Dr. Martin Ramacher
Dr. Martin Ramacher
Chemistry Transport Modeling
ScientistPhone: +49 (0)4152 87-1561
Fax: +49 (0)4152 87-2332
My research is focused on the topics of exposure to pollutant concentrations, urban air quality simulations and local emission sources modeling, such as traffic, shipping, industry and residential heating.
This concludes:
- gathering and processing of big data to model representative emission inventories for relevant emission sources in high resolution and
- application of emission inventories in local-scale chemistry transport models to model pollutant concentrations and to identify source contributions as well as impacts of policy-based scenarios,
- calculate exposure estimates for health-effect studies based on dynamic population activities.
My goal is to inform the public and support policy decisions on air quality relevant topics, such as impacts on health, legislation scenarios and sector contributions.
Researchgate Profile
ORCID
2023
journal articleLocalizing SDG 11.6.2 via Earth Observation, Modelling Applications, and Harmonised City Definitions: Policy Implications on Addressing Air PollutionBailey, J.,Ramacher, M.,Speyer, O.,Athanasopoulou, E.,Karl, M.,Gerasopoulos, E. (2023)
In: Remote Sensing, Vol. 15, , , 4, 1082.
Link to publisher 2021
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2021
- conference lecture: Virtual; 19.04.2021 - 30.04.2021Air quality improvements caused by COVID-19 lockdown measures in Central Europe – contributions of emission sectors and the meteorological situationBadeke, R.,Matthias, V.,Quante, M.,Petrik, R.,Arndt, J.,Ramacher, M.,Schwarzkopf, D.,Fink, L.,Feldner, J.,Link, E. (2021)
In: EGU General Assembly 2021, Vol. , Virtual, 19.04.2021 - 30.04.2021, , . - conference paper: null; nullMulti-compartment Chemistry Transport ModelsBieser, J.,Ramacher, M. (2021)
In: Air Pollution Modeling and its Application XXVII. ITM 2019. Springer Proceedings in Complexity, Vol. , , , , 119-123. - conference paper: null; nullUrban Atmospheric Chemistry with the EPISODE-CityChem ModelKarl, M.,Ramacher, M. (2021)
In: Air Pollution Modeling and its Application XXVII. ITM 2019, Vol. , , , , 235-239.
2020
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