Table 6.

Smoke correction linear regression parameters ^a, adjusted r², MAE, and NRMSE. Optimal smoke correction in bold.

Sensor	C	β	βT	βRH	Adjusted r2	MAE (µg/m3)	NRMSE (%)
AQY					0.90	39.4	167.1
	7.56	0.41			0.90	8.90	31.0
	13.48	0.42	−0.327		0.91	8.89	30.3
	8.71	0.41		0.429	0.93	8.13	26.9
	−36.7	0.38	0.809	0.782	0.93	7.52	25.1
PA (cf = atm)					0.97	26.3	52.2
	−7.96	0.79			0.97	7.68	18.7
	−16.06	0.79	0.351		0.97	7.30	16.0
	−1.93	0.80		−0.206	0.97	7.37	16.2
	−13.68	0.79	0.300	−0.041	0.97	7.29	16.0
PA (cf = 1)					0.97	66.2	143.3
	−3.21	0.51			0.97	7.61	16.9
	−9.43	0.51	0.270		0.97	7.49	16.6
	3.18	0.52		−0.216	0.97	7.36	16.4
	3.27	0.52	−0.002	−0.218	0.97	7.36	16.4
RAMP					0.89	15.8	80.5
	−1.38	0.57			0.89	6.40	28.3
	−0.94	0.57	0.164		0.90	6.27	28.0
	−3.16	0.56		−0.063	0.90	6.28	27.7
	−2.54	0.57	0.135	−0.028	0.90	6.22	27.6

^a PM_2.5 = C + β sensor PM_2.5 + β_T sensor Temperature (°) + β_RH sensor RH (%).