Details
| Original language | English |
|---|---|
| Pages (from-to) | 4443-4464 |
| Number of pages | 22 |
| Journal | Geoscientific Model Development |
| Volume | 14 |
| Issue number | 7 |
| Publication status | Published - 20 Jul 2021 |
Abstract
Sensitivity of the PALM model 6.0 with respect to land-surface and building properties is tested in a real urban environment in the vicinity of a typical crossroads in a densely built-up residential area in Prague, Czech Republic. The turbulence-resolving PALM is able to simulate the urban boundary layer flow for realistic setups. Besides an accurate representation of the relevant physical processes, the model performance also depends on the input data describing the urban setup, namely the building and land-surface properties. Two types of scenario are employed. The first one is the synthetic scenarios altering mainly surface and material parameters such as albedo, emissivity or wall conductivity, testing sensitivity of the model simulations to potentially erroneous input data. Second, urbanistic-type scenarios are analysed, in which commonly considered urban heat island mitigation measures such as greening of the streets or changing surface materials are applied in order to assess the limits of the effects of a particular type of scenario. For the synthetic scenarios, surface parameters used in radiation balance equations are found to be the most sensitive overall followed by the volumetric heat capacity and thermal conductivity of walls. Other parameters show a limited average effect; however, some can still be significant during some parts of the day, such as surface roughness in the morning hours. The second type, the urbanistic scenarios, shows urban vegetation to be the most effective measure, especially when considering both physical and biophysical temperature indicators. The influence of both types of scenario was also tested for air quality, specifically PM2.5 dispersion, which generally shows opposite behaviour to that of thermal indicators; i.e. improved thermal comfort brings deterioration of PM2.5 concentrations.
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
- General Earth and Planetary Sciences
- Mathematics(all)
- Modelling and Simulation
Sustainable Development Goals
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In: Geoscientific Model Development, Vol. 14, No. 7, 20.07.2021, p. 4443-4464.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Sensitivity analysis of the PALM model system 6.0 in the urban environment
AU - Belda, Michal
AU - Resler, Jaroslav
AU - Geletič, Jan
AU - Krč, Pavel
AU - Maronga, Björn
AU - Sühring, Matthias
AU - Kurppa, Mona
AU - Kanani-Sühring, Farah
AU - Fuka, Vladimir
AU - Eben, Kryštof
AU - Benešová, Nina
AU - Auvinen, Mikko
N1 - Funding Information: This research has been supported by the European structural and investment funds (grant no. CZ.07.1.02/0.0/0.0/16_040/0000383), the German Federal Ministry of Education and Research (grant no. 01LP1601A), and the Norway Grants and Technology Agency of the Czech Republic (Turbulent-resolving urban modeling of air quality and thermal comfort (grant no. TO01000219)). The simulations were performed on the HPC infrastructure of the Institute of Computer Science (ICS) of the Czech Academy of Sciences supported by the long-term strategic development financing of the ICS (RVO 67985807) and partly in the supercomputing centre IT4I which was supported by the Ministry of Education, Youth and Sports through the Large Infrastructures for Research, Experimental Development and Innovations project IT4Innovations National Supercomputing Center – LM2015070. Financial support was provided by the Operational Program Prague – Growth Pole of the Czech Republic project Urbanization of weather forecast, air-quality prediction and climate scenarios for Prague (CZ.07.1.02/0.0/0.0/16_040/0000383), which is co-financed by the EU. The co-authors Björn Maronga, Farah Kanani-Sühring and Matthias Sühring were supported by the German Federal Ministry of Education and Research (BMBF) under grant 01LP1601 within the framework of Research for Sustainable Development (FONA; https://www.fona.de/de/, last access: 27 May 2021). Financial support was also provided by the Norway Grants and Technology Agency of the Czech Republic project TO01000219: Turbulent-resolving urban modeling of air quality and thermal comfort.
PY - 2021/7/20
Y1 - 2021/7/20
N2 - Sensitivity of the PALM model 6.0 with respect to land-surface and building properties is tested in a real urban environment in the vicinity of a typical crossroads in a densely built-up residential area in Prague, Czech Republic. The turbulence-resolving PALM is able to simulate the urban boundary layer flow for realistic setups. Besides an accurate representation of the relevant physical processes, the model performance also depends on the input data describing the urban setup, namely the building and land-surface properties. Two types of scenario are employed. The first one is the synthetic scenarios altering mainly surface and material parameters such as albedo, emissivity or wall conductivity, testing sensitivity of the model simulations to potentially erroneous input data. Second, urbanistic-type scenarios are analysed, in which commonly considered urban heat island mitigation measures such as greening of the streets or changing surface materials are applied in order to assess the limits of the effects of a particular type of scenario. For the synthetic scenarios, surface parameters used in radiation balance equations are found to be the most sensitive overall followed by the volumetric heat capacity and thermal conductivity of walls. Other parameters show a limited average effect; however, some can still be significant during some parts of the day, such as surface roughness in the morning hours. The second type, the urbanistic scenarios, shows urban vegetation to be the most effective measure, especially when considering both physical and biophysical temperature indicators. The influence of both types of scenario was also tested for air quality, specifically PM2.5 dispersion, which generally shows opposite behaviour to that of thermal indicators; i.e. improved thermal comfort brings deterioration of PM2.5 concentrations.
AB - Sensitivity of the PALM model 6.0 with respect to land-surface and building properties is tested in a real urban environment in the vicinity of a typical crossroads in a densely built-up residential area in Prague, Czech Republic. The turbulence-resolving PALM is able to simulate the urban boundary layer flow for realistic setups. Besides an accurate representation of the relevant physical processes, the model performance also depends on the input data describing the urban setup, namely the building and land-surface properties. Two types of scenario are employed. The first one is the synthetic scenarios altering mainly surface and material parameters such as albedo, emissivity or wall conductivity, testing sensitivity of the model simulations to potentially erroneous input data. Second, urbanistic-type scenarios are analysed, in which commonly considered urban heat island mitigation measures such as greening of the streets or changing surface materials are applied in order to assess the limits of the effects of a particular type of scenario. For the synthetic scenarios, surface parameters used in radiation balance equations are found to be the most sensitive overall followed by the volumetric heat capacity and thermal conductivity of walls. Other parameters show a limited average effect; however, some can still be significant during some parts of the day, such as surface roughness in the morning hours. The second type, the urbanistic scenarios, shows urban vegetation to be the most effective measure, especially when considering both physical and biophysical temperature indicators. The influence of both types of scenario was also tested for air quality, specifically PM2.5 dispersion, which generally shows opposite behaviour to that of thermal indicators; i.e. improved thermal comfort brings deterioration of PM2.5 concentrations.
UR - http://www.scopus.com/inward/record.url?scp=85111159363&partnerID=8YFLogxK
U2 - 10.5194/gmd-2020-126
DO - 10.5194/gmd-2020-126
M3 - Article
VL - 14
SP - 4443
EP - 4464
JO - Geoscientific Model Development
JF - Geoscientific Model Development
SN - 1991-959X
IS - 7
ER -