Validation Tests for Air Temperature Prediction Model STEVE: An Example of Guangzhou
Wang Pin and Meng Qinglin
DOI:10.11835/j.issn.1674-4764.2013.04.024
Received ,Revised , Accepted , Available online July 01, 2015
Volume ,2013,Pages 151-160
- Abstract
STEVE（Screening Tool for Estate Environment Evaluation）is a statistical model through regression analysis. It can predict the air temperature by climate and urban morphology predictors for Singapore estate, while it hasn't been proved valid in other areas. Consequently, three groups of validation tests in Guangzhou area were conducted, one using the original data in the literature and the other two using experimental data from the field measurement. It is shown that STEVE tool can meet the engineering accuracy and can be used as a simple temperature prediction model tool in urban planning and design process in Guangzhou area and other cities with similar climate conditions. Besides, the STEVE tool can be optimized further to expand its applicable scope.