Project: Research project

Project Details


ASPHALT PAVEMENTS TEMPERATURE EFFECTS ON OVERALL URBAN HEAT ISLAND ASPHALT PAVEMENTS TEMPERATURE EFFECTS ON OVERALL URBAN HEAT ISLAND This task will include a thorough review of existing literature pertaining to air temperature modeling as a function of adjacent surface temperature. Existing models and software will be evaluated on the ability to predict near surface air temperatures. Recent work at UC-Berkley produced a finite element model to predict near surface air temperatures as a function of pavement material properties (1). At the time of publication, this model had not been calibrated with actual data. A review of this model and input parameters will be conducted as part of this task. In addition, software such as Envi-Met is capable of predicting microclimatic temperature as a function of surrounding influences (2). These types of software will also be evaluated. Recent TRB publications and papers will be also reviewed and evaluated under this effort. Task 2: Collect near surface air temperature for various pavement types. A pilot, but limited, study to collect air temperature as a function of different pavement surfaces was recently conducted at ASU in Phase I. Task 2 will entail refinement of the data acquisition equipment and additional data collection. Near surface air temperature as a function of height will be collected on PCC and HMA pavements near the ASU campus and the City of Tempe. Of interest will be to establish the heat loss near surface and any apparent minimal effect on the temperature at 5 ft. of the surface temperature. In addition, hourly temperature data from nearby (urban and non-urban) weather stations will be collected for comparative purposes. Weather data collection should also include relative humidity, wind speed and direction. Furthermore, the reflectivity, SRI, as well as the thermal properties of the of the pavement sections selected should be identified and/or measured. The ASU research team will develop a work plan at the beginning of this task and get some feedback and comments from the APA project panel prior to proceed with the field data collection. Things that need to be considered include pavement make-up and temperature data collection at depth within the pavement structure. In addition, the FHWA program (LTPPBind) will be used and compared to the models and temperatures measured under this phase. However, keep in mind that the LTPPBind uses regression equations that approximate temperatures based on latitude as a variable. It is understood that this may be a useful feature for possible incorporation into other existing models.
Effective start/end date3/1/122/28/13


  • National Asphalt Pavement Association: $70,000.00


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