The　waterlogging　disaster　has　become　a　major　threat　to　the　resilient　development　of　cities,　which　needs　a　unified　and　systematic　accounting　framework　to　estimate　potential　waterlogging　effects　in　terms　of　forming　disaster　prevention　strategies.　In　this　paper,　we　developed　an　emergy-based　waterlogging　footprint　accounting　framework　applying　depth-damage　functions,　input-output　(IO)　analysis　and　ecological　footprint,　considering　both　economic　and　environmental　factors.　Taking　the　old　town　Beijing　as　a　case　study,　we　simulated　the　urban　waterlogging　distribution　with　a　hydrodynamic　model　(InfoWorks　ICM)　over　different　return　periods　(1,　2,　3,　5,　10,　20,　and　50　years)　at　high　resolution.　This　study　first　considered　the　economic　impact　caused　by　urban　waterlogging　to　evaluate　the　direct　economic　loss　and　indirect　economic　loss　by　using　the　depth-damage　function　and　IO　model,　respectively.　The　environmental　loss　was　assessed　with　an　ecological　footprint　and　was　unified　by　emergy　with　economic　loss.　Then,　four　emergy-based　indicators　were　established　to　quantify　the　specific　impacts　of　waterlogging　on　urban　resilience.　The　results　show　that　the　waterlogging　footprints　grew　constantly　by　284.57%　from　1　year　to　50　years.　The　waterlogging　footprints　driven　by　environmental　loss,　which　were　overlooked,　accounted　for　13.02%　of　the　total.　The　waterlogging　footprint　density　and　waterlogging　resilience　index　showed　high　spatial　heterogeneity,　indicating　that　the　sensitivity　of　subdistricts　to　waterlogging　varies　greatly.　Our　study　provides　a　useful　energy-based　tool　for　assessing　urban　waterlogging　losses　and　supports　decision-making　for　waterlogging　disaster　mitigation　and　risk　zoning　management.