292/13/24/5133 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 13 2021 24, p 5133 |
allfieldsSound |
10.3390/rs13245133 doi (DE-627)DOAJ019245335 (DE-599)DOAJ9fcbc15631374f379db137d8a8c5f0f7 DE-627 ger DE-627 rakwb eng Hongmei Ren verfasserin aut The Characterization of Haze and Dust Processes Using MAX-DOAS in Beijing, China 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Haze and dust pollution have a significant impact on human production, life, and health. In order to understand the pollution process, the study of these two pollution characteristics is important. In this study, a one-year observation was carried out at the Beijing Southern Suburb Observatory using the MAX-DOAS instrument, and the pollution characteristics of the typical haze and dust events were analyzed. First, the distribution of aerosol extinction (AE) and H<sub<2</sub<O concentrations in the two typical pollution events were studied. The results showed that the correlation coefficient (<i<r</i<) between H<sub<2</sub<O and AE at different heights decreased during dust processes and the correlation slope (|k|) increased, whereas <i<r</i< increased and |k| decreased during haze periods. The correlation slope increased during the dust episode due to low moisture content and increased O<sub<4</sub< absorption caused by abundant suspended dry crustal particles, but decreased during the haze episode due to a significant increase of H<sub<2</sub<O absorption. Secondly, the gas vertical column density (VCD) indicated that aerosol optical depth (AOD) increased during dust pollution events in the afternoon, while the H<sub<2</sub<O VCD decreased; in haze pollution processes, both H<sub<2</sub<O VCD and AOD increased. There were significant differences in meteorological conditions during haze (wind speed (WD) was <2 m/s, and relative humidity (RH) was <60%) and dust pollution (WD was <4 m/s, and RH was <60%). Next, the vertical distribution characteristics of gases during the pollution periods were studied. The AE profile showed that haze pollution lasted for a long time and changed slowly, whereas the opposite was true for dust pollution. The pollutants (aerosols, NO<sub<2</sub<, SO<sub<2</sub<, and HCHO) and H<sub<2</sub<O were concentrated below 1 km during both these typical pollution processes, and haze pollution was associated with a strong temperature inversion around 1.0 km. Lastly, the water vapor transport fluxes showed that the water vapor transport from the eastern air mass had an auxiliary effect on haze pollution at the observation location. Our results are of significance for exploring the pollution process of tropospheric trace gases and the transport of water vapor in Beijing, and provide a basis for satellite and model verification. MAX-DOAS haze pollution dust pollution Science Q Ang Li verfasserin aut Pinhua Xie verfasserin aut Zhaokun Hu verfasserin aut Jin Xu verfasserin aut Yeyuan Huang verfasserin aut Xiaomei Li verfasserin aut Hongyan Zhong verfasserin aut Hairong Zhang verfasserin aut Xin Tian verfasserin aut Bo Ren verfasserin aut Shuai Wang verfasserin aut Wenxuan Chai verfasserin aut Chuanyao Du verfasserin aut In Remote Sensing MDPI AG, 2009 13(2021), 24, p 5133 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:13 year:2021 number:24, p 5133 https://doi.org/10.3390/rs13245133 kostenfrei https://doaj.org/article/9fcbc15631374f379db137d8a8c5f0f7 kostenfrei https://www.mdpi.com/2072-4292/13/24/5133 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 13 2021 24, p 5133 |
language |
English |
source |
In Remote Sensing 13(2021), 24, p 5133 volume:13 year:2021 number:24, p 5133 |
sourceStr |
In Remote Sensing 13(2021), 24, p 5133 volume:13 year:2021 number:24, p 5133 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
MAX-DOAS haze pollution dust pollution Science Q |
isfreeaccess_bool |
true |
container_title |
Remote Sensing |
authorswithroles_txt_mv |
Hongmei Ren @@aut@@ Ang Li @@aut@@ Pinhua Xie @@aut@@ Zhaokun Hu @@aut@@ Jin Xu @@aut@@ Yeyuan Huang @@aut@@ Xiaomei Li @@aut@@ Hongyan Zhong @@aut@@ Hairong Zhang @@aut@@ Xin Tian @@aut@@ Bo Ren @@aut@@ Shuai Wang @@aut@@ Wenxuan Chai @@aut@@ Chuanyao Du @@aut@@ |
publishDateDaySort_date |
2021-01-01T00:00:00Z |
hierarchy_top_id |
608937916 |
id |
DOAJ019245335 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ019245335</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240414222539.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230226s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.3390/rs13245133</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ019245335</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ9fcbc15631374f379db137d8a8c5f0f7</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Hongmei Ren</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The Characterization of Haze and Dust Processes Using MAX-DOAS in Beijing, China</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Haze and dust pollution have a significant impact on human production, life, and health. In order to understand the pollution process, the study of these two pollution characteristics is important. In this study, a one-year observation was carried out at the Beijing Southern Suburb Observatory using the MAX-DOAS instrument, and the pollution characteristics of the typical haze and dust events were analyzed. First, the distribution of aerosol extinction (AE) and H<sub<2</sub<O concentrations in the two typical pollution events were studied. The results showed that the correlation coefficient (<i<r</i<) between H<sub<2</sub<O and AE at different heights decreased during dust processes and the correlation slope (|k|) increased, whereas <i<r</i< increased and |k| decreased during haze periods. The correlation slope increased during the dust episode due to low moisture content and increased O<sub<4</sub< absorption caused by abundant suspended dry crustal particles, but decreased during the haze episode due to a significant increase of H<sub<2</sub<O absorption. Secondly, the gas vertical column density (VCD) indicated that aerosol optical depth (AOD) increased during dust pollution events in the afternoon, while the H<sub<2</sub<O VCD decreased; in haze pollution processes, both H<sub<2</sub<O VCD and AOD increased. There were significant differences in meteorological conditions during haze (wind speed (WD) was <2 m/s, and relative humidity (RH) was <60%) and dust pollution (WD was <4 m/s, and RH was <60%). Next, the vertical distribution characteristics of gases during the pollution periods were studied. The AE profile showed that haze pollution lasted for a long time and changed slowly, whereas the opposite was true for dust pollution. The pollutants (aerosols, NO<sub<2</sub<, SO<sub<2</sub<, and HCHO) and H<sub<2</sub<O were concentrated below 1 km during both these typical pollution processes, and haze pollution was associated with a strong temperature inversion around 1.0 km. Lastly, the water vapor transport fluxes showed that the water vapor transport from the eastern air mass had an auxiliary effect on haze pollution at the observation location. Our results are of significance for exploring the pollution process of tropospheric trace gases and the transport of water vapor in Beijing, and provide a basis for satellite and model verification.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">MAX-DOAS</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">haze pollution</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">dust pollution</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Science</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Q</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ang Li</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Pinhua Xie</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Zhaokun Hu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jin Xu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yeyuan Huang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xiaomei Li</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Hongyan Zhong</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Hairong Zhang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xin Tian</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Bo Ren</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Shuai Wang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Wenxuan Chai</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Chuanyao Du</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Remote Sensing</subfield><subfield code="d">MDPI AG, 2009</subfield><subfield code="g">13(2021), 24, p 5133</subfield><subfield code="w">(DE-627)608937916</subfield><subfield code="w">(DE-600)2513863-7</subfield><subfield code="x">20724292</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:13</subfield><subfield code="g">year:2021</subfield><subfield code="g">number:24, p 5133</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.3390/rs13245133</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/9fcbc15631374f379db137d8a8c5f0f7</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.mdpi.com/2072-4292/13/24/5133</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2072-4292</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2108</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2119</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4392</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">13</subfield><subfield code="j">2021</subfield><subfield code="e">24, p 5133</subfield></datafield></record></collection>
|
author |
Hongmei Ren |
spellingShingle |
Hongmei Ren misc MAX-DOAS misc haze pollution misc dust pollution misc Science misc Q The Characterization of Haze and Dust Processes Using MAX-DOAS in Beijing, China |
authorStr |
Hongmei Ren |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)608937916 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut aut aut aut aut aut aut aut aut aut aut aut aut |
collection |
DOAJ |
remote_str |
true |
illustrated |
Not Illustrated |
issn |
20724292 |
topic_title |
The Characterization of Haze and Dust Processes Using MAX-DOAS in Beijing, China MAX-DOAS haze pollution dust pollution |
topic |
misc MAX-DOAS misc haze pollution misc dust pollution misc Science misc Q |
topic_unstemmed |
misc MAX-DOAS misc haze pollution misc dust pollution misc Science misc Q |
topic_browse |
misc MAX-DOAS misc haze pollution misc dust pollution misc Science misc Q |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Remote Sensing |
hierarchy_parent_id |
608937916 |
hierarchy_top_title |
Remote Sensing |
isfreeaccess_txt |
true |
familylinks_str_mv |
(DE-627)608937916 (DE-600)2513863-7 |
title |
The Characterization of Haze and Dust Processes Using MAX-DOAS in Beijing, China |
ctrlnum |
(DE-627)DOAJ019245335 (DE-599)DOAJ9fcbc15631374f379db137d8a8c5f0f7 |
title_full |
The Characterization of Haze and Dust Processes Using MAX-DOAS in Beijing, China |
author_sort |
Hongmei Ren |
journal |
Remote Sensing |
journalStr |
Remote Sensing |
lang_code |
eng |
isOA_bool |
true |
recordtype |
marc |
publishDateSort |
2021 |
contenttype_str_mv |
txt |
author_browse |
Hongmei Ren Ang Li Pinhua Xie Zhaokun Hu Jin Xu Yeyuan Huang Xiaomei Li Hongyan Zhong Hairong Zhang Xin Tian Bo Ren Shuai Wang Wenxuan Chai Chuanyao Du |
container_volume |
13 |
format_se |
Elektronische Aufsätze |
author-letter |
Hongmei Ren |
doi_str_mv |
10.3390/rs13245133 |
author2-role |
verfasserin |
title_sort |
characterization of haze and dust processes using max-doas in beijing, china |
title_auth |
The Characterization of Haze and Dust Processes Using MAX-DOAS in Beijing, China |
abstract |
Haze and dust pollution have a significant impact on human production, life, and health. In order to understand the pollution process, the study of these two pollution characteristics is important. In this study, a one-year observation was carried out at the Beijing Southern Suburb Observatory using the MAX-DOAS instrument, and the pollution characteristics of the typical haze and dust events were analyzed. First, the distribution of aerosol extinction (AE) and H<sub<2</sub<O concentrations in the two typical pollution events were studied. The results showed that the correlation coefficient (<i<r</i<) between H<sub<2</sub<O and AE at different heights decreased during dust processes and the correlation slope (|k|) increased, whereas <i<r</i< increased and |k| decreased during haze periods. The correlation slope increased during the dust episode due to low moisture content and increased O<sub<4</sub< absorption caused by abundant suspended dry crustal particles, but decreased during the haze episode due to a significant increase of H<sub<2</sub<O absorption. Secondly, the gas vertical column density (VCD) indicated that aerosol optical depth (AOD) increased during dust pollution events in the afternoon, while the H<sub<2</sub<O VCD decreased; in haze pollution processes, both H<sub<2</sub<O VCD and AOD increased. There were significant differences in meteorological conditions during haze (wind speed (WD) was <2 m/s, and relative humidity (RH) was <60%) and dust pollution (WD was <4 m/s, and RH was <60%). Next, the vertical distribution characteristics of gases during the pollution periods were studied. The AE profile showed that haze pollution lasted for a long time and changed slowly, whereas the opposite was true for dust pollution. The pollutants (aerosols, NO<sub<2</sub<, SO<sub<2</sub<, and HCHO) and H<sub<2</sub<O were concentrated below 1 km during both these typical pollution processes, and haze pollution was associated with a strong temperature inversion around 1.0 km. Lastly, the water vapor transport fluxes showed that the water vapor transport from the eastern air mass had an auxiliary effect on haze pollution at the observation location. Our results are of significance for exploring the pollution process of tropospheric trace gases and the transport of water vapor in Beijing, and provide a basis for satellite and model verification. |
abstractGer |
Haze and dust pollution have a significant impact on human production, life, and health. In order to understand the pollution process, the study of these two pollution characteristics is important. In this study, a one-year observation was carried out at the Beijing Southern Suburb Observatory using the MAX-DOAS instrument, and the pollution characteristics of the typical haze and dust events were analyzed. First, the distribution of aerosol extinction (AE) and H<sub<2</sub<O concentrations in the two typical pollution events were studied. The results showed that the correlation coefficient (<i<r</i<) between H<sub<2</sub<O and AE at different heights decreased during dust processes and the correlation slope (|k|) increased, whereas <i<r</i< increased and |k| decreased during haze periods. The correlation slope increased during the dust episode due to low moisture content and increased O<sub<4</sub< absorption caused by abundant suspended dry crustal particles, but decreased during the haze episode due to a significant increase of H<sub<2</sub<O absorption. Secondly, the gas vertical column density (VCD) indicated that aerosol optical depth (AOD) increased during dust pollution events in the afternoon, while the H<sub<2</sub<O VCD decreased; in haze pollution processes, both H<sub<2</sub<O VCD and AOD increased. There were significant differences in meteorological conditions during haze (wind speed (WD) was <2 m/s, and relative humidity (RH) was <60%) and dust pollution (WD was <4 m/s, and RH was <60%). Next, the vertical distribution characteristics of gases during the pollution periods were studied. The AE profile showed that haze pollution lasted for a long time and changed slowly, whereas the opposite was true for dust pollution. The pollutants (aerosols, NO<sub<2</sub<, SO<sub<2</sub<, and HCHO) and H<sub<2</sub<O were concentrated below 1 km during both these typical pollution processes, and haze pollution was associated with a strong temperature inversion around 1.0 km. Lastly, the water vapor transport fluxes showed that the water vapor transport from the eastern air mass had an auxiliary effect on haze pollution at the observation location. Our results are of significance for exploring the pollution process of tropospheric trace gases and the transport of water vapor in Beijing, and provide a basis for satellite and model verification. |
abstract_unstemmed |
Haze and dust pollution have a significant impact on human production, life, and health. In order to understand the pollution process, the study of these two pollution characteristics is important. In this study, a one-year observation was carried out at the Beijing Southern Suburb Observatory using the MAX-DOAS instrument, and the pollution characteristics of the typical haze and dust events were analyzed. First, the distribution of aerosol extinction (AE) and H<sub<2</sub<O concentrations in the two typical pollution events were studied. The results showed that the correlation coefficient (<i<r</i<) between H<sub<2</sub<O and AE at different heights decreased during dust processes and the correlation slope (|k|) increased, whereas <i<r</i< increased and |k| decreased during haze periods. The correlation slope increased during the dust episode due to low moisture content and increased O<sub<4</sub< absorption caused by abundant suspended dry crustal particles, but decreased during the haze episode due to a significant increase of H<sub<2</sub<O absorption. Secondly, the gas vertical column density (VCD) indicated that aerosol optical depth (AOD) increased during dust pollution events in the afternoon, while the H<sub<2</sub<O VCD decreased; in haze pollution processes, both H<sub<2</sub<O VCD and AOD increased. There were significant differences in meteorological conditions during haze (wind speed (WD) was <2 m/s, and relative humidity (RH) was <60%) and dust pollution (WD was <4 m/s, and RH was <60%). Next, the vertical distribution characteristics of gases during the pollution periods were studied. The AE profile showed that haze pollution lasted for a long time and changed slowly, whereas the opposite was true for dust pollution. The pollutants (aerosols, NO<sub<2</sub<, SO<sub<2</sub<, and HCHO) and H<sub<2</sub<O were concentrated below 1 km during both these typical pollution processes, and haze pollution was associated with a strong temperature inversion around 1.0 km. Lastly, the water vapor transport fluxes showed that the water vapor transport from the eastern air mass had an auxiliary effect on haze pollution at the observation location. Our results are of significance for exploring the pollution process of tropospheric trace gases and the transport of water vapor in Beijing, and provide a basis for satellite and model verification. |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 |
container_issue |
24, p 5133 |
title_short |
The Characterization of Haze and Dust Processes Using MAX-DOAS in Beijing, China |
url |
https://doi.org/10.3390/rs13245133 https://doaj.org/article/9fcbc15631374f379db137d8a8c5f0f7 https://www.mdpi.com/2072-4292/13/24/5133 https://doaj.org/toc/2072-4292 |
remote_bool |
true |
author2 |
Ang Li Pinhua Xie Zhaokun Hu Jin Xu Yeyuan Huang Xiaomei Li Hongyan Zhong Hairong Zhang Xin Tian Bo Ren Shuai Wang Wenxuan Chai Chuanyao Du |
author2Str |
Ang Li Pinhua Xie Zhaokun Hu Jin Xu Yeyuan Huang Xiaomei Li Hongyan Zhong Hairong Zhang Xin Tian Bo Ren Shuai Wang Wenxuan Chai Chuanyao Du |
ppnlink |
608937916 |
mediatype_str_mv |
c |
isOA_txt |
true |
hochschulschrift_bool |
false |
doi_str |
10.3390/rs13245133 |
up_date |
2024-07-03T22:34:53.244Z |
_version_ |
1803599052270469120 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ019245335</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240414222539.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230226s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.3390/rs13245133</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ019245335</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ9fcbc15631374f379db137d8a8c5f0f7</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Hongmei Ren</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The Characterization of Haze and Dust Processes Using MAX-DOAS in Beijing, China</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Haze and dust pollution have a significant impact on human production, life, and health. In order to understand the pollution process, the study of these two pollution characteristics is important. In this study, a one-year observation was carried out at the Beijing Southern Suburb Observatory using the MAX-DOAS instrument, and the pollution characteristics of the typical haze and dust events were analyzed. First, the distribution of aerosol extinction (AE) and H<sub<2</sub<O concentrations in the two typical pollution events were studied. The results showed that the correlation coefficient (<i<r</i<) between H<sub<2</sub<O and AE at different heights decreased during dust processes and the correlation slope (|k|) increased, whereas <i<r</i< increased and |k| decreased during haze periods. The correlation slope increased during the dust episode due to low moisture content and increased O<sub<4</sub< absorption caused by abundant suspended dry crustal particles, but decreased during the haze episode due to a significant increase of H<sub<2</sub<O absorption. Secondly, the gas vertical column density (VCD) indicated that aerosol optical depth (AOD) increased during dust pollution events in the afternoon, while the H<sub<2</sub<O VCD decreased; in haze pollution processes, both H<sub<2</sub<O VCD and AOD increased. There were significant differences in meteorological conditions during haze (wind speed (WD) was <2 m/s, and relative humidity (RH) was <60%) and dust pollution (WD was <4 m/s, and RH was <60%). Next, the vertical distribution characteristics of gases during the pollution periods were studied. The AE profile showed that haze pollution lasted for a long time and changed slowly, whereas the opposite was true for dust pollution. The pollutants (aerosols, NO<sub<2</sub<, SO<sub<2</sub<, and HCHO) and H<sub<2</sub<O were concentrated below 1 km during both these typical pollution processes, and haze pollution was associated with a strong temperature inversion around 1.0 km. Lastly, the water vapor transport fluxes showed that the water vapor transport from the eastern air mass had an auxiliary effect on haze pollution at the observation location. Our results are of significance for exploring the pollution process of tropospheric trace gases and the transport of water vapor in Beijing, and provide a basis for satellite and model verification.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">MAX-DOAS</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">haze pollution</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">dust pollution</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Science</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Q</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ang Li</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Pinhua Xie</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Zhaokun Hu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jin Xu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yeyuan Huang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xiaomei Li</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Hongyan Zhong</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Hairong Zhang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xin Tian</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Bo Ren</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Shuai Wang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Wenxuan Chai</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Chuanyao Du</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Remote Sensing</subfield><subfield code="d">MDPI AG, 2009</subfield><subfield code="g">13(2021), 24, p 5133</subfield><subfield code="w">(DE-627)608937916</subfield><subfield code="w">(DE-600)2513863-7</subfield><subfield code="x">20724292</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:13</subfield><subfield code="g">year:2021</subfield><subfield code="g">number:24, p 5133</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.3390/rs13245133</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/9fcbc15631374f379db137d8a8c5f0f7</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.mdpi.com/2072-4292/13/24/5133</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2072-4292</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2108</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2119</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4392</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">13</subfield><subfield code="j">2021</subfield><subfield code="e">24, p 5133</subfield></datafield></record></collection>
|
score |
7.398386 |