Loris Colombo

Dr. Loris Colombo

Department of Civil and Environmental Engineering, Politecnico di Milano, 20133 Milano, Italy
orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2019 in Science of The Total Environment
Verified
Journal Article
Closed access
AAArianna Azzellino
Arianna Azzellino
Loris ColomboLoris Colombo
Loris Colombo
SLSilvia Lombi
Silvia Lombi
VMValeria Marchesi
Valeria Marchesi
APAlessandra Piana
Alessandra Piana
Luca AlbertiLuca Alberti
Luca Alberti

1 April 2018 in Science of The Total Environment
Verified
Journal Article
Closed access
LALuca Alberti
Luca Alberti
Loris ColomboLoris Colombo
Loris Colombo
GFGiovanni Formentin
Giovanni Formentin

1 September 2018 in Tunnelling and Underground Space Technology
Verified
Journal Article
Closed access
Loris ColomboLoris Colombo
Loris Colombo
PGP. Gattinoni
P. Gattinoni
LSL. Scesi
L. Scesi

22 April 2023 in Atmosphere
Verified
Journal Article
Open access
PDF file
GVGiorgio Veratti
Giorgio Veratti
michele stortinimichele stortini
michele stortini
RARoberta Amorati
Roberta Amorati
LBLidia Bressan
Lidia Bressan
GGGiulia Giovannini
Giulia Giovannini
SPSilvia Pillon
Silvia Pillon
Air quality in Europe continues to remain poor in many areas, with regulation limits often exceeded by many countries. The EU Life-IP PREPAIR Project, involving administrations and environmental protection agencies of eight regions and three municipalities in Northern Italy and Slovenia, was designed to support the implementation of the regional air quality plans in the Po Valley, one of the most critical areas in Europe in terms of pollution levels. In this study, four air quality modelling systems, based on three chemical transport models (CHIMERE, FARM and CAMx) were applied over the Po Valley to assess the sensitivity of PM2.5 concentrations to NOx and NH3 emission reductions. These two precursors were reduced (individually and simultaneously) from 25% up to 75% for a total of 10 scenarios, aimed at identifying the most efficient emission reduction strategies and to assess the non-linear response of PM2.5 concentrations to precursor changes. The multi-model analysis shows that reductions across multiple emission sectors are necessary to achieve optimal results. In addition, the analysis of non-linearities revealed that during the cold season, the efficiency of PM2.5 abatement tends to increase by increasing the emission reductions, while during summertime, the same efficiency remains almost constant, or slightly decreases towards higher reduction strengths. Since the concentrations of PM2.5 are greater in winter than in summer, it is reasonable to infer that significant emission reductions should be planned to maximise reduction effectiveness.


1 December 2020 in Energy Conversion and Management
Verified
Journal Article
Closed access
Matteo AntelmiMatteo Antelmi
Matteo Antelmi
Luca AlbertiLuca Alberti
Luca Alberti
Adriana AngelottiAdriana Angelotti
Adriana Angelotti
SCSara Curnis
Sara Curnis
AZAndrea Zille
Andrea Zille
Loris ColomboLoris Colombo
Loris Colombo