Coupling targeted monitoring, pathway-oriented data intensive modelling and fate process-based modelling to estimate emission loads and concentrations of trace pollutants in the Danube River Basin

Zoboli, Ottavia; Broer, Marianne Bertine; Gabriel, Oliver; van Gils, Jos; Loos, Sibren; Kittlaus, Steffen; Zessner, Matthias

doi:10.5194/egusphere-egu23-7290

Record link:

http://hdl.handle.net/20.500.12708/177164

Title:

Coupling targeted monitoring, pathway-oriented data intensive modelling and fate process-based modelling to estimate emission loads and concentrations of trace pollutants in the Danube River Basin

Citation:

Zoboli, O., Broer, M. B., Gabriel, O., van Gils, J., Loos, S., Kittlaus, S., & Zessner, M. (2023). Coupling targeted monitoring, pathway-oriented data intensive modelling and fate process-based modelling to estimate emission loads and concentrations of trace pollutants in the Danube River Basin. In EGU General Assembly 2023. EGU General Assembly 2023, Wien, Austria. EGU. https://doi.org/10.5194/egusphere-egu23-7290

CatalogPlus:

AC17204323

Publisher DOI:

10.5194/egusphere-egu23-7290

Publication Type:

Inproceedings - Abstract Book Contribution

Language:

English

Authors:

Zoboli, Ottavia
Broer, Marianne Bertine
Gabriel, Oliver
van Gils, Jos
Loos, Sibren
Kittlaus, Steffen
Zessner, Matthias

Organisational Unit:

E226-01 - Forschungsbereich Wassergütewirtschaft
E226 - Institut für Wassergüte und Ressourcenmanagement

Published in:

EGU General Assembly 2023

Date (published):

2023

Event name:

EGU General Assembly 2023

Event date:

23-Apr-2023 - 28-Apr-2023

Event place:

Wien, Austria

Number of Pages:

Publisher:

EGU

Keywords:

Coupling targeted monitoring; pathway-oriented data intensive modelling; fate process-based modelling; estimate emission loads; trace pollutants; Danube River Basin

Research Areas:

Sustainable Production and Technologies: 40%
Efficient Utilisation of Material Resources: 20%
Environmental Monitoring and Climate Adaptation: 40%

Science Branch:

2011 - Bauingenieurwesen: 50%
2071 - Umwelttechnik: 50%

License:

CC BY 4.0