Hossain, S.M.K., Fu, L., Lu, C.(2013). Deicing Performance of Salts: Modeling and Applications. Transportation Research Record: Journal of the Transportation Research Board of National Academics. DOI: 10.3141/2440-10, vol. 2440, pp.76-84.
This paper describes the results of a field study aiming at quantifying the effects of various factors on the snow melting performance of salt. A large number of tests were conducted in a realistic environment over two winter seasons, covering more than 70 snow events, with temperatures ranging from -14°C to 3°C and snowfalls from ~0.2 cm to 21.0 cm. For each snow event, salts were applied to a set of test sections following specific application rates and time series performance and condition data were collected, such as snow coverage or bare pavement status, friction, pavement and air temperature, sky-view, and humidity. An exploratory data analysis was performed to identify the key factors influencing the snow melting performance of salt, such as application rate, temperature, and snow amount. A multiple linear regression model was calibrated for the relationship between the key snow melting performance indicators –bare pavement regain time and various influencing factors. The calibrated model was then applied to determine the minimum amount of salt required for achieving a given level of service under specific weather events. While the research was motivated by the need to develop optimal salt application rates for parking lots and sidewalks, the results could be equally applicable for other transportation facilities after facility specific factors, such as traffic and dilution, are accounted.