Latest posts 5
The harmfulness of particulate air pollution in India is mostly driven by combustion activities 🔥
Thanks to @snsf_ch @SwissDevCoop for funding our research and sciences not only in Europe but also in locations which need it most 👏
Thanks to @snsf_ch @SwissDevCoop for funding our research and sciences not only in Europe but also in locations which need it most 👏
🚨 People in India suffer from extreme air pollutionView quoted post on X
Here, together with local colleagues, we identify and quantify the most harmful particulate air pollution sources ⬇️
@NatureComms @psich_en @IITKanpur @ImadElHaddad4 @AndrePrevot1111 @KasparDaellenb1
nature.com/articles/s4146…
Everyone: What features in chemical air quality data, do you think should in addition be used in new source apportionment algorithms?
In this very new paper, we could show that temporal autocorrelation helps improving source apportionment results of particulate air pollution resultsView quoted post on X
doi.org/10.5194/amt-17…
@snsf_ch #Ambizone
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In this very new paper, we could show that temporal autocorrelation helps improving source apportionment results of particulate air pollution results
doi.org/10.5194/amt-17…
@snsf_ch #Ambizone
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doi.org/10.5194/amt-17…
@snsf_ch #Ambizone
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amt.copernicus.org A novel probabilistic source apportionment approach: Bayesian auto-correlated matrix factorization Abstract. The concentrations of atmospheric particulate matter and many of its constituents are temporally auto-correlated. However, this information has not been utilized in source apportionment... Congratulations @Marta_Via_. Looking forward to working together on next generation data mining algorithms for source apportionment and to welcome you @PSI_LAC and @psich_en.View quoted post on X
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Congratulations @Marta_Via_. Looking forward to working together on next generation data mining algorithms for source apportionment and to welcome you @PSI_LAC and @psich_en.
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Today I started my postdoc at the @UNG_ungsi under the @SMASH_MSCA program! 🇸🇮
Very excited to launch the #UPSIDE project aiming to disentangle PM sources. 🪢
#postdoc #sourceapportionment #AirQualityView quoted post on X
