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<bibitem type="A">   <ARLID>0572059</ARLID> <utime>20250526121214.4</utime><mtime>20230522235959.9</mtime>    <DOI>10.5194/egusphere-egu23-12619</DOI>           <title language="eng" primary="1">Spatio-temporal inversion of atmospheric microplastics emmisions using block-coordinate descent method</title>  <specification> <page_count>1 s.</page_count> <media_type>E</media_type> </specification>   <serial><ARLID>cav_un_epca*0572061</ARLID><title>EGU General Assembly 2023</title><part_num/><part_title/><publisher><place>Munich</place><name>The European Geosciences Union</name><year>2023</year></publisher></serial>    <keyword>emission profiles</keyword>   <keyword>airborne microplastics</keyword>    <author primary="1"> <ARLID>cav_un_auth*0267768</ARLID> <name1>Tichý</name1> <name2>Ondřej</name2> <institution>UTIA-B</institution> <full_dept language="cz">Adaptivní systémy</full_dept> <full_dept language="eng">Department of Adaptive Systems</full_dept> <department language="cz">AS</department> <department language="eng">AS</department> <full_dept>Department of Adaptive Systems</full_dept> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0101207</ARLID> <name1>Šmídl</name1> <name2>Václav</name2> <institution>UTIA-B</institution> <full_dept language="cz">Adaptivní systémy</full_dept> <full_dept>Department of Adaptive Systems</full_dept> <department language="cz">AS</department> <department>AS</department> <full_dept>Department of Adaptive Systems</full_dept> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0363740</ARLID> <name1>Evangeliou</name1> <name2>N.</name2> <country>NO</country> </author>   <source> <url>http://library.utia.cas.cz/separaty/2023/AS/tichy-0572059.pdf</url> </source>        <cas_special> <project> <project_id>GA20-27939S</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0391986</ARLID> </project>  <abstract language="eng" primary="1">We propose an inversion methodology that allows to estimate large-scale spatio-temporal emission profiles from deposition measurements of airborne microplastics from the Western USA.</abstract>    <action target="WRD"> <ARLID>cav_un_auth*0450272</ARLID> <name>EGU General Assembly 2023</name> <dates>20230423</dates> <unknown tag="mrcbC20-s">20230428</unknown> <place>Vídeň</place> <country>AT</country>  </action>   <reportyear>2024</reportyear>      <num_of_auth>3</num_of_auth>  <unknown tag="mrcbC52"> 4 O 4o 20250526121214.4 </unknown> <presentation_type> PO </presentation_type> <inst_support> RVO:67985556 </inst_support>  <permalink>https://hdl.handle.net/11104/0342939</permalink>  <unknown tag="mrcbC61"> 1 </unknown>  <confidential>S</confidential>        <arlyear>2023</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: 0572059.pdf </unknown>    <unknown tag="mrcbU14"> SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0572061 EGU General Assembly 2023 Munich The European Geosciences Union 2023 </unknown> </cas_special> </bibitem>