A Quantile Regression Approach to Evaluate Factors Influencing Residential Indoor Radon Concentration

作者：Borgoni Riccardo^*

来源：Environmental Modeling & Assessment, 2011, 16(3): 239-250.

DOI：10.1007/s10666-011-9249-3

• Building factors
• Spatial quantile additive autoregression
• Spatial lag

Indoor radon concentrations depend on building characteristics such as building materials, ventilation and water supply. In this paper, a quantile regression approach is proposed to evaluate the effect of some buildings factors potentially influencing indoor radon concentration. Many of the considered factors, such as soil connection, age of construction and being a single family building, are found to have a statistically significant effect; however, this is far from being constant across the entire support of indoor radon concentration. A potential impact due to geological and geo-physical reasons is also found using the altitude of building locations as a surrogate variable. In addition, a clear local spatial effect is detected by a spatial autoregression approach.

• 出版日期2011-6