Predictive modeling the effect of Local Climate Zones (LCZ) on the urban meteorology in a tropical andean area

Simple item page
dc.catalogadorgrr
dc.contributor.authorMancheno Dominguez, Gabriela Alejandra
dc.contributor.authorCastro Molinare, Julio Enrique
dc.contributor.authorJorquera, Héctor
dc.contributor.otherCEDEUS (Chile)
dc.date.accessioned2024-09-12T19:33:58Z
dc.date.available2024-09-12T19:33:58Z
dc.date.issued2024
dc.description.abstractThe Weather Research & Forecasting Model (WRF, Version 4.4) was applied to simulate meteorological conditions in the city of Quito, Ecuador, located in a tropical Andean landscape. These simulations included the urban canopy into WRF, using the Building Environment Parameterization (BEP) scheme combined with Local Climate Zones (LCZ) land use classification; the innermost domain had a horizontal resolution of 2 km. The simulation results showed that using LCZ + BEP options improved the representation of wind speed and planetary boundary layer height (PBLH), in comparison with WRF counter fact simulations which did not use BEP. For temperature and relative humidity, implementation of LCZ did not improve WRF simulations with respect to those counter fact simulations. This may be ascribed to the use of the default LCZ thermophysical parameters, suggesting the need for gathering local built environment features. The best WRF configuration found for wind speed was the one that combined BEP scheme, LCZ land use and the Yonsei University (YSU) PBL model with topographic option activated; this happened for dry and wet seasons and for the unique meteorological conditions in December. Regarding PBLH modeling, the best configurations were YSU-BEP-LCZ (December), MYJ-BEP-LCZ (April, wet season) and YSU (August, dry season). The findings showed the major influence of urban canopy - described by LCZ - on wind circulation and PBLH simulated within the city at high horizontal resolution (2 km). This effect should be considered when modeling atmospheric pollutant dispersion, choosing urban development strategies, and analyzing prospective climate change scenarios, among other goals.
dc.fuente.origenWOS
dc.identifier.doi10.1007/s40808-024-02121-0
dc.identifier.eissn2363-6211
dc.identifier.issn2363-6203
dc.identifier.scopusidSCOPUS_ID:2-s2.0-85200998784
dc.identifier.urihttps://doi.org/10.1007/s40808-024-02121-0
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/87860
dc.identifier.wosidWOS:001286373300001
dc.information.autorucEscuela de Ingeniería; Mancheno Dominguez, Gabriela Alejandra; 0009-0007-2013-4443; 1092012
dc.information.autorucEscuela de Ingeniería; Castro Molinare, Julio Enrique; 0000-0002-3357-783X; 8299
dc.information.autorucEscuela de Ingeniería; Jorquera, Héctor ; 0000-0002-7462-7901; 100302
dc.language.isoen
dc.nota.accesocontenido parcial
dc.publisherSpringer Heidelberg
dc.revistaModeling Earth systems and Environment
dc.rightsacceso restringido
dc.subjectComplex tropical topography
dc.subjectBuilt environment
dc.subjectUrban meteorology
dc.subjectUrban Canopy
dc.subjectLocal climate zones
dc.subjectWRF
dc.subject.ddc600
dc.subject.deweyTecnologíaes_ES
dc.subject.ods11 Sustainable cities and communities
dc.subject.ods13 Climate action
dc.subject.odspa11 Ciudades y comunidades sostenibles
dc.subject.odspa13 Acción por el clima
dc.titlePredictive modeling the effect of Local Climate Zones (LCZ) on the urban meteorology in a tropical andean area
dc.typeartículo
sipa.codpersvinculados1092012
sipa.codpersvinculados8299
sipa.codpersvinculados100302
sipa.trazabilidadWOS;2024-08-17
Files
Collections
Artículos de revistas
CEDEUS