In　this　paper,　an　inexact　two-stage　stochastic　programming　model　was　developed　for　supporting　regional　water　resource　allocation　management　under　uncertainties.　The　proposed　model　is　an　integrated　framework　of　interval　parameter　programming　and　two-stage　stochastic　programming,　which　can　tackle　uncertain　parameters　expressed　as　interval　values　with　probability　distribution　information.　The　proposed　model　was　successfully　applied　to　a　typical　heavy　industrial　city　suffering　water　shortage　in　the　east　of　China,　Tianjin.　The　uncertainties　of　future　water　demand　were　taken　into　account　through　generating　a　set　of　representative　scenarios.　The　results　indicated　that　different　scenarios　would　affect　the　water　distribution　patterns,　water　shortages,　total　benefits　and　system　cost.　The　results　revealed　that　the　transferred　water　from　Luan　River　and　Changjiang　River　would　still　be　the　main　water　resource　for　each　water　user.　Besides,　nearly　all　water　demand　in　planning　horizon　would　be　guaranteed　through　the　reasonable　dispatch　except　under　high　demand　level　scenario,　in　which　a　small　proportion　of　water　requirement　in　agricultural,　municipal　and　environmental　sectors　would　not　be　satisfied.　The　developed　method　could　be　used　by　environmental　managers　to　identify　the　optimal　water　supply　plan　from　multiple　sources　to　different　end-user　sectors　under　system　uncertainties.