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Maximizing the ENVI-met Capability of Modelling the Mean Radiant Temperature of a Tropical Archaeological Site
Author(s) -
Floriberta Binarti,
Koerniawan,
Sugeng Triyadi,
Sentagi Sesotya Utami
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/541/1/012005
Subject(s) - thermometer , environmental science , mean radiant temperature , meteorology , field (mathematics) , remote sensing , image resolution , atmospheric sciences , computer science , geography , mathematics , physics , geology , climate change , artificial intelligence , oceanography , quantum mechanics , pure mathematics
ENVI-met is one of the most widely-used outdoor microclimatic models. Since previous studies found that ENVI-met tends to overestimate the MRT, this study attempted to maximize the ENVI-met capability of modelling the MRT in order to obtain accurate simulation results. This study developed three variations of the 3D-model and employed some features to improve the large MRT discrepancy between the field measurement and simulation that resulted from the preliminary model. The field MRT measurements were conducted using a globe-thermometer method on two hot days, i.e., September 21 and October 17. After comparing the results of field measurements and simulations, this study came into a conclusion that the current free version software is capable of performing MRT predictions with a low discrepancy (5%) by using “Solar Adjustment Factor” and “Cloud Conditions” features (19.7% improvement), and maximizing the spatial resolution. The spatial resolution in z-axis decreases the discrepancy by 2.5%.

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