The　estimation　and　application　of　Intensity-Duration-Frequency　(IDF)　curves　depend　on　the　assumption　of　stationarity　of　the　rainfall　series,　which　is　that　the　intensity　and　frequency　of　extreme　hydrological　events　remain　unchanged　in　the　future.　Climate　change　will　have　a　significant　impact　on　the　collection　and　utilization　of　rainwater　and　its　spatial　characteristics.　When　the　Gray-Green　infrastructure　is　designed,　if　only　historical　precipitation　is　adopted　to　calculate　the　urban　design　rainstorm　intensity　formula　(DRIF)　and　the　total　annual　runoff　control　rate,　it　may　be　difficult　to　meet　the　demand　of　future　precipitation　changes　on　the　city＇s　ability　to　accommodate　rainfall.　Therefore,　it　is　very　important　to　study　the　impact　of　climate　change　on　the　IDF　curve.　This　study　proposes　an　overall　optimization　solution　framework　for　historical　and　future　DRIF.　The　impact　of　the　extreme　value　on　the　IDF　curve　during　the　historical　period　is　analyzed.　The　calculation　method　of　the　IDF　curve　in　the　future　period　is　established.　The　changes　of　the　rainstorm　intensity　in　the　historical　and　future　period　(SSP1-2.6,SSP2-4.5,SSP3-7.0,SSP5-8.5)　were　analyzed　for　the　15　durations　and　eight　return　periods　in　Beijing,　China.　The　results　of　this　study　show　that　the　nondominated　sorting　and　local　search　(NSLS)　has　the　best　accuracy　in　fitting　the　statistical　samples　of　precipitation　for　different　durations.　The　best　methods　to　judge　and　process　the　extreme　value　of　the　statistical　sample　are　Z-score　and　average　value　of　series　greater　than　critical　value　(AVG).　Under　the　four　SSP　scenarios,　the　estimated　IDF　value　is　larger　than　the　observed　value　in　the　historical　period.　The　results　of　the　equivalent　return　period　calculated　using　the　DRIF　show　that　the　the　four　SSP　scenarios　are　smaller　than　the　historical　period　for　the　return　period　greater　than　five　years.　Taking　120　min　of　short-duration　precipitation　as　an　example,　the　100-year　equivalent　return　periods　of　the　observation　under　the　four　SSP　scenarios　are　35-,　20-,　54-,　and　17-years,　respectively.　The　research　can　provide　valuable　reference　for　the　design　and　planning　of　the　drainage　facility　under　climate　change.