Snowmelt　hydrology　becomes　an　important　component　of　the　soil　and　water　assessment　tool　(SWAT)　when　spring　flows　are　dominated　by　melting　snow.　The　objective　of　this　study　was　to　evaluate　the　performance　of　the　SWAT　model＇s　snowmelt　parameters　by　simulating　nonpoint　source　pollution　in　the　source　area　of　the　Liao　River　-　a　cold　area　in　China.　The　seven　snowmelt　parameters　for　the　simulation　were　adjusted.　The　exports　rule　of　nonpoint　source　pollution　for　the　spring　snowmelt　period　was　analyzed.　The　result　show　that　SFTMP,　SMTMP,　SMFMX,　SMFMN,　and　TIME＇　were　sensitive　parameters,　while　SNOCOVMX　and　SNO50COV　were　insensitive.　In　addition,　two　common　statistics　(Nash-Sutcliffe　coefficient,　and　coefficient　of　determination)　were　used　to　evaluate　the　model.　This　evaluation　indicated　that　the　SWAT　model　had　good　performance　simulating　the　seasonal　nonpoint　source　pollution　with　large　snowmelt.　According　to　the　analysis,　rainfall　and　snowmelt　is　a　main　driver　of　nonpoint　source　pollution　in　the　cold　area,　and　that　summer　and　spring　are　high-risk　seasons.　The　study　provides　a　new　and　suitable　method　of　nonpoint　source　pollution　simulation　for　the　cold　areas.