The　infiltration-runoff　process　plays　a　crucial　role　in　hydrological　studies.　The　influences　of　rainfall　patterns　and　slope　gradients　on　the　infiltration-runoff　process　are　not　yet　fully　understood,　particularly　under　field　conditions.　In-situ　monitoring　and　experiments　were　conducted　to　investigate　the　effects　of　a　uniform　rainfall　pattern　(UR,　q　=　17.5　mm　h-　1　and　q　=　35　mm　h-　1),　the　Chicago　rainfall　pattern　(CR),　and　different　slopes　(beta　=　5　degrees　and　25　degrees)　on　the　infiltration,　runoff,　and　sediment　yield.　The　CR　pattern　is　a　mathematical　model　used　to　simulate　natural　rainfall　based　on　historical　rainfall　data　for　a　specific　region.　The　results　show　that　the　response　times　of　both　the　volumetric　water　content　(VWC)　and　matric　suction　are　directly　proportional　to　depth,　whereas　their　magnitudes　are　inversely　proportional.　The　soil　water　characteristic　curve　(SWCC)　obtained　using　the　van　Genuchten　(vG)　model　can　be　established　based　on　monitoring　data　for　the　drying　path.　The　rainwater　transformation　is　altered　by　the　CR　pattern,　prolonging　the　initial　runoff　time　and　reducing　rainfall　infiltration.　The　infiltration　and　runoff　rate　curves,　which　mirror　the　rainfall　pattern,　exhibit　peak　values　that　increase　both　the　cumulative　runoff　and　sediment　yield.　The　runoff　rate,　shear　stress,　and　hydraulic　power　are　significantly　increased　by　increasing　the　slope　angle.　This　positively　contributes　to　the　runoff　and　sediment　yield　and　reduces　the　rainfall　infiltration.　The　soil　water　profile　during　infiltration　can　be　qualitatively　divided　into　three　stages.　A　time　correction　parameter,　which　is　highly　related　to　the　initial　runoff　time,　is　incorporated　into　the　Kostiakov　model　to　more　precisely　predict　the　infiltration　process.　This　paper　presents　a　novel　approach　for　applying　the　CR　pattern　to　hillslope　hydrology.　Our　findings　improve　the　understanding　of　the　effects　of　rainfall　patterns　and　gradients　on　rainwater　transformation　and　sediment　yield　and　provide　a　scientific　reference　for　hydrological　modelling.