Modeling Mean Radiant Temperature Distribution in Urban Landscapes Using DART
The microclimatic conditions of the urban environment influence significantly the thermal comfort of human beings. One of the main human biometeorology parameters of thermal comfort is the Mean Radiant Temperature (Tmrt), which quantifies effective radiative flux reaching a human body. Simulation to...
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doaj-19c1cb9217e649cba10d9f6fa1a2ef732021-04-08T23:03:38ZengMDPI AGRemote Sensing2072-42922021-04-01131443144310.3390/rs13081443Modeling Mean Radiant Temperature Distribution in Urban Landscapes Using DARTMaria Angela Dissegna0Tiangang Yin1Hao Wu2Nicolas Lauret3Shanshan Wei4Jean-Philippe Gastellu-Etchegorry5Adrienne Grêt-Regamey6Future Cities Laboratory, Singapore ETH Center, 1 CREATE Way, Singapore 138602, SingaporeEarth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USAFuture Cities Laboratory, Singapore ETH Center, 1 CREATE Way, Singapore 138602, SingaporeCentre d’Etudes Spatiales de la BIOsphère (CESBIO)—UPS, CNES, CNRS, IRD, Université de Toulouse, CEDEX 9, 31401 Toulouse, FranceSingapore–MIT Alliance for Research and Technology, Singapore 138602, SingaporeCentre d’Etudes Spatiales de la BIOsphère (CESBIO)—UPS, CNES, CNRS, IRD, Université de Toulouse, CEDEX 9, 31401 Toulouse, FranceFuture Cities Laboratory, Singapore ETH Center, 1 CREATE Way, Singapore 138602, SingaporeThe microclimatic conditions of the urban environment influence significantly the thermal comfort of human beings. One of the main human biometeorology parameters of thermal comfort is the Mean Radiant Temperature (Tmrt), which quantifies effective radiative flux reaching a human body. Simulation tools have proven useful to analyze the radiative behavior of an urban space and its impact on the inhabitants. We present a new method to produce detailed modeling of Tmrt spatial distribution using the 3-D Discrete Anisotropic Radiation Transfer model (DART). Our approach is capable to simulate Tmrt at different scales and under a range of parameters including the urban pattern, surface material of ground, walls, roofs, and properties of the vegetation (coverage, shape, spectral signature, Leaf Area Index and Leaf Area Density). The main advantages of our method are found in (1) the fine treatment of radiation in both short-wave and long-wave domains, (2) detailed specification of optical properties of urban surface materials and of vegetation, (3) precise representation of the vegetation component, and (4) capability to assimilate 3-D inputs derived from multisource remote sensing data. We illustrate and provide a first evaluation of the method in Singapore, a tropical city experiencing strong Urban Heat Island effect (UHI) and seeking to enhance the outdoor thermal comfort. The comparison between DART modelled and field estimated Tmrt shows good agreement in our study site under clear-sky condition over a time period from 10:00 to 19:00 (R<sup>2</sup> = 0.9697, RMSE = 3.3249). The use of a 3-D radiative transfer model shows promising capability to study urban microclimate and outdoor thermal comfort with increasing landscape details, and to build linkage to remote sensing data. Our methodology has the potential to contribute towards optimizing climate-sensitive urban design when combined with the appropriate tools.https://www.mdpi.com/2072-4292/13/8/1443mean radiant temperatureDART3-D urban landscapesurban vegetationurban microclimateoutdoor thermal comfort |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Maria Angela Dissegna Tiangang Yin Hao Wu Nicolas Lauret Shanshan Wei Jean-Philippe Gastellu-Etchegorry Adrienne Grêt-Regamey |
spellingShingle |
Maria Angela Dissegna Tiangang Yin Hao Wu Nicolas Lauret Shanshan Wei Jean-Philippe Gastellu-Etchegorry Adrienne Grêt-Regamey Modeling Mean Radiant Temperature Distribution in Urban Landscapes Using DART Remote Sensing mean radiant temperature DART 3-D urban landscapes urban vegetation urban microclimate outdoor thermal comfort |
author_facet |
Maria Angela Dissegna Tiangang Yin Hao Wu Nicolas Lauret Shanshan Wei Jean-Philippe Gastellu-Etchegorry Adrienne Grêt-Regamey |
author_sort |
Maria Angela Dissegna |
title |
Modeling Mean Radiant Temperature Distribution in Urban Landscapes Using DART |
title_short |
Modeling Mean Radiant Temperature Distribution in Urban Landscapes Using DART |
title_full |
Modeling Mean Radiant Temperature Distribution in Urban Landscapes Using DART |
title_fullStr |
Modeling Mean Radiant Temperature Distribution in Urban Landscapes Using DART |
title_full_unstemmed |
Modeling Mean Radiant Temperature Distribution in Urban Landscapes Using DART |
title_sort |
modeling mean radiant temperature distribution in urban landscapes using dart |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2021-04-01 |
description |
The microclimatic conditions of the urban environment influence significantly the thermal comfort of human beings. One of the main human biometeorology parameters of thermal comfort is the Mean Radiant Temperature (Tmrt), which quantifies effective radiative flux reaching a human body. Simulation tools have proven useful to analyze the radiative behavior of an urban space and its impact on the inhabitants. We present a new method to produce detailed modeling of Tmrt spatial distribution using the 3-D Discrete Anisotropic Radiation Transfer model (DART). Our approach is capable to simulate Tmrt at different scales and under a range of parameters including the urban pattern, surface material of ground, walls, roofs, and properties of the vegetation (coverage, shape, spectral signature, Leaf Area Index and Leaf Area Density). The main advantages of our method are found in (1) the fine treatment of radiation in both short-wave and long-wave domains, (2) detailed specification of optical properties of urban surface materials and of vegetation, (3) precise representation of the vegetation component, and (4) capability to assimilate 3-D inputs derived from multisource remote sensing data. We illustrate and provide a first evaluation of the method in Singapore, a tropical city experiencing strong Urban Heat Island effect (UHI) and seeking to enhance the outdoor thermal comfort. The comparison between DART modelled and field estimated Tmrt shows good agreement in our study site under clear-sky condition over a time period from 10:00 to 19:00 (R<sup>2</sup> = 0.9697, RMSE = 3.3249). The use of a 3-D radiative transfer model shows promising capability to study urban microclimate and outdoor thermal comfort with increasing landscape details, and to build linkage to remote sensing data. Our methodology has the potential to contribute towards optimizing climate-sensitive urban design when combined with the appropriate tools. |
topic |
mean radiant temperature DART 3-D urban landscapes urban vegetation urban microclimate outdoor thermal comfort |
url |
https://www.mdpi.com/2072-4292/13/8/1443 |
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