As　Chi na’s　shipping　industry　continues　to　develop,　ship　emissions　have　become　a　significant　source　of　pollutants.　Consequently,　it　has　become　imperative　to　comprehend　accurately　the　nature　and　attributes　of　ship　pollutant　emissions　and　understand　their　causation　and　effect　as　a　crucial　aspect　of　pollution　control　and　legislation.　This　paper　employs　high-precision　automatic　identification　system　(AIS)　dynamic　and　static　data,　along　with　pollutant　emission　parameters,　to　estimate　the　pollutant　emissions　from　a　ship’s　main　engine,　auxiliary　engine,　and　boiler　using　a　dynamic　approach.　Additionally,　the　study　considers　the　sailing　state　and　trajectory　of　the　vessel　and　analyzes　the　characteristics　of　ship　carbon　emissions.　Taking　Tianjin　Port　as　an　example,　this　study　conducts　a　multi-dimensional　analysis　of　pollutant　emissions　to　gain　insight　into　the　causation　and　effect　of　pollutants　based　on　the　collected　big　AIS　data.　The　results　show　that　the　pollutant　emissions　in　this　region　are　mainly　concentrated　in　the　vicinity　of　Tianjin　Port　land　port　area,　Dagusha　Channel,　and　the　Main　Shipping　Channel　of　Tianjin　Xingang　Fairway.　Carbon　emissions　peak　in　September　and　are　lower　in　June　and　December.　Through　accurate　analysis　of　pollutant　emission　sources　and　emission　characteristics　in　the　region,　this　paper　establishes　the　regular　relationship　between　pollutant　emissions　and　possible　influencing　factors　and　provides　data　support　for　China　to　formulate　accurate　pollutant　emission　reduction　policies　and　regulate　ship　construction　technology　and　carbon　trading.　©　2023,　The　Author(s),　under　exclusive　licence　to　Springer-Verlag　GmbH　Germany,　part　of　Springer　Nature.