The　objective　of　this　paper　is　to　propose　a　hybrid　approach　for　the　source　apportionment　of　primary　and　secondary　species　of　PM2.5　in　the　city　of　Tangshan.　The　receptor-based　PMF　(Positive　Matrix　Factorization)　is　integrated　with　the　emission　inventory　(EI)　to　form　the　first　hybrid　method　for　the　source　apportionment　of　the　primary　species.　The　hybrid　CAMx-PSAT-CP　(Comprehensive　Air　Quality　Model　with　Extensions　-　Particulate　Source　Apportionment　Technology　-　Chemical　Profile)　approach　is　then　proposed　and　used　for　the　source　apportionment　of　the　secondary　species.　The　PM2.5　sources　identified　for　Tangshan　included　the　soil　dust,　the　metallurgical　industry,　power　plants,　coal-fired　boilers,　vehicles,　cement　production,　and　other　sources.　It　is　indicated　that　the　PM2.5　pollution　is　a　regional　issue.　Among　all　the　identified　sources,　the　metallurgy　industry　was　the　biggest　contribution　source　to　PM2.5,　followed　by　coal-fired　boilers,　vehicles　and　soil　dust.　The　other-source　category　plays　a　crucial　role　for　PM2.5,　particularly　for　the　formation　of　secondary　species　and　aerosols,　and　these　other　sources　include　non-specified　sources　such　as　agricultural　activities,　biomass　combustion,　residential　emissions,　etc.　The　source　apportionment　results　could　help　the　local　authorities　make　sound　policies　and　regulations　to　better　protect　the　citizens　from　the　local　and　regional　PM2.5　pollution.　The　study　also　highlights　the　strength　of　utilizing　the　proposed　hybrid　approaches　in　the　identification　of　PM2.5　sources.　The　techniques　used　in　this　study　show　considerable　promise　for　further　application　to　other　regions　as　well　as　to　identify　other　source　categories　of　PM2.5.　(C)　Higher　Education　Press　and　Springer-Verlag　Berlin　Heidelberg　2016