At　present,　many　cities　in　China　are　short　of　pipeline-flow　observations,　which　leads　to　large　challenges　to　construct　urban　hydrological　models　for　detailed　rainfall-runoff　simulations.　In　this　study,　the　core　district　of　Yizhuang　Economic　Development　Zone　was　selected　as　the　study　area.　Based　on　the　accurate　digitalized　land-surface　data,　field　survey　and　empirical　verification　of　urban　storm　process　was　carried　out　in　terms　of　the　maximum　runoff　depth　at　specific　spots,　and　the　SWMM　model　was　calibrated　and　verified　for　the　two　typical　storm　events　in　July　21st,　2012　and　June　23rd,　2011.　Subsequently,　the　runoff　response　rate　and　traffic　congestion　risk　of　design　rainstorms　in　different　return　periods　were　analyzed　and　evaluated　in　sub-catchments　with　various　land-uses.　The　results　show　that　as　return　period　increases,　street　and　transportation　land-uses　have　a　higher　response　rate　to　the　increase　of　rainstorm　than　park　and　green　land-uses　do,　and　the　former　has　a　higher　risk　of　waterlogging-triggered　traffic　congestion　than　the　latter.　This　finding　indirectly　reflects　the　variability　of　runoff　response　rates　under　different　land-surface　conditions.　This　study　is　potential　to　provide　decision-makers　with　valuable　suggestions　on　effective　local　urban-flood　control　and　early　warning.　©　2020,　Editorial　Board　of　Advances　in　Water　Science.　All　right　reserved.