A Linear Model for Moving Measurements Estimation in Urban Climate Studies

Abstract

<b>Problem statement:</b> Several methods can be adopted to study the variations in urban&#13; climate. The mobile measurement method is one of them, involving information provided by moving&#13; measurements of air temperature, that are taken in points defined along pre-established routes and also&#13; data from fixed-point temperature recording stations. Because moving measurements are made in&#13; different times along the measurement process, adjustments must be made in order to adequately&#13; analyze the air temperature measurements.<b> Approach: </b>Mobile measurements were taken in an urban&#13; area and contextualized in the domain of some fixed-point temperature recording stations. Therefore, a&#13; linear model proposed to investigate and represent the variables that influence moving measurements&#13; estimation in the urban context. <b>Results:</b> All proposed variables in the linear model were considered&#13; relevant, because all coefficients of the determined model were non null. Also, the identified model&#13; presents a good fit to the field data, as indicated by the resulting coefficient of determination (R²) that&#13; is 90.3%. <b>Conclusion/Recommendations:</b> The linear model described in this work is easy to apply,&#13; requiring few input variables. It is important to emphasize that the model was developed to estimate&#13; moving measurements as a function of fixed measurements and presents the potential to identify new&#13; input variables based on moving measurements, as shown by the fit among fixed and moving&#13; temperature measurements, in order to provide insight about other possible models of late time&#13; adjustment