A quantitative structure–property relationship (QSPR) model which could predict
photodegradation half-lives (
t1/2) of chlorinated polycyclic aromatic hydrocarbons (ClPAHs) associated with particulates in the atmosphere was developed by applying quantum chemical parameters computed with quantum chemical PM3 algorithm and using a partial least squares (PLS) algorithm. The cross-validated
Q2cum value for the optimal QSPR model is 0.960, indicating a good predictive capability for log
t1/2 values of ClPAHs. The QSPR results show that the main factors affecting log
t1/2 values of ClPAHs are the energy of the second highest occupied molecular orbital (
ELUMO−1), the energy of the second highest occupied molecular orbital (
EHOMO+1), average molecular polarizability (
α), the most positive net atomic charges on a hydrogen atom (
), ELUMO+EHOMO, ELUMO−EHOMO, and (ELUMO−EHOMO)2. ClPAHs with high ELUMO−1, EHOMO+1, ELUMO−EHOMO, and (ELUMO−EHOMO)2 values tend to photolyze slowly in the atmosphere. In contrast, increasing ELUMO+EHOMO, α, and values leads to the increase of photodegradation rates.