Methods for Studying the Sensitivity of Air Quality Models and Inverse Problems of Geophysical Hydrothermodynamics
Variational approach and sensitivity theory methods are used to construct algorithms for solving the problems of environmental forecast and design. When studying the behavior of the model in the parameter space, sensitivity functions are calculated as partial derivatives of the target functionals wi...
Gespeichert in:
| Veröffentlicht in: | Journal of applied mechanics and technical physics 2019-03, Vol.60 (2), p.392-399 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 399 |
|---|---|
| container_issue | 2 |
| container_start_page | 392 |
| container_title | Journal of applied mechanics and technical physics |
| container_volume | 60 |
| creator | Penenko, V. V. Penenko, A. V. Tsvetova, E. A. Gochakov, A. V. |
| description | Variational approach and sensitivity theory methods are used to construct algorithms for solving the problems of environmental forecast and design. When studying the behavior of the model in the parameter space, sensitivity functions are calculated as partial derivatives of the target functionals with respect to the model parameters. The sensitivity functions are used to investigate the properties of mathematical models and solve inverse problems. Using the proposed approach, which involves a model of air quality of the Novosibirsk agglomeration and an algorithm based on an ensemble of sensitivity functions, the inverse problem of estimating the position and intensity of pollution sources is solved. |
| doi_str_mv | 10.1134/S0021894419020202 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2235162083</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2235162083</sourcerecordid><originalsourceid>FETCH-LOGICAL-c316t-ef434b7ccc2df7485ec0da6547d5d25302bd7e423663e1adb7fe1cbbc8cab8e63</originalsourceid><addsrcrecordid>eNp1kEtLw0AUhQdRsFZ_gLsB19F55dFlKdoWWlSi6zCPm3ZKkqkzSSH_3oQKLkTu4nI53zkXDkL3lDxSysVTTgij2UwIOiNsnAs0oXHKoyxh5BJNRjka9Wt0E8KBEDLLaDpBfgvt3pmAS-dx3namt80Ot3vAOTTBtvZk2x67Es-tx--drMZz6wxUAcvG4HVzAh8Av3mnKqjDiC7BHfd9sFpWeNUb74Y4XzvTN7K2Otyiq1JWAe5-9hR9vjx_LFbR5nW5Xsw3keY0aSMoBRcq1VozU6Yii0ETI5NYpCY2LOaEKZOCYDxJOFBpVFoC1UrpTEuVQcKn6OGce_Tuq4PQFgfX-WZ4WTDGYzoUk_GBomdKexeCh7I4eltL3xeUFGO1xZ9qBw87e8LANjvwv8n_m74BbD19NA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2235162083</pqid></control><display><type>article</type><title>Methods for Studying the Sensitivity of Air Quality Models and Inverse Problems of Geophysical Hydrothermodynamics</title><source>SpringerLink Journals - AutoHoldings</source><creator>Penenko, V. V. ; Penenko, A. V. ; Tsvetova, E. A. ; Gochakov, A. V.</creator><creatorcontrib>Penenko, V. V. ; Penenko, A. V. ; Tsvetova, E. A. ; Gochakov, A. V.</creatorcontrib><description>Variational approach and sensitivity theory methods are used to construct algorithms for solving the problems of environmental forecast and design. When studying the behavior of the model in the parameter space, sensitivity functions are calculated as partial derivatives of the target functionals with respect to the model parameters. The sensitivity functions are used to investigate the properties of mathematical models and solve inverse problems. Using the proposed approach, which involves a model of air quality of the Novosibirsk agglomeration and an algorithm based on an ensemble of sensitivity functions, the inverse problem of estimating the position and intensity of pollution sources is solved.</description><identifier>ISSN: 0021-8944</identifier><identifier>EISSN: 1573-8620</identifier><identifier>DOI: 10.1134/S0021894419020202</identifier><language>eng</language><publisher>Moscow: Pleiades Publishing</publisher><subject>Air quality ; Algorithms ; Applications of Mathematics ; Classical and Continuum Physics ; Classical Mechanics ; Fluid- and Aerodynamics ; Functionals ; Geophysical methods ; Geophysics ; Hydrothermodynamics ; Inverse problems ; Mathematical Modeling and Industrial Mathematics ; Mathematical models ; Mechanical Engineering ; Parameter sensitivity ; Physics ; Physics and Astronomy ; Pollution sources</subject><ispartof>Journal of applied mechanics and technical physics, 2019-03, Vol.60 (2), p.392-399</ispartof><rights>Pleiades Publishing, Ltd. 2019</rights><rights>Copyright Springer Nature B.V. 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-ef434b7ccc2df7485ec0da6547d5d25302bd7e423663e1adb7fe1cbbc8cab8e63</citedby><cites>FETCH-LOGICAL-c316t-ef434b7ccc2df7485ec0da6547d5d25302bd7e423663e1adb7fe1cbbc8cab8e63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1134/S0021894419020202$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1134/S0021894419020202$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Penenko, V. V.</creatorcontrib><creatorcontrib>Penenko, A. V.</creatorcontrib><creatorcontrib>Tsvetova, E. A.</creatorcontrib><creatorcontrib>Gochakov, A. V.</creatorcontrib><title>Methods for Studying the Sensitivity of Air Quality Models and Inverse Problems of Geophysical Hydrothermodynamics</title><title>Journal of applied mechanics and technical physics</title><addtitle>J Appl Mech Tech Phy</addtitle><description>Variational approach and sensitivity theory methods are used to construct algorithms for solving the problems of environmental forecast and design. When studying the behavior of the model in the parameter space, sensitivity functions are calculated as partial derivatives of the target functionals with respect to the model parameters. The sensitivity functions are used to investigate the properties of mathematical models and solve inverse problems. Using the proposed approach, which involves a model of air quality of the Novosibirsk agglomeration and an algorithm based on an ensemble of sensitivity functions, the inverse problem of estimating the position and intensity of pollution sources is solved.</description><subject>Air quality</subject><subject>Algorithms</subject><subject>Applications of Mathematics</subject><subject>Classical and Continuum Physics</subject><subject>Classical Mechanics</subject><subject>Fluid- and Aerodynamics</subject><subject>Functionals</subject><subject>Geophysical methods</subject><subject>Geophysics</subject><subject>Hydrothermodynamics</subject><subject>Inverse problems</subject><subject>Mathematical Modeling and Industrial Mathematics</subject><subject>Mathematical models</subject><subject>Mechanical Engineering</subject><subject>Parameter sensitivity</subject><subject>Physics</subject><subject>Physics and Astronomy</subject><subject>Pollution sources</subject><issn>0021-8944</issn><issn>1573-8620</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kEtLw0AUhQdRsFZ_gLsB19F55dFlKdoWWlSi6zCPm3ZKkqkzSSH_3oQKLkTu4nI53zkXDkL3lDxSysVTTgij2UwIOiNsnAs0oXHKoyxh5BJNRjka9Wt0E8KBEDLLaDpBfgvt3pmAS-dx3namt80Ot3vAOTTBtvZk2x67Es-tx--drMZz6wxUAcvG4HVzAh8Av3mnKqjDiC7BHfd9sFpWeNUb74Y4XzvTN7K2Otyiq1JWAe5-9hR9vjx_LFbR5nW5Xsw3keY0aSMoBRcq1VozU6Yii0ETI5NYpCY2LOaEKZOCYDxJOFBpVFoC1UrpTEuVQcKn6OGce_Tuq4PQFgfX-WZ4WTDGYzoUk_GBomdKexeCh7I4eltL3xeUFGO1xZ9qBw87e8LANjvwv8n_m74BbD19NA</recordid><startdate>20190301</startdate><enddate>20190301</enddate><creator>Penenko, V. V.</creator><creator>Penenko, A. V.</creator><creator>Tsvetova, E. A.</creator><creator>Gochakov, A. V.</creator><general>Pleiades Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20190301</creationdate><title>Methods for Studying the Sensitivity of Air Quality Models and Inverse Problems of Geophysical Hydrothermodynamics</title><author>Penenko, V. V. ; Penenko, A. V. ; Tsvetova, E. A. ; Gochakov, A. V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-ef434b7ccc2df7485ec0da6547d5d25302bd7e423663e1adb7fe1cbbc8cab8e63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Air quality</topic><topic>Algorithms</topic><topic>Applications of Mathematics</topic><topic>Classical and Continuum Physics</topic><topic>Classical Mechanics</topic><topic>Fluid- and Aerodynamics</topic><topic>Functionals</topic><topic>Geophysical methods</topic><topic>Geophysics</topic><topic>Hydrothermodynamics</topic><topic>Inverse problems</topic><topic>Mathematical Modeling and Industrial Mathematics</topic><topic>Mathematical models</topic><topic>Mechanical Engineering</topic><topic>Parameter sensitivity</topic><topic>Physics</topic><topic>Physics and Astronomy</topic><topic>Pollution sources</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Penenko, V. V.</creatorcontrib><creatorcontrib>Penenko, A. V.</creatorcontrib><creatorcontrib>Tsvetova, E. A.</creatorcontrib><creatorcontrib>Gochakov, A. V.</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of applied mechanics and technical physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Penenko, V. V.</au><au>Penenko, A. V.</au><au>Tsvetova, E. A.</au><au>Gochakov, A. V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Methods for Studying the Sensitivity of Air Quality Models and Inverse Problems of Geophysical Hydrothermodynamics</atitle><jtitle>Journal of applied mechanics and technical physics</jtitle><stitle>J Appl Mech Tech Phy</stitle><date>2019-03-01</date><risdate>2019</risdate><volume>60</volume><issue>2</issue><spage>392</spage><epage>399</epage><pages>392-399</pages><issn>0021-8944</issn><eissn>1573-8620</eissn><abstract>Variational approach and sensitivity theory methods are used to construct algorithms for solving the problems of environmental forecast and design. When studying the behavior of the model in the parameter space, sensitivity functions are calculated as partial derivatives of the target functionals with respect to the model parameters. The sensitivity functions are used to investigate the properties of mathematical models and solve inverse problems. Using the proposed approach, which involves a model of air quality of the Novosibirsk agglomeration and an algorithm based on an ensemble of sensitivity functions, the inverse problem of estimating the position and intensity of pollution sources is solved.</abstract><cop>Moscow</cop><pub>Pleiades Publishing</pub><doi>10.1134/S0021894419020202</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0021-8944 |
| ispartof | Journal of applied mechanics and technical physics, 2019-03, Vol.60 (2), p.392-399 |
| issn | 0021-8944 1573-8620 |
| language | eng |
| recordid | cdi_proquest_journals_2235162083 |
| source | SpringerLink Journals - AutoHoldings |
| subjects | Air quality Algorithms Applications of Mathematics Classical and Continuum Physics Classical Mechanics Fluid- and Aerodynamics Functionals Geophysical methods Geophysics Hydrothermodynamics Inverse problems Mathematical Modeling and Industrial Mathematics Mathematical models Mechanical Engineering Parameter sensitivity Physics Physics and Astronomy Pollution sources |
| title | Methods for Studying the Sensitivity of Air Quality Models and Inverse Problems of Geophysical Hydrothermodynamics |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T04%3A34%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Methods%20for%20Studying%20the%20Sensitivity%20of%20Air%20Quality%20Models%20and%20Inverse%20Problems%20of%20Geophysical%20Hydrothermodynamics&rft.jtitle=Journal%20of%20applied%20mechanics%20and%20technical%20physics&rft.au=Penenko,%20V.%20V.&rft.date=2019-03-01&rft.volume=60&rft.issue=2&rft.spage=392&rft.epage=399&rft.pages=392-399&rft.issn=0021-8944&rft.eissn=1573-8620&rft_id=info:doi/10.1134/S0021894419020202&rft_dat=%3Cproquest_cross%3E2235162083%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2235162083&rft_id=info:pmid/&rfr_iscdi=true |