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Two stage inversion method for microplastics emission estimation
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SYSNO ASEP 0557855 Druh ASEP A - Abstrakt Zařazení RIV Záznam nebyl označen do RIV Zařazení RIV Není vybrán druh dokumentu Název Two stage inversion method for microplastics emission estimation Tvůrce(i) Tichý, Ondřej (UTIA-B) RID, ORCID
Evangeliou, N. (NO)
Šmídl, Václav (UTIA-B) RID, ORCIDCelkový počet autorů 3 Zdroj.dok. EGU General Assembly 2022. - Göttingen : European Geosciences Union, 2022 Poč.str. 1 s. Forma vydání Online - E Akce EGU General Assembly 2022 Datum konání 23.05.2022 - 27.05.2022 Místo konání Vienna / Online Země AT - Rakousko Typ akce WRD Jazyk dok. eng - angličtina Země vyd. DE - Německo Klíč. slova microplastics emission ; two-stage inversion algorithm ; FLEXPART Vědní obor RIV BC - Teorie a systémy řízení Obor OECD Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) CEP GA20-27939S GA ČR - Grantová agentura ČR Institucionální podpora UTIA-B - RVO:67985556 Anotace The goal of this contribution is to explore two-stage inversion algorithm for spatio-temporal emission estimation (2D and time) from deposition measurements of microplastics and microfibers from Western USA. We consider the linear inversion model formulated as y = M x , where y is the measurement vector, M is source-receptor-sensitivity matrix computed using
Lagrangian particle dispersion model FLEXPART, and x is the unknown emission vector from given spatial element. The inverse problem is typically ill-conditioned due to the measurements sparsity, hence, we propose two stage algorithm for inversion of this type. First, we run the inversion algorithm for the whole spatial domain, hence, we obtain averaged emission from each spatial element of the considered spatial domain. Second, we use the estimated emission from the first step (common for all spatial elements) as a prior emission in the second step where the inversion problem is considered for each spatial element separately. We demonstrate that this approach regularizes the inversion problem of spatio-temporal emission from sparse measurements, concretely on microplastics and microfibers emission estimation in Western USA.Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2023
Počet záznamů: 1