A multivariate linear regression model of mean maximum urban heat island: a case study of Beregszász (Berehove), Ukraine

A multivariate linear regression model of mean maximum urban heat island: a case study of Beregszász (Berehove), Ukraine

Szerző(k): László Elemér, Szegedi Sándor
Évszám: 2015

The aim of the research presented in this study is to elaborate a multivariate linear regression model that describes the spatial structure of the mean maximal development urban heat island (UHI) formed under favorable synoptic conditions on the basis of surface parameters. Temperature data were gathered in a small town, Beregszász, Zakarpattia, Ukraine. As a first step, a one-year-long UHI measurement campaign has been carried out using mobile techniques in order to obtain data for the description of the UHI in the study area. Two surface parameters (ratio of non- evaporating surfaces in the environment of the measurement sites and distance of measurement sites from the center of the settlement) have been selected first.

Eredeti fellelhetőség: mtmt.hu

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