The Effect of Green Areas on Urban Microclimate: A University Campus Model Case DOI Creative Commons
Gülcay ERCAN OĞUZTÜRK,

Sude Sünbül,

Cem Alparslan

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(8), С. 4358 - 4358

Опубликована: Апрель 15, 2025

Urbanization and the reduction of green spaces have significantly contributed to problems such as rising temperatures declining air quality in urban areas. This study examines impact different types areas—broadleaved trees, coniferous shrubs, vines—on temperature regulation at Recep Tayyip Erdoğan University Zihni Derin Campus. Surface temperature, humidity, ambient wind speed measurements were collected using an infrared thermometer over a one-year period under various climatic conditions (August, October, January, April) times day (09:00 AM, 01:00 PM, 05:00 PM). To quantitatively assess cooling effect each type area, Response Methodology (RSM) was applied, predictive formula developed estimate areas environmental conditions. These formulated models enable estimation provided by these four plant based on input parameters, achieving accuracy approximately 92% or higher without requiring direct measurements. The findings this provide robust methodological framework practical tool for optimizing space designs, mitigating heat island effects, enhancing living comfort

Язык: Английский

The Effect of Green Areas on Urban Microclimate: A University Campus Model Case DOI Creative Commons
Gülcay ERCAN OĞUZTÜRK,

Sude Sünbül,

Cem Alparslan

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(8), С. 4358 - 4358

Опубликована: Апрель 15, 2025

Urbanization and the reduction of green spaces have significantly contributed to problems such as rising temperatures declining air quality in urban areas. This study examines impact different types areas—broadleaved trees, coniferous shrubs, vines—on temperature regulation at Recep Tayyip Erdoğan University Zihni Derin Campus. Surface temperature, humidity, ambient wind speed measurements were collected using an infrared thermometer over a one-year period under various climatic conditions (August, October, January, April) times day (09:00 AM, 01:00 PM, 05:00 PM). To quantitatively assess cooling effect each type area, Response Methodology (RSM) was applied, predictive formula developed estimate areas environmental conditions. These formulated models enable estimation provided by these four plant based on input parameters, achieving accuracy approximately 92% or higher without requiring direct measurements. The findings this provide robust methodological framework practical tool for optimizing space designs, mitigating heat island effects, enhancing living comfort

Язык: Английский

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