In　this　study,　a　first　high　temporal-spatial　ship　emission　inventory　in　Qingdao　Port　and　its　adjacent　waters　has　been　developed　using　a　＂bottom-up＂　method　based　on　Automatic　Identification　System　(AIS)　data.　The　total　estimated　ship　emissions　for　SO2,　NOx,　PM10,　PM2.5,　HC　and　CO　in　2014　are　3.32　x　10(4),　4.29　x　10(4),　4.54　x　10(3),　4.18　x　10(3),1.85　x　10(3)　and　3.66　x　10(3)　tonnes,　respectively.　Emissions　of　SO2　and　NOx　from　ships　account　for　9%　and　13%　of　the　anthropogenic　totals　in　Qingdao,　respectively.　The　main　contributors　to　the　ship　emissions　are　containers,　followed　by　fishing　ships,　oil　tankers　and　bulk　carriers.　The　inter-monthly　ship　emissions　varied　significantly　due　to　two　reasons:　stopping　of　the　fishing　ship　activities　during　the　fishing　moratorium　and　the　reduction　of　freight　volume　around　the　Chinese　New　Year　Festival.　Emissions　from　transport　vessels　concentrated　basically　along　the　shipping　routes,　while　fishing　ships　contributed　to　massive　irregular　spatial　emissions　in　the　sea.　The　impact　of　ship　emissions　on　the　ambient　air　quality　was　further　investigated　using　the　Weather　Research　and　Forecasting　with　Chemistry　(WRF/Chem)　model.　The　results　reveal　that　the　contribution　of　ship　emissions　to　the　PM2.5　concentrations　in　Qingdao　is　the　highest　in　summer　(13.1%)　and　the　lowest　in　winter　(1.5%).　The　impact　was　more　evident　over　densely　populated　urban　areas,　where　the　contributions　from　ship　emissions　could　be　over　20%　in　July　due　to　their　close　range　to　the　docks.　These　results　indicated　that　the　management　and　control　of　the　ship　emissions　are　highly　demanded　considering　their　remarkable　influence　on　the　air　quality　and　potential　negative　effects　on　human　health.　(C)　2017　Elsevier　Ltd.　All　rights　reserved.