Remote sensing of emission flux from different systems of steel factory by mobile passive DOAS
Mobile passive differential optical absorption spectroscopy (DOAS) was used for the remote sensing of the emission flux from different systems of a steel factory. Correlation matrix of the absorption cross sections was used for the best DOAS inversion band. Vertical column density was retrieved by t...
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| Veröffentlicht in: | Liang zi dian zi xue bao 2015-09, Vol.32 (5), p.627-634 |
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| container_title | Liang zi dian zi xue bao |
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| creator | Dong, Wei Hu, Zhaokun Li, Ang Xu, Jin Wu, Fengcheng Mou, Fusheng Zhang, Jie Xie, Pinhua |
| description | Mobile passive differential optical absorption spectroscopy (DOAS) was used for the remote sensing of the emission flux from different systems of a steel factory. Correlation matrix of the absorption cross sections was used for the best DOAS inversion band. Vertical column density was retrieved by this system, combined with the meterorological wind field and car speed information, the emission of SO sub(2) and NO sub(2) in the area was estimated. The results showed that the average value of the flux of SO sub(2) and NO sub(2) was 149 kg/h and 372 kg/h in the rolling and smelting system, 260 kg/h and 286 kg/h in the coking system, 21 kg/h and 26 kg/h in the power system, 64 kg/h and 79 kg/h in the roasting system, and 34 kg/h and 99 kg/h in the sintering system. |
| doi_str_mv | 10.3969/j.issn.1007-5461.2015.05.018 |
| format | Article |
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Correlation matrix of the absorption cross sections was used for the best DOAS inversion band. Vertical column density was retrieved by this system, combined with the meterorological wind field and car speed information, the emission of SO sub(2) and NO sub(2) in the area was estimated. The results showed that the average value of the flux of SO sub(2) and NO sub(2) was 149 kg/h and 372 kg/h in the rolling and smelting system, 260 kg/h and 286 kg/h in the coking system, 21 kg/h and 26 kg/h in the power system, 64 kg/h and 79 kg/h in the roasting system, and 34 kg/h and 99 kg/h in the sintering system.</description><identifier>ISSN: 1007-5461</identifier><identifier>DOI: 10.3969/j.issn.1007-5461.2015.05.018</identifier><language>chi</language><subject>Density ; Emission spectroscopy ; Factories ; Flux ; Industrial plants ; Nitrogen dioxide ; Remote sensing ; Structural steels</subject><ispartof>Liang zi dian zi xue bao, 2015-09, Vol.32 (5), p.627-634</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Dong, Wei</creatorcontrib><creatorcontrib>Hu, Zhaokun</creatorcontrib><creatorcontrib>Li, Ang</creatorcontrib><creatorcontrib>Xu, Jin</creatorcontrib><creatorcontrib>Wu, Fengcheng</creatorcontrib><creatorcontrib>Mou, Fusheng</creatorcontrib><creatorcontrib>Zhang, Jie</creatorcontrib><creatorcontrib>Xie, Pinhua</creatorcontrib><title>Remote sensing of emission flux from different systems of steel factory by mobile passive DOAS</title><title>Liang zi dian zi xue bao</title><description>Mobile passive differential optical absorption spectroscopy (DOAS) was used for the remote sensing of the emission flux from different systems of a steel factory. Correlation matrix of the absorption cross sections was used for the best DOAS inversion band. Vertical column density was retrieved by this system, combined with the meterorological wind field and car speed information, the emission of SO sub(2) and NO sub(2) in the area was estimated. The results showed that the average value of the flux of SO sub(2) and NO sub(2) was 149 kg/h and 372 kg/h in the rolling and smelting system, 260 kg/h and 286 kg/h in the coking system, 21 kg/h and 26 kg/h in the power system, 64 kg/h and 79 kg/h in the roasting system, and 34 kg/h and 99 kg/h in the sintering system.</description><subject>Density</subject><subject>Emission spectroscopy</subject><subject>Factories</subject><subject>Flux</subject><subject>Industrial plants</subject><subject>Nitrogen dioxide</subject><subject>Remote sensing</subject><subject>Structural steels</subject><issn>1007-5461</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNqVTctqAjEUzaJCB_Uf7qILN8bEeUSXohV3Qtt1ZWZ6UyJ52LmZ0vn7RhD3woFzOJwHYy9S8HxdrRdnbog8l0KoeVlUki-FLLlIkKsnlt39ZzYlMo1Y5lVRFUpm7PMNXYgIhJ6M_4agAV0aM8GDtv0f6C44-DJaY4c-Ag0U0dE1lwRa0HUbQzdAM4ALjbEIlzrVfxF2x837hI10bQmnNx6z2f71Y3uYX7rw0yPFUzpr0draY-jpJJVaiVKqQuUPRP8BmNVQ4Q</recordid><startdate>20150901</startdate><enddate>20150901</enddate><creator>Dong, Wei</creator><creator>Hu, Zhaokun</creator><creator>Li, Ang</creator><creator>Xu, Jin</creator><creator>Wu, Fengcheng</creator><creator>Mou, Fusheng</creator><creator>Zhang, Jie</creator><creator>Xie, Pinhua</creator><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>20150901</creationdate><title>Remote sensing of emission flux from different systems of steel factory by mobile passive DOAS</title><author>Dong, Wei ; Hu, Zhaokun ; Li, Ang ; Xu, Jin ; Wu, Fengcheng ; Mou, Fusheng ; Zhang, Jie ; Xie, Pinhua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_miscellaneous_17780517473</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>chi</language><creationdate>2015</creationdate><topic>Density</topic><topic>Emission spectroscopy</topic><topic>Factories</topic><topic>Flux</topic><topic>Industrial plants</topic><topic>Nitrogen dioxide</topic><topic>Remote sensing</topic><topic>Structural steels</topic><toplevel>online_resources</toplevel><creatorcontrib>Dong, Wei</creatorcontrib><creatorcontrib>Hu, Zhaokun</creatorcontrib><creatorcontrib>Li, Ang</creatorcontrib><creatorcontrib>Xu, Jin</creatorcontrib><creatorcontrib>Wu, Fengcheng</creatorcontrib><creatorcontrib>Mou, Fusheng</creatorcontrib><creatorcontrib>Zhang, Jie</creatorcontrib><creatorcontrib>Xie, Pinhua</creatorcontrib><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Liang zi dian zi xue bao</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dong, Wei</au><au>Hu, Zhaokun</au><au>Li, Ang</au><au>Xu, Jin</au><au>Wu, Fengcheng</au><au>Mou, Fusheng</au><au>Zhang, Jie</au><au>Xie, Pinhua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Remote sensing of emission flux from different systems of steel factory by mobile passive DOAS</atitle><jtitle>Liang zi dian zi xue bao</jtitle><date>2015-09-01</date><risdate>2015</risdate><volume>32</volume><issue>5</issue><spage>627</spage><epage>634</epage><pages>627-634</pages><issn>1007-5461</issn><abstract>Mobile passive differential optical absorption spectroscopy (DOAS) was used for the remote sensing of the emission flux from different systems of a steel factory. Correlation matrix of the absorption cross sections was used for the best DOAS inversion band. Vertical column density was retrieved by this system, combined with the meterorological wind field and car speed information, the emission of SO sub(2) and NO sub(2) in the area was estimated. The results showed that the average value of the flux of SO sub(2) and NO sub(2) was 149 kg/h and 372 kg/h in the rolling and smelting system, 260 kg/h and 286 kg/h in the coking system, 21 kg/h and 26 kg/h in the power system, 64 kg/h and 79 kg/h in the roasting system, and 34 kg/h and 99 kg/h in the sintering system.</abstract><doi>10.3969/j.issn.1007-5461.2015.05.018</doi></addata></record> |
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| source | Alma/SFX Local Collection |
| subjects | Density Emission spectroscopy Factories Flux Industrial plants Nitrogen dioxide Remote sensing Structural steels |
| title | Remote sensing of emission flux from different systems of steel factory by mobile passive DOAS |
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