2007
DOI: 10.1016/j.buildenv.2005.10.031
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Determination of bioclimatic comfort in three different land uses in the city of Erzurum, Turkey

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Cited by 74 publications
(57 citation statements)
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“…Although there are many complex and multi-variant based methods for determining bioclimatic comfort, one of the best indices for estimating the effective temperature is the DI index [50], also known as Thom's discomfort index (THI) [36]. This index is based on the effective temperature and humidity conditions and describes the degree of discomfort by categories covering the whole spectrum from cold to tropical climates.…”
Section: Discomfort Indexmentioning
confidence: 99%
“…Although there are many complex and multi-variant based methods for determining bioclimatic comfort, one of the best indices for estimating the effective temperature is the DI index [50], also known as Thom's discomfort index (THI) [36]. This index is based on the effective temperature and humidity conditions and describes the degree of discomfort by categories covering the whole spectrum from cold to tropical climates.…”
Section: Discomfort Indexmentioning
confidence: 99%
“…Studies show that the world is experiencing rapid urbanisation, with 45% of all the population already living in urban areas as of year 2000 (Arnfield 2003). Urban is defined as an environment where the density of population and economic activities are more than in other places with higher rate of destruction of natural resources (Toy et al, 2007).…”
Section: Introductionmentioning
confidence: 99%
“…These values were used for the calculation of the average hourly values of a simple index (Toy et al, 2007), the thermohygrometric index (THI), at each study site, according to the following equation:…”
Section: Methodsmentioning
confidence: 99%
“…Average THI values were used for the evaluation of bioclimatic conditions (Table 2) as modified from Toy et al (2007). It has been reported that the discomfort levels of a precursor index, the Thom's index, were predicted in the Greater Athens Area using artificial neural network models during the hot season of the year (Vouterakos et al, 2012).…”
Section: Bioclimatic Conditions Under Different Ground Cover Types 257mentioning
confidence: 99%