Identifying　and　quantifying　pollution　sources　and　their　associated　health　risks　are　essential　for　formulating　effective　pollution　control　policies.　This　study　analyzed　PM2.5-bound　trace　elements　based　on　one　year　of　sampling　data　collected　from　a　low-PM2.5　island　in　southeastern　coastal　China.　A　de-weathered　model　based　on　the　eXtreme　Gradient　Boosting　(XGBoost)　algorithm　was　applied　to　remove　meteorological　influences　and　estimate　local　baseline　pollutant　concentrations.　By　combining　backward　air　mass　trajectories　with　de-weathered　concentrations,　we　quantified　the　variation　in　transport　contributions　among　different　trajectory　types.　Results　indicated　that　meteorological　factors　reduced　PM2.5　and　anthropogenic　trace　element　concentrations　by　36.7　%-　58.4　%　in　summer,　but　increased　them　by　6.4　%-26.0　%　in　winter.　In　contrast,　elements　related　to　shipping　emissions　showed　an　opposite　trend.　Positive　matrix　factorization　(PMF)　identified　industrial　and　shipping　emissions　as　the　two　main　sources　of　trace　elements,　originating　from　distinct　regions.　Shipping　emissions　contributed　greatly　health　risks　in　summer,　while　industrial　emissions　dominated　in　other　seasons.　The　noncarcinogenic　risk　(NCR)　remained　within　acceptable　levels,　whereas　carcinogenic　risks　(CR)　exceeded　recommended　thresholds.　Marine　airflows　(MA),　inland　airflows　(IA),　and　local　airflows　(LA)　altered　trace　element　concentrations　by　-3.7　%,　+6.4　%,　and　-5.4　%,　respectively.　These　airflow　types　changed　NCR　by　-16.4　%,　+8.2　%,　and　-13.5　%,　and　CR　by　-4.1　%,　+4.7　%,　and　-28.9　%,　respectively.　These　findings　underscore　the　substantial　impact　of　regional　transport　on　trace　elements　and　the　critical　need　for　coordinated　regional　air　quality　management,　offering　new　insights　into　pollutant　sources　and　their　associated　health　risks　in　relatively　less　polluted　coastal　regions.