A　novel　algorithm　for　generating　multi-component,　high-resolution　emission　inventories　for　air　quality　models　(AQMs)　was　developed,　enhancing　the　0.01°　spatial　allocation　scheme　for　points,　lines,　and　surfaces　based　on　land　use,　population　density,　and　road　networks.　It　incorporated　localized　chemical　species　allocation　based　on　recent　Volatile　Organic　Compounds　(VOCs)　and　Particulate　Matter　(PM)　composition,　along　with　time　allocation　scheme　utilizing　monthly　and　hourly　non-uniformity　coefficients.　The　algorithm　consists　of　four　modules　for　grid　calculation,　refined　inventory　calculation,　coarse　grid　interpolation,　and　model-ready　inventory　production.　It　achieved　highly　integrated　and　one-step　workflow　from　raw　parameter　settings　to　direct　model-ready　emission　files　for　simulations　with　CMAQ　and　CAMx.　The　Beijing-Tianjin-Hebei　(BTH)　region　was　used　as　example　to　introduce　the　production　process　and　research　characteristics　of　refined　emission　inventory.　The　results　demonstrated　that　this　algorithm　effectively　captures　the　spatiotemporal　distribution　and　dynamics　of　atmospheric　pollutants,　offering　significant　support　for　emission　and　simulation　research.　©　2025