DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Modelling air-pollution in Beijing: Emission reduction vs. meteorological influence

Risse, Eicke-Alexander (2016) Modelling air-pollution in Beijing: Emission reduction vs. meteorological influence. Master's, Technische Universität Berlin.

Full text not available from this repository.


This Master Thesis is a case study to evaluate the effects of temporary emission reductions on air quality under different meteorological conditions. Four cases of the area surrounding Beijing are simulated using a 3-D regional chemical transport model (WRF-Chem) and a meta-comparison is performed considering PM2.5 as exemplary chemical species. Two cases reflecting real conditions of meteorology, trace gases and aerosols are simulated to match with corresponding observations of Aerosol Optical Depth (AOD) and meteorological conditions. Those are then compared to another two hypothetical cases with increased/reduced emissions from the same time and location. A meta-comparison then shows the impact of meteorological conditions that are favourable or unfavourable to reduced air pollution on the efficiency of emission-control measurements.

Item URL in elib:https://elib.dlr.de/110908/
Document Type:Thesis (Master's)
Title:Modelling air-pollution in Beijing: Emission reduction vs. meteorological influence
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Risse, Eicke-Alexandereicke.risse (at) web.deUNSPECIFIED
Date:April 2016
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Number of Pages:59
Keywords:Air pollution, air quality, meteorological modelling, regional transport model, WRF-Chem, emission reductions, aerosols, trace gases
Institution:Technische Universität Berlin
Department:Institut für Strömungsmechanik und Technische Akustik
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben Ozon-SAF (old), R - Vorhaben Spektrometrische Verfahren und Konzepte der Fernerkundung (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Trautmann, Prof.Dr. Thomas
Deposited On:27 Jan 2017 11:58
Last Modified:27 Jan 2017 11:58

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.