The study aims to develop artificial neural networks for prediction of outdoor thermal comfort using meteorological parameters as input parameters. Universal Thermal Climate Index (UTCI) is used the target parameter. For this purpose, a total number 5088 hours field monitoring data was considered from four representative urban streets Gwalior city, India. First, linear association determined be...

An increase in urban vegetation is an often proposed mitigation strategy to reduce heat and improve outdoor thermal comfort (OTC). Vegetation can alter microclimate through changes air temperature, mean radiant humidity, wind speed. In this study, we model how street tree ground cover their structural, optical, interception, physiological traits control the diurnal cycle of OTC different densit...

In this study, the thermo-physiological wear comfort is mainly characterized by thermal and water vapor resistance performance of woven fabrics used as sportswear for outdoor activities. The commonly twill fabric with different thicknesses, weight, density are selected experimental analysis, it finds that weight thickness have crucial effects on resistance, depends linearly thickness. present s...