Table 3.

Estimates of $\mathit{\alpha }$ and $\mathit{\beta }$ parameters (and corresponding p-values) for the ITS models implemented for PM₁₀ time series. If the information is missing it means that the corresponding coefficient was not significantly different from zero and was removed from the model. Besides the covariate coefficients $\mathit{\beta }$, the following parameters are estimated: the intercept ${\alpha }_0$, the baseline trend slope ${\alpha }_1$ and the post-intervention level (trend slope) change ${\alpha }_2$ (${\alpha }_3$); see Eq. (1). In particular, ${\alpha }_0+{\alpha }_2+X_t\mathit{\beta }$ and ${\alpha }_1+{\alpha }_3$ represent the level and the trend slope after the lockdown, to be compared with ${\alpha }_0+X_t\mathit{\beta }$ and ${\alpha }_1$, respectively.

	Sensor ID
	6951		9961
	Est.	$p$-value	Est.	$p$-value
${\alpha }_0$	61.48	$<$0.001	85.72	$<$0.001
${\alpha }_1$	−0.25	0.0158	−0.44	$<$0.001
${\alpha }_2$	−77.40	0.1272	−41.17	0.319
${\alpha }_3$	0.96	0.1458	0.65	0.218
${\beta }_{temperature}$
${\beta }_{precipitation}$
${\beta }_{windspeed}$	−6.97	0.0024	−13.89	$<$0.001
${\beta }_{sunday}$			−7.88	$<$0.001