Scientific　control　is　urgently　required　to　address　O3　pollution　in　key　regions　of　China.　Therefore,　based　on　air　pollutant　concentrations　and　meteorological　datasets,　the　methods　including　distributed　lag　nonlinear　models,　Kolmogorov-Zurbenko　filter　and　stepwise　multiple　linear　regression　(SMLR)　were　applied　to　analyze　and　clarify　the　response　of　pollution　and　meteorological　factors　to　O3,　as　well　as　the　comprehensive　impact　under　different　time　dimensions　in　Beijing-Tianjin-Hebei　(BTH),　Yangtze　River　Delta　(YRD)　and　Chengdu-Chongqing　regions　(CY).　Results　indicate　O3　concentrations　in　the　study　area　fluctuated　at　high　pollution　levels.　The　effects　of　various　air　pollutants　and　meteorological　factors　on　O3　varied　among　cities.　Temperature　is　the　dominant　driver　for　O3,　followed　by　solar　radiation　and　relative　humidity.　The　influence　of　wind　vector　indicates　different　transport　sources　of　O3　and　its　precursors.　Direct　photochemical　process　based　on　SMLR　fitting　coefficient　calculation　is　the　main　pathway　for　O3　generation,　with　contribution　of　68.7%-93.8%.　In　terms　of　air-pollutant　factors,　U-shaped　response　between　PM2.5　and　O3　in　all　cities　highlighted　the　interaction　of　the　two　air　pollutants.　The　undeniable　impact　of　NO2　on　O3　is　reflected　in　its　range　of　effect.　Meteorological　adjustments　led　to　-　10.4-15.1　mu　g/m3　variations　on　O3　during　2014-2021,　but　performed　obvious　spatiotemporal　differences.　The　changes　in　anthropogenic　emissions　deteriorated　O3　pollution　from　2014　to　2017,　while　have　fluctuated　effect　since　2018.　From　the　actual　cases　in　special　periods,　in　order　to　alleviate　O3　pollution,　it　is　necessary　to　strengthen　the　understanding　of　the　synergistic　contribution　of　meteorology　and　anthropogenic　emissions.