Research Article Open Access

A Linear Model for Moving Measurements Estimation in Urban Climate Studies

Claudia Cotrim Pezzuto1, Lucila Chebel Labaki1, Lia Toledo Moreira Mota1 and Alexandre Alexandre de Assis Mota1
  • 1 , Afganistan
American Journal of Applied Sciences
Volume 8 No. 7, 2011, 685-690

DOI: https://doi.org/10.3844/ajassp.2011.685.690

Submitted On: 28 April 2011 Published On: 24 June 2011

How to Cite: Pezzuto, C. C., Labaki, L. C., Mota, L. T. M. & Mota, A. A. A. (2011). A Linear Model for Moving Measurements Estimation in Urban Climate Studies. American Journal of Applied Sciences, 8(7), 685-690. https://doi.org/10.3844/ajassp.2011.685.690

Abstract

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

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Keywords

  • Late time adjustment
  • urban climate studies
  • air temperature
  • parameters estimation
  • temperature measurements
  • model presents
  • fixed-point temperature
  • mobile measurements
  • fixed-point temperature
  • interpolation methods
  • air temperature
  • area's morphology
  • model described